Metz, Anneke M
2008-01-01
There is an increasing need for students in the biological sciences to build a strong foundation in quantitative approaches to data analyses. Although most science, engineering, and math field majors are required to take at least one statistics course, statistical analysis is poorly integrated into undergraduate biology course work, particularly at the lower-division level. Elements of statistics were incorporated into an introductory biology course, including a review of statistics concepts and opportunity for students to perform statistical analysis in a biological context. Learning gains were measured with an 11-item statistics learning survey instrument developed for the course. Students showed a statistically significant 25% (p < 0.005) increase in statistics knowledge after completing introductory biology. Students improved their scores on the survey after completing introductory biology, even if they had previously completed an introductory statistics course (9%, improvement p < 0.005). Students retested 1 yr after completing introductory biology showed no loss of their statistics knowledge as measured by this instrument, suggesting that the use of statistics in biology course work may aid long-term retention of statistics knowledge. No statistically significant differences in learning were detected between male and female students in the study.
2008-01-01
There is an increasing need for students in the biological sciences to build a strong foundation in quantitative approaches to data analyses. Although most science, engineering, and math field majors are required to take at least one statistics course, statistical analysis is poorly integrated into undergraduate biology course work, particularly at the lower-division level. Elements of statistics were incorporated into an introductory biology course, including a review of statistics concepts and opportunity for students to perform statistical analysis in a biological context. Learning gains were measured with an 11-item statistics learning survey instrument developed for the course. Students showed a statistically significant 25% (p < 0.005) increase in statistics knowledge after completing introductory biology. Students improved their scores on the survey after completing introductory biology, even if they had previously completed an introductory statistics course (9%, improvement p < 0.005). Students retested 1 yr after completing introductory biology showed no loss of their statistics knowledge as measured by this instrument, suggesting that the use of statistics in biology course work may aid long-term retention of statistics knowledge. No statistically significant differences in learning were detected between male and female students in the study. PMID:18765754
ERIC Educational Resources Information Center
Green, Jeffrey J.; Stone, Courtenay C.; Zegeye, Abera; Charles, Thomas A.
2009-01-01
Because statistical analysis requires the ability to use mathematics, students typically are required to take one or more prerequisite math courses prior to enrolling in the business statistics course. Despite these math prerequisites, however, many students find it difficult to learn business statistics. In this study, we use an ordered probit…
The Math Problem: Advertising Students' Attitudes toward Statistics
ERIC Educational Resources Information Center
Fullerton, Jami A.; Kendrick, Alice
2013-01-01
This study used the Students' Attitudes toward Statistics Scale (STATS) to measure attitude toward statistics among a national sample of advertising students. A factor analysis revealed four underlying factors make up the attitude toward statistics construct--"Interest & Future Applicability," "Confidence," "Statistical Tools," and "Initiative."…
An Analysis of Attitudes toward Statistics: Gender Differences among Advertising Majors.
ERIC Educational Resources Information Center
Fullerton, Jami A.; Umphrey, Don
This study measures advertising students' attitudes toward statistics. Subjects, 275 undergraduate advertising students from two southwestern United States universities, completed a questionnaire used to gauge students' attitudes toward statistics by measuring 6 underlying factors: (1) students' interest and future applicability; (2) relationship…
NASA Astrophysics Data System (ADS)
Hendikawati, P.; Arifudin, R.; Zahid, M. Z.
2018-03-01
This study aims to design an android Statistics Data Analysis application that can be accessed through mobile devices to making it easier for users to access. The Statistics Data Analysis application includes various topics of basic statistical along with a parametric statistics data analysis application. The output of this application system is parametric statistics data analysis that can be used for students, lecturers, and users who need the results of statistical calculations quickly and easily understood. Android application development is created using Java programming language. The server programming language uses PHP with the Code Igniter framework, and the database used MySQL. The system development methodology used is the Waterfall methodology with the stages of analysis, design, coding, testing, and implementation and system maintenance. This statistical data analysis application is expected to support statistical lecturing activities and make students easier to understand the statistical analysis of mobile devices.
Comparative analysis of positive and negative attitudes toward statistics
NASA Astrophysics Data System (ADS)
Ghulami, Hassan Rahnaward; Ab Hamid, Mohd Rashid; Zakaria, Roslinazairimah
2015-02-01
Many statistics lecturers and statistics education researchers are interested to know the perception of their students' attitudes toward statistics during the statistics course. In statistics course, positive attitude toward statistics is a vital because it will be encourage students to get interested in the statistics course and in order to master the core content of the subject matters under study. Although, students who have negative attitudes toward statistics they will feel depressed especially in the given group assignment, at risk for failure, are often highly emotional, and could not move forward. Therefore, this study investigates the students' attitude towards learning statistics. Six latent constructs have been the measurement of students' attitudes toward learning statistic such as affect, cognitive competence, value, difficulty, interest, and effort. The questionnaire was adopted and adapted from the reliable and validate instrument of Survey of Attitudes towards Statistics (SATS). This study is conducted among engineering undergraduate engineering students in the university Malaysia Pahang (UMP). The respondents consist of students who were taking the applied statistics course from different faculties. From the analysis, it is found that the questionnaire is acceptable and the relationships among the constructs has been proposed and investigated. In this case, students show full effort to master the statistics course, feel statistics course enjoyable, have confidence that they have intellectual capacity, and they have more positive attitudes then negative attitudes towards statistics learning. In conclusion in terms of affect, cognitive competence, value, interest and effort construct the positive attitude towards statistics was mostly exhibited. While negative attitudes mostly exhibited by difficulty construct.
ERIC Educational Resources Information Center
Kadel, Robert
2004-01-01
To her surprise, Ms. Logan had just conducted a statistical analysis of her 10th grade biology students' quiz scores. The results indicated that she needed to reinforce mitosis before the students took the high-school proficiency test in three weeks, as required by the state. "Oh! That's easy!" She exclaimed. Teachers like Ms. Logan are…
ERIC Educational Resources Information Center
Mutz, Rudiger; Daniel, Hans-Dieter
2013-01-01
Background: It is often claimed that psychology students' attitudes towards research methods and statistics affect course enrolment, persistence, achievement, and course climate. However, the inter-institutional variability has been widely neglected in the research on students' attitudes towards research methods and statistics, but it is important…
Measuring the Success of an Academic Development Programme: A Statistical Analysis
ERIC Educational Resources Information Center
Smith, L. C.
2009-01-01
This study uses statistical analysis to estimate the impact of first-year academic development courses in microeconomics, statistics, accountancy, and information systems, offered by the University of Cape Town's Commerce Academic Development Programme, on students' graduation performance relative to that achieved by mainstream students. The data…
Swetha, Jonnalagadda Laxmi; Arpita, Ramisetti; Srikanth, Chintalapani; Nutalapati, Rajasekhar
2014-01-01
Biostatistics is an integral part of research protocols. In any field of inquiry or investigation, data obtained is subsequently classified, analyzed and tested for accuracy by statistical methods. Statistical analysis of collected data, thus, forms the basis for all evidence-based conclusions. The aim of this study is to evaluate the cognition, comprehension and application of biostatistics in research among post graduate students in Periodontics, in India. A total of 391 post graduate students registered for a master's course in periodontics at various dental colleges across India were included in the survey. Data regarding the level of knowledge, understanding and its application in design and conduct of the research protocol was collected using a dichotomous questionnaire. A descriptive statistics was used for data analysis. Nearly 79.2% students were aware of the importance of biostatistics in research, 55-65% were familiar with MS-EXCEL spreadsheet for graphical representation of data and with the statistical softwares available on the internet, 26.0% had biostatistics as mandatory subject in their curriculum, 9.5% tried to perform statistical analysis on their own while 3.0% were successful in performing statistical analysis of their studies on their own. Biostatistics should play a central role in planning, conduct, interim analysis, final analysis and reporting of periodontal research especially by the postgraduate students. Indian postgraduate students in periodontics are aware of the importance of biostatistics in research but the level of understanding and application is still basic and needs to be addressed.
NASA Astrophysics Data System (ADS)
Hendikawati, P.; Dewi, N. R.
2017-04-01
Statistics needed for use in the data analysis process and had a comprehensive implementation in daily life so that students must master the well statistical material. The use of Statistics textbook support with ICT and portfolio assessment approach was expected to help the students to improve mathematical connection skills. The subject of this research was 30 student teachers who take Statistics courses. The results of this research are the use of Statistics textbook support with ICT and portfolio assessment approach can improve students mathematical connection skills.
Vahedi, Shahrum; Farrokhi, Farahman; Gahramani, Farahnaz; Issazadegan, Ali
2012-01-01
Approximately 66-80%of graduate students experience statistics anxiety and some researchers propose that many students identify statistics courses as the most anxiety-inducing courses in their academic curriculums. As such, it is likely that statistics anxiety is, in part, responsible for many students delaying enrollment in these courses for as long as possible. This paper proposes a canonical model by treating academic procrastination (AP), learning strategies (LS) as predictor variables and statistics anxiety (SA) as explained variables. A questionnaire survey was used for data collection and 246-college female student participated in this study. To examine the mutually independent relations between procrastination, learning strategies and statistics anxiety variables, a canonical correlation analysis was computed. Findings show that two canonical functions were statistically significant. The set of variables (metacognitive self-regulation, source management, preparing homework, preparing for test and preparing term papers) helped predict changes of statistics anxiety with respect to fearful behavior, Attitude towards math and class, Performance, but not Anxiety. These findings could be used in educational and psychological interventions in the context of statistics anxiety reduction.
Teaching Statistics from the Operating Table: Minimally Invasive and Maximally Educational
ERIC Educational Resources Information Center
Nowacki, Amy S.
2015-01-01
Statistics courses that focus on data analysis in isolation, discounting the scientific inquiry process, may not motivate students to learn the subject. By involving students in other steps of the inquiry process, such as generating hypotheses and data, students may become more interested and vested in the analysis step. Additionally, such an…
Improving Student Understanding of Spatial Ecology Statistics
ERIC Educational Resources Information Center
Hopkins, Robert, II; Alberts, Halley
2015-01-01
This activity is designed as a primer to teaching population dispersion analysis. The aim is to help improve students' spatial thinking and their understanding of how spatial statistic equations work. Students use simulated data to develop their own statistic and apply that equation to experimental behavioral data for Gambusia affinis (western…
Swetha, Jonnalagadda Laxmi; Arpita, Ramisetti; Srikanth, Chintalapani; Nutalapati, Rajasekhar
2014-01-01
Background: Biostatistics is an integral part of research protocols. In any field of inquiry or investigation, data obtained is subsequently classified, analyzed and tested for accuracy by statistical methods. Statistical analysis of collected data, thus, forms the basis for all evidence-based conclusions. Aim: The aim of this study is to evaluate the cognition, comprehension and application of biostatistics in research among post graduate students in Periodontics, in India. Materials and Methods: A total of 391 post graduate students registered for a master's course in periodontics at various dental colleges across India were included in the survey. Data regarding the level of knowledge, understanding and its application in design and conduct of the research protocol was collected using a dichotomous questionnaire. A descriptive statistics was used for data analysis. Results: Nearly 79.2% students were aware of the importance of biostatistics in research, 55-65% were familiar with MS-EXCEL spreadsheet for graphical representation of data and with the statistical softwares available on the internet, 26.0% had biostatistics as mandatory subject in their curriculum, 9.5% tried to perform statistical analysis on their own while 3.0% were successful in performing statistical analysis of their studies on their own. Conclusion: Biostatistics should play a central role in planning, conduct, interim analysis, final analysis and reporting of periodontal research especially by the postgraduate students. Indian postgraduate students in periodontics are aware of the importance of biostatistics in research but the level of understanding and application is still basic and needs to be addressed. PMID:24744547
A First Assignment to Create Student Buy-In in an Introductory Business Statistics Course
ERIC Educational Resources Information Center
Newfeld, Daria
2016-01-01
This paper presents a sample assignment to be administered after the first two weeks of an introductory business focused statistics course in order to promote student buy-in. This assignment integrates graphical displays of data, descriptive statistics and cross-tabulation analysis through the lens of a marketing analysis study. A marketing sample…
Analysis of Variance with Summary Statistics in Microsoft® Excel®
ERIC Educational Resources Information Center
Larson, David A.; Hsu, Ko-Cheng
2010-01-01
Students regularly are asked to solve Single Factor Analysis of Variance problems given only the sample summary statistics (number of observations per category, category means, and corresponding category standard deviations). Most undergraduate students today use Excel for data analysis of this type. However, Excel, like all other statistical…
ERIC Educational Resources Information Center
Horn, Laura; Nevill, Stephanie; Griffith, James
2006-01-01
This report is the fifth in a series of reports that provide a statistical snapshot of the undergraduate population. The reports accompany the newly released data from the National Postsecondary Student Aid Study (NPSAS), and each one includes a focused analysis on a particular topic. This report focuses on community college students, who…
Mathematical background and attitudes toward statistics in a sample of Spanish college students.
Carmona, José; Martínez, Rafael J; Sánchez, Manuel
2005-08-01
To examine the relation of mathematical background and initial attitudes toward statistics of Spanish college students in social sciences the Survey of Attitudes Toward Statistics was given to 827 students. Multivariate analyses tested the effects of two indicators of mathematical background (amount of exposure and achievement in previous courses) on the four subscales. Analysis suggested grades in previous courses are more related to initial attitudes toward statistics than the number of mathematics courses taken. Mathematical background was related with students' affective responses to statistics but not with their valuing of statistics. Implications of possible research are discussed.
Vahedi, Shahrum; Farrokhi, Farahman; Gahramani, Farahnaz; Issazadegan, Ali
2012-01-01
Objective: Approximately 66-80%of graduate students experience statistics anxiety and some researchers propose that many students identify statistics courses as the most anxiety-inducing courses in their academic curriculums. As such, it is likely that statistics anxiety is, in part, responsible for many students delaying enrollment in these courses for as long as possible. This paper proposes a canonical model by treating academic procrastination (AP), learning strategies (LS) as predictor variables and statistics anxiety (SA) as explained variables. Methods: A questionnaire survey was used for data collection and 246-college female student participated in this study. To examine the mutually independent relations between procrastination, learning strategies and statistics anxiety variables, a canonical correlation analysis was computed. Results: Findings show that two canonical functions were statistically significant. The set of variables (metacognitive self-regulation, source management, preparing homework, preparing for test and preparing term papers) helped predict changes of statistics anxiety with respect to fearful behavior, Attitude towards math and class, Performance, but not Anxiety. Conclusion: These findings could be used in educational and psychological interventions in the context of statistics anxiety reduction. PMID:24644468
Heads Up! a Calculation- & Jargon-Free Approach to Statistics
ERIC Educational Resources Information Center
Giese, Alan R.
2012-01-01
Evaluating the strength of evidence in noisy data is a critical step in scientific thinking that typically relies on statistics. Students without statistical training will benefit from heuristic models that highlight the logic of statistical analysis. The likelihood associated with various coin-tossing outcomes gives students such a model. There…
Milic, Natasa M; Masic, Srdjan; Milin-Lazovic, Jelena; Trajkovic, Goran; Bukumiric, Zoran; Savic, Marko; Milic, Nikola V; Cirkovic, Andja; Gajic, Milan; Kostic, Mirjana; Ilic, Aleksandra; Stanisavljevic, Dejana
2016-01-01
The scientific community increasingly is recognizing the need to bolster standards of data analysis given the widespread concern that basic mistakes in data analysis are contributing to the irreproducibility of many published research findings. The aim of this study was to investigate students' attitudes towards statistics within a multi-site medical educational context, monitor their changes and impact on student achievement. In addition, we performed a systematic review to better support our future pedagogical decisions in teaching applied statistics to medical students. A validated Serbian Survey of Attitudes Towards Statistics (SATS-36) questionnaire was administered to medical students attending obligatory introductory courses in biostatistics from three medical universities in the Western Balkans. A systematic review of peer-reviewed publications was performed through searches of Scopus, Web of Science, Science Direct, Medline, and APA databases through 1994. A meta-analysis was performed for the correlation coefficients between SATS component scores and statistics achievement. Pooled estimates were calculated using random effects models. SATS-36 was completed by 461 medical students. Most of the students held positive attitudes towards statistics. Ability in mathematics and grade point average were associated in a multivariate regression model with the Cognitive Competence score, after adjusting for age, gender and computer ability. The results of 90 paired data showed that Affect, Cognitive Competence, and Effort scores demonstrated significant positive changes. The Cognitive Competence score showed the largest increase (M = 0.48, SD = 0.95). The positive correlation found between the Cognitive Competence score and students' achievement (r = 0.41; p<0.001), was also shown in the meta-analysis (r = 0.37; 95% CI 0.32-0.41). Students' subjective attitudes regarding Cognitive Competence at the beginning of the biostatistics course, which were directly linked to mathematical knowledge, affected their attitudes at the end of the course that, in turn, influenced students' performance. This indicates the importance of positively changing not only students' cognitive competency, but also their perceptions of gained competency during the biostatistics course.
Chae, Su Jin; Jeong, So Mi; Chung, Yoon-Sok
2017-09-01
This study is aimed at identifying the relationships between medical school students' academic burnout, empathy, and calling, and determining whether their calling has a mediating effect on the relationship between academic burnout and empathy. A mixed method study was conducted. One hundred twenty-seven medical students completed a survey. Scales measuring academic burnout, medical students' empathy, and calling were utilized. For statistical analysis, correlation analysis, descriptive statistics analysis, and hierarchical multiple regression analyses were conducted. For qualitative approach, eight medical students participated in a focus group interview. The study found that empathy has a statistically significant, negative correlation with academic burnout, while having a significant, positive correlation with calling. Sense of calling proved to be an effective mediator of the relationship between academic burnout and empathy. This result demonstrates that calling is a key variable that mediates the relationship between medical students' academic burnout and empathy. As such, this study provides baseline data for an education that could improve medical students' empathy skills.
ERIC Educational Resources Information Center
Teater, Barbra; Roy, Jessica; Carpenter, John; Forrester, Donald; Devaney, John; Scourfield, Jonathan
2017-01-01
Students in the United Kingdom (UK) are found to lack knowledge and skills in quantitative research methods. To address this gap, a quantitative research method and statistical analysis curriculum comprising 10 individual lessons was developed, piloted, and evaluated at two universities The evaluation found that BSW students' (N = 81)…
Formative Use of Intuitive Analysis of Variance
ERIC Educational Resources Information Center
Trumpower, David L.
2013-01-01
Students' informal inferential reasoning (IIR) is often inconsistent with the normative logic underlying formal statistical methods such as Analysis of Variance (ANOVA), even after instruction. In two experiments reported here, student's IIR was assessed using an intuitive ANOVA task at the beginning and end of a statistics course. In both…
Examples of Data Analysis with SPSS-X.
ERIC Educational Resources Information Center
MacFarland, Thomas W.
Intended for classroom use only, these unpublished notes contain computer lessons on descriptive statistics using SPSS-X Release 3.0 for VAX/UNIX. Statistical measures covered include Chi-square analysis; Spearman's rank correlation coefficient; Student's t-test with two independent samples; Student's t-test with a paired sample; One-way analysis…
Predicting Success in Psychological Statistics Courses.
Lester, David
2016-06-01
Many students perform poorly in courses on psychological statistics, and it is useful to be able to predict which students will have difficulties. In a study of 93 undergraduates enrolled in Statistical Methods (18 men, 75 women; M age = 22.0 years, SD = 5.1), performance was significantly associated with sex (female students performed better) and proficiency in algebra in a linear regression analysis. Anxiety about statistics was not associated with course performance, indicating that basic mathematical skills are the best correlate for performance in statistics courses and can usefully be used to stream students into classes by ability. © The Author(s) 2016.
Rock, Adam J.; Coventry, William L.; Morgan, Methuen I.; Loi, Natasha M.
2016-01-01
Generally, academic psychologists are mindful of the fact that, for many students, the study of research methods and statistics is anxiety provoking (Gal et al., 1997). Given the ubiquitous and distributed nature of eLearning systems (Nof et al., 2015), teachers of research methods and statistics need to cultivate an understanding of how to effectively use eLearning tools to inspire psychology students to learn. Consequently, the aim of the present paper is to discuss critically how using eLearning systems might engage psychology students in research methods and statistics. First, we critically appraise definitions of eLearning. Second, we examine numerous important pedagogical principles associated with effectively teaching research methods and statistics using eLearning systems. Subsequently, we provide practical examples of our own eLearning-based class activities designed to engage psychology students to learn statistical concepts such as Factor Analysis and Discriminant Function Analysis. Finally, we discuss general trends in eLearning and possible futures that are pertinent to teachers of research methods and statistics in psychology. PMID:27014147
Rock, Adam J; Coventry, William L; Morgan, Methuen I; Loi, Natasha M
2016-01-01
Generally, academic psychologists are mindful of the fact that, for many students, the study of research methods and statistics is anxiety provoking (Gal et al., 1997). Given the ubiquitous and distributed nature of eLearning systems (Nof et al., 2015), teachers of research methods and statistics need to cultivate an understanding of how to effectively use eLearning tools to inspire psychology students to learn. Consequently, the aim of the present paper is to discuss critically how using eLearning systems might engage psychology students in research methods and statistics. First, we critically appraise definitions of eLearning. Second, we examine numerous important pedagogical principles associated with effectively teaching research methods and statistics using eLearning systems. Subsequently, we provide practical examples of our own eLearning-based class activities designed to engage psychology students to learn statistical concepts such as Factor Analysis and Discriminant Function Analysis. Finally, we discuss general trends in eLearning and possible futures that are pertinent to teachers of research methods and statistics in psychology.
Students' Appreciation of Expectation and Variation as a Foundation for Statistical Understanding
ERIC Educational Resources Information Center
Watson, Jane M.; Callingham, Rosemary A.; Kelly, Ben A.
2007-01-01
This study presents the results of a partial credit Rasch analysis of in-depth interview data exploring statistical understanding of 73 school students in 6 contextual settings. The use of Rasch analysis allowed the exploration of a single underlying variable across contexts, which included probability sampling, representation of temperature…
ERIC Educational Resources Information Center
Armijo, Michael; Lundy-Wagner, Valerie; Merrill, Elizabeth
2012-01-01
This paper asks how doctoral students understand the use of race variables in statistical modeling. More specifically, it examines how doctoral students at two universities are trained to define, operationalize, and analyze race variables. The authors interviewed students and instructors in addition to conducting a document analysis of their texts…
A Survey of Statistical Capstone Projects
ERIC Educational Resources Information Center
Martonosi, Susan E.; Williams, Talithia D.
2016-01-01
In this article, we highlight the advantages of incorporating a statistical capstone experience in the undergraduate curriculum, where students perform an in-depth analysis of real-world data. Capstone experiences develop statistical thinking by allowing students to engage in a consulting-like experience that requires skills outside the scope of…
Hagen, Brad; Awosoga, Oluwagbohunmi A; Kellett, Peter; Damgaard, Marie
2013-04-23
This article describes the results of a qualitative research study evaluating nursing students' experiences of a mandatory course in applied statistics, and the perceived effectiveness of teaching methods implemented during the course. Fifteen nursing students in the third year of a four-year baccalaureate program in nursing participated in focus groups before and after taking the mandatory course in statistics. The interviews were transcribed and analyzed using content analysis to reveal four major themes: (i) "one of those courses you throw out?," (ii) "numbers and terrifying equations," (iii) "first aid for statistics casualties," and (iv) "re-thinking curriculum." Overall, the data revealed that although nursing students initially enter statistics courses with considerable skepticism, fear, and anxiety, there are a number of concrete actions statistics instructors can take to reduce student fear and increase the perceived relevance of courses in statistics.
Students' attitudes towards learning statistics
NASA Astrophysics Data System (ADS)
Ghulami, Hassan Rahnaward; Hamid, Mohd Rashid Ab; Zakaria, Roslinazairimah
2015-05-01
Positive attitude towards learning is vital in order to master the core content of the subject matters under study. This is unexceptional in learning statistics course especially at the university level. Therefore, this study investigates the students' attitude towards learning statistics. Six variables or constructs have been identified such as affect, cognitive competence, value, difficulty, interest, and effort. The instrument used for the study is questionnaire that was adopted and adapted from the reliable instrument of Survey of Attitudes towards Statistics(SATS©). This study is conducted to engineering undergraduate students in one of the university in the East Coast of Malaysia. The respondents consist of students who were taking the applied statistics course from different faculties. The results are analysed in terms of descriptive analysis and it contributes to the descriptive understanding of students' attitude towards the teaching and learning process of statistics.
Mutz, Rüdiger; Daniel, Hans-Dieter
2013-06-01
It is often claimed that psychology students' attitudes towards research methods and statistics affect course enrollment, persistence, achievement, and course climate. However, the inter-institutional variability has been widely neglected in the research on students' attitudes towards research methods and statistics, but it is important for didactic purposes (heterogeneity of the student population). The paper presents a scale based on findings of the social psychology of attitudes (polar and emotion-based concept) in conjunction with a method for capturing beginning university students' attitudes towards research methods and statistics and identifying the proportion of students having positive attitudes at the institutional level. The study based on a re-analysis of a nationwide survey in Germany in August 2000 of all psychology students that enrolled in fall 1999/2000 (N= 1,490) and N= 44 universities. Using multilevel latent-class analysis (MLLCA), the aim was to group students in different student attitude types and at the same time to obtain university segments based on the incidences of the different student attitude types. Four student latent clusters were found that can be ranked on a bipolar attitude dimension. Membership in a cluster was predicted by age, grade point average (GPA) on school-leaving exam, and personality traits. In addition, two university segments were found: universities with an average proportion of students with positive attitudes and universities with a high proportion of students with positive attitudes (excellent segment). As psychology students make up a very heterogeneous group, the use of multiple learning activities as opposed to the classical lecture course is required. © 2011 The British Psychological Society.
Examples of Data Analysis with SPSS/PC+ Studentware.
ERIC Educational Resources Information Center
MacFarland, Thomas W.
Intended for classroom use only, these unpublished notes contain computer lessons on descriptive statistics with files previously created in WordPerfect 4.2 and Lotus 1-2-3 Version 1.A for the IBM PC+. The statistical measures covered include Student's t-test with two independent samples; Student's t-test with a paired sample; Chi-square analysis;…
Milic, Natasa M.; Masic, Srdjan; Milin-Lazovic, Jelena; Trajkovic, Goran; Bukumiric, Zoran; Savic, Marko; Milic, Nikola V.; Cirkovic, Andja; Gajic, Milan; Kostic, Mirjana; Ilic, Aleksandra; Stanisavljevic, Dejana
2016-01-01
Background The scientific community increasingly is recognizing the need to bolster standards of data analysis given the widespread concern that basic mistakes in data analysis are contributing to the irreproducibility of many published research findings. The aim of this study was to investigate students’ attitudes towards statistics within a multi-site medical educational context, monitor their changes and impact on student achievement. In addition, we performed a systematic review to better support our future pedagogical decisions in teaching applied statistics to medical students. Methods A validated Serbian Survey of Attitudes Towards Statistics (SATS-36) questionnaire was administered to medical students attending obligatory introductory courses in biostatistics from three medical universities in the Western Balkans. A systematic review of peer-reviewed publications was performed through searches of Scopus, Web of Science, Science Direct, Medline, and APA databases through 1994. A meta-analysis was performed for the correlation coefficients between SATS component scores and statistics achievement. Pooled estimates were calculated using random effects models. Results SATS-36 was completed by 461 medical students. Most of the students held positive attitudes towards statistics. Ability in mathematics and grade point average were associated in a multivariate regression model with the Cognitive Competence score, after adjusting for age, gender and computer ability. The results of 90 paired data showed that Affect, Cognitive Competence, and Effort scores demonstrated significant positive changes. The Cognitive Competence score showed the largest increase (M = 0.48, SD = 0.95). The positive correlation found between the Cognitive Competence score and students’ achievement (r = 0.41; p<0.001), was also shown in the meta-analysis (r = 0.37; 95% CI 0.32–0.41). Conclusion Students' subjective attitudes regarding Cognitive Competence at the beginning of the biostatistics course, which were directly linked to mathematical knowledge, affected their attitudes at the end of the course that, in turn, influenced students' performance. This indicates the importance of positively changing not only students’ cognitive competency, but also their perceptions of gained competency during the biostatistics course. PMID:27764123
NASA Astrophysics Data System (ADS)
Koparan, Timur; Güven, Bülent
2015-07-01
The point of this study is to define the effect of project-based learning approach on 8th Grade secondary-school students' statistical literacy levels for data representation. To achieve this goal, a test which consists of 12 open-ended questions in accordance with the views of experts was developed. Seventy 8th grade secondary-school students, 35 in the experimental group and 35 in the control group, took this test twice, one before the application and one after the application. All the raw scores were turned into linear points by using the Winsteps 3.72 modelling program that makes the Rasch analysis and t-tests, and an ANCOVA analysis was carried out with the linear points. Depending on the findings, it was concluded that the project-based learning approach increases students' level of statistical literacy for data representation. Students' levels of statistical literacy before and after the application were shown through the obtained person-item maps.
Writing to Learn Statistics in an Advanced Placement Statistics Course
ERIC Educational Resources Information Center
Northrup, Christian Glenn
2012-01-01
This study investigated the use of writing in a statistics classroom to learn if writing provided a rich description of problem-solving processes of students as they solved problems. Through analysis of 329 written samples provided by students, it was determined that writing provided a rich description of problem-solving processes and enabled…
Web-Based Statistical Sampling and Analysis
ERIC Educational Resources Information Center
Quinn, Anne; Larson, Karen
2016-01-01
Consistent with the Common Core State Standards for Mathematics (CCSSI 2010), the authors write that they have asked students to do statistics projects with real data. To obtain real data, their students use the free Web-based app, Census at School, created by the American Statistical Association (ASA) to help promote civic awareness among school…
Mathematical problem solving ability of sport students in the statistical study
NASA Astrophysics Data System (ADS)
Sari, E. F. P.; Zulkardi; Putri, R. I. I.
2017-12-01
This study aims to determine the problem-solving ability of sport students of PGRI Palembang semester V in the statistics course. Subjects in this study were sport students of PGRI Palembang semester V which amounted to 31 people. The research method used is quasi experiment type one case shoot study. Data collection techniques in this study use the test and data analysis used is quantitative descriptive statistics. The conclusion of this study shown that the mathematical problem solving ability of PGRI Palembang sport students of V semester in the statistical course is categorized well with the average of the final test score of 80.3.
NASA Astrophysics Data System (ADS)
Delyana, H.; Rismen, S.; Handayani, S.
2018-04-01
This research is a development research using 4-D design model (define, design, develop, and disseminate). The results of the define stage are analyzed for the needs of the following; Syllabus analysis, textbook analysis, student characteristics analysis and literature analysis. The results of textbook analysis obtained the description that of the two textbooks that must be owned by students also still difficulty in understanding it, the form of presentation also has not facilitated students to be independent in learning to find the concept, textbooks are also not equipped with data processing referrals by using software R. The developed module is considered valid by the experts. Further field trials are conducted to determine the practicality and effectiveness. The trial was conducted to the students of Mathematics Education Study Program of STKIP PGRI which was taken randomly which has not taken Basic Statistics Course that is as many as 4 people. Practical aspects of attention are easy, time efficient, easy to interpret, and equivalence. The practical value in each aspect is 3.7; 3.79, 3.7 and 3.78. Based on the results of the test students considered that the module has been very practical use in learning. This means that the module developed can be used by students in Elementary Statistics learning.
ERIC Educational Resources Information Center
Shafiq, M. Najeeb; Myers, John P.
2014-01-01
This study examines the Swedish national educational voucher scheme and changes in social cohesion. We conduct a statistical analysis using data from the 1999 and 2009 rounds of the International Association for the Evaluation of Educational Achievement's civic education study of 14-year-old students and their attitudes toward the rights of ethnic…
Against Inferential Statistics: How and Why Current Statistics Teaching Gets It Wrong
ERIC Educational Resources Information Center
White, Patrick; Gorard, Stephen
2017-01-01
Recent concerns about a shortage of capacity for statistical and numerical analysis skills among social science students and researchers have prompted a range of initiatives aiming to improve teaching in this area. However, these projects have rarely re-evaluated the content of what is taught to students and have instead focussed primarily on…
ERIC Educational Resources Information Center
Williams, Amanda S.
2015-01-01
Statistics anxiety is a common problem for graduate students. This study explores the multivariate relationship between a set of worry-related variables and six types of statistics anxiety. Canonical correlation analysis indicates a significant relationship between the two sets of variables. Findings suggest that students who are more intolerant…
ERIC Educational Resources Information Center
Dancer, Diane; Morrison, Kellie; Tarr, Garth
2015-01-01
Peer-assisted study session (PASS) programs have been shown to positively affect students' grades in a majority of studies. This study extends that analysis in two ways: controlling for ability and other factors, with focus on international students, and by presenting results for PASS in business statistics. Ordinary least squares, random effects…
Diagnosis of students' ability in a statistical course based on Rasch probabilistic outcome
NASA Astrophysics Data System (ADS)
Mahmud, Zamalia; Ramli, Wan Syahira Wan; Sapri, Shamsiah; Ahmad, Sanizah
2017-06-01
Measuring students' ability and performance are important in assessing how well students have learned and mastered the statistical courses. Any improvement in learning will depend on the student's approaches to learning, which are relevant to some factors of learning, namely assessment methods carrying out tasks consisting of quizzes, tests, assignment and final examination. This study has attempted an alternative approach to measure students' ability in an undergraduate statistical course based on the Rasch probabilistic model. Firstly, this study aims to explore the learning outcome patterns of students in a statistics course (Applied Probability and Statistics) based on an Entrance-Exit survey. This is followed by investigating students' perceived learning ability based on four Course Learning Outcomes (CLOs) and students' actual learning ability based on their final examination scores. Rasch analysis revealed that students perceived themselves as lacking the ability to understand about 95% of the statistics concepts at the beginning of the class but eventually they had a good understanding at the end of the 14 weeks class. In terms of students' performance in their final examination, their ability in understanding the topics varies at different probability values given the ability of the students and difficulty of the questions. Majority found the probability and counting rules topic to be the most difficult to learn.
NASA Astrophysics Data System (ADS)
Martin, Lynn A.
The purpose of this study was to examine the relationship between teachers' self-reported preparedness for teaching science content and their instructional practices to the science achievement of eighth grade science students in the United States as demonstrated by TIMSS 2007. Six hundred eighty-seven eighth grade science teachers in the United States representing 7,377 students responded to the TIMSS 2007 questionnaire about their instructional preparedness and their instructional practices. Quantitative data were reported. Through correlation analysis, the researcher found statistically significant positive relationships emerge between eighth grade science teachers' main area of study and their self-reported beliefs about their preparedness to teach that same content area. Another correlation analysis found a statistically significant negative relationship existed between teachers' self-reported use of inquiry-based instruction and preparedness to teach chemistry, physics and earth science. Another correlation analysis discovered a statistically significant positive relationship existed between physics preparedness and student science achievement. Finally, a correlation analysis found a statistically significant positive relationship existed between science teachers' self-reported implementation of inquiry-based instructional practices and student achievement. The data findings support the conclusion that teachers who have feelings of preparedness to teach science content and implement more inquiry-based instruction and less didactic instruction produce high achieving science students. As science teachers obtain the appropriate knowledge in science content and pedagogy, science teachers will feel prepared and will implement inquiry-based instruction in science classrooms.
Enhancing the Teaching of Statistics: Portfolio Theory, an Application of Statistics in Finance
ERIC Educational Resources Information Center
Christou, Nicolas
2008-01-01
In this paper we present an application of statistics using real stock market data. Most, if not all, students have some familiarity with the stock market (or at least they have heard about it) and therefore can understand the problem easily. It is the real data analysis that students find interesting. Here we explore the building of efficient…
NASA Astrophysics Data System (ADS)
Ilyas, Muhammad; Salwah
2017-02-01
The type of this research was experiment. The purpose of this study was to determine the difference and the quality of student's learning achievement between students who obtained learning through Realistic Mathematics Education (RME) approach and students who obtained learning through problem solving approach. This study was a quasi-experimental research with non-equivalent experiment group design. The population of this study was all students of grade VII in one of junior high school in Palopo, in the second semester of academic year 2015/2016. Two classes were selected purposively as sample of research that was: year VII-5 as many as 28 students were selected as experiment group I and VII-6 as many as 23 students were selected as experiment group II. Treatment that used in the experiment group I was learning by RME Approach, whereas in the experiment group II by problem solving approach. Technique of data collection in this study gave pretest and posttest to students. The analysis used in this research was an analysis of descriptive statistics and analysis of inferential statistics using t-test. Based on the analysis of descriptive statistics, it can be concluded that the average score of students' mathematics learning after taught using problem solving approach was similar to the average results of students' mathematics learning after taught using realistic mathematics education (RME) approach, which are both at the high category. In addition, It can also be concluded that; (1) there was no difference in the results of students' mathematics learning taught using realistic mathematics education (RME) approach and students who taught using problem solving approach, (2) quality of learning achievement of students who received RME approach and problem solving approach learning was same, which was at the high category.
The Practicality of Statistical Physics Handout Based on KKNI and the Constructivist Approach
NASA Astrophysics Data System (ADS)
Sari, S. Y.; Afrizon, R.
2018-04-01
Statistical physics lecture shows that: 1) the performance of lecturers, social climate, students’ competence and soft skills needed at work are in enough category, 2) students feel difficulties in following the lectures of statistical physics because it is abstract, 3) 40.72% of students needs more understanding in the form of repetition, practice questions and structured tasks, and 4) the depth of statistical physics material needs to be improved gradually and structured. This indicates that learning materials in accordance of The Indonesian National Qualification Framework or Kerangka Kualifikasi Nasional Indonesia (KKNI) with the appropriate learning approach are needed to help lecturers and students in lectures. The author has designed statistical physics handouts which have very valid criteria (90.89%) according to expert judgment. In addition, the practical level of handouts designed also needs to be considered in order to be easy to use, interesting and efficient in lectures. The purpose of this research is to know the practical level of statistical physics handout based on KKNI and a constructivist approach. This research is a part of research and development with 4-D model developed by Thiagarajan. This research activity has reached part of development test at Development stage. Data collection took place by using a questionnaire distributed to lecturers and students. Data analysis using descriptive data analysis techniques in the form of percentage. The analysis of the questionnaire shows that the handout of statistical physics has very practical criteria. The conclusion of this study is statistical physics handouts based on the KKNI and constructivist approach have been practically used in lectures.
The effects of hands-on-science instruction on the science achievement of middle school students
NASA Astrophysics Data System (ADS)
Wiggins, Felita
Student achievement in the Twenty First Century demands a new rigor in student science knowledge, since advances in science and technology require students to think and act like scientists. As a result, students must acquire proficient levels of knowledge and skills to support a knowledge base that is expanding exponentially with new scientific advances. This study examined the effects of hands-on-science instruction on the science achievement of middle school students. More specifically, this study was concerned with the influence of hands-on science instruction versus traditional science instruction on the science test scores of middle school students. The subjects in this study were one hundred and twenty sixth-grade students in six classes. Instruction involved lecture/discussion and hands-on activities carried out for a three week period. Specifically, the study ascertained the influence of the variables gender, ethnicity, and socioeconomic status on the science test scores of middle school students. Additionally, this study assessed the effect of the variables gender, ethnicity, and socioeconomic status on the attitudes of sixth grade students toward science. The two instruments used to collect data for this study were the Prentice Hall unit ecosystem test and the Scientific Work Experience Programs for Teachers Study (SWEPT) student's attitude survey. Moreover, the data for the study was treated using the One-Way Analysis of Covariance and the One-Way Analysis of Variance. The following findings were made based on the results: (1) A statistically significant difference existed in the science performance of middle school students exposed to hands-on science instruction. These students had significantly higher scores than the science performance of middle school students exposed to traditional instruction. (2) A statistically significant difference did not exist between the science scores of male and female middle school students. (3) A statistically significant difference did not exist between the science scores of African American and non-African American middle school students. (4) A statistically significant difference existed in the socioeconomic status of students who were not provided with assisted lunches. Students with unassisted lunches had significantly higher science scores than those middle school students who were provided with assisted lunches. (5) A statistically significant difference was not found in the attitude scores of middle school students who were exposed to hands-on or traditional science instruction. (6) A statistically significant difference was not found in the observed attitude scores of middle school students who were exposed to either hands-on or traditional science instruction by their socioeconomic status. (7) A statistically significant difference was not found in the observed attitude scores of male and female students. (8) A statistically significant difference was not found in the observed attitude scores of African American and non African American students.
Using Quality Management Tools to Enhance Feedback from Student Evaluations
ERIC Educational Resources Information Center
Jensen, John B.; Artz, Nancy
2005-01-01
Statistical tools found in the service quality assessment literature--the "T"[superscript 2] statistic combined with factor analysis--can enhance the feedback instructors receive from student ratings. "T"[superscript 2] examines variability across multiple sets of ratings to isolate individual respondents with aberrant response…
ERIC Educational Resources Information Center
Tran, Le Huu Nghia
2017-01-01
This article reports a study that investigated student engagement and inhibitors of their engagement with developing employability skills via extra-curricular activities in Vietnamese universities. Content analysis of 18 interviews with students and statistical analysis of 423 students' responses to a paper-based survey showed that despite a…
Analysis of Coastal Dunes: A Remote Sensing and Statistical Approach.
ERIC Educational Resources Information Center
Jones, J. Richard
1985-01-01
Remote sensing analysis and statistical methods were used to analyze the coastal dunes of Plum Island, Massachusetts. The research methodology used provides an example of a student project for remote sensing, geomorphology, or spatial analysis courses at the university level. (RM)
World Population: Facts in Focus. World Population Data Sheet Workbook. Population Learning Series.
ERIC Educational Resources Information Center
Crews, Kimberly A.
This workbook teaches population analysis using world population statistics. To complete the four student activity sheets, the students refer to the included "1988 World Population Data Sheet" which lists nations' statistical data that includes population totals, projected population, birth and death rates, fertility levels, and the…
Engaging Students in Survey Research Projects across Research Methods and Statistics Courses
ERIC Educational Resources Information Center
Lovekamp, William E.; Soboroff, Shane D.; Gillespie, Michael D.
2017-01-01
One innovative way to help students make sense of survey research has been to create a multifaceted, collaborative assignment that promotes critical thinking, comparative analysis, self-reflection, and statistical literacy. We use a short questionnaire adapted from the Higher Education Research Institute's Cooperative Institutional Research…
The Heuristics of Statistical Argumentation: Scaffolding at the Postsecondary Level
ERIC Educational Resources Information Center
Pardue, Teneal Messer
2017-01-01
Language plays a key role in statistics and, by extension, in statistics education. Enculturating students into the practice of statistics requires preparing them to communicate results of data analysis. Statistical argumentation is one way of providing structure to facilitate discourse in the statistics classroom. In this study, a teaching…
Carmichael, Mary C.; St. Clair, Candace; Edwards, Andrea M.; Barrett, Peter; McFerrin, Harris; Davenport, Ian; Awad, Mohamed; Kundu, Anup; Ireland, Shubha Kale
2016-01-01
Xavier University of Louisiana leads the nation in awarding BS degrees in the biological sciences to African-American students. In this multiyear study with ∼5500 participants, data-driven interventions were adopted to improve student academic performance in a freshman-level general biology course. The three hour-long exams were common and administered concurrently to all students. New exam questions were developed using Bloom’s taxonomy, and exam results were analyzed statistically with validated assessment tools. All but the comprehensive final exam were returned to students for self-evaluation and remediation. Among other approaches, course rigor was monitored by using an identical set of 60 questions on the final exam across 10 semesters. Analysis of the identical sets of 60 final exam questions revealed that overall averages increased from 72.9% (2010) to 83.5% (2015). Regression analysis demonstrated a statistically significant correlation between high-risk students and their averages on the 60 questions. Additional analysis demonstrated statistically significant improvements for at least one letter grade from midterm to final and a 20% increase in the course pass rates over time, also for the high-risk population. These results support the hypothesis that our data-driven interventions and assessment techniques are successful in improving student retention, particularly for our academically at-risk students. PMID:27543637
The effects of academic grouping on student performance in science
NASA Astrophysics Data System (ADS)
Scoggins, Sally Smykla
The current action research study explored how student placement in heterogeneous or homogeneous classes in seventh-grade science affected students' eighth-grade Science State of Texas Assessment of Academic Readiness (STAAR) scores, and how ability grouping affected students' scores based on race and socioeconomic status. The population included all eighth-grade students in the target district who took the regular eighth-grade science STAAR over four academic school years. The researcher ran three statistical tests: a t-test for independent samples, a one-way between subjects analysis of variance (ANOVA) and a two-way between subjects ANOVA. The results showed no statistically significant difference between eighth-grade Pre-AP students from seventh-grade Pre-AP classes and eighth-grade Pre-AP students from heterogeneous seventh-grade classes and no statistically significant difference between Pre-AP students' scores based on socioeconomic status. There was no statistically significant interaction between socioeconomic status and the seventh-grade science classes. The scores between regular eighth-grade students who were in heterogeneous seventh-grade classes were statistically significantly higher than the scores of regular eighth-grade students who were in regular seventh-grade classes. The results also revealed that the scores of students who were White were statistically significantly higher than the scores of students who were Black and Hispanic. Black and Hispanic scores did not differ significantly. Further results indicated that the STAAR Level II and Level III scores were statistically significantly higher for the Pre-AP eighth-grade students who were in heterogeneous seventh-grade classes than the STAAR Level II and Level III scores of Pre-AP eighth-grade students who were in Pre-AP seventh-grade classes.
Performance in College Chemistry: a Statistical Comparison Using Gender and Jungian Personality Type
NASA Astrophysics Data System (ADS)
Greene, Susan V.; Wheeler, Henry R.; Riley, Wayne D.
This study sorted college introductory chemistry students by gender and Jungian personality type. It recognized differences from the general population distribution and statistically compared the students' grades with their Jungian personality types. Data from 577 female students indicated that ESFP (extroverted, sensory, feeling, perceiving) and ENFP (extroverted, intuitive, feeling, perceiving) profiles performed poorly at statistically significant levels when compared with the distribution of females enrolled in introductory chemistry. The comparable analysis using data from 422 male students indicated that the poorly performing male profiles were ISTP (introverted, sensory, thinking, perceiving) and ESTP (extroverted, sensory, thinking, perceiving). ESTJ (extroverted, sensory, thinking, judging) female students withdrew from the course at a statistically significant level. For both genders, INTJ (introverted, intuitive, thinking, judging) students were the best performers. By examining the documented characteristics of Jungian profiles that correspond with poorly performing students in chemistry, one may more effectively assist the learning process and the retention of these individuals in the fields of natural science, engineering, and technology.
StatsCasts: screencasts for complementing lectures in statistics classes
NASA Astrophysics Data System (ADS)
Dunn, Peter K.; McDonald, Christine; Loch, Birgit
2015-05-01
Students who are studying introductory statistics units but are enrolled in non-statistics majors often struggle with the content, and do not stay engaged. Support structures are in place at many Australian universities to help these students. Most of these are face-to-face support centres that the students can visit during opening hours. To provide additional assistance to these students any time, and from anywhere, online media are increasingly used by students - either provided by support centres, or sought independently by students. Little research has been undertaken on the effectiveness of such resources to support student learning. This paper investigates whether students will embrace StatsCasts - short screen-capture videos on key statistical topics that students have struggled with in the past, with narrator explanation provided by the lecturer - as part of their learning strategy and if they will actively engage with the videos. Students enrolled in a large first-year statistics class at an Australian university who had been provided with StatsCasts responded to a survey at the end of the semester. Volunteering students also participated in a focus group to probe deeper into students' perceptions of and motivations for watching the videos. Analysis of the data shows that students do actively engage with the StatsCasts and they appear to become an important component of their study and revision strategy.
ERIC Educational Resources Information Center
Hardy, Melissa
2005-01-01
This article presents a response to Timothy Patrick Moran's article "The Sociology of Teaching Graduate Statistics." In his essay, Moran argues that exciting developments in techniques of quantitative analysis are currently coupled with a much less exciting formulaic approach to teaching sociology graduate students about quantitative analysis. The…
A Realistic Experimental Design and Statistical Analysis Project
ERIC Educational Resources Information Center
Muske, Kenneth R.; Myers, John A.
2007-01-01
A realistic applied chemical engineering experimental design and statistical analysis project is documented in this article. This project has been implemented as part of the professional development and applied statistics courses at Villanova University over the past five years. The novel aspects of this project are that the students are given a…
ERIC Educational Resources Information Center
Choy, Susan P.; Geis, Sonya; Carroll, C. Dennis
This study used data from the Baccalaureate and Beyond (B&B) and Beginning Postsecondary Student (BPS) studies to examine: the early labor force experiences of college students who either graduated or dropped out; student borrowing for postsecondary education; and student loan debt burden and repayment status. The B&B group (n=11,000) was…
Emotional and cognitive effects of peer tutoring among secondary school mathematics students
NASA Astrophysics Data System (ADS)
Alegre Ansuategui, Francisco José; Moliner Miravet, Lidón
2017-11-01
This paper describes an experience of same-age peer tutoring conducted with 19 eighth-grade mathematics students in a secondary school in Castellon de la Plana (Spain). Three constructs were analysed before and after launching the program: academic performance, mathematics self-concept and attitude of solidarity. Students' perceptions of the method were also analysed. The quantitative data was gathered by means of a mathematics self-concept questionnaire, an attitude of solidarity questionnaire and the students' numerical ratings. A statistical analysis was performed using Student's t-test. The qualitative information was gathered by means of discussion groups and a field diary. This information was analysed using descriptive analysis and by categorizing the information. Results show statistically significant improvements in all the variables and the positive assessment of the experience and the interactions that took place between the students.
ERIC Educational Resources Information Center
Wagler, Amy; Wagler, Ron
2014-01-01
Every high school graduate should be able to use data analysis and statistical reasoning to draw conclusions about the world. Two core statistical concepts for students to understand are the role of variability in measures and evaluating the effect of a variable. In the activity presented in this article, students investigate a scientific question…
ERIC Educational Resources Information Center
Subramaniam, Maithreyi; Hanafi, Jaffri; Putih, Abu Talib
2016-01-01
This study adopted 30 first year graphic design students' artwork, with critical analysis using Feldman's model of art criticism. Data were analyzed quantitatively; descriptive statistical techniques were employed. The scores were viewed in the form of mean score and frequencies to determine students' performances in their critical ability.…
Computers and Student Learning: Interpreting the Multivariate Analysis of PISA 2000
ERIC Educational Resources Information Center
Bielefeldt, Talbot
2005-01-01
In November 2004, economists Thomas Fuchs and Ludger Woessmann published a statistical analysis of the relationship between technology and student achievement using year 2000 data from the Programme for International Student Assessment (PISA). The 2000 PISA was the first in a series of triennial assessments of 15-year-olds conducted by the…
Immediate Feedback Assessment Technique in a Chemistry Classroom
NASA Astrophysics Data System (ADS)
Taylor, Kate R.
The Immediate Feedback Assessment Technique, or IFAT, is a new testing system that turns a student's traditional multiple-choice testing into a chance for hands-on learning; and provides teachers with an opportunity to obtain more information about a student's knowledge during testing. In the current study we wanted to know if: When students are given the second-chance afforded by the IFAT system, are they guessing or using prior knowledge when making their second chance choice. Additionally, while there has been some adaptation of this testing system in non-science disciplines, we wanted to study if the IFAT-system would be well- received among faculty in the sciences, more specifically chemistry faculty. By comparing the students rate of success on second-chance afforded by the IFAT-system versus the statistical likelihood of guessing correctly, statistical analysis was used to determine if we observed enough students earning the second-chance points to reject the likelihood that students were randomly guessing. Our data analysis revealed that is statistically highly unlikely that students were only guessing when the IFAT system was utilized. (It is important to note that while we can find that students are getting the answer correct at a much higher rate than random guessing we can never truly know if every student is using thought or not.).
Introductory Statistics Students' Conceptual Understanding of Study Design and Conclusions
NASA Astrophysics Data System (ADS)
Fry, Elizabeth Brondos
Recommended learning goals for students in introductory statistics courses include the ability to recognize and explain the key role of randomness in designing studies and in drawing conclusions from those studies involving generalizations to a population or causal claims (GAISE College Report ASA Revision Committee, 2016). The purpose of this study was to explore introductory statistics students' understanding of the distinct roles that random sampling and random assignment play in study design and the conclusions that can be made from each. A study design unit lasting two and a half weeks was designed and implemented in four sections of an undergraduate introductory statistics course based on modeling and simulation. The research question that this study attempted to answer is: How does introductory statistics students' conceptual understanding of study design and conclusions (in particular, unbiased estimation and establishing causation) change after participating in a learning intervention designed to promote conceptual change in these areas? In order to answer this research question, a forced-choice assessment called the Inferences from Design Assessment (IDEA) was developed as a pretest and posttest, along with two open-ended assignments, a group quiz and a lab assignment. Quantitative analysis of IDEA results and qualitative analysis of the group quiz and lab assignment revealed that overall, students' mastery of study design concepts significantly increased after the unit, and the great majority of students successfully made the appropriate connections between random sampling and generalization, and between random assignment and causal claims. However, a small, but noticeable portion of students continued to demonstrate misunderstandings, such as confusion between random sampling and random assignment.
Nakonieczna-Rudnicka, Marta; Bachanek, Teresa; Strycharz-Dudziak, Małgorzata; Kobyłecka, Elzbieta
2010-01-01
Among several etiologic factors for dental caries and periodontal diseases we can find dental plaque that forms on the teeth surfaces and prosthetic appliances. Elimination of dental plaque by proper oral hygiene procedures is crucial in caries and periodontal disease prevention. The aim of the study was evaluation of tobacco smoking prevalence among dental students of the Medical University of Lublin and the comparative analysis of oral hygiene habits among smoking and nonsmoking students. A questionnaire survey was carried out among 112 students of the Medical University of Lublin during the second, third, fourth and fifth year of their studies. The students were 20-28 years of age. The questions concerned cigarettes smoking habit and the ways of maintaining oral hygiene. Respondents were divided into smoking and non-smoking group. Statistical analysis was carried out. Obtained results were sent to statistical analysis. Cigarette smoking was reported by 16.67% of surveyed students. No significant differences between smoking and non-smoking students were stated in frequency of brushing, changing the toothbrush, density of toothbrush filaments, using manual and power toothbrush, using whitening toothpastes and frequency of using dental floss and toothpicks. Statistically significant difference was noted in gum chewing habit--smoking students chewed the gum more frequently (83.33%) than non-smoking students (40%). Significant differences occurred also in frequency of professional removal of dental deposits. Calculus removal performed twice a year was reported by 50% of smoking students, comparing with 17.8% of nonsmoking students. 37.78% of nonsmoking students declared professional teeth cleaning performed more often than twice a year comparing with 11.11% of respondents from the smokers group (p < 0.05).
ERIC Educational Resources Information Center
Hatami, Gissou; Motamed, Niloofar; Ashrafzadeh, Mahshid
2010-01-01
Validity and reliability of Persian adaptation of MSLSS in the 12-18 years, middle and high school students (430 students in grades 6-12 in Bushehr port, Iran) using confirmatory factor analysis by means of LISREL statistical package were checked. Internal consistency reliability estimates (Cronbach's coefficient [alpha]) were all above the…
Teaching Students to Use Summary Statistics and Graphics to Clean and Analyze Data
ERIC Educational Resources Information Center
Holcomb, John; Spalsbury, Angela
2005-01-01
Textbooks and websites today abound with real data. One neglected issue is that statistical investigations often require a good deal of "cleaning" to ready data for analysis. The purpose of this dataset and exercise is to teach students to use exploratory tools to identify erroneous observations. This article discusses the merits of such…
ERIC Educational Resources Information Center
Greer, Wil
2013-01-01
This study identified the variables associated with data-driven instruction (DDI) that are perceived to best predict student achievement. Of the DDI variables discussed in the literature, 51 of them had a sufficient enough research base to warrant statistical analysis. Of them, 26 were statistically significant. Multiple regression and an…
An Automated Statistical Process Control Study of Inline Mixing Using Spectrophotometric Detection
ERIC Educational Resources Information Center
Dickey, Michael D.; Stewart, Michael D.; Willson, C. Grant
2006-01-01
An experiment is described, which is designed for a junior-level chemical engineering "fundamentals of measurements and data analysis" course, where students are introduced to the concept of statistical process control (SPC) through a simple inline mixing experiment. The students learn how to create and analyze control charts in an effort to…
ERIC Educational Resources Information Center
Vaessen, Bram E.; van den Beemt, Antoine; van de Watering, Gerard; van Meeuwen, Ludo W.; Lemmens, Lex; den Brok, Perry
2017-01-01
This pilot study measures university students' perceptions of graded frequent assessments in an obligatory statistics course using a novel questionnaire. Relations between perceptions of frequent assessments, intrinsic motivation and grades were also investigated. A factor analysis of the questionnaire revealed four factors, which were labelled…
The Effect of Using Case Studies in Business Statistics
ERIC Educational Resources Information Center
Pariseau, Susan E.; Kezim, Boualem
2007-01-01
The authors evaluated the effect on learning of using case studies in business statistics courses. The authors divided students into 3 groups: a control group, a group that completed 1 case study, and a group that completed 3 case studies. Results evidenced that, on average, students whom the authors required to complete a case analysis received…
Applying Statistics in the Undergraduate Chemistry Laboratory: Experiments with Food Dyes.
ERIC Educational Resources Information Center
Thomasson, Kathryn; Lofthus-Merschman, Sheila; Humbert, Michelle; Kulevsky, Norman
1998-01-01
Describes several experiments to teach different aspects of the statistical analysis of data using household substances and a simple analysis technique. Each experiment can be performed in three hours. Students learn about treatment of spurious data, application of a pooled variance, linear least-squares fitting, and simultaneous analysis of dyes…
NASA Astrophysics Data System (ADS)
Kimball, Jorja; Cole, Bryan; Hobson, Margaret; Watson, Karan; Stanley, Christine
This paper reports findings on gender that were part of a larger study reviewing time to completion of course work that includes the first two semesters of calculus, chemistry, and physics, which are often considered the stumbling points or "barrier courses" to an engineering baccalaureate degree. Texas A&M University terms these courses core body of knowledge (CBK), and statistical analysis was conducted on two cohorts of first-year enrolling engineering students at the institution. Findings indicate that gender is statistically significantly related to completion of CBK with female engineering students completing required courses faster than males at the .01 level (p = 0.008). Statistical significance for gender and ethnicity was found between white male and white female students at the .01 level (p = 0.008). Descriptive analysis indicated that of the five majors studied (chemical, civil, computer, electrical, and mechanical engineering), women completed CBK faster than men, and African American and Hispanic women completed CBK faster than males of the same ethnicity.
ERIC Educational Resources Information Center
Trumpower, David L.
2015-01-01
Making inferences about population differences based on samples of data, that is, performing intuitive analysis of variance (IANOVA), is common in everyday life. However, the intuitive reasoning of individuals when making such inferences (even following statistics instruction), often differs from the normative logic of formal statistics. The…
ERIC Educational Resources Information Center
Mascaró, Maite; Sacristán, Ana Isabel; Rufino, Marta M.
2016-01-01
For the past 4 years, we have been involved in a project that aims to enhance the teaching and learning of experimental analysis and statistics, of environmental and biological sciences students, through computational programming activities (using R code). In this project, through an iterative design, we have developed sequences of R-code-based…
Bayesian Statistics for Biological Data: Pedigree Analysis
ERIC Educational Resources Information Center
Stanfield, William D.; Carlton, Matthew A.
2004-01-01
The use of Bayes' formula is applied to the biological problem of pedigree analysis to show that the Bayes' formula and non-Bayesian or "classical" methods of probability calculation give different answers. First year college students of biology can be introduced to the Bayesian statistics.
NASA Astrophysics Data System (ADS)
Powell, Mary Cynthia Barton
Podcasts covering essential first-semester general chemistry laboratory techniques and central concepts that aid in experimental design or data processing were prepared and made available for students to access on an as-needed basis on iPhones→ or iPod touches→. Research focused in three areas: the extent of podcast usage, the numbers and types of interactions between instructors and research teams, and student performance on graded assignments. Data analysis indicates that the podcast treatment research teams accessed a podcast 2.86 times on average during each week that podcasts were available. Comparison of interaction data for the lecture treatment research teams and podcast treatment research teams reveals that interactions with instructors were statistically significantly fewer for teams that had podcast access rather than a pre-laboratory lecture. The implication of the results is that student research teams were able to gather laboratory information more effectively when it was presented in an on-demand podcast format. Finally, statistical analysis of data on student performance on graded assignments indicates no significant differences between outcome measures for the treatment groups when compared as cohorts. The only statistically significant difference is between students judged to be highly motivated; for this sub-group the students in the podcast treatment group earned a course average that was statistically significantly higher than those in the lecture treatment group. This research study provides some of the first data collected on the effectiveness of podcasts delivered as needed in a first-semester general chemistry laboratory setting.
Regression Analysis: Instructional Resource for Cost/Managerial Accounting
ERIC Educational Resources Information Center
Stout, David E.
2015-01-01
This paper describes a classroom-tested instructional resource, grounded in principles of active learning and a constructivism, that embraces two primary objectives: "demystify" for accounting students technical material from statistics regarding ordinary least-squares (OLS) regression analysis--material that students may find obscure or…
Implementation of the medical research curriculum in graduate medical school.
Park, Kwi Hwa; Kim, Tae-Hee; Chung, Wook-Jin
2011-06-01
The purpose of this study was to analyze the effect of the medical research curriculum on the students' satisfaction and the research self-efficacy. The curriculum was implemented to 79 graduate medical school students who entered in 2007 and 2008. This curriculum is implemented through 3 years consisting of 5 different sub-courses: Research design, Research ethics, Medical statistics, Writing medical paper, and Presentation. The effect of this program was measured with 2 self-administered surveys to students: the course satisfaction survey and the self-efficacy inventories. The Research Self-Efficacy Scale consisted of 18 items from 4 categories: Research design, Research ethics, Data analysis, and Result presentation. The descriptive statistics, paired t-test, and analysis of covariance (ANCOVA) were implemented. The average point of satisfaction of the course was 2.74 out of 4, which told us that students generally satisfied with the course. The frequencies of tutoring for research course were 2 or 3 times on average and each session of tutorial lasted 1.5 to 2 hours. The research self-efficacy in three categories (Research design, Research ethics, and Result presentation) increased significantly (p<0.1). The self-efficacy of the male students was higher than females' one. The self-efficacy was not significantly different by the experience of research paper writing at undergraduate level. The curriculum showed positive results in cultivating research self-efficacy of students. There is a need for improvement of the class of Statistical analysis as students reported that it was difficult.
ERIC Educational Resources Information Center
Glancy, Aran W.; Moore, Tamara J.; Guzey, Selcen; Smith, Karl A.
2017-01-01
An understanding of statistics and skills in data analysis are becoming more and more essential, yet research consistently shows that students struggle with these concepts at all levels. This case study documents some of the struggles four groups of fifth-grade students encounter as they collect, organize, and interpret data and then ultimately…
Stanisavljevic, Dejana; Trajkovic, Goran; Marinkovic, Jelena; Bukumiric, Zoran; Cirkovic, Andja; Milic, Natasa
2014-01-01
Medical statistics has become important and relevant for future doctors, enabling them to practice evidence based medicine. Recent studies report that students' attitudes towards statistics play an important role in their statistics achievements. The aim of the study was to test the psychometric properties of the Serbian version of the Survey of Attitudes Towards Statistics (SATS) in order to acquire a valid instrument to measure attitudes inside the Serbian educational context. The validation study was performed on a cohort of 417 medical students who were enrolled in an obligatory introductory statistics course. The SATS adaptation was based on an internationally accepted methodology for translation and cultural adaptation. Psychometric properties of the Serbian version of the SATS were analyzed through the examination of factorial structure and internal consistency. Most medical students held positive attitudes towards statistics. The average total SATS score was above neutral (4.3±0.8), and varied from 1.9 to 6.2. Confirmatory factor analysis validated the six-factor structure of the questionnaire (Affect, Cognitive Competence, Value, Difficulty, Interest and Effort). Values for fit indices TLI (0.940) and CFI (0.961) were above the cut-off of ≥0.90. The RMSEA value of 0.064 (0.051-0.078) was below the suggested value of ≤0.08. Cronbach's alpha of the entire scale was 0.90, indicating scale reliability. In a multivariate regression model, self-rating of ability in mathematics and current grade point average were significantly associated with the total SATS score after adjusting for age and gender. Present study provided the evidence for the appropriate metric properties of the Serbian version of SATS. Confirmatory factor analysis validated the six-factor structure of the scale. The SATS might be reliable and a valid instrument for identifying medical students' attitudes towards statistics in the Serbian educational context.
Scammell, Janet; Tait, Desiree; White, Sara; Tait, Michael
2017-10-01
This study uses a lifeworld perspective to explore beginning students' values about nursing. Internationally, increasing care demand, a focus on targets and evidence of dehumanized care cultures have resulted in scrutiny of practitioner values. In England, selection policy dictates that prospective nursing students demonstrate person-centred values and care work experience. However, there is limited recent evidence exploring values at programme commencement or the effect of care experience on values. Mixed method study. A total of 161 undergraduate nursing students were recruited in 2013 from one English university. Thematic content analysis and frequency distribution to reveal descriptive statistics were used. Statistical analysis indicated that most of the values identified in student responses were not significantly affected by paid care experience. Five themes were identified: How I want care to be; Making a difference; The value of learning; Perceived characteristics of a nurse; and Respecting our humanity. Students readily drew on their experience of living to identify person-centred values about nursing.
A Fishy Problem for Advanced Students
ERIC Educational Resources Information Center
Patterson, Richard A.
1977-01-01
While developing a research course for gifted high school students, improvements were made in a local pond. Students worked for a semester learning research techniques, statistical analysis, and limnology. At the end of the course, the three students produced a joint scientific paper detailing their study of the pond. (MA)
ESL Student Bias in Instructional Evaluation.
ERIC Educational Resources Information Center
Wennerstrom, Ann K.; Heiser, Patty
1992-01-01
Reports on a statistical analysis of English-as-a-Second-Language (ESL) student evaluations of teachers in two large programs. Results indicated a systematic bias occurs in ESL student evaluations, raising issues of fairness in the use of student evaluations of ESL teachers for purposes of personnel decisions. (21 references) (GLR)
Non-Cognitive Factor Relationships to Hybrid Doctoral Student Self-Efficacy
ERIC Educational Resources Information Center
Egbert, Jessica Dalby; Gomez, Frank; Li, Wenling; Pennington, Sandra L.
2015-01-01
Statistical analysis of data gathered from 139 healthcare doctoral students revealed three key findings regarding non-cognitive factor relationships to hybrid doctoral student self-efficacy between online (web-based) and on-campus course components. First, student experiences significantly differed between online and on-campus course components…
Resilience Among Students at the Basic Enlisted Submarine School
2016-12-01
reported resilience. The Hayes’ Macro in the Statistical Package for the Social Sciences (SSPS) was used to uncover factors relevant to mediation analysis... Statistical Package for the Social Sciences (SPSS) was used to uncover factors relevant to mediation analysis. Findings suggest that the encouragement of...to Stressful Experiences Scale RTC Recruit Training Command SPSS Statistical Package for the Social Sciences SS Social Support SWB Subjective Well
NASA Astrophysics Data System (ADS)
Voegel, Phillip D.; Quashnock, Kathryn A.; Heil, Katrina M.
2004-05-01
The Student-to-Student Chemistry Initiative is an outreach program started in the fall of 2001 at Midwestern State University (MSU). The oncampus program trains high school science students to perform a series of chemistry demonstrations and subsequently provides kits containing necessary supplies and reagents for the high school students to perform demonstration programs at elementary schools. The program focuses on improving student perception of science. The program's impact on high school student perception is evaluated through statistical analysis of paired preparticipation and postparticipation surveys. The surveys focus on four areas of student perception: general attitude toward science, interest in careers in science, science awareness, and interest in attending MSU for postsecondary education. Increased scores were observed in all evaluation areas including a statistically significant increase in science awareness following participation.
Using Markov Chain Analyses in Counselor Education Research
ERIC Educational Resources Information Center
Duys, David K.; Headrick, Todd C.
2004-01-01
This study examined the efficacy of an infrequently used statistical analysis in counselor education research. A Markov chain analysis was used to examine hypothesized differences between students' use of counseling skills in an introductory course. Thirty graduate students participated in the study. Independent raters identified the microskills…
ERIC Educational Resources Information Center
Meletiou-Mavrotheris, Maria
2004-01-01
While technology has become an integral part of introductory statistics courses, the programs typically employed are professional packages designed primarily for data analysis rather than for learning. Findings from several studies suggest that use of such software in the introductory statistics classroom may not be very effective in helping…
Applied Statistics: From Bivariate through Multivariate Techniques [with CD-ROM
ERIC Educational Resources Information Center
Warner, Rebecca M.
2007-01-01
This book provides a clear introduction to widely used topics in bivariate and multivariate statistics, including multiple regression, discriminant analysis, MANOVA, factor analysis, and binary logistic regression. The approach is applied and does not require formal mathematics; equations are accompanied by verbal explanations. Students are asked…
Statistical Analysis Experiment for Freshman Chemistry Lab.
ERIC Educational Resources Information Center
Salzsieder, John C.
1995-01-01
Describes a laboratory experiment dissolving zinc from galvanized nails in which data can be gathered very quickly for statistical analysis. The data have sufficient significant figures and the experiment yields a nice distribution of random errors. Freshman students can gain an appreciation of the relationships between random error, number of…
ERIC Educational Resources Information Center
Braun, W. John
2012-01-01
The Analysis of Variance is often taught in introductory statistics courses, but it is not clear that students really understand the method. This is because the derivation of the test statistic and p-value requires a relatively sophisticated mathematical background which may not be well-remembered or understood. Thus, the essential concept behind…
The Social Profile of Students in Basic General Education in Ecuador: A Data Analysis
ERIC Educational Resources Information Center
Buri, Olga Elizabeth Minchala; Stefos, Efstathios
2017-01-01
The objective of this study is to examine the social profile of students who are enrolled in Basic General Education in Ecuador. Both a descriptive and multidimensional statistical analysis was carried out based on the data provided by the National Survey of Employment, Unemployment and Underemployment in 2015. The descriptive analysis shows the…
ERIC Educational Resources Information Center
Easter, David C.
2010-01-01
For students entering Chemistry Two following a Chemistry One course, an assessment exam was given and the results were evaluated in combination with other variables to develop a predictive model that forecasts student achievement in the course. Variables considered in the analysis included student major, GPA, classification (student standing:…
The House System: Evaluating Its Role in the Experience of Business Students
ERIC Educational Resources Information Center
Antoniadou, Marilena
2017-01-01
This paper presents a case study of students' experiences of the House system, an innovative scheme introduced for business students, aiming to enhance student experience. The findings are based on a survey of 350 students and 4 group interviews. Analysis of the findings, both statistical and qualitative, indicated perceived clear benefits for the…
ERIC Educational Resources Information Center
Chen, Greg; Weikart, Lynne A.
2008-01-01
This study develops and tests a school disorder and student achievement model based upon the school climate framework. The model was fitted to 212 New York City middle schools using the Structural Equations Modeling Analysis method. The analysis shows that the model fits the data well based upon test statistics and goodness of fit indices. The…
Evaluation of Teacher Candidates Writing Skills
ERIC Educational Resources Information Center
Bagci Ayranci, Bilge; Mete, Filiz
2017-01-01
In this study, 200 volunteer students who were in Faculty of Education printed free essay compositions and the compositions were evaluated by descriptive statistics and content analysis. Content analysis is to interpret similar data within specific contexts and themes. The students were free to choose their own writing topic. The reason for this…
Gender Differences in Students' Mathematics Game Playing
ERIC Educational Resources Information Center
Lowrie, Tom; Jorgensen, Robyn
2011-01-01
The investigation monitored the digital game-playing behaviours of 428 primary-aged students (aged 10-12 years). Chi-square analysis revealed that boys tend to spend more time playing digital games than girls while boys and girls play quite different game genres. Subsequent analysis revealed statistically significant gender differences in terms of…
Intuitive Analysis of Variance-- A Formative Assessment Approach
ERIC Educational Resources Information Center
Trumpower, David
2013-01-01
This article describes an assessment activity that can show students how much they intuitively understand about statistics, but also alert them to common misunderstandings. How the activity can be used formatively to help improve students' conceptual understanding of analysis of variance is discussed. (Contains 1 figure and 1 table.)
ERIC Educational Resources Information Center
Martins, Jose Alexandre; Nascimento, Maria Manuel; Estrada, Assumpta
2012-01-01
Teachers' attitudes towards statistics can have a significant effect on their own statistical training, their teaching of statistics, and the future attitudes of their students. The influence of attitudes in teaching statistics in different contexts was previously studied in the work of Estrada et al. (2004, 2010a, 2010b) and Martins et al.…
Emotional Intelligence and ADHD: A Comparative Analysis in Students of Lima Metropolitan Area
ERIC Educational Resources Information Center
Barahona, Luciana M.; Alegre, Alberto A.
2016-01-01
The following study aims to identify statistically significant differences between adolescent students with and without Attention Deficit Disorder and Hyperactivity (ADHD) in emotional intelligence skills. The study sample was composed of 44 students with ADHD diagnosis and 192 students without ADHD; both groups were obtained by an intentional…
ERIC Educational Resources Information Center
Hui, Liu; Min, Yang
2017-01-01
Based on the survey of "undergraduate family and educational background and freshman learning experience," a statistical analysis of Guangzhou University first-year undergraduate students' family backgrounds and participation in student organizational activities found a significant correlation between family background and the degree of…
Manufacturing Dissent: Labor Revitalization, Union Summer and Student Protest
ERIC Educational Resources Information Center
Van Dyke, Nella; Dixon, Marc; Carlon, Helen
2007-01-01
During the late 1990s, college students across the United States mobilized around labor issues. Our research explores whether this explosion of student protest activity was generated, in part, by concerted efforts of the AFL-CIO through its Union Summer college student internship program. A statistical analysis of factors influencing the location…
Primary Student-Teachers' Conceptual Understanding of the Greenhouse Effect: A mixed method study
NASA Astrophysics Data System (ADS)
Ratinen, Ilkka Johannes
2013-04-01
The greenhouse effect is a reasonably complex scientific phenomenon which can be used as a model to examine students' conceptual understanding in science. Primary student-teachers' understanding of global environmental problems, such as climate change and ozone depletion, indicates that they have many misconceptions. The present mixed method study examines Finnish primary student-teachers' understanding of the greenhouse effect based on the results obtained via open-ended and closed-form questionnaires. The open-ended questionnaire considers primary student-teachers' spontaneous ideas about the greenhouse effect depicted by concept maps. The present study also uses statistical analysis to reveal respondents' conceptualization of the greenhouse effect. The concept maps and statistical analysis reveal that the primary student-teachers' factual knowledge and their conceptual understanding of the greenhouse effect are incomplete and even misleading. In the light of the results of the present study, proposals for modifying the instruction of climate change in science, especially in geography, are presented.
Perspectives and realities of teaching statistics at a superior school of business administration
NASA Astrophysics Data System (ADS)
Nunes, Sandra
2016-06-01
This paper aims to describe the reality of the teaching of statistics in a superior school of business administration in Portugal. It is supported in a twenty years of experience teaching several disciplines belonging to the scientific area of Mathematics such as: Statistics and Probability, Data Analysis, Calculus, Algebra and Numerical Analysis. This experience is not limited to school of business administration but also in engineering and health courses and in all these schools there has been a substantial increase of failure in these disciplines. I intend to present the main difficulties that teachers encounter. These difficulties are due to a diversity of problems. A leading cause is undoubtedly the huge heterogeneity of the level of knowledge that students have. The large number of students in each class it is also a massive problem. I must point out that, in my opinion, the introduction of the Bologna process has aggravated this situation. The assumption of reduced classroom hours and an increase in self-study is extremely penalizing for such students. There are many challenges that teachers have to face: How to teach statistics to a class where more than half the students cannot interpret the basic concepts of mathematics? Is the approach of teaching statistics through software beneficial? Should the teaching of statistics be addressed in a more practical way? How can we install a critical thinking in the students, to enable them to use the knowledge acquired to solve problems? How can we deal and prevent the failure that is increasing each year? These are only a few questions that all the teachers need an answer.
Impact of Using History of Mathematics on Students' Mathematics Attitude: A Meta-Analysis Study
ERIC Educational Resources Information Center
Bütüner, Suphi Onder
2015-01-01
The main objective of hereby study is to unearth the big picture, reaching studies about influence of using history of mathematics on attitude of mathematics among students. 6 studies with a total effect size of 14 that comply with coding protocol and comprise statistical values necessary for meta-analysis are combined via meta-analysis method…
ERIC Educational Resources Information Center
Serebryakova, Tat'yana A.; Morozova, Lyudmila B.; Kochneva, Elena M.; Zharova, Darya V.; Kostyleva, Elena A.; Kolarkova, Oxana G.
2016-01-01
Background/Objectives: The objective of the paper is analysis and description of findings of an empiric study on the issue of social and psychological adaptation of first year students to studying in a higher educational institution. Methods/Statistical analysis: Using the methods of theoretical analysis the paper's authors plan and carry out an…
Montague, J R; Frei, J K
1993-04-01
To determine whether significant correlations existed among quantitative and qualitative predictors of students' academic success and quantitative outcomes of such success over a 12-year period in a small university's premedical program. A database was assembled from information on the 199 graduates who earned BS degrees in biology from Barry University's School of Natural and Health Sciences from 1980 through 1991. The quantitative variables were year of BS degree, total score on the Scholastic Aptitude Test (SAT), various measures of undergraduate grade-point averages (GPAs), and total score on the Medical College Admission Test (MCAT); and the qualitative variables were minority (54% of the students) or majority status and transfer (about one-third of the students) or nontransfer status. The statistical methods were multiple analysis of variance and stepwise multiple regression. Statistically significant positive correlations were found among SAT total scores, final GPAs, biology GPAs versus nonbiology GPAs, and MCAT total scores. These correlations held for transfer versus nontransfer students and for minority versus majority students. Over the 12-year period there were significant fluctuations in mean MCAT scores. The students' SAT scores and GPAs proved to be statistically reliable predictors of MCAT scores, but the minority or majority status and the transfer or nontransfer status of the students were statistically insignificant.
ERIC Educational Resources Information Center
Parker, Loran Carleton; Gleichsner, Alyssa M.; Adedokun, Omolola A.; Forney, James
2016-01-01
Transformation of research in all biological fields necessitates the design, analysis and, interpretation of large data sets. Preparing students with the requisite skills in experimental design, statistical analysis, and interpretation, and mathematical reasoning will require both curricular reform and faculty who are willing and able to integrate…
NASA Astrophysics Data System (ADS)
Zelmanowicz, Marc
Purpose The use of technology in the science classroom has been a major part of the initiative toward increasing student attitude and achievement in Science, Technology, Education and Math [STEM] education in the United States. The purpose of this study was to determine the extent to which the use of probeware in a high school science living environment classroom impacts student attitude towards science and/or student achievement on standards-based assessments. This study sought to answer the following quantitative questions with a qualitative component: To what extent does the use of probeware in a high school level living environment course influence student attitudes toward science compared to students who are not using probeware? What is the impact, if any, on student achievement in a living environment course, as measured by New York State Living Environment Regents [NYSLER] exam grades, between students who use probeware and students who do not? Is there a significant difference between the two groups with regard to achieving mastery on the NYSLER exam? Sample The participants in the study were Living Environment students of a suburban high school outside of New York City. Methods The quasiexperimental study examined the effects of the replacement of traditional scientific equipment with probeware on student attitude and achievement in a living environment classroom. Student attitude was measured by the modified Attitude Toward Science Inventory [mATSI] and student achievement was measured by the New York State Living Environment Regents [NSLER] Exam. Descriptive statistics, ANCOVA and hierarchical regression analysis were conducted to answer the research questions in this study. A qualitative component was included to enhance the understanding of the quantitative analysis. Major Findings Through this study, results demonstrated a statistically significant impact of probeware on student attitude, but did not show a statistically significant impact of probeware on student achievement or achievement of mastery; The qualitative component confirmed that probeware positively impact student attitude and achievement. With regards to achievement, the qualitative interviews contradicted the quantitative analysis. Significance Results from this study add to the body of research that probeware can impact student attitude towards science education.
Learning Effects of an International Group Competition Project
ERIC Educational Resources Information Center
Akpinar, Murat; del Campo, Cristina; Eryarsoy, Enes
2015-01-01
This study investigates the effects of collaboration and competition on students' learning performance in a course of business statistics. The collaboration involved a simultaneously organised group competition project with analysis of real-life business problems among students. Students from the following schools participated: JAMK University of…
Chi-Square Statistics, Tests of Hypothesis and Technology.
ERIC Educational Resources Information Center
Rochowicz, John A.
The use of technology such as computers and programmable calculators enables students to find p-values and conduct tests of hypotheses in many different ways. Comprehension and interpretation of a research problem become the focus for statistical analysis. This paper describes how to calculate chisquare statistics and p-values for statistical…
34 CFR Appendix A to Subpart N of... - Sample Default Prevention Plan
Code of Federal Regulations, 2010 CFR
2010-07-01
... relevant default prevention statistics, including a statistical analysis of the borrowers who default on...'s delinquency status by obtaining reports from data managers and FFEL Program lenders. 5. Enhance... academic study. III. Statistics for Measuring Progress 1. The number of students enrolled at your...
The Statistical Interpretation of Classical Thermodynamic Heating and Expansion Processes
ERIC Educational Resources Information Center
Cartier, Stephen F.
2011-01-01
A statistical model has been developed and applied to interpret thermodynamic processes typically presented from the macroscopic, classical perspective. Through this model, students learn and apply the concepts of statistical mechanics, quantum mechanics, and classical thermodynamics in the analysis of the (i) constant volume heating, (ii)…
Relationship between affect and achievement in science and mathematics in Malaysia and Singapore
NASA Astrophysics Data System (ADS)
Thoe Ng, Khar; Fah Lay, Yoon; Areepattamannil, Shaljan; Treagust, David F.; Chandrasegaran, A. L.
2012-11-01
Background : The Trends in International Mathematics and Science Study (TIMSS) assesses the quality of the teaching and learning of science and mathematics among Grades 4 and 8 students across participating countries. Purpose : This study explored the relationship between positive affect towards science and mathematics and achievement in science and mathematics among Malaysian and Singaporean Grade 8 students. Sample : In total, 4466 Malaysia students and 4599 Singaporean students from Grade 8 who participated in TIMSS 2007 were involved in this study. Design and method : Students' achievement scores on eight items in the survey instrument that were reported in TIMSS 2007 were used as the dependent variable in the analysis. Students' scores on four items in the TIMSS 2007 survey instrument pertaining to students' affect towards science and mathematics together with students' gender, language spoken at home and parental education were used as the independent variables. Results : Positive affect towards science and mathematics indicated statistically significant predictive effects on achievement in the two subjects for both Malaysian and Singaporean Grade 8 students. There were statistically significant predictive effects on mathematics achievement for the students' gender, language spoken at home and parental education for both Malaysian and Singaporean students, with R 2 = 0.18 and 0.21, respectively. However, only parental education showed statistically significant predictive effects on science achievement for both countries. For Singapore, language spoken at home also demonstrated statistically significant predictive effects on science achievement, whereas gender did not. For Malaysia, neither gender nor language spoken at home had statistically significant predictive effects on science achievement. Conclusions : It is important for educators to consider implementing self-concept enhancement intervention programmes by incorporating 'affect' components of academic self-concept in order to develop students' talents and promote academic excellence in science and mathematics.
Carmichael, Mary C; St Clair, Candace; Edwards, Andrea M; Barrett, Peter; McFerrin, Harris; Davenport, Ian; Awad, Mohamed; Kundu, Anup; Ireland, Shubha Kale
2016-01-01
Xavier University of Louisiana leads the nation in awarding BS degrees in the biological sciences to African-American students. In this multiyear study with ∼5500 participants, data-driven interventions were adopted to improve student academic performance in a freshman-level general biology course. The three hour-long exams were common and administered concurrently to all students. New exam questions were developed using Bloom's taxonomy, and exam results were analyzed statistically with validated assessment tools. All but the comprehensive final exam were returned to students for self-evaluation and remediation. Among other approaches, course rigor was monitored by using an identical set of 60 questions on the final exam across 10 semesters. Analysis of the identical sets of 60 final exam questions revealed that overall averages increased from 72.9% (2010) to 83.5% (2015). Regression analysis demonstrated a statistically significant correlation between high-risk students and their averages on the 60 questions. Additional analysis demonstrated statistically significant improvements for at least one letter grade from midterm to final and a 20% increase in the course pass rates over time, also for the high-risk population. These results support the hypothesis that our data-driven interventions and assessment techniques are successful in improving student retention, particularly for our academically at-risk students. © 2016 M. C. Carmichael et al. CBE—Life Sciences Education © 2016 The American Society for Cell Biology. This article is distributed by The American Society for Cell Biology under license from the author(s). It is available to the public under an Attribution–Noncommercial–Share Alike 3.0 Unported Creative Commons License (http://creativecommons.org/licenses/by-nc-sa/3.0).
ERIC Educational Resources Information Center
Gökçe, Nazli; Kaya, Erdogan; Aktas, Semra Günay; Kantar, Yeliz Mert
2017-01-01
The number of students in a class is a primary factor affecting the quality of education. Therefore, this study examines the distribution of the number of students per class in rural and urban primary schools in Turkey, and efforts have been made to specify classroom needs. Statistical data was obtained from the Turkish Institute of Statistics and…
Medical School Attrition-Beyond the Statistics A Ten Year Retrospective Study
2013-01-01
Background Medical school attrition is important - securing a place in medical school is difficult and a high attrition rate can affect the academic reputation of a medical school and staff morale. More important, however, are the personal consequences of dropout for the student. The aims of our study were to examine factors associated with attrition over a ten-year period (2001–2011) and to study the personal effects of dropout on individual students. Methods The study included quantitative analysis of completed cohorts and qualitative analysis of ten-year data. Data were collected from individual student files, examination and admission records, exit interviews and staff interviews. Statistical analysis was carried out on five successive completed cohorts. Qualitative data from student files was transcribed and independently analysed by three authors. Data was coded and categorized and key themes were identified. Results Overall attrition rate was 5.7% (45/779) in 6 completed cohorts when students who transferred to other medical courses were excluded. Students from Kuwait and United Arab Emirates had the highest dropout rate (RR = 5.70, 95% Confidence Intervals 2.65 to 12.27;p < 0.0001) compared to Irish and EU students combined. North American students had a higher dropout rate than Irish and EU students; RR = 2.68 (1.09 to 6.58;p = 0.027) but this was not significant when transfers were excluded (RR = 1.32(0.38, 4.62);p = 0.75). Male students were more likely to dropout than females (RR 1.70, .93 to 3.11) but this was not significant (p = 0.079). Absenteeism was documented in 30% of students, academic difficulty in 55.7%, social isolation in 20%, and psychological morbidity in 40% (higher than other studies). Qualitative analysis revealed recurrent themes of isolation, failure, and despair. Student Welfare services were only accessed by one-third of dropout students. Conclusions While dropout is often multifactorial, certain red flag signals may alert us to risk of dropout including non-EU origin, academic struggling, absenteeism, social isolation, depression and leave of absence. Psychological morbidity amongst dropout students is high and Student Welfare services should be actively promoted. Absenteeism should prompt early intervention. Behind every dropout statistic lies a personal story. All medical schools have a duty of care to support students who leave the medical programme. PMID:23363547
Medical school attrition-beyond the statistics a ten year retrospective study.
Maher, Bridget M; Hynes, Helen; Sweeney, Catherine; Khashan, Ali S; O'Rourke, Margaret; Doran, Kieran; Harris, Anne; Flynn, Siun O'
2013-01-31
Medical school attrition is important--securing a place in medical school is difficult and a high attrition rate can affect the academic reputation of a medical school and staff morale. More important, however, are the personal consequences of dropout for the student. The aims of our study were to examine factors associated with attrition over a ten-year period (2001-2011) and to study the personal effects of dropout on individual students. The study included quantitative analysis of completed cohorts and qualitative analysis of ten-year data. Data were collected from individual student files, examination and admission records, exit interviews and staff interviews. Statistical analysis was carried out on five successive completed cohorts. Qualitative data from student files was transcribed and independently analysed by three authors. Data was coded and categorized and key themes were identified. Overall attrition rate was 5.7% (45/779) in 6 completed cohorts when students who transferred to other medical courses were excluded. Students from Kuwait and United Arab Emirates had the highest dropout rate (RR = 5.70, 95% Confidence Intervals 2.65 to 12.27;p < 0.0001) compared to Irish and EU students combined. North American students had a higher dropout rate than Irish and EU students; RR = 2.68 (1.09 to 6.58;p = 0.027) but this was not significant when transfers were excluded (RR = 1.32(0.38, 4.62);p = 0.75). Male students were more likely to dropout than females (RR 1.70, .93 to 3.11) but this was not significant (p = 0.079).Absenteeism was documented in 30% of students, academic difficulty in 55.7%, social isolation in 20%, and psychological morbidity in 40% (higher than other studies). Qualitative analysis revealed recurrent themes of isolation, failure, and despair. Student Welfare services were only accessed by one-third of dropout students. While dropout is often multifactorial, certain red flag signals may alert us to risk of dropout including non-EU origin, academic struggling, absenteeism, social isolation, depression and leave of absence. Psychological morbidity amongst dropout students is high and Student Welfare services should be actively promoted. Absenteeism should prompt early intervention. Behind every dropout statistic lies a personal story. All medical schools have a duty of care to support students who leave the medical programme.
ERIC Educational Resources Information Center
Edge, D. Michael
2011-01-01
This non-experimental study attempted to determine how the different prescribed mathematic tracks offered at a comprehensive technical high school influenced the mathematics performance of low-achieving students on standardized assessments of mathematics achievement. The goal was to provide an analysis of any statistically significant differences…
The Effects of Ability Grouping: A Meta-Analysis of Research Findings.
ERIC Educational Resources Information Center
Noland, Theresa Koontz; Taylor, Bob L.
The study reported in this paper quantitatively integrated the recent research findings on ability grouping in order to generalize about these effects on student achievement and student self-concept. Meta-analysis was used to statistically integrate the empirical data. The relationships among various experimental variables including grade level,…
Grade Trend Analysis for a Credit-Bearing Library Instruction Course
ERIC Educational Resources Information Center
Guo, Shu
2015-01-01
Statistics suggest the prevalence of grade inflation nationwide, and researchers perform many analyses on student grades at both university and college levels. This analysis focuses on a one-credit library instruction course for undergraduate students at a large public university. The studies examine thirty semester GPAs and the percentages of As…
A Meta-Analysis of Writing Instruction for Students in the Elementary Grades
ERIC Educational Resources Information Center
Graham, Steve; McKeown, Debra; Kiuhara, Sharlene; Harris, Karen R.
2012-01-01
In an effort to identify effective instructional practices for teaching writing to elementary grade students, we conducted a meta-analysis of the writing intervention literature, focusing our efforts on true and quasi-experiments. We located 115 documents that included the statistics for computing an effect size (ES). We calculated an average…
ERIC Educational Resources Information Center
Park, Hyeran; Nielsen, Wendy; Woodruff, Earl
2014-01-01
This study examined and compared students' understanding of nature of science (NOS) with 521 Grade 8 Canadian and Korean students using a mixed methods approach. The concepts of NOS were measured using a survey that had both quantitative and qualitative elements. Descriptive statistics and one-way multivariate analysis of variances examined the…
ERIC Educational Resources Information Center
Galbraith, Craig S.; Merrill, Gregory B.; Kline, Doug M.
2012-01-01
In this study we investigate the underlying relational structure between student evaluations of teaching effectiveness (SETEs) and achievement of student learning outcomes in 116 business related courses. Utilizing traditional statistical techniques, a neural network analysis and a Bayesian data reduction and classification algorithm, we find…
Petrovecki, Mladen; Rahelić, Dario; Bilić-Zulle, Lidija; Jelec, Vjekoslav
2003-02-01
To investigate whether and to what extent various parameters, such as individual characteristics, computer habits, situational factors, and pseudoscientific variables, influence Medical Informatics examination grade, and how inadequate statistical analysis can lead to wrong conclusions. The study included a total of 382 second-year undergraduate students at the Rijeka University School of Medicine in the period from 1996/97 to 2000/01 academic year. After passing the Medical Informatics exam, students filled out an anonymous questionnaire about their attitude toward learning medical informatics. They were asked to grade the course organization and curriculum content, and provide their date of birth; sex; study year; high school grades; Medical Informatics examination grade, type, and term; and describe their computer habits. From these data, we determined their zodiac signs and biorhythm. Data were compared by the use of t-test, one-way ANOVA with Tukey's honest significance difference test, and randomized complete block design ANOVA. Out of 21 variables analyzed, only 10 correlated with the average grade. Students taking Medical Informatics examination in the 1998/99 academic year earned lower average grade than any other generation. Significantly higher Medical Informatics exam grade was earned by students who finished a grammar high school; owned and regularly used a computer, Internet, and e-mail (p< or =0.002 for all items); passed an oral exam without taking a written test (p=0.004), or did not repeat the exam (p<0.001). Better high-school students and students with better grades from high-school informatics course also scored significantly better (p=0.032 and p<0.001, respectively). Grade in high-school mathematics, student's sex, and time of year when the examination was taken were not related to the grade, and neither were pseudoscientific parameters, such as student zodiac sign, zodiac sign quality, or biorhythm cycles, except when intentionally inadequate statistics was used for data analysis. Medical Informatics examination grades correlated with general learning capacity and computer habits of students, but showed no relation to other investigated parameters, such as examination term or pseudoscientific parameters. Inadequate statistical analysis can always confirm false conclusions.
An Analysis of High School Students' Performance on Five Integrated Science Process Skills
NASA Astrophysics Data System (ADS)
Beaumont-Walters, Yvonne; Soyibo, Kola
2001-02-01
This study determined Jamaican high school students' level of performance on five integrated science process skills and if there were statistically significant differences in their performance linked to their gender, grade level, school location, school type, student type and socio-economic background (SEB). The 305 subjects comprised 133 males, 172 females, 146 ninth graders, 159 10th graders, 150 traditional and 155 comprehensive high school students, 164 students from the Reform of Secondary Education (ROSE) project and 141 non-ROSE students, 166 urban and 139 rural students and 110 students from a high SEB and 195 from a low SEB. Data were collected with the authors' constructed integrated science process skills test the results indicated that the subjects' mean score was low and unsatisfactory; their performance in decreasing order was: interpreting data, recording data, generalising, formulating hypotheses and identifying variables; there were statistically significant differences in their performance based on their grade level, school type, student type, and SEB in favour of the 10th graders, traditional high school students, ROSE students and students from a high SEB. There was a positive, statistically significant and fairly strong relationship between their performance and school type, but weak relationships among their student type, grade level and SEB and performance.
Turkish Student Teachers' Concerns about Teaching
ERIC Educational Resources Information Center
Boz, Yezdan
2008-01-01
The purpose of this study was to examine the teaching concerns of Turkish student teachers and how these concerns differ among year groups within the teacher education programme. Data were collected from 339 student teachers using the Teacher Concerns Checklist. Analysis of the data, including both descriptive statistics and multivariate analysis…
Using VITA Service Learning Experiences to Teach Hypothesis Testing and P-Value Analysis
ERIC Educational Resources Information Center
Drougas, Anne; Harrington, Steve
2011-01-01
This paper describes a hypothesis testing project designed to capture student interest and stimulate classroom interaction and communication. Using an online survey instrument, the authors collected student demographic information and data regarding university service learning experiences. Introductory statistics students performed a series of…
Experimental Analysis of Cell Function Using Cytoplasmic Streaming
ERIC Educational Resources Information Center
Janssens, Peter; Waldhuber, Megan
2012-01-01
This laboratory exercise investigates the phenomenon of cytoplasmic streaming in the fresh water alga "Nitella". Students use the fungal toxin cytochalasin D, an inhibitor of actin polymerization, to investigate the mechanism of streaming. Students use simple statistical methods to analyze their data. Typical student data are provided. (Contains 3…
Engaging Business Students in Quantitative Skills Development
ERIC Educational Resources Information Center
Cronin, Anthony; Carroll, Paula
2015-01-01
In this paper the complex problems of developing quantitative and analytical skills in undergraduate first year, first semester business students are addressed. An action research project, detailing how first year business students perceive the relevance of data analysis and inferential statistics in light of the economic downturn and the…
AQAK: A Library Anxiety Scale for Undergraduate Students
ERIC Educational Resources Information Center
Anwar, Mumtaz A.; Al-Qallaf, Charlene L.; Al-Kandari, Noriah M.; Al-Ansari, Husain A.
2012-01-01
The library environment has drastically changed since 1992 when Bostick's Library Anxiety Scale was developed. This project aimed to develop a scale specifically for undergraduate students. A three-stage study was conducted, using students of Kuwait University. A variety of statistical measures, including factor analysis, were used to process the…
Tactics of Interventions: Student Mobility and Human Capital Building in Singapore
ERIC Educational Resources Information Center
Koh, Aaron
2012-01-01
Hitherto, research on transnational higher education student mobility tended to narrowly present hard statistics on student mobility, analysing these in terms of "trends" and the implication this has on policy and internationalizing strategies. What is missing from this "big picture" is a close-up analysis of the micropolitics…
Investigation of Millennial Students' Responses to a Shelter-in-Place Experience
ERIC Educational Resources Information Center
Johnson, Thomas C.; Frick, Melodie H.
2016-01-01
This study investigated millennial students' responses to an armed gunman threat and shelter-in-place warnings that occurred on a university campus. Using descriptive statistics and quantitative analysis, several significant differences were found for students' responses for sheltering-in-place and engaging in protective behaviors. Baxter Magolda'…
How to Engage Medical Students in Chronobiology: An Example on Autorhythmometry
ERIC Educational Resources Information Center
Rol de Lama, M. A.; Lozano, J. P.; Ortiz, V.; Sanchez-Vazquez, F. J.; Madrid, J. A.
2005-01-01
This contribution describes a new laboratory experience that improves medical students' learning of chronobiology by introducing them to basic chronobiology concepts as well as to methods and statistical analysis tools specific for circadian rhythms. We designed an autorhythmometry laboratory session where students simultaneously played the role…
Improving Student Retention and Performance in Quantitative Courses Using Clickers
ERIC Educational Resources Information Center
Liu, Wallace C.; Stengel, Donald N.
2011-01-01
Clickers offer instructors of mathematics-related courses an opportunity to involve students actively in class sessions while diminishing the embarrassment of being wrong. This paper reports on the use of clickers in two university-level courses in quantitative analysis and business statistics. Results for student retention and examination…
ERIC Educational Resources Information Center
Shukakidze, Berika
2013-01-01
The work is based on PISA 2009 International Assessment Study. Two counties were selected: a developed country, Estonia and a developing country, Azerbaijan. The following Datum was used for statistical analysis: students average scores in reading (162 schools, 4 600 students from Azerbaijan; 17 schools, 4 923 students from Estonia). The work is…
Munabi, Ian G; Buwembo, William; Bajunirwe, Francis; Kitara, David Lagoro; Joseph, Ruberwa; Peter, Kawungezi; Obua, Celestino; Quinn, John; Mwaka, Erisa S
2015-02-25
Effective utilization of computers and their applications in medical education and research is of paramount importance to students. The objective of this study was to determine the association between owning a computer and use of computers for research data analysis and the other factors influencing health professions students' computer use for data analysis. We conducted a cross sectional study among undergraduate health professions students at three public universities in Uganda using a self-administered questionnaire. The questionnaire was composed of questions on participant demographics, students' participation in research, computer ownership, and use of computers for data analysis. Descriptive and inferential statistics (uni-variable and multi- level logistic regression analysis) were used to analyse data. The level of significance was set at 0.05. Six hundred (600) of 668 questionnaires were completed and returned (response rate 89.8%). A majority of respondents were male (68.8%) and 75.3% reported owning computers. Overall, 63.7% of respondents reported that they had ever done computer based data analysis. The following factors were significant predictors of having ever done computer based data analysis: ownership of a computer (adj. OR 1.80, p = 0.02), recently completed course in statistics (Adj. OR 1.48, p =0.04), and participation in research (Adj. OR 2.64, p <0.01). Owning a computer, participation in research and undertaking courses in research methods influence undergraduate students' use of computers for research data analysis. Students are increasingly participating in research, and thus need to have competencies for the successful conduct of research. Medical training institutions should encourage both curricular and extra-curricular efforts to enhance research capacity in line with the modern theories of adult learning.
NASA Astrophysics Data System (ADS)
Huerta, Margarita
This quantitative study explored the impact of literacy integration in a science inquiry classroom involving the use of science notebooks on the academic language development and conceptual understanding of students from diverse (i.e., English Language Learners, or ELLs) and low socio-economic status (low-SES) backgrounds. The study derived from a randomized, longitudinal, field-based NSF funded research project (NSF Award No. DRL - 0822343) targeting ELL and non-ELL students from low-SES backgrounds in a large urban school district in Southeast Texas. The study used a scoring rubric (modified and tested for validity and reliability) to analyze fifth-grade school students' science notebook entries. Scores for academic language quality (or, for brevity, language ) were used to compare language growth over time across three time points (i.e., beginning, middle, and end of the school year) and to compare students across categories (ELL, former ELL, non-ELL, and gender) using descriptive statistics and mixed between-within subjects analysis of variance (ANOVA). Scores for conceptual understanding (or, for brevity, concept) were used to compare students across categories (ELL, former ELL, non-ELL, and gender) in three domains using descriptive statistics and ANOVA. A correlational analysis was conducted to explore the relationship, if any, between language scores and concept scores for each group. Students demonstrated statistically significant growth over time in their academic language as reflected by science notebook scores. While ELL students scored lower than former ELL and non-ELL students at the first two time points, they caught up to their peers by the third time point. Similarly, females outperformed males in language scores in the first two time points, but males caught up to females in the third time point. In analyzing conceptual scores, ELLs had statistically significant lower scores than former-ELL and non-ELL students, and females outperformed males in the first two domains. These differences, however, were not statistically significant in the last domain. Last, correlations between language and concept scores were overall, positive, large, and significant across domains and groups. The study presents a rubric useful for quantifying diverse students' science notebook entries, and findings add to the sparse research on the impact of writing in diverse students' language development and conceptual understanding in science.
ERIC Educational Resources Information Center
Berkner, Lutz; Wei, Christina Chang
2006-01-01
This report, based on data from the 2003-04 National Postsecondary Student Aid Study (NASAS:04), provides detailed information about undergraduate tuition and total price of attendance at various types of institutions, the percentage of students receiving various types of financial aid, and the average amounts that they received. In 2003-04,…
ERIC Educational Resources Information Center
Underwood, Sonia M.; Reyes-Gastelum, David; Cooper, Melanie M.
2015-01-01
Longitudinal studies can provide significant insights into how students develop competence in a topic or subject area over time. However, there are many barriers, such as retention of students in the study and the complexity of data analysis, that make these studies rare. Here, we present how a statistical framework, discrete-time survival…
Simionescu, Anca A; Horobet, Alexandra; Belascu, Lucian
2017-12-01
To evaluate how contraception use is linked to information, knowledge and attitudes towards family planning and contraception of medical students. This is a voluntary cross-sectional study using an anonymous questionnaire applied to 62 medical students. The questionnaire had the following main structure: characteristics of the studied population, information on contraception, knowledge about contraception methods, attitudes regarding family planning and contraception, and contraception use. Statistical analysis was performed using STATISTICA 8.0 software and statistical significance of the data was verified using the t-statistic test. The survey had a 95% response rate. Seventy seven percent of the studied population consisted of females aged between 20-40 years, with 85.50% of them being 20-25 years old. The overwhelming majority of respondents believed it was important to be informed on the subject and considered themselves to be well informed on contraception. The internet and courses are the main sources of information. Of all respondents, 75.41% had routine discussions with their partners regarding contraception, 53.23% talked about it with family members and 46.77% with their physician; 90.16% had at least one gynecological examination and 47.54% got themselves tested for sexually transmitted diseases. The condom and the contraceptive pill were the main contraceptive methods for the respondents. Romanian medical students share similar features to their peers in European developed countries. We used a statistical analysis to demonstrate that information, knowledge and attitudes on contraception are closely linked to contraceptive choice.
Factors influencing students' perceptions of their quantitative skills
NASA Astrophysics Data System (ADS)
Matthews, Kelly E.; Hodgson, Yvonne; Varsavsky, Cristina
2013-09-01
There is international agreement that quantitative skills (QS) are an essential graduate competence in science. QS refer to the application of mathematical and statistical thinking and reasoning in science. This study reports on the use of the Science Students Skills Inventory to capture final year science students' perceptions of their QS across multiple indicators, at two Australian research-intensive universities. Statistical analysis reveals several variables predicting higher levels of self-rated competence in QS: students' grade point average, students' perceptions of inclusion of QS in the science degree programme, their confidence in QS, and their belief that QS will be useful in the future. The findings are discussed in terms of implications for designing science curricula more effectively to build students' QS throughout science degree programmes. Suggestions for further research are offered.
NASA Astrophysics Data System (ADS)
Balta, Nuri; Mason, Andrew J.; Singh, Chandralekha
2016-06-01
Students' attitudes and approaches to physics problem solving can impact how well they learn physics and how successful they are in solving physics problems. Prior research in the U.S. using a validated Attitude and Approaches to Problem Solving (AAPS) survey suggests that there are major differences between students in introductory physics and astronomy courses and physics experts in terms of their attitudes and approaches to physics problem solving. Here we discuss the validation, administration, and analysis of data for the Turkish version of the AAPS survey for high school and university students in Turkey. After the validation and administration of the Turkish version of the survey, the analysis of the data was conducted by grouping the data by grade level, school type, and gender. While there are no statistically significant differences between the averages of various groups on the survey, overall, the university students in Turkey were more expertlike than vocational high school students. On an item by item basis, there are statistically differences between the averages of the groups on many items. For example, on average, the university students demonstrated less expertlike attitudes about the role of equations and formulas in problem solving, in solving difficult problems, and in knowing when the solution is not correct, whereas they displayed more expertlike attitudes and approaches on items related to metacognition in physics problem solving. A principal component analysis on the data yields item clusters into which the student responses on various survey items can be grouped. A comparison of the responses of the Turkish and American university students enrolled in algebra-based introductory physics courses shows that on more than half of the items, the responses of these two groups were statistically significantly different, with the U.S. students on average responding to the items in a more expertlike manner.
Statistics for People Who (Think They) Hate Statistics. Third Edition
ERIC Educational Resources Information Center
Salkind, Neil J.
2007-01-01
This text teaches an often intimidating and difficult subject in a way that is informative, personable, and clear. The author takes students through various statistical procedures, beginning with correlation and graphical representation of data and ending with inferential techniques and analysis of variance. In addition, the text covers SPSS, and…
A Descriptive Study of Individual and Cross-Cultural Differences in Statistics Anxiety
ERIC Educational Resources Information Center
Baloglu, Mustafa; Deniz, M. Engin; Kesici, Sahin
2011-01-01
The present study investigated individual and cross-cultural differences in statistics anxiety among 223 Turkish and 237 American college students. A 2 x 2 between-subjects factorial multivariate analysis of covariance (MANCOVA) was performed on the six dependent variables which are the six subscales of the Statistical Anxiety Rating Scale.…
Re-Analysis Report: Daylighting in Schools, Additional Analysis. Tasks 2.2.1 through 2.2.5.
ERIC Educational Resources Information Center
Heschong, Lisa; Elzeyadi, Ihab; Knecht, Carey
This study expands and validates previous research that found a statistical correlation between the amount of daylight in elementary school classrooms and the performance of students on standardized math and reading tests. The researchers reanalyzed the 19971998 school year student performance data from the Capistrano Unified School District…
Analysis of Student Activity in Web-Supported Courses as a Tool for Predicting Dropout
ERIC Educational Resources Information Center
Cohen, Anat
2017-01-01
Persistence in learning processes is perceived as a central value; therefore, dropouts from studies are a prime concern for educators. This study focuses on the quantitative analysis of data accumulated on 362 students in three academic course website log files in the disciplines of mathematics and statistics, in order to examine whether student…
ERIC Educational Resources Information Center
Dega, Bekele Gashe; Govender, Nadaraj
2016-01-01
This study compares the scientific and alternative conceptions of energy and momentum of university first-year science students in Ethiopia and the US. Written data were collected using the Energy and Momentum Conceptual Survey developed by Singh and Rosengrant. The Concentration Analysis statistical method was used for analysing the Ethiopian…
ERIC Educational Resources Information Center
Kirby, Nicola; Dempster, Edith
2015-01-01
Quantitative methods of data analysis usually involve inferential statistics, and are not well known for their ability to reflect the intricacies of a diverse student population. The South African tertiary education sector is characterised by extreme inequality and diversity. Foundation programmes address issues of inequality of access by…
ERIC Educational Resources Information Center
Kennedy, Kate; Peters, Mary; Thomas, Mike
2012-01-01
Value-added analysis is the most robust, statistically significant method available for helping educators quantify student progress over time. This powerful tool also reveals tangible strategies for improving instruction. Built around the work of Battelle for Kids, this book provides a field-tested continuous improvement model for using…
ERIC Educational Resources Information Center
Al-Maamari, Faisal
2015-01-01
It is important to consider the question of whether teacher-, course-, and student-related factors affect student ratings of instructors in Student Evaluation of Teaching (SET) in English Language Teaching (ELT). This paper reports on a statistical analysis of SET in two large EFL programmes at a university setting in the Sultanate of Oman. I…
ERIC Educational Resources Information Center
Mercado, Claudia
2012-01-01
The purpose of this study was to learn more about the Hispanic students attending Northeastern Illinois University, a four-year institution in Chicago, IL, and their student success. Little is known descriptively and statistically about this population at NEIU, which serves as a Hispanic-Serving Institution. In addition, little is known about…
NASA Astrophysics Data System (ADS)
Devetak, Iztok; Aleksij Glažar, Saša
2010-08-01
Submicrorepresentations (SMRs) are a powerful tool for identifying misconceptions of chemical concepts and for generating proper mental models of chemical phenomena in students' long-term memory during chemical education. The main purpose of the study was to determine which independent variables (gender, formal reasoning abilities, visualization abilities, and intrinsic motivation for learning chemistry) have the maximum influence on students' reading and drawing SMRs. A total of 386 secondary school students (aged 16.3 years) participated in the study. The instruments used in the study were: test of Chemical Knowledge, Test of Logical Thinking, two tests of visualization abilities Patterns and Rotations, and questionnaire on Intrinsic Motivation for Learning Science. The results show moderate, but statistically significant correlations between students' intrinsic motivation, formal reasoning abilities and chemical knowledge at submicroscopic level based on reading and drawing SMRs. Visualization abilities are not statistically significantly correlated with students' success on items that comprise reading or drawing SMRs. It can be also concluded that there is a statistically significant difference between male and female students in solving problems that include reading or drawing SMRs. Based on these statistical results and content analysis of the sample problems, several educational strategies can be implemented for students to develop adequate mental models of chemical concepts on all three levels of representations.
Chiou, Chei-Chang; Wang, Yu-Min; Lee, Li-Tze
2014-08-01
Statistical knowledge is widely used in academia; however, statistics teachers struggle with the issue of how to reduce students' statistics anxiety and enhance students' statistics learning. This study assesses the effectiveness of a "one-minute paper strategy" in reducing students' statistics-related anxiety and in improving students' statistics-related achievement. Participants were 77 undergraduates from two classes enrolled in applied statistics courses. An experiment was implemented according to a pretest/posttest comparison group design. The quasi-experimental design showed that the one-minute paper strategy significantly reduced students' statistics anxiety and improved students' statistics learning achievement. The strategy was a better instructional tool than the textbook exercise for reducing students' statistics anxiety and improving students' statistics achievement.
ERIC Educational Resources Information Center
Wendt, Jillian; Courduff, Jennifer
2018-01-01
A causal comparative research design was utilized in this study to examine the relationship between international students' perceptions of teacher presence in the online learning environment and students' achievement as measured by end of course grades. Spearman's analysis indicated no statistically significant correlation between the composite…
Return to Our Roots: Raising Radishes to Teach Experimental Design. Methods and Techniques.
ERIC Educational Resources Information Center
Stallings, William M.
1993-01-01
Reviews research in teaching applied statistics. Concludes that students should analyze data from studies they have designed and conducted. Describes an activity in which students study germination and growth of radish seeds. Includes a table providing student instructions for both the experimental procedure and data analysis. (CFR)
An Analysis of Factors Affecting Student Perceptions in a Blended Learning Environment
ERIC Educational Resources Information Center
Peruso, Florence Mary
2012-01-01
The current quantitative study measured the perceptions of students towards online-only learning and towards blended-hybrid learning. Descriptive statistics were implemented to analyze the data from a Likert-type survey, administered to students in degree-seeking programs at an institution of higher learning. A "t"-test and…
ERIC Educational Resources Information Center
Simone, Sean Anthony
2014-01-01
The federal government invests billions of dollars in grants and loans to help students access and complete postsecondary education. Federal policymakers, therefore, have had a continuing interest in understanding the ability of students to transfer credits between postsecondary institutions. In 2005, the Senate Health, Education, Labor, and…
ERIC Educational Resources Information Center
Blackwell, Cindy DeRuiter; Bilics, Andrea
2018-01-01
Directors of entry-level occupational therapy (OT) programs were surveyed regarding how their programs prepare students to become mental health practitioners in schools. Analysis of quantitative data included descriptive statistics to examine participants' ratings of their program's ability to prepare students for mental health practice. We found…
Structure of Student Time Management Scale (STMS)
ERIC Educational Resources Information Center
Balamurugan, M.
2013-01-01
With the aim of constructing a Student Time Management Scale (STMS), the initial version was administered and data were collected from 523 standard eleventh students. (Mean age = 15.64). The data obtained were subjected to Reliability and Factor analysis using PASW Statistical software version 18. From 42 items 14 were dropped, resulting in the…
Biometrics in the Medical School Curriculum: Making the Necessary Relevant.
ERIC Educational Resources Information Center
Murphy, James R.
1980-01-01
Because a student is more likely to learn and retain course content perceived as relevant, an attempt was made to change medical students' perceptions of a biometrics course by introducing statistical methods as a means of solving problems in the interpretation of clinical lab data. Retrospective analysis of student course evaluations indicates a…
Descriptive Analysis of Student Ratings
ERIC Educational Resources Information Center
Marasini, Donata; Quatto, Piero
2011-01-01
Let X be a statistical variable representing student ratings of University teaching. It is natural to assume for X an ordinal scale consisting of k categories (in ascending order of satisfaction). At first glance, student ratings can be summarized by a location index (such as the mode or the median of X) associated with a convenient measure of…
Long-term Results of an Analytical Assessment of Student Compounded Preparations.
Roark, Angie M; Anksorus, Heidi N; Shrewsbury, Robert P
2014-11-15
To investigate the long-term (ie, 6-year) impact of a required remake vs an optional remake on student performance in a compounding laboratory course in which students' compounded preparations were analyzed. The analysis data for several preparations made by students were compared for differences in the analyzed content of the active pharmaceutical ingredient (API) and the number of students who successfully compounded the preparation on the first attempt. There was a consistent statistical difference in the API amount or concentration in 4 of the preparations (diphenhydramine, ketoprofen, metoprolol, and progesterone) in each optional remake year compared to the required remake year. As the analysis requirement was continued, the outcome for each preparation approached and/or attained the expected API result. Two preparations required more than 1 year to demonstrate a statistical difference. The analytical assessment resulted in a consistent, long-term improvement in student performance during the 5-year period after the optional remake policy was instituted. Our assumption is that investment in such an assessment would result in a similar benefits at other colleges and schools of pharmacy.
NASA Astrophysics Data System (ADS)
Kartono; Suryadi, D.; Herman, T.
2018-01-01
This study aimed to analyze the enhancement of non-linear learning (NLL) in the online tutorial (OT) content to students’ knowledge of normal distribution application (KONDA). KONDA is a competence expected to be achieved after students studied the topic of normal distribution application in the course named Education Statistics. The analysis was performed by quasi-experiment study design. The subject of the study was divided into an experimental class that was given OT content in NLL model and a control class which was given OT content in conventional learning (CL) model. Data used in this study were the results of online objective tests to measure students’ statistical prior knowledge (SPK) and students’ pre- and post-test of KONDA. The statistical analysis test of a gain score of KONDA of students who had low and moderate SPK’s scores showed students’ KONDA who learn OT content with NLL model was better than students’ KONDA who learn OT content with CL model. Meanwhile, for students who had high SPK’s scores, the gain score of students who learn OT content with NLL model had relatively similar with the gain score of students who learn OT content with CL model. Based on those findings it could be concluded that the NLL model applied to OT content could enhance KONDA of students in low and moderate SPK’s levels. Extra and more challenging didactical situation was needed for students in high SPK’s level to achieve the significant gain score.
Lahti, Mari; Hätönen, Heli; Välimäki, Maritta
2014-01-01
To review the impact of e-learning on nurses' and nursing student's knowledge, skills and satisfaction related to e-learning. We conducted a systematic review and meta-analysis of randomized controlled trials (RCT) to assess the impact of e-learning on nurses' and nursing student's knowledge, skills and satisfaction. Electronic databases including MEDLINE (1948-2010), CINAHL (1981-2010), Psychinfo (1967-2010) and Eric (1966-2010) were searched in May 2010 and again in December 2010. All RCT studies evaluating the effectiveness of e-learning and differentiating between traditional learning methods among nurses were included. Data was extracted related to the purpose of the trial, sample, measurements used, index test results and reference standard. An extraction tool developed for Cochrane reviews was used. Methodological quality of eligible trials was assessed. 11 trials were eligible for inclusion in the analysis. We identified 11 randomized controlled trials including a total of 2491 nurses and student nurses'. First, the random effect size for four studies showed some improvement associated with e-learning compared to traditional techniques on knowledge. However, the difference was not statistically significant (p=0.39, MD 0.44, 95% CI -0.57 to 1.46). Second, one study reported a slight impact on e-learning on skills, but the difference was not statistically significant, either (p=0.13, MD 0.03, 95% CI -0.09 to 0.69). And third, no results on nurses or student nurses' satisfaction could be reported as the statistical data from three possible studies were not available. Overall, there was no statistical difference between groups in e-learning and traditional learning relating to nurses' or student nurses' knowledge, skills and satisfaction. E-learning can, however, offer an alternative method of education. In future, more studies following the CONSORT and QUOROM statements are needed to evaluate the effects of these interventions. Copyright © 2013 Elsevier Ltd. All rights reserved.
A strategy for involving on-campus and distance students in a nursing research course.
Shuster, George F; Learn, Cheryl Demerth; Duncan, Robert
2003-01-01
Teaching research at the undergraduate level can be a challenge. This is particularly true for distance education courses, in which students often feel isolated from each other and from faculty. Faculty teaching on-campus and distance education research courses designed a student research project and a method for bringing distance and on-campus students together to present their research findings. By actively engaging students in the research process and providing an on-campus research day for the presentation of student posters (Year 1) and research papers (Year 2), course faculty were able to achieve their two goals of directly involving students in the nursing research process and creating a greater student sense of belonging within the college learning community. Statistical analysis of an evaluation survey among on-site and off-site registered nurse to bachelor of science in nursing students indicated both groups ranked the Year 1 poster research day as good to very good. Students attending the Year 2 research day, where they presented papers, ranked the day as good. Statistical analysis indicated a significant difference between the two research days, with a clear student preference for posters. Students valued their active participation in the research process and the opportunity to get together and present their work. However, students clearly preferred a poster presentation format to presenting their findings as a research paper.
NASA Astrophysics Data System (ADS)
Marks, Jamar Terry
The purpose of this quasi-experimental, nonequivalent pretest-posttest control group design study was to determine if any differences existed in upper elementary school students' science academic achievement when instructed using an 8-week integrated science and English language arts literacy supplemental instructional intervention in conjunction with traditional science classroom instruction as compared to when instructed using solely traditional science classroom instruction. The targeted sample population consisted of fourth-grade students enrolled in a public elementary school located in the southeastern region of the United States. The convenience sample size consisted of 115 fourth-grade students enrolled in science classes. The pretest and posttest academic achievement data collected consisted of the science segment from the Spring 2015, and Spring 2016 state standardized assessments. Pretest and posttest academic achievement data were analyzed using an ANCOVA statistical procedure to test for differences, and the researcher reported the results of the statistical analysis. The results of the study show no significant difference in science academic achievement between treatment and control groups. An interpretation of the results and recommendations for future research were provided by the researcher upon completion of the statistical analysis.
NASA Astrophysics Data System (ADS)
Allen, David
Some informal discussions among educators regarding motivation of students and academic performance have included the topic of magnet schools. The premise is that a focused theme, such as an aspect of science, positively affects student motivation and academic achievement. However, there is limited research involving magnet schools and their influence on student motivation and academic performance. This study provides empirical data for the discussion about magnet schools influence on motivation and academic ability. This study utilized path analysis in a structural equation modeling framework to simultaneously investigate the relationships between demographic exogenous independent variables, the independent variable of attending a science or technology magnet middle school, and the dependent variables of motivation to learn science and academic achievement in science. Due to the categorical nature of the variables, Bayesian statistical analysis was used to calculate the path coefficients and the standardized effects for each relationship in the model. The coefficients of determination were calculated to determine the amount of variance each path explained. Only five of 21 paths had statistical significance. Only one of the five statistically significant paths (Attended Magnet School to Motivation to Learn Science) explained a noteworthy amount (45.8%) of the variance.
ERIC Educational Resources Information Center
Lau, Joann M.; Korn, Robert W.
2007-01-01
In this article, the authors present a laboratory exercise in data collection and statistical analysis in biological space using clustered stomates on leaves of "Begonia" plants. The exercise can be done in middle school classes by students making their own slides and seeing imprints of cells, or at the high school level through collecting data of…
ERIC Educational Resources Information Center
Rimbey, Kimberly
2008-01-01
Created by teachers for teachers, the Math Academy tools and activities included in this booklet were designed to create hands-on activities and a fun learning environment for the teaching of mathematics to the students. This booklet contains the "Math Academy--Play Ball! Explorations in Data Analysis & Statistics," which teachers can use to…
Ari, Arzu
2009-09-01
Respiratory care education programs are being held accountable for student retention. Increasing student retention is necessary for the respiratory therapy profession, which suffers from a shortage of qualified therapists needed to meet the increased demand. The present study investigated the relationship between student retention rate and program resources, in order to understand which and to what extent the different components of program resources predict student retention rate. The target population of this study was baccalaureate of science degree respiratory care education programs. After utilizing a survey research method, Pearson correlations and multiple regression analysis were used for data analysis. With a 63% response rate (n = 36), this study found a statistically significant relationship between program resources and student retention rate. Financial and personnel resources had a statistically significant positive relationship with student retention. The mean financial resources per student was responsible for 33% of the variance in student retention, while the mean personnel resources per student accounted for 12% of the variance in student retention. Program financial resources available to students was the single best predictor of program performance on student retention. Respiratory care education programs spending more money per student and utilizing more personnel in the program have higher mean performance in student retention. Therefore, respiratory care education programs must devote sufficient resources to retaining students so that they can produce more respiratory therapists and thereby make the respiratory therapy profession stronger.
Vahedi, Shahram; Farrokhi, Farahman
2011-01-01
Objective The aim of this study is to explore the confirmatory factor analysis results of the Persian adaptation of Statistics Anxiety Measure (SAM), proposed by Earp. Method The validity and reliability assessments of the scale were performed on 298 college students chosen randomly from Tabriz University in Iran. Confirmatory factor analysis (CFA) was carried out to determine the factor structures of the Persian adaptation of SAM. Results As expected, the second order model provided a better fit to the data than the three alternative models. Conclusions Hence, SAM provides an equally valid measure for use among college students. The study both expands and adds support to the existing body of math anxiety literature. PMID:22952530
ERIC Educational Resources Information Center
Guler, Mustafa; Gursoy, Kadir; Guven, Bulent
2016-01-01
Understanding and interpreting biased data, decision-making in accordance with the data, and critically evaluating situations involving data are among the fundamental skills necessary in the modern world. To develop these required skills, emphasis on statistical literacy in school mathematics has been gradually increased in recent years. The…
ERIC Educational Resources Information Center
Fagginger Auer, Marije F.; Hickendorff, Marian; Van Putten, Cornelis M.; Béguin, Anton A.; Heiser, Willem J.
2016-01-01
A first application of multilevel latent class analysis (MLCA) to educational large-scale assessment data is demonstrated. This statistical technique addresses several of the challenges that assessment data offers. Importantly, MLCA allows modeling of the often ignored teacher effects and of the joint influence of teacher and student variables.…
ERIC Educational Resources Information Center
Heinicke, Susanne; Heering, Peter
2013-01-01
The aim of this paper is to discuss different approaches to the quality (or uncertainty) of measurement data considering both historical examples and today's students' views. Today's teaching of data analysis is very much focussed on the application of statistical routines (often called the "Gaussian approach" to error analysis). Studies on…
Investigating Student Understanding for a Statistical Analysis of Two Thermally Interacting Solids
NASA Astrophysics Data System (ADS)
Loverude, Michael E.
2010-10-01
As part of an ongoing research and curriculum development project for upper-division courses in thermal physics, we have developed a sequence of tutorials in which students apply statistical methods to examine the behavior of two interacting Einstein solids. In the sequence, students begin with simple results from probability and develop a means for counting the states in a single Einstein solid. The students then consider the thermal interaction of two solids, and observe that the classical equilibrium state corresponds to the most probable distribution of energy between the two solids. As part of the development of the tutorial sequence, we have developed several assessment questions to probe student understanding of various aspects of this system. In this paper, we describe the strengths and weaknesses of student reasoning, both qualitative and quantitative, to assess the readiness of students for one tutorial in the sequence.
NASA Astrophysics Data System (ADS)
Powell, Cynthia B.; Mason, Diana S.
2013-04-01
Chemistry instructors in teaching laboratories provide expert modeling of techniques and cognitive processes and provide assistance to enrolled students that may be described as scaffolding interaction. Such student support is particularly essential in laboratories taught with an inquiry-based curriculum. In a teaching laboratory with a high instructor-to-student ratio, mobile devices can provide a platform for expert modeling and scaffolding during the laboratory sessions. This research study provides data collected on the effectiveness of podcasts delivered as needed in a first-semester general chemistry laboratory setting. Podcasts with audio and visual tracks covering essential laboratory techniques and central concepts that aid in experimental design or data processing were prepared and made available for students to access on an as-needed basis on iPhones® or iPod touches®. Research focused in three areas: the extent of podcast usage, the numbers and types of interactions between instructors and student laboratory teams, and student performance on graded assignments. Data analysis indicates that on average the podcast treatment laboratory teams accessed a podcast 2.86 times during the laboratory period during each week that podcasts were available. Comparison of interaction data for the lecture treatment laboratory teams and podcast treatment laboratory teams reveals that scaffolding interactions with instructors were statistically significantly fewer for teams that had podcast access rather than a pre-laboratory lecture. The implication of the results is that student laboratory teams were able to gather laboratory information more effectively when it was presented in an on-demand podcast format than in a pre-laboratory lecture format. Finally, statistical analysis of data on student performance on graded assignments indicates no significant differences between outcome measures for the treatment groups when compared as cohorts. The only statistically significant difference is between students who demonstrated a high level of class participation in the concurrent general chemistry lecture course; for this sub-group the students in the podcast treatment group earned a course average that was statistically significantly higher than those in the lecture treatment group.
NASA Astrophysics Data System (ADS)
Thames, Tasha Herrington
The advancement in technology integration is laying the groundwork of a paradigm shift in the higher education system (Noonoo, 2011). The National Dropout Prevention Center (n.d.) claims that technology offers some of the best opportunities for presenting instruction to engage students in meaningful education, addressing multiple intelligences, and adjusting to students' various learning styles. The purpose of this study was to investigate if implementing clicker technology would have a statistically significant difference on student retention and student achievement, while controlling for learning styles, for students in non-major biology courses who were and were not subjected to the technology. This study also sought to identify if students perceived the use of clickers as beneficial to their learning. A quantitative quasi-experimental research design was utilized to determine the significance of differences in pre/posttest achievement scores between students who participated during the fall semester in 2014. Overall, 118 students (n = 118) voluntarily enrolled in the researcher's fall non-major Biology course at a southern community college. A total of 71 students were assigned to the experimental group who participated in instruction incorporating the ConcepTest Process with clicker technology along with traditional lecture. The remaining 51 students were assigned to the control group who participated in a traditional lecture format with peer instruction embedded. Statistical analysis revealed the experimental clicker courses did have higher posttest scores than the non-clicker control courses, but this was not significant (p >.05). Results also implied that clickers did not statistically help retain students to complete the course. Lastly, the results indicated that there were no significant statistical difference in student's clicker perception scores between the different learning style preferences.
Callan, Richard S; Palladino, Christie L; Furness, Alan R; Bundy, Emily L; Ange, Brittany L
2014-10-01
Recent efforts have been directed towards utilizing CAD/CAM technology in the education of future dentists. The purpose of this pilot study was to investigate the feasibility of implementing CAD/CAM technology in instruction on preparing a tooth for restoration. Students at one dental school were assigned access to CAD/CAM technology vs. traditional preparation methods in a randomized, crossover design. In a convenience sample of a second-year class, seventy-six of the seventy-nine students volunteered to participate, for a response rate of 96 percent. Two analyses were performed on this pilot data: a primary effectiveness analysis comparing students' competency exam scores by intervention group (intention-to-treat analysis) and a secondary efficacy analysis comparing competency exam scores among students who reported using CAD/CAM versus those who did not. The effectiveness analysis showed no difference in outcomes by intervention group assignment. While student survey results indicated interest in utilizing the technology, the actual utilization rate was much less than one might anticipate, yielding a sample size that limited statistical power. The secondary analysis demonstrated higher mean competency exam scores for students reporting use of CAD/CAM compared to those who did not use the technology, but these results did not reach statistical significance (p=0.075). Prior research has investigated the efficacy of CAD/CAM in a controlled educational trial, but this study adds to the literature by investigating student use of CAD/CAM in a real-world, self-study fashion. Further studies should investigate ways in which to increase student utilization of CAD/CAM and whether or not increased utilization, with a larger sample size, would yield significant outcomes.
A Mokken scale analysis of the peer physical examination questionnaire.
Vaughan, Brett; Grace, Sandra
2018-01-01
Peer physical examination (PPE) is a teaching and learning strategy utilised in most health profession education programs. Perceptions of participating in PPE have been described in the literature, focusing on areas of the body students are willing, or unwilling, to examine. A small number of questionnaires exist to evaluate these perceptions, however none have described the measurement properties that may allow them to be used longitudinally. The present study undertook a Mokken scale analysis of the Peer Physical Examination Questionnaire (PPEQ) to evaluate its dimensionality and structure when used with Australian osteopathy students. Students enrolled in Year 1 of the osteopathy programs at Victoria University (Melbourne, Australia) and Southern Cross University (Lismore, Australia) were invited to complete the PPEQ prior to their first practical skills examination class. R, an open-source statistics program, was used to generate the descriptive statistics and perform a Mokken scale analysis. Mokken scale analysis is a non-parametric item response theory approach that is used to cluster items measuring a latent construct. Initial analysis suggested the PPEQ did not form a single scale. Further analysis identified three subscales: 'comfort', 'concern', and 'professionalism and education'. The properties of each subscale suggested they were unidimensional with variable internal structures. The 'comfort' subscale was the strongest of the three identified. All subscales demonstrated acceptable reliability estimation statistics (McDonald's omega > 0.75) supporting the calculation of a sum score for each subscale. The subscales identified are consistent with the literature. The 'comfort' subscale may be useful to longitudinally evaluate student perceptions of PPE. Further research is required to evaluate changes with PPE and the utility of the questionnaire with other health profession education programs.
ERIC Educational Resources Information Center
Khodadady, Ebrahim; Zabihi, Reza
2011-01-01
This study reports the performance of 419 undergraduate and graduate students on three questionnaires addressing their biodata, social and cultural capitals and personality factors. The statistical analysis of the students' diploma Grade Point Averages (GPAs) and monthly family income (MFI) showed that the GPAs and MFIs of students majoring in…
How Can We Enhance Enjoyment of Secondary School? The Student View
ERIC Educational Resources Information Center
Gorard, Stephen; See, Beng Huat
2011-01-01
This paper considers enjoyment of formal education for young people aged 14 to 16, largely from their own perspective, based on the view of around 3000 students in England. The data include documentary analysis, official statistics, interviews and surveys with staff and students. Enjoyment of school tends to be promoted by factors such as…
ERIC Educational Resources Information Center
Seng, Ernest Lim Kok; Ling, Tan Pei
2013-01-01
This study aims to investigate student satisfaction on quality education services provided by institutions of higher learning in Malaysia. Their level of satisfaction based primarily on the data collected through five dimensions of education service quality. A random sample of 250 students studying in an institution of higher learning was selected…
ERIC Educational Resources Information Center
Siphai, Sunan
2015-01-01
The objective of this study is to investigate the influences of moral, emotional and adversity quotient on good citizenship of Rajabhat University's students in Northeastern Region of Thailand. The samples included 1,087 undergraduate students from 8 different Rajabhat universities. Data analysis was conducted in descriptive statistics and…
Online Graduate Teacher Education: Establishing an EKG for Student Success Intervention
ERIC Educational Resources Information Center
Shelton, Brett E.; Hung, Jui-Long; Baughman, Sarah
2016-01-01
Predicting which students enrolled in graduate online education are at-risk for failure is an arduous yet important task for teachers and administrators alike. This research reports on a statistical analysis technique using both static and dynamic variables to determine which students are at-risk and when an intervention could be most helpful…
Who Was the Real William Shakespeare?
ERIC Educational Resources Information Center
Edwards, Michael Todd
2009-01-01
This article highlights a project that encourages students to connect reading and mathematics instruction by using a data analysis approach. Students analyze sonnets from statistical, literary, and historical points of view in an effort to uncover the true identity of William Shakespeare. (Contains 10 figures.)
Statistics Anxiety and Business Statistics: The International Student
ERIC Educational Resources Information Center
Bell, James A.
2008-01-01
Does the international student suffer from statistics anxiety? To investigate this, the Statistics Anxiety Rating Scale (STARS) was administered to sixty-six beginning statistics students, including twelve international students and fifty-four domestic students. Due to the small number of international students, nonparametric methods were used to…
Dental hygiene students' perceptions of distance learning: do they change over time?
Sledge, Rhonda; Vuk, Jasna; Long, Susan
2014-02-01
The University of Arkansas for Medical Sciences dental hygiene program established a distant site where the didactic curriculum was broadcast via interactive video from the main campus to the distant site, supplemented with on-line learning via Blackboard. This study compared the perceptions of students towards distance learning as they progressed through the 21 month curriculum. Specifically, the study sought to answer the following questions: Is there a difference in the initial perceptions of students on the main campus and at the distant site toward distance learning? Do students' perceptions change over time with exposure to synchronous distance learning over the course of the curriculum? All 39 subjects were women between the ages of 20 and 35 years. Of the 39 subjects, 37 were Caucasian and 2 were African-American. A 15-question Likert scale survey was administered at 4 different periods during the 21 month program to compare changes in perceptions toward distance learning as students progressed through the program. An independent sample t-test and ANOVA were utilized for statistical analysis. At the beginning of the program, independent samples t-test revealed that students at the main campus (n=34) perceived statistically significantly higher effectiveness of distance learning than students at the distant site (n=5). Repeated measures of ANOVA revealed that perceptions of students at the main campus on effectiveness and advantages of distance learning statistically significantly decreased whereas perceptions of students at distant site statistically significantly increased over time. Distance learning in the dental hygiene program was discussed, and replication of the study with larger samples of students was recommended.
Budé, Luc; van de Wiel, Margaretha W J; Imbos, Tjaart; Berger, Martijn P F
2011-06-01
Education is aimed at students reaching conceptual understanding of the subject matter, because this leads to better performance and application of knowledge. Conceptual understanding depends on coherent and error-free knowledge structures. The construction of such knowledge structures can only be accomplished through active learning and when new knowledge can be integrated into prior knowledge. The intervention in this study was directed at both the activation of students as well as the integration of knowledge. Undergraduate university students from an introductory statistics course, in an authentic problem-based learning (PBL) environment, were randomly assigned to conditions and measurement time points. In the PBL tutorial meetings, half of the tutors guided the discussions of the students in a traditional way. The other half guided the discussions more actively by asking directive and activating questions. To gauge conceptual understanding, the students answered open-ended questions asking them to explain and relate important statistical concepts. Results of the quantitative analysis show that providing directive tutor guidance improved understanding. Qualitative data of students' misconceptions seem to support this finding. Long-term retention of the subject matter seemed to be inadequate. ©2010 The British Psychological Society.
ERIC Educational Resources Information Center
Rampey, B.D.; Lutkus, Anthony D.; Weiner, Arlene W.; Rahman, Taslima
2006-01-01
The National Indian Education Study is a two-part study designed to describe the condition of education for American Indian/Alaska Native students in the United States. The study was conducted by the National Center for Education Statistics for the U.S. Department of Education, with the support of the Office of Indian Education. This report, Part…
NASA Astrophysics Data System (ADS)
Martinez, Patricia
This thesis describes a research study that resulted in an instructional model directed at helping fourth grade diverse students improve their science knowledge, their reading comprehension, their awareness of the relationship between science and reading, and their ability to transfer strategies. The focus of the instructional model emerged from the intersection of constructs in science and reading literacy; the model identifies cognitive strategies that can be used in science and reading, and inquiry-based instruction related to the science content read by participants. The intervention is termed INSCIREAD (Instruction in Science and Reading). The GoInquire web-based system (2006) was used to develop students' content knowledge in slow landform change. Seventy-eight students participated in the study. The treatment group comprised 49 students without disabilities and 8 students with disabilities. The control group comprised 21 students without disabilities. The design of the study is a combination of a mixed-methods quasi-experimental design (Study 1), and a single subject design with groups as the unit of analysis (Study 2). The results from the quantitative measures demonstrated that the text recall data analysis from Study 1 yielded near significant statistical levels when comparing the performance of students without disabilities in the treatment group to that of the control group. Visual analyses of the results from the text recall data from Study 2 showed at least minimal change in all groups. The results of the data analysis of the level of the generated questions show there was a statistically significant increase in the scores students without disabilities obtained in the questions they generated from the pre to the posttest. The analyses conducted to detect incongruities, to summarize and rate importance, and to determine the number of propositions on a science and reading concept map data showed a statistically significant difference between students without disabilities in the treatment and the control groups on post-intervention scores. The analysis of the data from the number of misconceptions of students without disabilities showed that the frequency of 4 of the 11 misconceptions changed significantly from pre to post elicitation stages. The analyses of the qualitative measures of the think alouds and interviews generally supported the above findings.
Research Design and Statistics for Applied Linguistics.
ERIC Educational Resources Information Center
Hatch, Evelyn; Farhady, Hossein
An introduction to the conventions of research design and statistical analysis is presented for graduate students of applied linguistics. The chapters cover such concepts as the definition of research, variables, research designs, research report formats, sorting and displaying data, probability and hypothesis testing, comparing means,…
Introduction to Statistics. Learning Packages in the Policy Sciences Series, PS-26. Revised Edition.
ERIC Educational Resources Information Center
Policy Studies Associates, Croton-on-Hudson, NY.
The primary objective of this booklet is to introduce students to basic statistical skills that are useful in the analysis of public policy data. A few, selected statistical methods are presented, and theory is not emphasized. Chapter 1 provides instruction for using tables, bar graphs, bar graphs with grouped data, trend lines, pie diagrams,…
Lucas, Nathanael Cc; Hume, Carl G; Al-Chanati, Abdal; Diprose, William; Roberts, Sally; Freeman, Josh; Mogol, Vernon; Hoskins, David; Hamblin, Richard; Frampton, Chris; Bagg, Warwick; Merry, Alan F
2017-01-13
Hand hygiene is important in reducing healthcare-associated infections. The World Health Organization has defined 'five moments' when hand hygiene compliance is required. During 2013, New Zealand national data showed poor compliance with these moments by medical students. To improve medical students' compliance with the five moments. In this prospective student-led quality improvement initiative, student investigators developed, implemented and evaluated a multi-modal intervention comprising a three-month social media campaign, a competition and an entertaining educational video. Data on individual patient-medical student interactions were collected covertly by observers at baseline and at one week, six weeks and three months after initiation of the intervention. During the campaign, compliance improved in moment 2, but not significantly in moments 1, 3, 4 or 5. Statistical analysis of amalgamated data was limited by non-independent data points-a consideration apparently not always addressed in previous studies. The initiative produced improvements in compliance by medical students with one hand hygiene moment. Statistical analysis of amalgamated data for all five moments should allow for the non-independence of each occasion in which clinicians interact with a patient. More work is needed to ensure excellent hand hygiene practices of future doctors.
ERIC Educational Resources Information Center
Povey, Hilary
2006-01-01
GCSE (General Certificate of Secondary Education) Handling Data coursework should be a golden opportunity to engage students in meaningful "real-life" mathematics. The marking criteria for GCSE handling data coursework puts emphasis on students' ability to plan and carry out a statistical project and to make meaningful analysis of the…
Psychosocial Factors and Community College Student Success: A Meta-Analytic Investigation
ERIC Educational Resources Information Center
Fong, Carlton J.; Davis, Coreen W.; Kim, Yughi; Kim, Young Won; Marriott, Lauren; Kim, SooYeon
2017-01-01
This meta-analysis examined the relationship between psychosocial factors and community college student success. Informed by college persistence models and motivational theory, we statistically integrated past research on five psychosocial categories (motivation, self-perceptions, attributions, self-regulation, and anxiety), examining their…
Long-term Results of an Analytical Assessment of Student Compounded Preparations
Roark, Angie M.; Anksorus, Heidi N.
2014-01-01
Objective. To investigate the long-term (ie, 6-year) impact of a required remake vs an optional remake on student performance in a compounding laboratory course in which students’ compounded preparations were analyzed. Methods. The analysis data for several preparations made by students were compared for differences in the analyzed content of the active pharmaceutical ingredient (API) and the number of students who successfully compounded the preparation on the first attempt. Results. There was a consistent statistical difference in the API amount or concentration in 4 of the preparations (diphenhydramine, ketoprofen, metoprolol, and progesterone) in each optional remake year compared to the required remake year. As the analysis requirement was continued, the outcome for each preparation approached and/or attained the expected API result. Two preparations required more than 1 year to demonstrate a statistical difference. Conclusion. The analytical assessment resulted in a consistent, long-term improvement in student performance during the 5-year period after the optional remake policy was instituted. Our assumption is that investment in such an assessment would result in a similar benefits at other colleges and schools of pharmacy. PMID:26056402
ERIC Educational Resources Information Center
Kretchmar, Kerry
2014-01-01
In this article, I serve as a secretary for the critical policy analysis presented by hundreds of teachers, parents, students, and community members during 19 public hearings on school closures in New York City. In testimony at hearings, community members rejected the narrow, statistical approach they felt the Department of Education was using to…
ERIC Educational Resources Information Center
Murphy, Philip J.
The paper reports the final evaluation of a program for approximately 143 learning disabled (LD) students (grades 6-to-12) from six school districts. A number of test instruments were used to evaluate student progress during the program, including the Wide Range Achievement Test (WRAT), the Durrell Analysis of Reading Difficulty, and the…
Oral Health on Wheels: A Service Learning Project for Dental Hygiene Students.
Flick, Heather; Barrett, Sheri; Carter-Hanson, Carrie
2016-08-01
To provide dental hygiene students with a service learning opportunity to work with special needs and culturally diverse underserved populations through the Oral Health on Wheels (OHOW) community based mobile dental hygiene clinic. A student feedback survey was administered between the years of 2009 and 2013 to 90 students in order to gather and identify significant satisfaction, skills acquisition and personal growth information after the student's clinical experience on the OHOW. ANOVA and Pearson correlation coefficient statistical analysis were utilized to investigate relationships between student responses to key questions in the survey. An analysis of 85 student responses (94.44%) demonstrated statistically significant correlations between student learning and their understanding of underserved populations, building confidence in skills, participation as a dental team member and understanding their role in total patient care. The strong correlations between these key questions related to the clinical experience and students confidence, skills integration into the dental team, and understanding of both total patient care, and the increased understanding of the oral health care needs of special populations. All questions directly link to the core mission of the OHOW program. The OHOW clinical experience allows dental hygiene students a unique opportunity to engage in their community while acquiring necessary clinical competencies required by national accreditation and providing access to oral health care services to underserved patients who would otherwise go without treatment. Copyright © 2016 The American Dental Hygienists’ Association.
Antecedents of students' achievement in statistics
NASA Astrophysics Data System (ADS)
Awaludin, Izyan Syazana; Razak, Ruzanna Ab; Harris, Hezlin; Selamat, Zarehan
2015-02-01
The applications of statistics in most fields have been vast. Many degree programmes at local universities require students to enroll in at least one statistics course. The standard of these courses varies across different degree programmes. This is because of students' diverse academic backgrounds in which some comes far from the field of statistics. The high failure rate in statistics courses for non-science stream students had been concerning every year. The purpose of this research is to investigate the antecedents of students' achievement in statistics. A total of 272 students participated in the survey. Multiple linear regression was applied to examine the relationship between the factors and achievement. We found that statistics anxiety was a significant predictor of students' achievement. We also found that students' age has significant effect to achievement. Older students are more likely to achieve lowers scores in statistics. Student's level of study also has a significant impact on their achievement in statistics.
Postural awareness among dental students in Jizan, Saudi Arabia
Kanaparthy, Aruna; Kanaparthy, Rosaiah; Boreak, Nezar
2015-01-01
Objective: The study was conducted to assess the postural awareness of dental students in Jizan, Saudi Arabia. Materials and Methods: Close-ended, self-administered questionnaires were used for data collection in the survey. The questionnaire was prepared by observing the positions of students working in the clinics and the common mistakes they make with regard to their postures. The questionnaires were distributed among the dental students who were present and reported to work in the clinics. Levels of postural awareness and the relationship between postural awareness and the degree of musculoskeletal disorder (MSD) among the students was evaluated. This study was carried out in the College of Dental Sciences and Hospital, Jizan. Statistical Analysis: The level of knowledge of postural awareness was evaluated and correlated with the presence or absence of the MSDs. Categorical variables were compared using Chi-square test. P values of less than 0.05 were considered statistically significant. Results: A total of 162 dental students from the age group of 20–25 years were included in the survey, of which 134 dentists responded (83%). When their postural awareness was evaluated, results showed that 89% of the students had poor-to-medium levels of postural awareness. The relation between postural awareness and prevalence of MSDs indicated that 75% of the students with poor awareness, 49% of the students with average awareness, and 40% of the students with good awareness have MSDs. The results were statistically significant (0.002127, which is <0.005) stating that better awareness about proper postures while working helps to minimize the risk of MSDs. Conclusion: Evaluation of levels of postural awareness showed that 21% of the students had poor postural awareness, 67% had average awareness, and 11% had good postural awareness. The analysis of results showed that those students with low-to-average postural awareness had significantly greater prevalence of MSDs. PMID:26942113
A Vehicle for Bivariate Data Analysis
ERIC Educational Resources Information Center
Roscoe, Matt B.
2016-01-01
Instead of reserving the study of probability and statistics for special fourth-year high school courses, the Common Core State Standards for Mathematics (CCSSM) takes a "statistics for all" approach. The standards recommend that students in grades 6-8 learn to summarize and describe data distributions, understand probability, draw…
Examining a Terrorist Network Using Contingency Table Analysis
2011-08-01
Mathematics and Statistics, with a minor in Actuarial Science. This is my second year as a summer student at the U.S. Army Research Laboratory (ARL...After graduation, I plan on either attending graduate school to concentrate in applied statistics or becoming a mathematical statistician for the
Making Decisions with Data: Are We Environmentally Friendly?
ERIC Educational Resources Information Center
English, Lyn; Watson, Jane
2016-01-01
Statistical literacy is a vital component of numeracy. Students need to learn to critically evaluate and interpret statistical information if they are to become informed citizens. This article examines a Year 5 unit of work that uses the data collection and analysis cycle within a sustainability context.
Acikgoz, Ayla; Dayi, Ayfer; Binbay, Tolga
2017-01-01
Objectives: To determine the prevalence of and factors influencing premenstrual syndrome (PMS) in first-year students at a university health campus and to evaluate the relationship between depression and PMS. Methods: This cross-sectional study was conducted on a population of 618 university students from March to June 2016 at Dokuz Eylül University, Izmir, Turkey. Data were collected using the Premenstrual Syndrome Scale (PMSS), Beck Depression Inventory and Student Identification Form. The data were analyzed with Version 20.0 of the Statistical Package for the Social Science. Descriptive statistics, Pearson’s chi-square test, and Chi-square test for trend, and independent samples t test and logistic regression analysis were used. Results: The prevalence of PMS in the university students was 58.1%. Premenstrual syndrome was significantly higher in students who smoked, drink alcohol, and consumed a large amount of fatty and high-calorie foods, in students who had a bad to very bad perception of their economic situation, and those who had any chronic disease or anemia (p<0.05). Premenstrual syndrome was significantly higher in students who had a risk of depression (p<0.01). A statistically significant relationship was determined between the risk of depression and PMSS total score and all PMSS subscale scores except for appetite changes (p<0.01). Conclusion: Premenstrual syndrome was found in more than half of the students who participated in the study. Premenstrual syndrome was higher in students who had a chronic disease and/or an unhealthy lifestyle. There was a statistically significant relationship between PMS and risk of depression. Students who have PMS symptoms should be evaluated for the risk of depression. PMID:29114701
NASA Astrophysics Data System (ADS)
Nuffer, Wesley; Duke, Jodi
2013-08-01
To compare the effectiveness of an internet-based training series with a traditional live classroom session in preparing pharmacy students to oversee a diabetes management program in community settings. Two cohorts of students were identified that prepared by utilizing a recorded online training exclusively, and two separate cohorts of students prepared by receiving only live classroom instruction. All students in the four cohorts were given a survey to evaluate the training sessions, and results were analyzed using the analysis of variance statistical test (ANOVA). Preceptors at the sites who interacted with students in all four cohorts were surveyed to evaluate which students appeared more prepared; these data were compared using paired t tests. Final assessment data for students in all four cohorts were analyzed using ANOVA. There were statistical differences between the two live training groups, with the second group finding the training to be more beneficial for preparing them, feeling the training length was appropriate and preferring the live modality for delivery. The two internet training cohorts were similar except for perceptions regarding the length of the online training. Comparing responses from those students who received live training with those receiving internet instruction demonstrated a statistical difference with the live groups rating the trainings as more helpful in preparing them for the clinics, rating the training as necessary, and rating their confidence higher in seeing patients. Preceptors rated the live training statistically higher than online training in preparing students. There was no difference between groups on their final site assessments. Live classroom training appears to be superior to the recorded internet training in preparing pharmacy students to oversee a diabetes management program in community settings.
Detecting most influencing courses on students grades using block PCA
NASA Astrophysics Data System (ADS)
Othman, Osama H.; Gebril, Rami Salah
2014-12-01
One of the modern solutions adopted in dealing with the problem of large number of variables in statistical analyses is the Block Principal Component Analysis (Block PCA). This modified technique can be used to reduce the vertical dimension (variables) of the data matrix Xn×p by selecting a smaller number of variables, (say m) containing most of the statistical information. These selected variables can then be employed in further investigations and analyses. Block PCA is an adapted multistage technique of the original PCA. It involves the application of Cluster Analysis (CA) and variable selection throughout sub principal components scores (PC's). The application of Block PCA in this paper is a modified version of the original work of Liu et al (2002). The main objective was to apply PCA on each group of variables, (established using cluster analysis), instead of involving the whole large pack of variables which was proved to be unreliable. In this work, the Block PCA is used to reduce the size of a huge data matrix ((n = 41) × (p = 251)) consisting of Grade Point Average (GPA) of the students in 251 courses (variables) in the faculty of science in Benghazi University. In other words, we are constructing a smaller analytical data matrix of the GPA's of the students with less variables containing most variation (statistical information) in the original database. By applying the Block PCA, (12) courses were found to `absorb' most of the variation or influence from the original data matrix, and hence worth to be keep for future statistical exploring and analytical studies. In addition, the course Independent Study (Math.) was found to be the most influencing course on students GPA among the 12 selected courses.
Money Does Matter Somewhere: A Reply to Hanushek.
ERIC Educational Resources Information Center
Hedges, Larry V.; And Others
1994-01-01
Replies to E. A. Hanushek's questioning of the validity of meta-analysis as used by the authors in analyzing resource allocation and its effects on improving student academic performance. Statistical analysis procedures are examined. (GLR)
ERIC Educational Resources Information Center
Yigermal, Moges Endalamaw
2017-01-01
The main objective of the paper is to investigate the determinant factors affecting the academic performance of regular undergraduate students of Arba Minch university (AMU) chamo campus students. To meet the objective, the Pearson product moment correlation statistical tool and econometrics data analysis (OLS regression) method were used with the…
Additional Support for the Information Systems Analyst Exam as a Valid Program Assessment Tool
ERIC Educational Resources Information Center
Carpenter, Donald A.; Snyder, Johnny; Slauson, Gayla Jo; Bridge, Morgan K.
2011-01-01
This paper presents a statistical analysis to support the notion that the Information Systems Analyst (ISA) exam can be used as a program assessment tool in addition to measuring student performance. It compares ISA exam scores earned by students in one particular Computer Information Systems program with scores earned by the same students on the…
Measuring change in critical thinking skills of dental students educated in a PBL curriculum.
Pardamean, Bens
2012-04-01
This study measured the change in critical thinking skills of dental students educated in a problem-based learning (PBL) pedagogical method. The quantitative analysis was focused on measuring students' critical thinking skills achievement from their first through third years of dental education at the University of Southern California. This non-experimental evaluation was based on a volunteer sample of ninety-eight dental students who completed a demographics/academic questionnaire and a psychometric assessment known as the Health Sciences Reasoning Test (HSRT). The HSRT produced the overall critical thinking skills score. Additionally, the HSRT generated five subscale scores: analysis, inference, evaluation, deductive reasoning, and inductive reasoning. The results of this study concluded that the students showed no continuous and significant incremental improvement in their overall critical thinking skills score achievement during their PBL-based dental education. Except for the inductive reasoning score, this result was very consistent with the four subscale scores. Moreover, after performing the statistical adjustment on total score and subscale scores, no significant statistical differences were found among the three student groups. However, the results of this study found some aspects of critical thinking achievements that differed by categories of gender, race, English as first language, and education level.
Haghani, Fariba; Hatef Khorami, Mohammad; Fakhari, Mohammad
2016-07-01
Feedback cards are recommended as a feasible tool for structured written feedback delivery in clinical education while effectiveness of this tool on the medical students' performance is still questionable. The purpose of this study was to compare the effects of structured written feedback by cards as well as verbal feedback versus verbal feedback alone on the clinical performance of medical students at the Mini Clinical Evaluation Exercise (Mini-CEX) test in an outpatient clinic. This is a quasi-experimental study with pre- and post-test comprising four groups in two terms of medical students' externship. The students' performance was assessed through the Mini-Clinical Evaluation Exercise (Mini-CEX) as a clinical performance evaluation tool. Structured written feedbacks were given to two experimental groups by designed feedback cards as well as verbal feedback, while in the two control groups feedback was delivered verbally as a routine approach in clinical education. By consecutive sampling method, 62 externship students were enrolled in this study and seven students were excluded from the final analysis due to their absence for three days. According to the ANOVA analysis and Post Hoc Tukey test, no statistically significant difference was observed among the four groups at the pre-test, whereas a statistically significant difference was observed between the experimental and control groups at the post-test (F = 4.023, p =0.012). The effect size of the structured written feedbacks on clinical performance was 0.19. Structured written feedback by cards could improve the performance of medical students in a statistical sense. Further studies must be conducted in other clinical courses with longer durations.
Reading Ability as a Predictor of Academic Procrastination among African American Graduate Students
ERIC Educational Resources Information Center
Collins, Kathleen M. T.; Onwuegbuzie, Anthony J.; Jiao, Qun G.
2008-01-01
The present study examined the relationship between reading ability (i.e., reading comprehension and reading vocabulary) and academic procrastination among 120 African American graduate students. A canonical correlation analysis revealed statistically significant and practically significant multivariate relationships between these two reading…
Askarian, Mehrdad; Kouchak, Farideh; Youssef, Moussa; Romito, Laura M
2013-10-01
To compare the level of knowledge, the attitudes, and practices with regards to tobacco use between Iranian students at a public (PBU) and Islamic Azad (IAU) university. A cross-sectional design was used in this study. As the number of students at the IAU were three times greater than that of the PBU, we selected 150 students from the PBU and 450 students from the IAU using simple random sampling. A 57-item survey instrument was utilized for this study. The collected data were recorded by SPSS version 15 software and then it underwent statistical analysis using descriptive statistics and ANOVA to compare the difference between means of knowledge, attitude and practice scores. Logistic regression analysis was conducted to identify variables that have an independent association with students smoking and to describe possible variations in these relationships. The P value level for statistical significance was set at 0.05. From participants, 46.8% were females, 10% of 327 students reported being daily smokers; of these, 84% were from the IAU. Totally, among the 107 smokers, 61 (57%) and 29 (27.1%) were water pipe and cigarettes smokers, respectively. Ninety-three IAU students (21.7%) and 30 PBU students (20.7%) reported smoking during the past 30 days. The mean of the knowledge items between the students of IAU was lower than PBU students. Female gender, smoking in the home, and allowing visitors to smoke in the home were significant predictors of smoking in the past 30 days in PBU, respectively. In IAU, female gender, smoking by friends, and health status were predictors for smoking in the past 30 days. Future studies should assess the factors affecting smoking initiation, as well as effective techniques for the prevention of smoking initiation and substance abuse in Iranian adolescents and young adults.
First Results from the Light and Spectroscopy Concept Inventory
ERIC Educational Resources Information Center
Bardar, Erin M.
2008-01-01
This article presents results from a two-semester field test of the Light and Spectroscopy Concept Inventory (LSCI). Statistical analysis indicates that the LSCI has the sensitivity to measure statistically significant changes in students' understanding of light-related topics due to instruction in introductory astronomy courses and to distinguish…
Introductory Statistics and Fish Management.
ERIC Educational Resources Information Center
Jardine, Dick
2002-01-01
Describes how fisheries research and management data (available on a website) have been incorporated into an Introductory Statistics course. In addition to the motivation gained from seeing the practical relevance of the course, some students have participated in the data collection and analysis for the New Hampshire Fish and Game Department. (MM)
Influencing factors of alexithymia in Chinese medical students: a cross-sectional study.
Zhu, Yaxin; Luo, Ting; Liu, Jie; Qu, Bo
2017-04-04
A much higher prevalence of alexithymia has been reported in medical students compared with the general population, and alexithymia is a risk factor that increases vulnerability to mental disorders. Our aim was to evaluate the level of alexithymia in Chinese medical students and to explore its influencing factors. A cross-sectional study of 1,950 medical students at Shenyang Medical College was conducted in May 2014 to evaluate alexithymia in medical students using the Chinese version of the 20-item Toronto Alexithymia Scale (TAS-20). The reliability of the questionnaire was assessed by Cronbach's α coefficient and mean inter-item correlations. Confirmatory factor analysis (CFA) was used to evaluate construct validity. The relationships between alexithymia and influencing factors were examined using Student's t-test, analysis of variance, and multiple linear regression analysis. Statistical analysis was performed using SPSS 21.0. Of the 1,950 medical students, 1,886 (96.7%) completed questionnaires. Overall, Cronbach's α coefficient of the TAS-20 questionnaire was 0.868. The results of CFA showed that the original three-factor structure produced an acceptable fit to the data. By univariate analysis, gender, grade (academic year of study), smoking behavior, alcohol use, physical activity, history of living with parents during childhood, and childhood trauma were influencing factors of TAS-20 scores (p < 0.05). Multiple linear regression analysis showed that gender, physical activity, grade, living with parents, and childhood trauma also had statistically significant association with total TAS-20 score (p < 0.05). Gender, physical activity, grade, history of living with parents during childhood, and childhood trauma were all factors determining the level of alexithymia. To prevent alexithymia, it will be advisable to promote adequate physical activity and pay greater attention to male medical students and those who are in the final year of training.
ERIC Educational Resources Information Center
Weber, David M.
2013-01-01
This study investigated the use of a student evaluation of teaching survey designed by a suburban school district. Several statistical methodologies were used to evaluate the validity and reliability of the instrument. One hundred sections of grades 6-8 reading and mathematics courses were used to examine the research question: Is the Student…
Gebresllasie, Fanna; Tsadik, Mache; Berhane, Eyoel
2017-01-01
Risk sexual practice among students from public universities/colleges is common in Ethiopia. However, little has been known about risk sexual behavior of students in private colleges where more students are potentially enrolled. Therefore, this study aimed to assess the magnitude of risky sexual behaviors and predictors among students of Private Colleges in Mekelle City. A mixed design of both quantitative and qualitative methods was used among 627 randomly selected students of private colleges from February to march 2013. Self administered questionnaire and focus group discussion was used to collect data. A thematic content analysis was used for the qualitative part. For the quantitative study, Univariate, Bivariate and multivariable analysis was made using SPSS version 16 statistical package and p value less than 0.05 was used as cut off point for a statistical significance. Among the total 590 respondents, 151 (29.1%) have ever had sex. Among the sexually active students, 30.5% reported having had multiple sexual partners and consistent condom use was nearly 39%. In multivariable logistic regression analysis, variables such as sex, age group, sex last twelve months and condom use last twelve months was found significantly associated with risky sexual behavior. The findings of qualitative and quantitative study showed consistency in presence of risk factors. Finding of this study showed sexual risk behaviors is high among private colleges such as multiple sexual partners and substance use. So that colleges should emphasis on promoting healthy sexual and reproductive health programs.
ERIC Educational Resources Information Center
Moore, Nathan T.; Deming, John C.
2010-01-01
The garlic problem presented in this article develops several themes related to dimensional analysis and also introduces students to a few basic statistical ideas. This garlic problem was used in a university preparatory chemistry class, designed for students with no chemistry background. However, this course is unique because one of the primary…
Student Participation in Dual Enrollment and College Success
ERIC Educational Resources Information Center
Jones, Stephanie J.
2014-01-01
The study investigated the impact of dual enrollment participation on the academic preparation of first-year full-time college students at a large comprehensive community college and a large research university. The research design was causal-comparative and utilized descriptive and inferential statistics. Multivariate analysis of variances were…
Investigating Academic Success Factors for Undergraduate Business Students
ERIC Educational Resources Information Center
Kaighobadi, Mehdi; Allen, Marcus T.
2008-01-01
Student academic performance is of major interest to all stakeholders of higher education institutions. This study questions whether or not statistical analysis of information that is readily available in most universities' official records system can be used to predict overall academic success. In particular, this study is an attempt to…
The Effectiveness of Edgenuity When Used for Credit Recovery
ERIC Educational Resources Information Center
Eddy, Carri
2013-01-01
This quantitative study used descriptive statistics, logistic regression, and chi-square analysis to determine the impact of using Edgenuity (formerly Education 2020 Virtual Classroom) to assist students in the recovery of lost credits. The sample included a North Texas school district. The Skyward student management system provided archived…
Determinants of Student Wastage in Higher Education.
ERIC Educational Resources Information Center
Johnes, Jill
1990-01-01
Statistical analysis of a sample of the 1979 entry cohort to Lancaster University indicates that the likelihood of non-completion is determined by various characteristics including the student's academic ability, gender, marital status, work experience prior to university, school background, and location of home in relation to university.…
Mathematics authentic assessment on statistics learning: the case for student mini projects
NASA Astrophysics Data System (ADS)
Fauziah, D.; Mardiyana; Saputro, D. R. S.
2018-03-01
Mathematics authentic assessment is a form of meaningful measurement of student learning outcomes for the sphere of attitude, skill and knowledge in mathematics. The construction of attitude, skill and knowledge achieved through the fulfilment of tasks which involve active and creative role of the students. One type of authentic assessment is student mini projects, started from planning, data collecting, organizing, processing, analysing and presenting the data. The purpose of this research is to learn the process of using authentic assessments on statistics learning which is conducted by teachers and to discuss specifically the use of mini projects to improving students’ learning in the school of Surakarta. This research is an action research, where the data collected through the results of the assessments rubric of student mini projects. The result of data analysis shows that the average score of rubric of student mini projects result is 82 with 96% classical completeness. This study shows that the application of authentic assessment can improve students’ mathematics learning outcomes. Findings showed that teachers and students participate actively during teaching and learning process, both inside and outside of the school. Student mini projects also provide opportunities to interact with other people in the real context while collecting information and giving presentation to the community. Additionally, students are able to exceed more on the process of statistics learning using authentic assessment.
Olokundun, Maxwell; Iyiola, Oluwole; Ibidunni, Stephen; Ogbari, Mercy; Falola, Hezekiah; Salau, Odunayo; Peter, Fred; Borishade, Taiye
2018-06-01
The article presented data on the effectiveness of entrepreneurship curriculum contents on university students' entrepreneurial interest and knowledge. The study focused on the perceptions of Nigerian university students. Emphasis was laid on the first four universities in Nigeria to offer a degree programme in entrepreneurship. The study adopted quantitative approach with a descriptive research design to establish trends related to the objective of the study. Survey was be used as quantitative research method. The population of this study included all students in the selected universities. Data was analyzed with the use of Statistical Package for Social Sciences (SPSS). Mean score was used as statistical tool of analysis. The field data set is made widely accessible to enable critical or a more comprehensive investigation.
Attitude towards Oral Health at Various Colleges of the University of Zagreb: A Pilot Study.
Ivica, Anja; Galić, Nada
2014-06-01
The aim of this study was to compare the oral status of three various groups of students: students of the School of Dental Medicine, students of technical sciences and students of humanities. Research included 58 students of the University of Zagreb. They answered 3 questions: how often they brush their teeth, how often they visit their dentist and how important dental health is to them. After a standard dental check-up we calculated the DMFT index. They were given an indicator for plaque Mira-2-Ton® (Hager Werken, Duisburg, Germany) and we calculated the plaque index. For statistical analysis the ANOVA test was used. Students of the School of Dental Medicine had a lower plaque index than other students and this was statistically significant (p=0.0018; f=7.14). They also had a lower DMFT index, but it was not statistically significant (p=0.1004; f=2.4). 83% of students said that they brushed their teeth 2-3 times a day. Only 17% of all students brush their teeth more than 3 times a day and they are all students of the School of Dental Medicine (21% of them). Perception of oral health is on a high level, but perception of oral disease is not. The social approval of the answer was also an important factor. Students of the School of Dental Medicine are an illustrative example of improving our habits due to education.
Attitude towards Oral Health at Various Colleges of the University of Zagreb: A Pilot Study
Ivica, Anja; Galić, Nada
2014-01-01
Purpose The aim of this study was to compare the oral status of three various groups of students: students of the School of Dental Medicine, students of technical sciences and students of humanities. Material and methods Research included 58 students of the University of Zagreb. They answered 3 questions: how often they brush their teeth, how often they visit their dentist and how important dental health is to them. After a standard dental check-up we calculated the DMFT index. They were given an indicator for plaque Mira-2-Ton® (Hager Werken, Duisburg, Germany) and we calculated the plaque index. For statistical analysis the ANOVA test was used. Results Students of the School of Dental Medicine had a lower plaque index than other students and this was statistically significant (p=0.0018; f=7.14). They also had a lower DMFT index, but it was not statistically significant (p=0.1004; f=2.4). 83% of students said that they brushed their teeth 2-3 times a day. Only 17% of all students brush their teeth more than 3 times a day and they are all students of the School of Dental Medicine (21% of them). Perception of oral health is on a high level, but perception of oral disease is not. The social approval of the answer was also an important factor. Conclusion Students of the School of Dental Medicine are an illustrative example of improving our habits due to education. PMID:27688358
[Alcohol use and health-risk behaviours among academic students in Podkarpackie].
Zadarko-Domaradzka, Maria; Zadarko, Emilian; Barabasz, Zbigniew; Sobolewski, Marek
2013-01-01
Alcohol over-use is one of the risk behaviour and has harmful effects on health. In the whole European Region ever forth death among 15-29 years old people is caused by alcohol over. use. The aim of the paper is to present the degree of alcohol consumption propagation among academic stu. dents in Podkarpackie, as well as estimate the occurrence of hazardous drinking. Anonymous questionnaire survey was conducted among academic students in 2010. Chi-square test was used for statistical analysis. There is statistical difference regarding alcohol use between women and men. Men report to drink more and more frequent. Regular alcohol use was declared by 11.9% of men and 2.3% of women. Hazardous drinking was reported by 20.7% students. Age does not statistically differ the occurrence of hazardous drinking. However, it is interesting that although among the group of 19 years old, every seventh student reports hazardous drinking, among the other groups it was reported by every fifth student. More students from urban areas (24%), than from rural areas (18%) report hazardous drinking. Students living in dormitory almost twice more frequent are at the risk of hazardous drinking (29%), than those living with parents (17%). Among female students hazardous drinking was reported by the following faculties: touristic and recreation (24%), law(13%), medical (14%) and mathematic-environmental (15%). Among men students hazardous drinking was highly reported by law and administration faculty students (33%). Among hazardous drinking students as many as 45% regularly smoke cigarettes.
ERIC Educational Resources Information Center
Lin, Min-Jin; Guo, Chorng-Jee; Hsu, Chia-Er
2011-01-01
This study designed and developed a CP-MCT (content-rich, photo-based multiple choice online test) to assess whether college students can apply the basic light concept to interpret daily light phenomena. One hundred college students volunteered to take the CP-MCT, and the results were statistically analyzed by applying t-test or ANOVA (Analysis of…
ERIC Educational Resources Information Center
Thompson, Terry J.; Gould, Karen J.
2005-01-01
In recent years the Metropolitan School District of Wayne Township in Indianapolis has been awash in data. In attempts to improve levels of student achievement, the authors collected all manner of statistical details about students and schools and attempted to perform data analysis as part of the school improvement process. The authors were never…
NASA Astrophysics Data System (ADS)
Ozer, Ozgur
The purpose of this study was to investigate to what extent gender, achievement level, and income level predict the intrinsic and extrinsic work values of 10th grade students. The study explored whether group differences were good predictors of scores in work values. The research was a descriptive, cross-sectional study conducted on 131 10th graders who attended science-oriented charter schools. Students took Super's Work Values Instrument, a Likert-type test that links to 15 work values, which can be categorized as intrinsic and extrinsic values (Super, 1970). Multiple regression analysis was employed as the main analysis followed by ANCOVA. Multiple regression analysis results indicated that there is evidence that 8.9% of the variance in intrinsic work values and 10.2% of the variance in extrinsic work values can be explained by the independent variables ( p < .05). Achievement Level and Income Level may help predict intrinsic work value scores; Achievement Level may also help predict extrinsic work values. Achievement Level was the covariate in ANCOVA. Results indicated that males (M = .174) in this sample have a higher mean of extrinsic work values than that of females (M = -.279). However, there was no statistically significant difference between the intrinsic work values by gender. One possible interpretation of this might be school choice; students in these science-oriented charter schools may have higher intrinsic work values regardless of gender. Results indicated that there was no statistically significant difference among the means of extrinsic work values by income level (p < .05). However, free lunch students (M = .268) have a higher mean of intrinsic work values than that of paid lunch students ( M = -.279). A possible interpretation of this might be that lower income students benefit greatly from the intrinsic work values in overcoming obstacles. Further research is needed in each of these areas. The study produced statistically significant results with little practical significance. Students, parents, teachers, and counselors may still be advised to consider the work value orientations of students during the career choice process.
Methods of learning in statistical education: Design and analysis of a randomized trial
NASA Astrophysics Data System (ADS)
Boyd, Felicity Turner
Background. Recent psychological and technological advances suggest that active learning may enhance understanding and retention of statistical principles. A randomized trial was designed to evaluate the addition of innovative instructional methods within didactic biostatistics courses for public health professionals. Aims. The primary objectives were to evaluate and compare the addition of two active learning methods (cooperative and internet) on students' performance; assess their impact on performance after adjusting for differences in students' learning style; and examine the influence of learning style on trial participation. Methods. Consenting students enrolled in a graduate introductory biostatistics course were randomized to cooperative learning, internet learning, or control after completing a pretest survey. The cooperative learning group participated in eight small group active learning sessions on key statistical concepts, while the internet learning group accessed interactive mini-applications on the same concepts. Controls received no intervention. Students completed evaluations after each session and a post-test survey. Study outcome was performance quantified by examination scores. Intervention effects were analyzed by generalized linear models using intent-to-treat analysis and marginal structural models accounting for reported participation. Results. Of 376 enrolled students, 265 (70%) consented to randomization; 69, 100, and 96 students were randomized to the cooperative, internet, and control groups, respectively. Intent-to-treat analysis showed no differences between study groups; however, 51% of students in the intervention groups had dropped out after the second session. After accounting for reported participation, expected examination scores were 2.6 points higher (of 100 points) after completing one cooperative learning session (95% CI: 0.3, 4.9) and 2.4 points higher after one internet learning session (95% CI: 0.0, 4.7), versus nonparticipants or controls, adjusting for other performance predictors. Students who preferred learning by reflective observation and active experimentation experienced improved performance through internet learning (5.9 points, 95% CI: 1.2, 10.6) and cooperative learning (2.9 points, 95% CI: 0.6, 5.2), respectively. Learning style did not influence study participation. Conclusions. No performance differences by group were observed by intent-to-treat analysis. Participation in active learning appears to improve student performance in an introductory biostatistics course and provides opportunities for enhancing understanding beyond that attained in traditional didactic classrooms.
Utah Virtual Lab: JAVA interactivity for teaching science and statistics on line.
Malloy, T E; Jensen, G C
2001-05-01
The Utah on-line Virtual Lab is a JAVA program run dynamically off a database. It is embedded in StatCenter (www.psych.utah.edu/learn/statsampler.html), an on-line collection of tools and text for teaching and learning statistics. Instructors author a statistical virtual reality that simulates theories and data in a specific research focus area by defining independent, predictor, and dependent variables and the relations among them. Students work in an on-line virtual environment to discover the principles of this simulated reality: They go to a library, read theoretical overviews and scientific puzzles, and then go to a lab, design a study, collect and analyze data, and write a report. Each student's design and data analysis decisions are computer-graded and recorded in a database; the written research report can be read by the instructor or by other students in peer groups simulating scientific conventions.
Sangamesh, N C; Vidya, K C; Pathi, Jugajyoti; Singh, Arpita
2017-01-01
To assess the awareness, attitude, and knowledge about basic life support (BLS) among medical, dental, and nursing students and faculties and the proposal of BLS skills in the academic curriculum of undergraduate (UG) course. Recognition, prevention, and effective management of life-threatening emergencies are the responsibility of health-care professionals. These situations can be successfully managed by proper knowledge and training of the BLS skills. These life-saving maneuvers can be given through the structured resuscitation programs, which are lacking in the academic curriculum. A questionnaire study consisting of 20 questions was conducted among 659 participants in the Kalinga Institute of Dental Sciences, Kalinga Institute of Medical Sciences, KIIT University. Medical junior residents, BDS faculties, interns, nursing faculties, and 3 rd -year and final-year UG students from both medical and dental colleges were chosen. The statistical analysis was carried out using SPSS software version 20.0 (Armonk, NY:IBM Corp). After collecting the data, the values were statistically analyzed and tabulated. Statistical analysis was performed using Mann-Whitney U-test. The results with P < 0.05 were considered statistically significant. Our participants were aware of BLS, showed positive attitude toward it, whereas the knowledge about BLS was lacking, with the statistically significant P value. By introducing BLS regularly in the academic curriculum and by routine hands on workshops, all the health-care providers should be well versed with the BLS skills for effectively managing the life-threatening emergencies.
Diagnosing alternative conceptions of Fermi energy among undergraduate students
NASA Astrophysics Data System (ADS)
Sharma, Sapna; Ahluwalia, Pardeep Kumar
2012-07-01
Physics education researchers have scientifically established the fact that the understanding of new concepts and interpretation of incoming information are strongly influenced by the preexisting knowledge and beliefs of students, called epistemological beliefs. This can lead to a gap between what students actually learn and what the teacher expects them to learn. In a classroom, as a teacher, it is desirable that one tries to bridge this gap at least on the key concepts of a particular field which is being taught. One such key concept which crops up in statistical physics/solid-state physics courses, and around which the behaviour of materials is described, is Fermi energy (εF). In this paper, we present the results which emerged about misconceptions on Fermi energy in the process of administering a diagnostic tool called the Statistical Physics Concept Survey developed by the authors. It deals with eight themes of basic importance in learning undergraduate solid-state physics and statistical physics. The question items of the tool were put through well-established sequential processes: definition of themes, Delphi study, interview with students, drafting questions, administration, validity and reliability of the tool. The tool was administered to a group of undergraduate students and postgraduate students, in a pre-test and post-test design. In this paper, we have taken one of the themes i.e. Fermi energy of the diagnostic tool for our analysis and discussion. Students’ responses and reasoning comments given during interview were analysed. This analysis helped us to identify prevailing misconceptions/learning gaps among students on this topic. How spreadsheets can be effectively used to remove the identified misconceptions and help appreciate the finer nuances while visualizing the behaviour of the system around Fermi energy, normally sidestepped both by the teachers and learners, is also presented in this paper.
NASA Astrophysics Data System (ADS)
Tumewu, Widya Anjelia; Wulan, Ana Ratna; Sanjaya, Yayan
2017-05-01
The purpose of this study was to know comparing the effectiveness of learning using Project-based learning (PjBL) and Discovery Learning (DL) toward students metacognitive strategies on global warming concept. A quasi-experimental research design with a The Matching-Only Pretest-Posttest Control Group Design was used in this study. The subjects were students of two classes 7th grade of one of junior high school in Bandung City, West Java of 2015/2016 academic year. The study was conducted on two experimental class, that were project-based learning treatment on the experimental class I and discovery learning treatment was done on the experimental class II. The data was collected through questionnaire to know students metacognitive strategies. The statistical analysis showed that there were statistically significant differences in students metacognitive strategies between project-based learning and discovery learning.
Middle school students' earthquake content and preparedness knowledge - A mixed method study
NASA Astrophysics Data System (ADS)
Henson, Harvey, Jr.
The purpose of this study was to assess the effect of earthquake instruction on students' earthquake content and preparedness for earthquakes. This study used an innovative direct instruction on earthquake science content and concepts with an inquiry-based group activity on earthquake safety followed by an earthquake simulation and preparedness video to help middle school students understand and prepare for the regional seismic threat. A convenience sample of 384 sixth and seventh grade students at two small middle schools in southern Illinois was used in this study. Qualitative information was gathered using open-ended survey questions, classroom observations, and semi-structured interviews. Quantitative data were collected using a 21 item content questionnaire administered to test students' General Earthquake Knowledge, Local Earthquake Knowledge, and Earthquake Preparedness Knowledge before and after instruction. A pre-test and post-test survey Likert scale with 21 items was used to collect students' perceptions and attitudes. Qualitative data analysis included quantification of student responses to the open-ended questions and thematic analysis of observation notes and interview transcripts. Quantitative datasets were analyzed using descriptive and inferential statistical methods, including t tests to evaluate the differences in means scores between paired groups before and after interventions and one-way analysis of variance (ANOVA) to test for differences between mean scores of the comparison groups. Significant mean differences between groups were further examined using a Dunnett's C post hoc statistical analysis. Integration and interpretation of the qualitative and quantitative results of the study revealed a significant increase in general, local and preparedness earthquake knowledge among middle school students after the interventions. The findings specifically indicated that these students felt most aware and prepared for an earthquake after an intervention that consisted of an inquiry-based group discussion on safety, earthquake content presentation and earthquake simulation video presentation on preparedness. Variations of the intervention, including no intervention, were not as effective in significantly increasing students' conceptual learning of earthquake knowledge.
Stanisavljevic, Dejana; Trajkovic, Goran; Marinkovic, Jelena; Bukumiric, Zoran; Cirkovic, Andja; Milic, Natasa
2014-01-01
Background Medical statistics has become important and relevant for future doctors, enabling them to practice evidence based medicine. Recent studies report that students’ attitudes towards statistics play an important role in their statistics achievements. The aim of the study was to test the psychometric properties of the Serbian version of the Survey of Attitudes Towards Statistics (SATS) in order to acquire a valid instrument to measure attitudes inside the Serbian educational context. Methods The validation study was performed on a cohort of 417 medical students who were enrolled in an obligatory introductory statistics course. The SATS adaptation was based on an internationally accepted methodology for translation and cultural adaptation. Psychometric properties of the Serbian version of the SATS were analyzed through the examination of factorial structure and internal consistency. Results Most medical students held positive attitudes towards statistics. The average total SATS score was above neutral (4.3±0.8), and varied from 1.9 to 6.2. Confirmatory factor analysis validated the six-factor structure of the questionnaire (Affect, Cognitive Competence, Value, Difficulty, Interest and Effort). Values for fit indices TLI (0.940) and CFI (0.961) were above the cut-off of ≥0.90. The RMSEA value of 0.064 (0.051–0.078) was below the suggested value of ≤0.08. Cronbach’s alpha of the entire scale was 0.90, indicating scale reliability. In a multivariate regression model, self-rating of ability in mathematics and current grade point average were significantly associated with the total SATS score after adjusting for age and gender. Conclusion Present study provided the evidence for the appropriate metric properties of the Serbian version of SATS. Confirmatory factor analysis validated the six-factor structure of the scale. The SATS might be reliable and a valid instrument for identifying medical students’ attitudes towards statistics in the Serbian educational context. PMID:25405489
CORSSA: The Community Online Resource for Statistical Seismicity Analysis
Michael, Andrew J.; Wiemer, Stefan
2010-01-01
Statistical seismology is the application of rigorous statistical methods to earthquake science with the goal of improving our knowledge of how the earth works. Within statistical seismology there is a strong emphasis on the analysis of seismicity data in order to improve our scientific understanding of earthquakes and to improve the evaluation and testing of earthquake forecasts, earthquake early warning, and seismic hazards assessments. Given the societal importance of these applications, statistical seismology must be done well. Unfortunately, a lack of educational resources and available software tools make it difficult for students and new practitioners to learn about this discipline. The goal of the Community Online Resource for Statistical Seismicity Analysis (CORSSA) is to promote excellence in statistical seismology by providing the knowledge and resources necessary to understand and implement the best practices, so that the reader can apply these methods to their own research. This introduction describes the motivation for and vision of CORRSA. It also describes its structure and contents.
Finding Balance at the Elusive Mean
ERIC Educational Resources Information Center
Hudson, Rick A.
2012-01-01
Data analysis plays an important role in people's lives. Citizens need to be able to conduct critical analyses of statistical information in the work place, in their personal lives, and when portrayed by the media. However, becoming a conscientious consumer of statistics is a gradual process. The experiences that students have with data in the…
Some Experience with Interactive Computing in Teaching Introductory Statistics.
ERIC Educational Resources Information Center
Diegert, Carl
Students in two biostatistics courses at the Cornell Medical College and in a course in applications of computer science given in Cornell's School of Industrial Engineering were given access to an interactive package of computer programs enabling them to perform statistical analysis without the burden of hand computation. After a general…
ERIC Educational Resources Information Center
Lewis, Virginia Vimpeny
2011-01-01
Number Concepts; Measurement; Geometry; Probability; Statistics; and Patterns, Functions and Algebra. Procedural Errors were further categorized into the following content categories: Computation; Measurement; Statistics; and Patterns, Functions, and Algebra. The results of the analysis showed the main sources of error for 6th, 7th, and 8th…
An On-Line Virtual Environment for Teaching Statistical Sampling and Analysis
ERIC Educational Resources Information Center
Marsh, Michael T.
2009-01-01
Regardless of the related discipline, students in statistics courses invariably have difficulty understanding the connection between the numerical values calculated for end-of-the-chapter exercises and their usefulness in decision making. This disconnect is, in part, due to the lack of time and opportunity to actually design the experiments and…
ERIC Educational Resources Information Center
Ling, Guangming; Rijmen, Frank
2011-01-01
The factorial structure of the Time Management (TM) scale of the Student 360: Insight Program (S360) was evaluated based on a national sample. A general procedure with a variety of methods was introduced and implemented, including the computation of descriptive statistics, exploratory factor analysis (EFA), and confirmatory factor analysis (CFA).…
E-Learning in Croatian Higher Education: An Analysis of Students' Perceptions
NASA Astrophysics Data System (ADS)
Dukić, Darko; Andrijanić, Goran
2010-06-01
Over the last years, e-learning has taken an important role in Croatian higher education as a result of strategies defined and measures undertaken. Nonetheless, in comparison to the developed countries, the achievements in e-learning implementation are still unsatisfactory. Therefore, the efforts to advance e-learning within Croatian higher education need to be intensified. It is further necessary to undertake ongoing activities in order to solve possible problems in e-learning system functioning, which requires the development of adequate evaluation instruments and methods. One of the key steps in this process would be examining and analyzing users' attitudes. This paper presents a study of Croatian students' perceptions with regard to certain aspects of e-learning usage. Given the character of this research, adequate statistical methods were required for the data processing. The results of the analysis indicate that, for the most part, Croatian students have positive perceptions of e-learning, particularly as support to time-honored forms of teaching. However, they are not prepared to completely give up the traditional classroom. Using factor analysis, we identified four underlying factors of a collection of variables related to students' perceptions of e-learning. Furthermore, a certain number of statistically significant differences in student attitudes have been confirmed, in terms of gender and year of study. In our study we used discriminant analysis to determine discriminant functions that distinguished defined groups of students. With this research we managed to a certain degree to alleviate the current data insufficiency in the area of e-learning evaluation among Croatian students. Since this type of learning is gaining in importance within higher education, such analyses have to be conducted continuously.
Hannigan, Ailish; Hegarty, Avril C; McGrath, Deirdre
2014-04-04
While statistics is increasingly taught as part of the medical curriculum, it can be an unpopular subject and feedback from students indicates that some find it more difficult than other subjects. Understanding attitudes towards statistics on entry to graduate entry medical programmes is particularly important, given that many students may have been exposed to quantitative courses in their previous degree and hence bring preconceptions of their ability and interest to their medical education programme. The aim of this study therefore is to explore, for the first time, attitudes towards statistics of graduate entry medical students from a variety of backgrounds and focus on understanding the role of prior learning experiences. 121 first year graduate entry medical students completed the Survey of Attitudes toward Statistics instrument together with information on demographics and prior learning experiences. Students tended to appreciate the relevance of statistics in their professional life and be prepared to put effort into learning statistics. They had neutral to positive attitudes about their interest in statistics and their intellectual knowledge and skills when applied to it. Their feelings towards statistics were slightly less positive e.g. feelings of insecurity, stress, fear and frustration and they tended to view statistics as difficult. Even though 85% of students had taken a quantitative course in the past, only 24% of students described it as likely that they would take any course in statistics if the choice was theirs. How well students felt they had performed in mathematics in the past was a strong predictor of many of the components of attitudes. The teaching of statistics to medical students should start with addressing the association between students' past experiences in mathematics and their attitudes towards statistics and encouraging students to recognise the difference between the two disciplines. Addressing these issues may reduce students' anxiety and perception of difficulty at the start of their learning experience and encourage students to engage with statistics in their future careers.
NASA Astrophysics Data System (ADS)
Taştan, Özgecan; Yalçınkaya, Eylem; Boz, Yezdan
2008-10-01
The aim of this study is to compare the effectiveness of conceptual change text instruction (CCT) in the context of energy in chemical reactions. The subjects of the study were 60, 10th grade students at a high school, who were in two different classes and taught by the same teacher. One of the classes was randomly selected as the experimental group in which CCT instruction was applied, and the other as the control group in which traditional teaching method was used. The data were obtained through the use of Energy Concept Test (ECT), the Attitude Scale towards Chemistry (ASC) and Science Process Skill Test (SPST). In order to find out the effect of the conceptual change text on students' learning of energy concept, independent sample t-tests, ANCOVA (analysis of covariance) and ANOVA (analysis of variance) were used. Results revealed that there was a statistically significant mean difference between the experimental and control group in terms of students' ECT total mean scores; however, there was no statistically significant difference between the experimental and control group in terms of students' attitude towards chemistry. These findings suggest that conceptual change text instruction enhances the understanding and achievement.
NASA Astrophysics Data System (ADS)
Mussen, Kimberly S.
This quantitative research study evaluated the effectiveness of employing pedagogy based on the theory of multiple intelligences (MI). Currently, not all students are performing at the rate mandated by the government. When schools do not meet the required state standards, the school is labeled as not achieving adequate yearly progress (AYP), which may lead to the loss of funding. Any school not achieving AYP would be interested in this study. Due to low state standardized test scores in the district for science, student achievement and attitudes towards learning science were evaluated on a pretest, posttest, essay question, and one attitudinal survey. Statistical significance existed on one of the four research questions. Utilizing the Analysis of Covariance (ANCOVA) for data analysis, student attitudes towards learning science were statically significant in the MI (experimental) group. No statistical significance was found in student achievement on the posttest, delayed posttest, or the essay question test. Social change can result from this study because studying the effects of the multiple intelligence theory incorporated into classroom instruction can have significant effect on how children learn, allowing them to compete in a knowledge society.
2017-01-01
Purpose This study is aimed at identifying the relationships between medical school students’ academic burnout, empathy, and calling, and determining whether their calling has a mediating effect on the relationship between academic burnout and empathy. Methods A mixed method study was conducted. One hundred twenty-seven medical students completed a survey. Scales measuring academic burnout, medical students’ empathy, and calling were utilized. For statistical analysis, correlation analysis, descriptive statistics analysis, and hierarchical multiple regression analyses were conducted. For qualitative approach, eight medical students participated in a focus group interview. Results The study found that empathy has a statistically significant, negative correlation with academic burnout, while having a significant, positive correlation with calling. Sense of calling proved to be an effective mediator of the relationship between academic burnout and empathy. Conclusion This result demonstrates that calling is a key variable that mediates the relationship between medical students’ academic burnout and empathy. As such, this study provides baseline data for an education that could improve medical students’ empathy skills. PMID:28870019
Climate Change Education in Earth System Science
NASA Astrophysics Data System (ADS)
Hänsel, Stephanie; Matschullat, Jörg
2013-04-01
The course "Atmospheric Research - Climate Change" is offered to master Earth System Science students within the specialisation "Climate and Environment" at the Technical University Bergakademie Freiberg. This module takes a comprehensive approach to climate sciences, reaching from the natural sciences background of climate change via the social components of the issue to the statistical analysis of changes in climate parameters. The course aims at qualifying the students to structure the physical and chemical basics of the climate system including relevant feedbacks. The students can evaluate relevant drivers of climate variability and change on various temporal and spatial scales and can transform knowledge from climate history to the present and the future. Special focus is given to the assessment of uncertainties related to climate observations and projections as well as the specific challenges of extreme weather and climate events. At the end of the course the students are able to critically reflect and evaluate climate change related results of scientific studies and related issues in media. The course is divided into two parts - "Climate Change" and "Climate Data Analysis" and encompasses two lectures, one seminar and one exercise. The weekly "Climate change" lecture transmits the physical and chemical background for climate variation and change. (Pre)historical, observed and projected climate changes and their effects on various sectors are being introduced and discussed regarding their implications for society, economics, ecology and politics. The related seminar presents and discusses the multiple reasons for controversy in climate change issues, based on various texts. Students train the presentation of scientific content and the discussion of climate change aspects. The biweekly lecture on "Climate data analysis" introduces the most relevant statistical tools and methods in climate science. Starting with checking data quality via tools of exploratory data analysis the approaches on climate time series, trend analysis and extreme events analysis are explained. Tools to describe relations within the data sets and significance tests further corroborate this. Within the weekly exercises that have to be prepared at home, the students work with self-selected climate data sets and apply the learned methods. The presentation and discussion of intermediate results by the students is as much part of the exercises as the illustration of possible methodological procedures by the teacher using exemplary data sets. The total time expenditure of the course is 270 hours with 90 attendance hours. The remainder consists of individual studies, e.g., preparation of discussions and presentations, statistical data analysis, and scientific writing. Different forms of examination are applied including written or oral examination, scientific report, presentation and portfolio work.
Business Intelligence: Magnum B.I.
ERIC Educational Resources Information Center
Briggs, Linda L.
2007-01-01
Business intelligence (BI) tools offer schools the ability to look beyond a routine statistic, such as what percentage of students have passed a given test. Through data analysis, schools can view specific scores for a select group of students, for example, and compare that data to other groups, classes, or teachers. That is the kind of…
Managing Student Loan Default Risk: Evidence from a Privately Guaranteed Portfolio.
ERIC Educational Resources Information Center
Monteverde, Kirk
2000-01-01
Application of the statistical techniques of survival analysis and credit scoring to private education loans extended to law students found a pronounced seasoning effect for such loans and the robust predictive power of credit bureau scoring of borrowers. Other predictors of default included school-of-attendance, school's geographic location, and…
Dropping in on the Math of Plinko
ERIC Educational Resources Information Center
Naresh, Nirmala; Royce, Bridget
2013-01-01
The game of Plinko offers students an exciting real-world example of the applications of probability and data analysis. The Common Core State Standards for Mathematics (CCSSI 2010) and the Guidelines for Assessment in Statistics Education (GAISE) (Franklin et al. 2007) suggest that students in grades 6-8 be given ample opportunities to engage in…
Students' Initial Knowledge State and Test Design: Towards a Valid and Reliable Test Instrument
ERIC Educational Resources Information Center
CoPo, Antonio Roland I.
2015-01-01
Designing a good test instrument involves specifications, test construction, validation, try-out, analysis and revision. The initial knowledge state of forty (40) tertiary students enrolled in Business Statistics course was determined and the same test instrument undergoes validation. The designed test instrument did not only reveal the baseline…
Sports Betting and Other Gambling in Athletes, Fans, and Other College Students
ERIC Educational Resources Information Center
Nelson, Toben F.; LaBrie, Richard A.; LaPlante, Debi A.; Stanton, Michael; Shaffer, Howard J.; Wechsler, Henry
2007-01-01
Gambling on college and professional sports and the influence of attending colleges with differing levels of "sports interest" were examined among athletes, sports fans, and other students (N = 10,559) at 119 colleges in the United States using multilevel statistical analysis. Athletes and fans reported more sports gambling compared to…
Student Response to Hypermedia in the Lecture Theatre: A Case Study.
ERIC Educational Resources Information Center
Conway, Damian
The Computer Science Department at Monash University (Victoria, Australia) recently began presenting lectures using projection of a hypertext system, HyperLecture, running on a notebook computer as the primary medium. This paper presents a statistical analysis of student reactions to this approach, focusing on the effects, as perceived by the…
Women, University and Science in Twentieth-Century Spain
ERIC Educational Resources Information Center
Canales, Antonio Fco.
2018-01-01
This article aims to question the widely accepted idea that female university students in Spain have, in the past, tended to opt for degrees in the field of humanities. Based on an analysis of the official statistics that are currently available, the paper demonstrates that Spanish female university students showed a clear preference for…
Methods of Learning in Statistical Education: A Randomized Trial of Public Health Graduate Students
ERIC Educational Resources Information Center
Enders, Felicity Boyd; Diener-West, Marie
2006-01-01
A randomized trial of 265 consenting students was conducted within an introductory biostatistics course: 69 received eight small group cooperative learning sessions; 97 accessed internet learning sessions; 96 received no intervention. Effect on examination score (95% CI) was assessed by intent-to-treat analysis and by incorporating reported…
NASA Astrophysics Data System (ADS)
Adedokun, Omolola A.; Liu, Jia; Parker, Loran Carleton; Burgess, Wilella
2015-02-01
Although virtual field trips are becoming popular, there are few empirical studies of their impacts on student outcomes. This study reports on a meta-analytic evaluation of the impact of a virtual field trip on student perceptions of scientists. Specifically, the study examined the summary effect of zipTrips broadcasts on evaluation participants' perceptions of scientists, as well as the moderating effect of program type on program impact. The results showed statistically significant effect of each broadcast, as well as statistically significant summary (combined) effect of zipTrips on evaluation participants' perceptions of scientists. Results of the moderation analysis showed that the effect was greater for the students that participated in the evaluation of the 8th grade broadcasts, providing additional insight into the role of program variation in predicting differential program impact. This study illustrates how meta-analysis, a methodology that should be of interest to STEM education researchers and evaluation practitioners, can be used to summarize the effects of multiple offerings of the same program. Other implications for STEM educators are discussed.
Meeting the family: promoting humanism in gross anatomy.
Crow, Sheila M; O'Donoghue, Dan; Vannatta, Jerry B; Thompson, Britta M
2012-01-01
Human dissection commonly occurs early in the undergraduate medical school curriculum, thus presenting an immediate opportunity for educators to teach and encourage humanistic qualities of respect, empathy, and compassion. The purpose of this study was to measure the impact of the Donor Luncheon, a unique program in which medical students meet the families of the anatomical donor prior to dissection in the anatomy course at the University of Oklahoma College of Medicine. Students were randomized into groups of 8 to attend the luncheon and either met with family of the donor or attended the luncheon with no donor family present. A questionnaire measured students' attitudes at 2 weeks, 6 weeks, and at the conclusion of the anatomy course. Factor analysis revealed 5 scales. Analysis revealed statistically significant differences across time for Donor as Person, Dissection Process, and Donor as Patient and statistically significant differences between groups for Donor as Person and Donor as Patient. These results suggest that this program can provide students with the opportunity to maintain more humanistic attitudes at the beginning of their medical education career.
ERIC Educational Resources Information Center
Stancavage, Frances B.; Mitchell, Julia H.; de Mello, Victor Bandeira; Gaertner, Freya E.; Spain, Angeline K.; Rahal, Michelle L.
2006-01-01
This report presents results from a national survey, conducted in 2005, that examined the educational experiences of American Indian/Alaska Native (AI/AN) students in grades 4 and 8, with particular emphasis on the integration of native language and culture into school and classroom activities. Students, teachers, and school principals all…
Depression among Chinese University Students: Prevalence and Socio-Demographic Correlates
Qiu, Xiao Hui; Yang, Xiu Xian; Qiao, Zheng Xue; Yang, Yan Jie; Liang, Yuan
2013-01-01
The purpose of the present study was to estimate the prevalence of depression in Chinese university students, and to identify the socio-demographic factors associated with depression in this population. A multi-stage stratified sampling procedure was used to select university students (N = 5245) in Harbin (Heilongjiang Province, Northeastern China), who were aged 16–35 years. The Beck Depression Inventory (BDI) was used to determine depressive symptoms of the participants. BDI scores of 14 or higher were categorized as depressive for logistic regression analysis. Depression was diagnosed by the Structured Clinical Interview (SCID) for the Diagnostic and Statistical Manual of Mental Disorders-Fourth Edition (DSM-IV). 11.7% of the participants had a BDI score 14 or higher. Major Depressive Disorder was seen in 4.0% of Chinese university students. There were no statistical differences in the incidence of depression when gender, ethnicity, and university classification were analyzed. Multivariate analysis showed that age, study year, satisfaction with major, family income situation, parental relationship and mother's education were significantly associated with depression. Moderate depression is prevalent in Chinese university students. The students who were older, dissatisfied with their major, had a lower family income, poor parental relationships, and a lower level of mother's education were susceptible to depression. PMID:23516468
da Silva, Luiz Bueno; Coutinho, Antonio Souto; da Costa Eulálio, Eliza Juliana; Soares, Elaine Victor Gonçalves
2012-01-01
The main objective of this study is to evaluate the impact of school furniture and work surface lighting on the body posture of public Middle School students from Paraíba (Brazil). The survey was carried out in two public schools and the target population for the study included 8th grade groups involving a total of 31 students. Brazilian standards for lighting levels, the CEBRACE standards for furniture measurements and the Postural Assessment Software (SAPO) for the postural misalignment assay were adopted for the measurements comparison. The statistic analysis includes analyses of parametric and non-parametric correlations. The results show that the students' most affected parts of the body were the spine, the regions of the knees and head and neck, with 90% of the total number of students presenting postural misalignment. The lighting levels were usually found below 300 lux, below recommended levels. The statistic analysis show that the more adequate the furniture seems to be to the user, the less the user will complain of pain. Such results indicate the need of investments in more suitable school furniture and structural reforms aimed at improving the lighting in the classrooms, which could fulfill the students' profile and reduce their complaints.
Regression Analysis and the Sociological Imagination
ERIC Educational Resources Information Center
De Maio, Fernando
2014-01-01
Regression analysis is an important aspect of most introductory statistics courses in sociology but is often presented in contexts divorced from the central concerns that bring students into the discipline. Consequently, we present five lesson ideas that emerge from a regression analysis of income inequality and mortality in the USA and Canada.
NASA Astrophysics Data System (ADS)
Fowlkes, Carol
Science, technology, engineering, and mathematics (STEM) fields are growing and have lucrative job opportunities for college graduates. However, the number of students in STEM majors and the number of those who persist in those majors is declining; there is also a growing gender gap in STEM graduates. This study investigated three perceived classroom experiences in STEM courses and the nature of differences in these experiences by student gender, instructor gender, and by those who persisted or did not persist in STEM majors. A factorial MANOVA was the statistical method by which the differences were explored. The statistical analysis revealed non-significant mean differences in three-way interaction, all two-way interactions, and all main effects. There were not gendered differences in students' perceptions of the opportunities for hands-on learning, the instructor cares about students' success, and the instructor encourages students' contributions. Further research is proposed to continue examination of this topic with a larger data set that is consistent with the literature regarding the population of STEM students and the number of STEM persisters, and the male-gendered nature of STEM fields.
Robbins, L G
2000-01-01
Graduate school programs in genetics have become so full that courses in statistics have often been eliminated. In addition, typical introductory statistics courses for the "statistics user" rather than the nascent statistician are laden with methods for analysis of measured variables while genetic data are most often discrete numbers. These courses are often seen by students and genetics professors alike as largely irrelevant cookbook courses. The powerful methods of likelihood analysis, although commonly employed in human genetics, are much less often used in other areas of genetics, even though current computational tools make this approach readily accessible. This article introduces the MLIKELY.PAS computer program and the logic of do-it-yourself maximum-likelihood statistics. The program itself, course materials, and expanded discussions of some examples that are only summarized here are available at http://www.unisi. it/ricerca/dip/bio_evol/sitomlikely/mlikely.h tml. PMID:10628965
[Teaching performance assessment in Public Health employing three different strategies].
Martínez-González, Adrián; Moreno-Altamirano, Laura; Ponce-Rosas, Efrén Raúl; Martínez-Franco, Adrián Israel; Urrutia-Aguilar, María Esther
2011-01-01
The educational system depends upon the quality and performance of their faculty and should therefore be process of continuous improvement. To assess the teaching performance of the Public Health professors, at the Faculty of Medicine, UNAM through three strategies. Justification study. The evaluation was conducted under a mediational model through three strategies: students' opinion assessment, self-assessment and students' academic achievement. We applied descriptive statistics, Student t test, ANOVA and Pearson correlation. Twenty professors were evaluated from the Public Health department, representing 57% of all them who teach the subject. The professor's performance was highly valued self-assessment compared with assessment of student opinion, was confirmed by statistical analysis the difference was significant. The difference amongst the three evaluation strategies became more evident between self-assessment and the scores obtained by students in their academic achievement. The integration of these three strategies offers a more complete view of the teacher's performance quality. Academic achievement appears to be a more objective strategy for teaching performance assessment than students' opinion and self-assessment.
Passive smoking: directions for health education among Malaysian college students.
Kurtz, M E; Johnson, S M; Ross-Lee, B
1992-01-01
This study investigated knowledge, attitudes, and preventive efforts of Malaysian college students regarding health risks associated with passive smoking, as well as possible directions for intervention and health education programs. Students responded anonymously to a structured written questionnaire. Statistical analyses were conducted to examine (1) differences in knowledge, attitudes, and preventive efforts between smokers and nonsmokers and between men and women; (2) the relationship between smoking by parents, siblings, and friends, and students' knowledge, attitudes, and preventive efforts; and (3) relationships between knowledge, attitudes, and preventive efforts. Peer groups and siblings had a substantial influence on students' attitudes toward passive smoking and their preventive efforts when exposed to passive smoke. A regression analysis revealed a statistically significant linear dependence of preventive efforts on knowledge and attitudes, with the attitude component playing the dominant role. This research suggests that educational efforts on passive smoking, directed toward young college students in developing countries such as Malaysia, should concentrate heavily on changing attitudes and reducing the effects of peer group and sibling influences.
Basic biostatistics for post-graduate students
Dakhale, Ganesh N.; Hiware, Sachin K.; Shinde, Abhijit T.; Mahatme, Mohini S.
2012-01-01
Statistical methods are important to draw valid conclusions from the obtained data. This article provides background information related to fundamental methods and techniques in biostatistics for the use of postgraduate students. Main focus is given to types of data, measurement of central variations and basic tests, which are useful for analysis of different types of observations. Few parameters like normal distribution, calculation of sample size, level of significance, null hypothesis, indices of variability, and different test are explained in detail by giving suitable examples. Using these guidelines, we are confident enough that postgraduate students will be able to classify distribution of data along with application of proper test. Information is also given regarding various free software programs and websites useful for calculations of statistics. Thus, postgraduate students will be benefitted in both ways whether they opt for academics or for industry. PMID:23087501
Water pipe (shisha) smoking and associated factors among Malaysian university students.
Al-Naggar, Redhwan Ahmed; Saghir, Fatma S A
2011-01-01
The objective of this study was to determine the prevalence of waterpipe (shisha) smoking and associated factors among Malaysian university students. A total of 200 university students from Management and Science University participated in this study. The survey was conducted by simple random sampling by randomly distributing self-administered questionnaires to the library, cafeterias and classes. The protocol of this study was approved by the ethics committee of Management and Science University. Consent forms were obtained from the students before they answered the questionnaire. Statistical analyses were performed using the Statistical Package for Social Science (SPSS) version 13. with the Student's t-test for comparison of the mean practice and backward multiple linear regression for multivariate analysis. The majority of the subjects were male, single, Malay and from urban areas (61.5%, 94.5%, 66%, 76.5%; respectively). In this study 30% of the study participants were shisha smokers. Regarding knowledge about shisha smoking, the majority (48.5%) mentioned that shisha is less harmful than cigarettes and 55% reported that shisha is less addictive. Univariate analysis showed that age, race, sex and income significantly influenced the practice of smoking shisha among university students (p=0.019, p=0.002, p=0.001, p=0.018; respectively). For multivariate analysis, income and gender demonstrated significant influence (both p=0.001). There was a high prevalence of shisha smoking among Malaysian university students and knowledge about the dangers is low. Income and gender significantly influenced the practice of smoking shisha in our population. Banning of smoking including shisha smoking in public places is strongly recommended.
Gebrie, Alemu; Alebel, Animut; Zegeye, Abriham; Tesfaye, Bekele
2018-01-01
Khat chewing has become a common practice among university students in developing countries like Ethiopia. It has a potential effect on physical, mental, social and cognitive aspects of student functioning. In Ethiopia, study findings regarding the prevalence of khat chewing were highly dispersed and inconsistent. Therefore, this systematic review and meta-analysis estimates the pooled prevalence of khat chewing and its predictors among Ethiopian university students. A systematic review and meta-analysis was conducted to assess the prevalence and predictors of khat chewing among university students in Ethiopia. We searched literature from the databases of PubMed, Google Scholar, Science Direct, and the Cochrane Library. A total of 24 Ethiopian studies reporting the prevalence of khat chewing among university students were included. Data were extracted using a standardized data extraction format prepared in Microsoft Excel and the analysis was done using STATA 14 statistical software. To assess heterogeneity, the Cochrane Q test statistics and I2 test were used. Since the included studies exhibit high heterogeneity, a random effect meta-analysis model was computed to estimate the pooled prevalence of khat chewing. Moreover, the association between predictor variables, and khat chewing practice were examined. The meta-analysis of 24 studies revealed that the pooled prevalence of khat chewing among university students in Ethiopia was 23.22% (95% CI: 19.5, 27.0). In the subgroup analysis, the highest prevalence was observed in Oromia region (31.6%; 95CI: 21.2, 41.9) whereas the lowest prevalence was observed in Amhara region (18.1%; 95%CI: 12.4, 23.8). Being male OR: 2.76 (95% CI 1.64, 4.63), family khat chewing practice OR: 2.91 (95% CI 1.06, 7.98), friend khat chewing habit OR: 4.74 (95% CI 3.48, 13.06), alcohol drinking OR: 7.06 (95% CI 5.65, 8.82) and cigarette smoking habit OR: 15.11 (95% CI 8.96, 25.51) were found to be predictors of khat chewing. The study found that the prevalence of khat chewing among university students was quite common, with slightly more than 1 in 5 students engaging in the use of this substance. Being male, family khat chewing practice, friend's khat chewing habit, alcohol drinking, and cigarette smoking were found to be predictors of khat chewing practice among university students.
Guttersrud, Øystein; Petterson, Kjell Sverre
2015-10-01
The present study validates a revised scale measuring individuals' level of the 'engagement in dietary behaviour' aspect of 'critical nutrition literacy' and describes how background factors affect this aspect of Norwegian tenth-grade students' nutrition literacy. Data were gathered electronically during a field trial of a standardised sample test in science. Test items and questionnaire constructs were distributed evenly across four electronic field-test booklets. Data management and analysis were performed using the RUMM2030 item analysis package and the IBM SPSS Statistics 20 statistical software package. Students responded on computers at school. Seven hundred and forty tenth-grade students at twenty-seven randomly sampled public schools were enrolled in the field-test study. The engagement in dietary behaviour scale and the self-efficacy in science scale were distributed to 178 of these students. The dietary behaviour scale and the self-efficacy in science scale came out as valid, reliable and well-targeted instruments usable for the construction of measurements. Girls and students with high self-efficacy reported higher engagement in dietary behaviour than other students. Socio-economic status and scientific literacy - measured as ability in science by applying an achievement test - did not correlate significantly different from zero with students' engagement in dietary behaviour.
NASA Astrophysics Data System (ADS)
Zhou, Hui
It is the inevitable outcome of higher education reform to carry out office and departmental target responsibility system, in which statistical processing of student's information is an important part of student's performance review. On the basis of the analysis of the student's evaluation, the student information management database application system is designed by using relational database management system software in this paper. In order to implement the function of student information management, the functional requirement, overall structure, data sheets and fields, data sheet Association and software codes are designed in details.
Vocational students' learning preferences: the interpretability of ipsative data.
Smith, P J
2000-02-01
A number of researchers have argued that ipsative data are not suitable for statistical procedures designed for normative data. Others have argued that the interpretability of such analyses of ipsative data are little affected where the number of variables and the sample size are sufficiently large. The research reported here represents a factor analysis of the scores on the Canfield Learning Styles Inventory for 1,252 students in vocational education. The results of the factor analysis of these ipsative data were examined in a context of existing theory and research on vocational students and lend support to the argument that the factor analysis of ipsative data can provide sensibly interpretable results.
ERIC Educational Resources Information Center
Findley, Bret R.; Mylon, Steven E.
2008-01-01
We introduce a computer exercise that bridges spectroscopy and thermodynamics using statistical mechanics and the experimental data taken from the commonly used laboratory exercise involving the rotational-vibrational spectrum of HCl. Based on the results from the analysis of their HCl spectrum, students calculate bulk thermodynamic properties…
ERIC Educational Resources Information Center
Sidorov, Oleg V.; Kozub, Lyubov' V.; Goferberg, Alexander V.; Osintseva, Natalya V.
2018-01-01
The article discusses the methodological approach to the technology of the educational experiment performance, the ways of the research data processing by means of research methods and methods of mathematical statistics. The article shows the integrated use of some effective approaches to the training of the students majoring in…
ERIC Educational Resources Information Center
Kosko Karl W.; Singh, Rashmi
2018-01-01
Multiplicative reasoning is a key concept in elementary school mathematics. Item statistics reported by the National Assessment of Educational Progress (NAEP) assessment provide the best current indicator for how well elementary students across the U.S. understand this, and other concepts. However, beyond expert reviews and statistical analysis,…
2014-01-01
Background While statistics is increasingly taught as part of the medical curriculum, it can be an unpopular subject and feedback from students indicates that some find it more difficult than other subjects. Understanding attitudes towards statistics on entry to graduate entry medical programmes is particularly important, given that many students may have been exposed to quantitative courses in their previous degree and hence bring preconceptions of their ability and interest to their medical education programme. The aim of this study therefore is to explore, for the first time, attitudes towards statistics of graduate entry medical students from a variety of backgrounds and focus on understanding the role of prior learning experiences. Methods 121 first year graduate entry medical students completed the Survey of Attitudes toward Statistics instrument together with information on demographics and prior learning experiences. Results Students tended to appreciate the relevance of statistics in their professional life and be prepared to put effort into learning statistics. They had neutral to positive attitudes about their interest in statistics and their intellectual knowledge and skills when applied to it. Their feelings towards statistics were slightly less positive e.g. feelings of insecurity, stress, fear and frustration and they tended to view statistics as difficult. Even though 85% of students had taken a quantitative course in the past, only 24% of students described it as likely that they would take any course in statistics if the choice was theirs. How well students felt they had performed in mathematics in the past was a strong predictor of many of the components of attitudes. Conclusion The teaching of statistics to medical students should start with addressing the association between students’ past experiences in mathematics and their attitudes towards statistics and encouraging students to recognise the difference between the two disciplines. Addressing these issues may reduce students’ anxiety and perception of difficulty at the start of their learning experience and encourage students to engage with statistics in their future careers. PMID:24708762
Analysis of statistical misconception in terms of statistical reasoning
NASA Astrophysics Data System (ADS)
Maryati, I.; Priatna, N.
2018-05-01
Reasoning skill is needed for everyone to face globalization era, because every person have to be able to manage and use information from all over the world which can be obtained easily. Statistical reasoning skill is the ability to collect, group, process, interpret, and draw conclusion of information. Developing this skill can be done through various levels of education. However, the skill is low because many people assume that statistics is just the ability to count and using formulas and so do students. Students still have negative attitude toward course which is related to research. The purpose of this research is analyzing students’ misconception in descriptive statistic course toward the statistical reasoning skill. The observation was done by analyzing the misconception test result and statistical reasoning skill test; observing the students’ misconception effect toward statistical reasoning skill. The sample of this research was 32 students of math education department who had taken descriptive statistic course. The mean value of misconception test was 49,7 and standard deviation was 10,6 whereas the mean value of statistical reasoning skill test was 51,8 and standard deviation was 8,5. If the minimal value is 65 to state the standard achievement of a course competence, students’ mean value is lower than the standard competence. The result of students’ misconception study emphasized on which sub discussion that should be considered. Based on the assessment result, it was found that students’ misconception happen on this: 1) writing mathematical sentence and symbol well, 2) understanding basic definitions, 3) determining concept that will be used in solving problem. In statistical reasoning skill, the assessment was done to measure reasoning from: 1) data, 2) representation, 3) statistic format, 4) probability, 5) sample, and 6) association.
Feith, Helga Judit; Soósné Kiss, Zsuzsanna; Kovácsné Tóth, Agnes; Balázs, Péter
2008-06-15
According to our knowledge, there has never been a comprehensive research in Hungary dealing with healthcare university or college students' social background. The main objectives of our cross-section research were to analyze differences in the social background of female students who decided to become doctors, professional nurses and health visitors. This research was conducted among female medical and nursing college students at the Semmelweis University. There were 295 students invited to participate, the response rate was 68,08% (N = 201). Data analysis was performed by SPSS software by using descriptive methods of statistics. We found a decisive difference among medical, nursing and health visitor students while analyzing a number of socio-demographic characteristics. Most medical students came from families where the parents had college or university degrees, but we can state that there is a minimal likelihood in the case of college students that they are descendants of parents with higher educational degrees. We did not find statistical differences in the three student sample groups regarding their marital status, but fewer nursing college students lived in marriage or household partnership. We found a significant difference in the social background of nursing college and medical students. The social disadvantages of nursing and health visitor students are more considerable than those of medical students.
Attitudes toward statistics in medical postgraduates: measuring, evaluating and monitoring.
Zhang, Yuhai; Shang, Lei; Wang, Rui; Zhao, Qinbo; Li, Chanjuan; Xu, Yongyong; Su, Haixia
2012-11-23
In medical training, statistics is considered a very difficult course to learn and teach. Current studies have found that students' attitudes toward statistics can influence their learning process. Measuring, evaluating and monitoring the changes of students' attitudes toward statistics are important. Few studies have focused on the attitudes of postgraduates, especially medical postgraduates. Our purpose was to understand current attitudes regarding statistics held by medical postgraduates and explore their effects on students' achievement. We also wanted to explore the influencing factors and the sources of these attitudes and monitor their changes after a systematic statistics course. A total of 539 medical postgraduates enrolled in a systematic statistics course completed the pre-form of the Survey of Attitudes Toward Statistics -28 scale, and 83 postgraduates were selected randomly from among them to complete the post-form scale after the course. Most medical postgraduates held positive attitudes toward statistics, but they thought statistics was a very difficult subject. The attitudes mainly came from experiences in a former statistical or mathematical class. Age, level of statistical education, research experience, specialty and mathematics basis may influence postgraduate attitudes toward statistics. There were significant positive correlations between course achievement and attitudes toward statistics. In general, student attitudes showed negative changes after completing a statistics course. The importance of student attitudes toward statistics must be recognized in medical postgraduate training. To make sure all students have a positive learning environment, statistics teachers should measure their students' attitudes and monitor their change of status during a course. Some necessary assistance should be offered for those students who develop negative attitudes.
ERIC Educational Resources Information Center
Yan, Jie
2010-01-01
In this study, the effectiveness of worked examples that emphasizes problem features (data type, number of groups, purpose of analysis) associated with specific problem types (t-test, chi-square, correlation) were examined on students' construction of problem schemata compared to traditional solution-only worked examples. A sample of 96 students…
American Government: An Introduction Using MicroCase with Distance Learners.
ERIC Educational Resources Information Center
Rosberg, William H.
In spring 1997, a project used MicroCase, a computer-based statistical analysis and data retrieval system, to offer an American Government class to distance students at Iowa's Kirkwood Community College (KCC). Students participated in the course at one of the college's 10 learning centers via a statewide fiber-optic network. MicroCase provided the…
ERIC Educational Resources Information Center
Chen, Xianglei
2013-01-01
Producing sufficient numbers of graduates who are prepared for science, technology, engineering, and mathematics (STEM) occupations has become a national priority in the United States. To attain this goal, some policymakers have targeted reducing STEM attrition in college, arguing that retaining more students in STEM fields in college is a…
INVESTIGATION OF THE USE OF STATISTICS IN COUNSELING STUDENTS.
ERIC Educational Resources Information Center
HEWES, ROBERT F.
THE OBJECTIVE WAS TO EMPLOY TECHNIQUES OF PROFILE ANALYSIS TO DEVELOP THE JOINT PROBABILITY OF SELECTING A SUITABLE SUBJECT MAJOR AND OF ASSURING TO A HIGH DEGREE GRADUATION FROM COLLEGE WITH THAT MAJOR. THE SAMPLE INCLUDED 1,197 MIT FRESHMEN STUDENTS IN 1952-53, AND THE VALIDATION GROUP INCLUDED 699 ENTRANTS IN 1954. DATA INCLUDED SECONDARY…
ERIC Educational Resources Information Center
Lehrer, Richard; Kim, Min-joung; Schauble, Leona
2007-01-01
New capabilities in "TinkerPlots 2.0" supported the conceptual development of fifth- and sixth-grade students as they pursued several weeks of instruction that emphasized data modeling. The instruction highlighted links between data analysis, chance, and modeling in the context of describing and explaining the distributions of measures that result…
ERIC Educational Resources Information Center
Koutrouba, Konstantina; Karageorgou, Elissavet
2013-01-01
The present questionnaire-based study was conducted in 2010 in order to examine 677 Greek Second Chance School (SCS) students' perceptions about the cognitive and socio-affective outcomes of project-based learning. Data elaboration, statistical and factor analysis showed that the participants found that project-based learning offered a second…
Developing a Test for Assessing Elementary Students' Comprehension of Science Texts
ERIC Educational Resources Information Center
Wang, Jing-Ru; Chen, Shin-Feng; Tsay, Reuy-Fen; Chou, Ching-Ting; Lin, Sheau-Wen; Kao, Huey-Lien
2012-01-01
This study reports on the process of developing a test to assess students' reading comprehension of scientific materials and on the statistical results of the verification study. A combination of classic test theory and item response theory approaches was used to analyze the assessment data from a verification study. Data analysis indicates the…
A Statistical Analysis of Student Questions in a Cell Biology Laboratory
ERIC Educational Resources Information Center
Keeling, Elena L.; Polacek, Kelly M.; Ingram, Ella L.
2009-01-01
Asking questions is an essential component of the practice of science, but question-asking skills are often underemphasized in science education. In this study, we examined questions written by students as they prepared for laboratory exercises in a senior-level cell biology class. Our goals were to discover 1) what types of questions students…
The Watson-Glaser Critical Thinking Appraisal and the Performance of Business Management Students.
ERIC Educational Resources Information Center
Hicks, R. E.; Southey, G. N.
1990-01-01
The 80-item Watson-Glaser Critical Thinking Appraisal-Form A was administered to 415 business management students in Australia as a step toward adapting the test for Australian use. The results correspond reasonably closely to the U.S. data. Analysis of group results and item statistics provided information about necessary modifications. (SLD)
Student perception of initial transition into a nursing program: A mixed methods research study.
McDonald, Meghan; Brown, Janine; Knihnitski, Crystal
2018-05-01
Transition into undergraduate education programs is stressful and impacts students' well-being and academic achievement. Previous research indicates nursing students experience stress, depression, anxiety, and poor lifestyle habits which interfere with learning. However, nursing students' experience of transition into nursing programs has not been well studied. Incongruence exists between this lack of research and the desire to foster student success. This study analyzed students' experiences of initial transition into a nursing program. An embedded mixed method design. A single site of a direct-entry, four year baccalaureate Canadian nursing program. All first year nursing students enrolled in the fall term of 2016. This study combined the Student Adaptation to College Questionnaire (SACQ) with a subset of participants participating in qualitative focus groups. Quantitative data was analyzed using descriptive statistics to identify statistically significant differences in full-scale and subscale scores. Qualitative data was analyzed utilizing thematic analysis. Significant differences were seen between those who moved to attend university and those who did not, with those who moved scoring lower on the Academic Adjustment subscale. Focus group thematic analysis highlighted how students experienced initial transition into a baccalaureate nursing program. Identified themes included reframing supports, splitting focus/finding focus, negotiating own expectations, negotiating others' expectations, and forming identity. These findings form the Undergraduate Nursing Initial Transition (UNIT) Framework. Significance of this research includes applications in faculty development and program supports to increase student success in the first year of nursing and to provide foundational success for ongoing nursing practice. Copyright © 2018 Elsevier Ltd. All rights reserved.
Sikula, A; Costa, A D
1994-11-01
Ethical values of 171 college students at California State University, Chico, were measured, using a subset of the Rokeach (1968, 1971) Value Survey. Nonparametric statistical analysis, four value measures, and four different consistent tests of significance and probability showed, surprisingly, that the younger students were more ethical than the older students. College students under 21 scored significantly higher ethically on three out of the four measures. Younger college students valued equality, freedom, and honesty more than their older classmates did. Surprisingly also, the younger students were significantly more concerned with being helpful and intellectual and were less involved in pursuing an exciting life and in social recognition than were the older students.
Turking Statistics: Student-Generated Surveys Increase Student Engagement and Performance
ERIC Educational Resources Information Center
Whitley, Cameron T.; Dietz, Thomas
2018-01-01
Thirty years ago, Hubert M. Blalock Jr. published an article in "Teaching Sociology" about the importance of teaching statistics. We honor Blalock's legacy by assessing how using Amazon Mechanical Turk (MTurk) in statistics classes can enhance student learning and increase statistical literacy among social science gradaute students. In…
Some Variables in Relation to Students' Anxiety in Learning Statistics.
ERIC Educational Resources Information Center
Sutarso, Toto
The purpose of this study was to investigate some variables that relate to students' anxiety in learning statistics. The variables included sex, class level, students' achievement, school, mathematical background, previous statistics courses, and race. The instrument used was the 24-item Students' Attitudes Toward Statistics (STATS), which was…
Students' Attitudes toward Statistics across the Disciplines: A Mixed-Methods Approach
ERIC Educational Resources Information Center
Griffith, James D.; Adams, Lea T.; Gu, Lucy L.; Hart, Christian L.; Nichols-Whitehead, Penney
2012-01-01
Students' attitudes toward statistics were investigated using a mixed-methods approach including a discovery-oriented qualitative methodology among 684 undergraduate students across business, criminal justice, and psychology majors where at least one course in statistics was required. Students were asked about their attitudes toward statistics and…
Zhong, Yin; Zhong, Zhaohui; Pan, Jianping; Li, Qunying; Zhong, Yun; Sun, Haoling
2015-09-01
10 learn about the neglected conditions and intuence factors of middle school students aged 12 to 17 years old in rural areas of Shaanxi Province and Chongqing City. The scale and evaluation method formulated in "The Normal Value of Evaluation on the Neglect of Middle School Students from 12 to 17 Years Old in Rural China" was adopted. 2257 respondents among which there were 1157 male students and 1,100 female students in the rural areas of Shaanxi Province and Chongqing City were selected according to the principle of multi-stage stratified cluster sampling. The severe degree of neglect was reflected through the indicator of neglect degree. The method of binary Logistic regression analysis was adopted to analyze the influence factors of neglect. Results The total neglect degree of respondents was (51. 80 ± 9. 06). The neglect degree of middle school students in the rural areas of Chongqing was (53. 21 ± 9. 03). The neglect degree of middle school students in the rural areas of Shaanxi was 50. 50 8. 90. The statistical significance was found in the difference between the two groups (U =6. 17, P <0. 01). The neglect degree of male students was (51. 93 ± 8. 67) while the neglect degree of female students was (51. 66 ± 9. 46). The statistical significance was not found in the difference between the two groups of total neglect degree of different sexes (U = 0. 60, P > 0. 05). The statistical significance was noticed in the differences of neglect degrees of middle school students in different grades at all levels (P <0. 05). The neglect degrees of junior three and senior three students were relatively high. Their total neglect degrees were (53. 54 ± 9. 70) and (53. 36 ± 8. 69) respectively. Except social neglect and safety neglect, there was statistical significance in the differences of neglect degrees of students with different family backgrounds at all levels (P <0. 01). The neglect degree of middle school students in a remarried family was the highest. The total neglect degree was (56. 92 ± 8. 83). The factors influencing the neglect of middle school students were shown in the result of Logistic regression analysis, including the educational level of their fathers, whether they had a separate room, family types, whether the working places of their parents changed in one year, whether the incomes of their parents decreased in one year, their relationship with their parents and the relationship between their parents. The neglected conditions of middle school students in the rural areas of Shaanxi Province and Chongqing City are relatively severe and the factors influencing the neglect of children include the educational level of their fathers, whether they have a separate room, family types, whether the working places of their parents changed in one year, whether the incomes of their parents decrease in one year, their relationship with their parents and the relationship between their parents.
Using Cluster Analysis for Data Mining in Educational Technology Research
ERIC Educational Resources Information Center
Antonenko, Pavlo D.; Toy, Serkan; Niederhauser, Dale S.
2012-01-01
Cluster analysis is a group of statistical methods that has great potential for analyzing the vast amounts of web server-log data to understand student learning from hyperlinked information resources. In this methodological paper we provide an introduction to cluster analysis for educational technology researchers and illustrate its use through…
The Role of Data Analysis Software in Graduate Programs in Education and Post-Graduate Research
ERIC Educational Resources Information Center
Harwell, Michael
2018-01-01
The importance of data analysis software in graduate programs in education and post-graduate educational research is self-evident. However the role of this software in facilitating supererogated statistical practice versus "cookbookery" is unclear. The need to rigorously document the role of data analysis software in students' graduate…
Application of pedagogy reflective in statistical methods course and practicum statistical methods
NASA Astrophysics Data System (ADS)
Julie, Hongki
2017-08-01
Subject Elementary Statistics, Statistical Methods and Statistical Methods Practicum aimed to equip students of Mathematics Education about descriptive statistics and inferential statistics. The students' understanding about descriptive and inferential statistics were important for students on Mathematics Education Department, especially for those who took the final task associated with quantitative research. In quantitative research, students were required to be able to present and describe the quantitative data in an appropriate manner, to make conclusions from their quantitative data, and to create relationships between independent and dependent variables were defined in their research. In fact, when students made their final project associated with quantitative research, it was not been rare still met the students making mistakes in the steps of making conclusions and error in choosing the hypothetical testing process. As a result, they got incorrect conclusions. This is a very fatal mistake for those who did the quantitative research. There were some things gained from the implementation of reflective pedagogy on teaching learning process in Statistical Methods and Statistical Methods Practicum courses, namely: 1. Twenty two students passed in this course and and one student did not pass in this course. 2. The value of the most accomplished student was A that was achieved by 18 students. 3. According all students, their critical stance could be developed by them, and they could build a caring for each other through a learning process in this course. 4. All students agreed that through a learning process that they undergo in the course, they can build a caring for each other.
Hagen, Brad; Awosoga, Olu; Kellett, Peter; Dei, Samuel Ofori
2013-09-01
Undergraduate nursing students must often take a course in statistics, yet there is scant research to inform teaching pedagogy. The objectives of this study were to assess nursing students' overall attitudes towards statistics courses - including (among other things) overall fear and anxiety, preferred learning and teaching styles, and the perceived utility and benefit of taking a statistics course - before and after taking a mandatory course in applied statistics. The authors used a pre-experimental research design (a one-group pre-test/post-test research design), by administering a survey to nursing students at the beginning and end of the course. The study was conducted at a University in Western Canada that offers an undergraduate Bachelor of Nursing degree. Participants included 104 nursing students, in the third year of a four-year nursing program, taking a course in statistics. Although students only reported moderate anxiety towards statistics, student anxiety about statistics had dropped by approximately 40% by the end of the course. Students also reported a considerable and positive change in their attitudes towards learning in groups by the end of the course, a potential reflection of the team-based learning that was used. Students identified preferred learning and teaching approaches, including the use of real-life examples, visual teaching aids, clear explanations, timely feedback, and a well-paced course. Students also identified preferred instructor characteristics, such as patience, approachability, in-depth knowledge of statistics, and a sense of humor. Unfortunately, students only indicated moderate agreement with the idea that statistics would be useful and relevant to their careers, even by the end of the course. Our findings validate anecdotal reports on statistics teaching pedagogy, although more research is clearly needed, particularly on how to increase students' perceptions of the benefit and utility of statistics courses for their nursing careers. Crown Copyright © 2012. Published by Elsevier Ltd. All rights reserved.
Statistics used in current nursing research.
Zellner, Kathleen; Boerst, Connie J; Tabb, Wil
2007-02-01
Undergraduate nursing research courses should emphasize the statistics most commonly used in the nursing literature to strengthen students' and beginning researchers' understanding of them. To determine the most commonly used statistics, we reviewed all quantitative research articles published in 13 nursing journals in 2000. The findings supported Beitz's categorization of kinds of statistics. Ten primary statistics used in 80% of nursing research published in 2000 were identified. We recommend that the appropriate use of those top 10 statistics be emphasized in undergraduate nursing education and that the nursing profession continue to advocate for the use of methods (e.g., power analysis, odds ratio) that may contribute to the advancement of nursing research.
Can, Elif; Richter, Felicitas; Valchanova, Ralitsa; Dewey, Marc
2016-01-01
Objectives To identify underlying causes for failure of medical thesis projects and the constantly high drop-out rate in Germany from the supervisors' perspective and to compare the results with the students' perspective. Setting Cross-sectional survey. Online questionnaire for survey of medical thesis supervisors among the staff of Charité—Universitätsmedizin Berlin, Germany. Published, earlier longitudinal survey among students for comparison. Participants 1069 thesis supervisors participated. Data extraction and synthesis Data are presented using descriptive statistics, and the χ2 test served to compare the results among supervisors with the earlier data from the longitudinal survey of doctoral students. Primary and secondary outcomes Not applicable. This survey is an observational study. Results Of 3653 potential participants, 1069 (29.3%) supervising 3744 doctoral candidates participated in the study. Supervisors considered themselves to be highly motivated and to offer adequate supervision. On the other hand, 87% stated that they did not feel well prepared for thesis supervision. Supervisors gave lack of timeliness of doctoral students and personal differences (p=0.024 and p=0.001) as the main reasons for terminating thesis projects. Doctoral students predominantly mentioned methodological problems and difficult subjects as critical issues (p=0.001 and p<0.001). Specifically, students felt ill prepared for the statistical part of their research—49.5% stated that they never received statistical assistance, whereas 97% of supervisors claimed to help their students with statistical analysis. Conclusions The authors found that both thesis supervisors and medical students feel ill prepared for their roles in the process of a medical dissertation. Contradictory reasons for terminating medical thesis projects based on supervisors' and students' self-assessment suggest a lack of communication and true scientific collaboration between supervisors and doctoral students as the major underlying issue that requires resolution. PMID:27742631
Can, Elif; Richter, Felicitas; Valchanova, Ralitsa; Dewey, Marc
2016-10-14
To identify underlying causes for failure of medical thesis projects and the constantly high drop-out rate in Germany from the supervisors' perspective and to compare the results with the students' perspective. Cross-sectional survey. Online questionnaire for survey of medical thesis supervisors among the staff of Charité-Universitätsmedizin Berlin, Germany. Published, earlier longitudinal survey among students for comparison. 1069 thesis supervisors participated. Data are presented using descriptive statistics, and the χ 2 test served to compare the results among supervisors with the earlier data from the longitudinal survey of doctoral students. Not applicable. This survey is an observational study. Of 3653 potential participants, 1069 (29.3%) supervising 3744 doctoral candidates participated in the study. Supervisors considered themselves to be highly motivated and to offer adequate supervision. On the other hand, 87% stated that they did not feel well prepared for thesis supervision. Supervisors gave lack of timeliness of doctoral students and personal differences (p=0.024 and p=0.001) as the main reasons for terminating thesis projects. Doctoral students predominantly mentioned methodological problems and difficult subjects as critical issues (p=0.001 and p<0.001). Specifically, students felt ill prepared for the statistical part of their research-49.5% stated that they never received statistical assistance, whereas 97% of supervisors claimed to help their students with statistical analysis. The authors found that both thesis supervisors and medical students feel ill prepared for their roles in the process of a medical dissertation. Contradictory reasons for terminating medical thesis projects based on supervisors' and students' self-assessment suggest a lack of communication and true scientific collaboration between supervisors and doctoral students as the major underlying issue that requires resolution. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.
Strengths weaknesses opportunities and threats of blended learning: students' perceptions.
Hande, S
2014-05-01
Blended learning (BL) in a cell biology course of the premedical program at the Kasturba Medical College International Centre, Manipal, India, commenced in 2006. The program provides training in basic sciences to students, especially from the United States and Canada. The approach to the study was phenomenographic, with a qualitative study design using an open-ended questionnaire, focused interviews and empirical observations. The aim of this study was to identify the strengths, weaknesses, opportunities and threats (SWOT) of BL in a premedical class. It was a cross-sectional study. Ninety six students in a premedical cell biology class participated in the study. SWOT analysis of students' perceptions was conducted manually. Statistical analysis included content analysis of qualitative data to classify data and aligning them into the SWOT analysis matrix. The outcomes of the study revealed student perceptions in terms of SWOT of BL and the potential uses of this strategy. The study provides background for educators and curriculum experts to plan their modules while incorporating a BL approach.
[The impact of social and hygienic lifestyle factors on health status of students].
Sakharova, O B; Kiku, P F; Gorborukova, T V
2012-01-01
The complex estimation of the impact of socio-hygienic lifestyle factors on the health of students has been performed. In the work the data of sociological analysis (questionnaire), the methods of multivariate statistics (correlation, regression analysis, method of correlation pleiades by P. V. Terentiev) were used. Among the analyzed components the average monthly income was found to make the greatest contribution of the health state and physical capacity of the studied contingent of students. The influence of this factor is most pronounced in a group of students with an average wealth. The quality of nutrition and the mode of life depend on the level of material well-being of students. Students with a deficiency or excess body weight are more susceptible to the effects of such lifestyle factors such as nutrition, physical activity, bad habits and prosperity.
Development of chemistry attitudes and experiences questionnaire (CAEQ)
NASA Astrophysics Data System (ADS)
Dalgety, Jacinta; Coll, Richard K.; Jones, Alister
2003-09-01
In this article we describe the development of the Chemistry Attitudes and Experiences Questionnaire (CAEQ) that measures first-year university chemistry students' attitude toward chemistry, chemistry self-efficacy, and learning experiences. The instrument was developed as part of a larger study and sought to fulfill a need for an instrument to investigate factors that influence student enrollment choice. We set out to design the instrument in a manner that would maximize construct validity. The CAEQ was piloted with a cohort of science and technology students (n = 129) at the end of their first year. Based on statistical analysis the instrument was modified and subsequently administered on two occasions at two tertiary institutions (n = 669). Statistical data along with additional data gathered from interviews suggest that the CAEQ possesses good construct validity and will prove a useful tool for tertiary level educators who wish to gain an understanding of factors that influence student choice of chemistry enrolment.
NASA Astrophysics Data System (ADS)
Beam, Margery Elizabeth
The combination of increasing enrollment and the importance of providing transfer students a solid foundation in science calls for science faculty to evaluate teaching methods in rural community colleges. The purpose of this study was to examine and compare the effectiveness of two teaching methods, inquiry teaching methods and didactic teaching methods, applied in a rural community college earth science course. Two groups of students were taught the same content via inquiry and didactic teaching methods. Analysis of quantitative data included a non-parametric ranking statistical testing method in which the difference between the rankings and the median of the post-test scores was analyzed for significance. Results indicated there was not a significant statistical difference between the teaching methods for the group of students participating in the research. The practical and educational significance of this study provides valuable perspectives on teaching methods and student learning styles in rural community colleges.
American Music Therapy Association
... late October, 2017. Robin spoke to Miami University students, senior citizens, and children at a local school, ... be found in AMTA's annually published "AMTA Member Survey and Workforce Analysis, A Descriptive Statistical Profile of ...
ERIC Educational Resources Information Center
Davis, Ashley; Mirick, Rebecca G.
2015-01-01
Many social work students feel anxious when taking a statistics course. Their attitudes, beliefs, and behaviors after learning statistics are less known. However, such information could help instructors support students' ongoing development of statistical knowledge. With a sample of MSW students (N = 101) in one program, this study examined…
Shams, Assadollah; Yarmohammadian, Mohammad Hosein; Abbarik, Hadi Hayati
2012-01-01
Today, the challenges of quality improvement and customer focus as well as systems development are important and inevitable matters in higher education institutes. There are some highly competitive challenges among educational institutes, including accountability to social needs, increasing costs of education, diversity in educational methods and centers and their consequent increasing competition, and the need for adaptation of new information and knowledge to focus on students as the main customers. Hence, the purpose of this study was to determine the rate of costumer focus based on Isfahan University of Medical Sciences students' viewpoints and to suggest solutions to improve this rate. This was a cross-sectional study carried out in 2011. The statistical population included all the students of seven faculties of Isfahan University of Medical Sciences. According to statistical formulae, the sample size consisted of 384 subjects. Data collection tools included researcher-made questionnaire whose reliability was found to be 87% by Cronbach's alpha coefficient. Finally, using the SPSS statistical software and statistical methods of independent t-test and one-way analysis of variance (ANOVA), Likert scale based data were analyzed. The mean of overall score for customer focus (student-centered) of Isfahan University of Medical Sciences was 46.54. Finally, there was a relation between the mean of overall score for customer focus and gender, educational levels, and students' faculties. Researcher suggest more investigation between Medical University and others. It is a difference between medical sciences universities and others regarding the customer focus area, since students' gender must be considered as an effective factor in giving healthcare services quality. In order to improve the customer focus, it is essential to take facilities, field of study, faculties, and syllabus into consideration.
Social Networks, Engagement and Resilience in University Students.
Fernández-Martínez, Elena; Andina-Díaz, Elena; Fernández-Peña, Rosario; García-López, Rosa; Fulgueiras-Carril, Iván; Liébana-Presa, Cristina
2017-12-01
Analysis of social networks may be a useful tool for understanding the relationship between resilience and engagement, and this could be applied to educational methodologies, not only to improve academic performance, but also to create emotionally sustainable networks. This descriptive study was carried out on 134 university students. We collected the network structural variables, degree of resilience (CD-RISC 10), and engagement (UWES-S). The computer programs used were excel, UCINET for network analysis, and SPSS for statistical analysis. The analysis revealed results of means of 28.61 for resilience, 2.98 for absorption, 4.82 for dedication, and 3.13 for vigour. The students had two preferred places for sharing information: the classroom and WhatsApp. The greater the value for engagement, the greater the degree of centrality in the friendship network among students who are beginning their university studies. This relationship becomes reversed as the students move to later academic years. In terms of resilience, the highest values correspond to greater centrality in the friendship networks. The variables of engagement and resilience influenced the university students' support networks.
Analysis of Two Methods to Evaluate Antioxidants
ERIC Educational Resources Information Center
Tomasina, Florencia; Carabio, Claudio; Celano, Laura; Thomson, Leonor
2012-01-01
This exercise is intended to introduce undergraduate biochemistry students to the analysis of antioxidants as a biotechnological tool. In addition, some statistical resources will also be used and discussed. Antioxidants play an important metabolic role, preventing oxidative stress-mediated cell and tissue injury. Knowing the antioxidant content…
Effect of Table Tennis Trainings on Biomotor Capacities in Boys
ERIC Educational Resources Information Center
Tas, Murat
2017-01-01
The aim of this study is to investigate whether the biomotor capacities of boys doing table tennis trainings are affected. A total of 40 students, as randomly selected 20 test groups and 20 control groups at an age range of 10-12 participated in the research. Statistical analysis of data was performed using Statistic Package for Social Science…
Statistics: The Shape of the Data. Used Numbers: Real Data in the Classroom. Grades 4-6.
ERIC Educational Resources Information Center
Russell, Susan Jo; Corwin, Rebecca B.
A unit of study that introduces collecting, representing, describing, and interpreting data is presented. Suitable for students in grades 4 through 6, it provides a foundation for further work in statistics and data analysis. The investigations may extend from one to four class sessions and are grouped into three parts: "Introduction to Data…
ERIC Educational Resources Information Center
Long, Thomas E.
In this institute, the participants were trained to use peripheral computer related equipment. They were taught Fortran programming skills so they might write and redimension statistical formulary programs, and they were trained to assemble data so they might access computers via both card and punched-tape input. The objectives of the Institute…
ERIC Educational Resources Information Center
Brunelli, Lina, Ed.; Cicchitelli, Giuseppe, Ed.
This volume contains papers on computing and television as well as on the rapidly growing area of electronic communication among teachers and between teachers and students. Data analysis is now an important strand in school curricula in many nations. Many of the contributors discuss statistics in the schools from various perspectives. University…
ERIC Educational Resources Information Center
Widiana, I. Wayan; Jampel, I. Nyoman
2016-01-01
This study aimed to find out the effect of learning model and form of assessment toward inferential statistical achievement after controlling numeric thinking skills. This study was quasi experimental study with 130 students as the sample. The data analysis used ANCOVA. After controlling numeric thinking skills, the result of this study show that:…
ERIC Educational Resources Information Center
Hashim, Mohamad Hisyam Mohd
2012-01-01
In this paper, we describe the introduction of blogs to a class of Masters in Technical and Vocational Education students taking the MBE 1223 Statistics in Education module in Universiti Tun Hussein Onn Malaysia (UTHM). The purpose of the analysis is to elaborate on the perception of the participants towards blogs before, during and after training…
Allen, Peter J.; Dorozenko, Kate P.; Roberts, Lynne D.
2016-01-01
Quantitative research methods are essential to the development of professional competence in psychology. They are also an area of weakness for many students. In particular, students are known to struggle with the skill of selecting quantitative analytical strategies appropriate for common research questions, hypotheses and data types. To begin understanding this apparent deficit, we presented nine psychology undergraduates (who had all completed at least one quantitative methods course) with brief research vignettes, and asked them to explicate the process they would follow to identify an appropriate statistical technique for each. Thematic analysis revealed that all participants found this task challenging, and even those who had completed several research methods courses struggled to articulate how they would approach the vignettes on more than a very superficial and intuitive level. While some students recognized that there is a systematic decision making process that can be followed, none could describe it clearly or completely. We then presented the same vignettes to 10 psychology academics with particular expertise in conducting research and/or research methods instruction. Predictably, these “experts” were able to describe a far more systematic, comprehensive, flexible, and nuanced approach to statistical decision making, which begins early in the research process, and pays consideration to multiple contextual factors. They were sensitive to the challenges that students experience when making statistical decisions, which they attributed partially to how research methods and statistics are commonly taught. This sensitivity was reflected in their pedagogic practices. When asked to consider the format and features of an aid that could facilitate the statistical decision making process, both groups expressed a preference for an accessible, comprehensive and reputable resource that follows a basic decision tree logic. For the academics in particular, this aid should function as a teaching tool, which engages the user with each choice-point in the decision making process, rather than simply providing an “answer.” Based on these findings, we offer suggestions for tools and strategies that could be deployed in the research methods classroom to facilitate and strengthen students' statistical decision making abilities. PMID:26909064
Allen, Peter J; Dorozenko, Kate P; Roberts, Lynne D
2016-01-01
Quantitative research methods are essential to the development of professional competence in psychology. They are also an area of weakness for many students. In particular, students are known to struggle with the skill of selecting quantitative analytical strategies appropriate for common research questions, hypotheses and data types. To begin understanding this apparent deficit, we presented nine psychology undergraduates (who had all completed at least one quantitative methods course) with brief research vignettes, and asked them to explicate the process they would follow to identify an appropriate statistical technique for each. Thematic analysis revealed that all participants found this task challenging, and even those who had completed several research methods courses struggled to articulate how they would approach the vignettes on more than a very superficial and intuitive level. While some students recognized that there is a systematic decision making process that can be followed, none could describe it clearly or completely. We then presented the same vignettes to 10 psychology academics with particular expertise in conducting research and/or research methods instruction. Predictably, these "experts" were able to describe a far more systematic, comprehensive, flexible, and nuanced approach to statistical decision making, which begins early in the research process, and pays consideration to multiple contextual factors. They were sensitive to the challenges that students experience when making statistical decisions, which they attributed partially to how research methods and statistics are commonly taught. This sensitivity was reflected in their pedagogic practices. When asked to consider the format and features of an aid that could facilitate the statistical decision making process, both groups expressed a preference for an accessible, comprehensive and reputable resource that follows a basic decision tree logic. For the academics in particular, this aid should function as a teaching tool, which engages the user with each choice-point in the decision making process, rather than simply providing an "answer." Based on these findings, we offer suggestions for tools and strategies that could be deployed in the research methods classroom to facilitate and strengthen students' statistical decision making abilities.
NASA Astrophysics Data System (ADS)
Syahrom, N. S.; Nasrudin, N. S.; Mohamad Yasin, N.; Azlan, N.; Manap, N.
2017-08-01
It has been reported that students are already accumulating substantial debt from higher education fees and their spending habit are at a critical stage. These situations cause the youngsters facing bankruptcy if they cannot improve their saving habit. Many researches have acknowledged that the determinants of saving habit include financial management, parental socialization, peer influence, and self-control. However, there remains a need for investigating the relationship between these determinants in order to avoid bankruptcy among youngsters. The objectives of this study are to investigate the relationship between saving habit determinants and to generate a statistical model based on the determinants of saving habit. Data collection method used is questionnaire and its scope is undergraduate students of UiTM Negeri Sembilan, Kampus Seremban. Samples are chosen by using stratified probability sampling technique and cross-sectional method is used as the research design. The results are then analysed by using descriptive analysis, reliability test, Pearson Correlation, and Multiple Linear Regression analysis. It shows that saving habit and self-control has no relationship. It means that students with less self-control tend to save less. A statistical model has been generated that incorporated this relationship. This study is significant to help the students save more by having high self-control.
Skaalvik, Mari Wolff; Normann, Hans Ketil; Henriksen, Nils
2011-08-01
To measure nursing students' experiences and satisfaction with their clinical learning environments. The primary interest was to compare the results between students with respect to clinical practice in nursing homes and hospital wards. Clinical learning environments are important for the learning processes of nursing students and for preferences for future workplaces. Working with older people is the least preferred area of practice among nursing students in Norway. A cross-sectional design. A validated questionnaire was distributed to all nursing students from five non-randomly selected university colleges in Norway. A total of 511 nursing students completed a Norwegian version of the questionnaire, Clinical Learning Environment, Supervision and Nurse Teacher (CLES+T) evaluation scale in 2009. Data including descriptive statistics were analysed using the Statistical Program for the Social Sciences. Factor structure was analysed by principal component analysis. Differences across sub-groups were tested with chi-square tests and Mann-Whitney U test for categorical variables and t-tests for continuous variables. Ordinal logistic regression analysis of perceptions of the ward as a good learning environment was performed with supervisory relationships and institutional contexts as independent variables, controlling for age, sex and study year. The participating nursing students with clinical placements in nursing homes assessed their clinical learning environment significantly more negatively than those with hospital placements on nearby all sub-dimensions. The evidence found in this study indicates that measures should be taken to strengthen nursing homes as learning environments for nursing students. To recruit more graduated nurses to work in nursing homes, actions to improve the learning environment are needed. © 2011 Blackwell Publishing Ltd.
ERIC Educational Resources Information Center
Kadhi, T.; Holley, D.; Garrison, P.; Green, T.
2010-01-01
The following report of descriptive/inferential statistics describes the population of students receiving the Thurgood Marshall School of Law (TMSL) scholarship versus those who do not and their relationship with student Bar Passing rate and GPA. The timeline observed are the calendar years of 2005-2009. Data collection and analysis for this…
ERIC Educational Resources Information Center
Bond, Marjorie E.; Perkins, Susan N.; Ramirez, Caroline
2012-01-01
Although statistics education research has focused on students' learning and conceptual understanding of statistics, researchers have only recently begun investigating students' perceptions of statistics. The term perception describes the overlap between cognitive and non-cognitive factors. In this mixed-methods study, undergraduate students…
NASA Astrophysics Data System (ADS)
Delahoyde, Theresa
Nursing education is experiencing a generational phenomenon with student enrollment spanning three generations. Classrooms of the 21st century include the occasional Baby Boomer and a large number of Generation X and Generation Y students. Each of these generations has its own unique set of characteristics that have been shaped by values, trends, behaviors, and events in society. These generational characteristics create vast opportunities to learn, as well as challenges. One such challenge is the use of teaching methods that are congruent with nursing student preferences. Although there is a wide range of studies conducted on student learning styles within the nursing education field, there is little research on the preferred teaching methods of nursing students. The purpose of this quantitative, descriptive study was to compare the preferred teaching methods of multi-generational baccalaureate nursing students with faculty use of teaching methods. The research study included 367 participants; 38 nursing faculty and 329 nursing students from five different colleges within the Midwest region. The results of the two-tailed t-test found four statistically significant findings between Generation X and Y students and their preferred teaching methods including; lecture, listening to the professor lecture versus working in groups; actively participating in group discussion; and the importance of participating in group assignments. The results of the Analysis of Variance (ANOVA) found seventeen statistically significant findings between levels of students (freshmen/sophomores, juniors, & seniors) and their preferred teaching methods. Lecture was found to be the most frequently used teaching method by faculty as well as the most preferred teaching method by students. Overall, the support for a variety of teaching methods was also found in the analysis of data.
Rossignol, Lisa
2015-01-01
A census of 43 third-year medical students at the University of New Mexico School of Medicine participated in Parents Reaching Out: Families as Faculty program during their pediatric rotation. Analysis of variance revealed statistical significance for the factor "appropriate disclosure" (meaning students have become more sensitive to the level of intimacy that the other person is seeking and the student is willing to offer more information). There was a positive correlation between pretest and posttests in social experience, wit, and social confirmation.
NASA Astrophysics Data System (ADS)
Bursztyn, N.; Walker, A.; Shelton, B.; Pederson, J. L.
2015-12-01
Geoscience educators have long considered field trips to be the most effective way of attracting students into the discipline. A solution for bringing student-driven, engaging, kinesthetic field experiences to a broader audience lies in ongoing advances in mobile-communication technology. This NSF-TUES funded project developed three virtual field trip experiences for smartphones and tablets (on geologic time, geologic structures, and hydrologic processes), and then tested their performance in terms of student interest in geoscience as well as gains in learning. The virtual field trips utilize the GPS capabilities of smartphones and tablets, requiring the students to navigate outdoors in the real world while following a map on their smart device. This research, involving 873 students at five different college campuses, used analysis of covariance (ANCOVA) and multiple regression for statistical methods. Gains in learning across all participants are minor, and not statistically different between intervention and control groups. Predictors of gains in content comprehension for all three modules are the students' initial interest in the subject and their base level knowledge. For the Geologic Time and Structures modules, being a STEM major is an important predictor of student success. Most pertinent for this research, for Geologic Time and Hydrologic Processes, gains in student learning can be predicted by having completed those particular virtual field trips. Gender and race had no statistical impact, indicating that the virtual field trip modules have broad reach across student demographics. In related research, these modules have been shown to increase student interest in the geosciences more definitively than the learning gains here. Thus, future work should focus on improving the educational impact of mobile-device field trips, as their eventual incorporation into curricula is inevitable.
Applications of "Integrated Data Viewer'' (IDV) in the classroom
NASA Astrophysics Data System (ADS)
Nogueira, R.; Cutrim, E. M.
2006-06-01
Conventionally, weather products utilized in synoptic meteorology reduce phenomena occurring in four dimensions to a 2-dimensional form. This constitutes a road-block for non-atmospheric-science majors who need to take meteorology as a non-mathematical and complementary course to their major programs. This research examines the use of Integrated Data Viewer-IDV as a teaching tool, as it allows a 4-dimensional representation of weather products. IDV was tested in the teaching of synoptic meteorology, weather analysis, and weather map interpretation to non-science students in the laboratory sessions of an introductory meteorology class at Western Michigan University. Comparison of student exam scores according to the laboratory teaching techniques, i.e., traditional lab manual and IDV was performed for short- and long-term learning. Results of the statistical analysis show that the Fall 2004 students in the IDV-based lab session retained learning. However, in the Spring 2005 the exam scores did not reflect retention in learning when compared with IDV-based and MANUAL-based lab scores (short term learning, i.e., exam taken one week after the lab exercise). Testing the long-term learning, seven weeks between the two exams in the Spring 2005, show no statistically significant difference between IDV-based group scores and MANUAL-based group scores. However, the IDV group obtained exam score average slightly higher than the MANUAL group. Statistical testing of the principal hypothesis in this study, leads to the conclusion that the IDV-based method did not prove to be a better teaching tool than the traditional paper-based method. Future studies could potentially find significant differences in the effectiveness of both manual and IDV methods if the conditions had been more controlled. That is, students in the control group should not be exposed to the weather analysis using IDV during lecture.
Research design and statistical methods in Pakistan Journal of Medical Sciences (PJMS).
Akhtar, Sohail; Shah, Syed Wadood Ali; Rafiq, M; Khan, Ajmal
2016-01-01
This article compares the study design and statistical methods used in 2005, 2010 and 2015 of Pakistan Journal of Medical Sciences (PJMS). Only original articles of PJMS were considered for the analysis. The articles were carefully reviewed for statistical methods and designs, and then recorded accordingly. The frequency of each statistical method and research design was estimated and compared with previous years. A total of 429 articles were evaluated (n=74 in 2005, n=179 in 2010, n=176 in 2015) in which 171 (40%) were cross-sectional and 116 (27%) were prospective study designs. A verity of statistical methods were found in the analysis. The most frequent methods include: descriptive statistics (n=315, 73.4%), chi-square/Fisher's exact tests (n=205, 47.8%) and student t-test (n=186, 43.4%). There was a significant increase in the use of statistical methods over time period: t-test, chi-square/Fisher's exact test, logistic regression, epidemiological statistics, and non-parametric tests. This study shows that a diverse variety of statistical methods have been used in the research articles of PJMS and frequency improved from 2005 to 2015. However, descriptive statistics was the most frequent method of statistical analysis in the published articles while cross-sectional study design was common study design.
A Comparison of the Achievement of Statistics Students Enrolled in Online and Face-to-Face Settings
ERIC Educational Resources Information Center
Christmann, Edwin P.
2017-01-01
This study compared the achievement of male and female students who were enrolled in an online univariate statistics course to students enrolled in a traditional face-to-face univariate statistics course. The subjects, 47 graduate students enrolled in univariate statistics classes at a public, comprehensive university, were randomly assigned to…
Flowing toward Correct Contributions during Group Problem Solving: A Statistical Discourse Analysis
ERIC Educational Resources Information Center
Chiu, Ming Ming
2008-01-01
Groups that created more correct ideas (correct contributions or CCs) might be more likely to solve a problem, and students' recent actions (micro-time context) might aid CC creation. 80 high school students worked in groups of 4 on an algebra problem. Groups with higher mathematics grades or more CCs were more likely to solve the problem. Dynamic…
ERIC Educational Resources Information Center
Chen, Xianglei
2016-01-01
Every year, millions of new college students arrive on campus lacking the necessary academic skills to perform at the college level. Postsecondary institutions address this problem with extensive remedial programs designed to strengthen students' basic skills. While much research on the effectiveness of remedial education has been conducted,…
ERIC Educational Resources Information Center
Staklis, Sandra; Horn, Laura
2012-01-01
This Statistics in Brief describes the undergraduate experiences of students who immigrated to the United States or who had at least one immigrant parent (second-generation Americans). The analysis compares these two groups with all undergraduates (excluding foreign students) and with third-or higher generation American undergraduates whose…
ERIC Educational Resources Information Center
Gliddon, C. M.; Rosengren, R. J.
2012-01-01
This article describes a 13-week laboratory course called Human Toxicology taught at the University of Otago, New Zealand. This course used a guided inquiry based laboratory coupled with formative assessment and collaborative learning to develop in undergraduate students the skills of problem solving/critical thinking, data interpretation and…
ERIC Educational Resources Information Center
Van Duzer, Eric
2011-01-01
This report introduces a short, hands-on activity that addresses a key challenge in teaching quantitative methods to students who lack confidence or experience with statistical analysis. Used near the beginning of the course, this activity helps students develop an intuitive insight regarding a number of abstract concepts which are key to…
ERIC Educational Resources Information Center
Artinian, Vrej-Armen
An extensive investigation of elementary school classrooms was conducted through the collection and statistical analysis of student and teacher responses to questions concerning the educational environment. Several asepcts of the classroom are discussed, including the spatial, thermal, luminous, and aural environments. Questions were organized so…
ERIC Educational Resources Information Center
Elpus, Kenneth
2013-01-01
This study examined the college entrance examination scores of music and non-music students in the United States, drawing data from the restricted-use data set of the Education Longitudinal Study of 2002 (ELS), a nationally representative education study ("N" = 15,630) conducted by the National Center for Education Statistics. Analyses…
The Health of College Students in Moscow: An Analysis of Self-Preservation Behavior
ERIC Educational Resources Information Center
Ivakhnenko, G. A.
2007-01-01
Given the difficult social and economic situation in Russia, the lives and health of young people are getting increasingly worse, as can be seen from the data of state statistics. In this article, the author investigates the self-preservation aspect of the health of college students. The health of any social-demographic group has two…
Issues with PISA's Use of Its Data in the Context of International Education Policy Convergence
ERIC Educational Resources Information Center
Murphy, Dan
2014-01-01
In its analysis of data it collected in 2006, the Programme for International Student Assessment (PISA) survey by the Organisation for Economic Co-operation and Development (OECD) used a variety of statistical methods to arrive at the 'key findings' that school autonomy, school competition and the public posting of student achievement data were…
ERIC Educational Resources Information Center
Carter, Jackie; Brown, Mark; Simpson, Kathryn
2017-01-01
In British social science degree programmes, methods courses have a bad press, and statistics courses in particular are not well-liked by most students. A nationally-coordinated, strategic investment in quantitative skills training, Q-Step, is an attempt to address the issues affecting the shortage of quantitatively trained humanities and social…
ERIC Educational Resources Information Center
Lesser, Lawrence M.; Wagler, Amy E.; Salazar, Berenice
2016-01-01
English language learners (ELLs) are a rapidly growing part of the student population in many countries. Studies on resources for language learners--especially Spanish-speaking ELLs--have focused on areas such as reading, writing, and mathematics, but not introductory probability and statistics. Semi-structured qualitative interviews investigated…
ERIC Educational Resources Information Center
Horne, Lela M.; Rachal, John R.; Shelley, Kyna
2012-01-01
A mixed methods framework utilized quantitative and qualitative data to determine whether statistically significant differences existed between high school and GED[R] student perceptions of credential value. An exploratory factor analysis (n=326) extracted four factors and then a MANOVA procedure was performed with a stratified quota sample…
Nursing EDGE: evaluating delegation guidelines in education.
Henderson, Deborah; Sealover, Pamela; Sharrer, Vicki; Fusner, Sally; Jones, Sandy; Sweet, Stacie; Blake, Tim
2006-01-01
Delegation, an important concept for nursing students to learn and practice, is central to registered nurse (RN) performance, and important on the NCLEX-RN examination. Nursing faculty members from an ADN program designed a descriptive study to evaluate planned versus actual delegation in the curriculum, and a second study to evaluate an intervention on delegation. Study One assessed the presence of delegation in each nursing course. Statistical analysis compared the planned implementation with the results for student definitions of delegation, and identification of the five rights of delegation based on the National Council of State Boards of Nursing (NCSBN) definition and five rights. Study one results are shared. Study Two utilized a comparison of pre-to-post intervention measures. Students were asked to complete eight steps of a delegation exercise and determine what could be delegated to an unlicensed assistant, and what should be completed by the RN. Answers were coded and entered into SPSS. Statistical analysis compared each student's ability to correctly identify the five rights of delegation prior to the exercise, against the ability to correctly answer five questions two weeks post exercise. Significant improvement (p< 0.05) occurred on each measure. Recommendations are discussed.
Test anxiety and academic performance in chiropractic students.
Zhang, Niu; Henderson, Charles N R
2014-01-01
Objective : We assessed the level of students' test anxiety, and the relationship between test anxiety and academic performance. Methods : We recruited 166 third-quarter students. The Test Anxiety Inventory (TAI) was administered to all participants. Total scores from written examinations and objective structured clinical examinations (OSCEs) were used as response variables. Results : Multiple regression analysis shows that there was a modest, but statistically significant negative correlation between TAI scores and written exam scores, but not OSCE scores. Worry and emotionality were the best predictive models for written exam scores. Mean total anxiety and emotionality scores for females were significantly higher than those for males, but not worry scores. Conclusion : Moderate-to-high test anxiety was observed in 85% of the chiropractic students examined. However, total test anxiety, as measured by the TAI score, was a very weak predictive model for written exam performance. Multiple regression analysis demonstrated that replacing total anxiety (TAI) with worry and emotionality (TAI subscales) produces a much more effective predictive model of written exam performance. Sex, age, highest current academic degree, and ethnicity contributed little additional predictive power in either regression model. Moreover, TAI scores were not found to be statistically significant predictors of physical exam skill performance, as measured by OSCEs.
Peer teaching experience of the first year medical students from Turkey.
Cansever, Zeliha; Avsar, Zeynep; Cayir, Yasemin; Acemoglu, Hamit
2015-02-01
To document peer teaching activity performed by first-year medical students and their views on the teaching activity. Survey. Medical Education Department, Ataturk University, Erzurum, Turkey, in the 2012 - 2013 academic year. Volunteer students were selected for peer teaching model by an academician from the Medical Education Department. Students were taught subjects selected from classes such as biochemistry and microbiology in the same way as the academicians do. Following each class activity, the teaching student was assessed by the other students on a 5-point rating scale. Written and verbal feedback was also obtained from both teaching students and participated students. Verbal feedbacks were noted by a faculty member and similar opinions were categorized. Data were analyzed by SPSS version 20 statistical program. Eleven students took part in the program. Feedback was received from students 171 times. The mean number of students participated was 24.4 ± 14.3 in each program. Statistical analysis revealed that mean value for teaching materials, peer instructors and teaching environment were 4.62 ± 0.49, 4.63 ± 0.47 and 3.88 ± 1. 27 respectively. Peer teaching method is a pretty good way of teaching for medical students. It is a practicable technique that can be used in medical training. Taking part in this program as a lecturer, student increased students' self-confidence in the learning and teaching activities. Quite positive feedbacks were received.
Moshki, M; Ashtarian, H
2010-01-01
Background: Health locus of control (HLC) has been associated with a variety of ailments and health outcomes and designed to predict behaviors and cognitive processes relevant to mental and physical health. This study investigated the relationships between perceived health locus of control, self-esteem, and mental health status among Iranian students. Methods: In this analytical study the subjects were recruited from students in Gonabad University of Medical Sciences, Iran, who studied in the first year (N=154). Students completed the questionnaires for assessing demographic, perceived health locus of control, self - esteem and psychological well- being data. Results: The statistical analysis revealed a negative relationship between perceived Internal HLC and self-esteem with psychological well-being. The positive correlation of the perceived Chance HLC with psychological well-being was statistically significant (r= 0.21, P< 0.01) and the positive correlation of the perceived Internal HLC with self-esteem was statistically significant (r= 0.25, P< 0.01). A significantly direct relationship between low perceived Internal HLC, self–esteem and psychological problems was found among these students. Conclusion: The findings will be addressed in relation to their implications for effective mental health education based on health locus of control especially internal and powerful others beliefs associated with self-esteem for students. This will require additional monitoring and uninterrupted trying in order to be effective. PMID:23113040
A persuasive concept of research-oriented teaching in Soil Biochemistry
NASA Astrophysics Data System (ADS)
Blagodatskaya, Evgenia; Kuzyakova, Irina
2013-04-01
One of the main problems of existing bachelor programs is disconnection of basic and experimental education: even during practical training the methods learned are not related to characterization of soil field experiments and observed soil processes. We introduce a multi-level research-oriented teaching system involving Bachelor students in four-semesters active study by integration the basic knowledge, experimental techniques, statistical approaches, project design and it's realization.The novelty of research-oriented teaching system is based 1) on linkage of ongoing experiment to the study of statistical methods and 2) on self-responsibility of students for interpretation of soil chemical and biochemical characteristics obtained in the very beginning of their study by analysing the set of soil samples allowing full-factorial data treatment. This experimental data set is related to specific soil stand and is used as a backbone of the teaching system accelerating the student's interest to soil studies and motivating them for application of basic knowledge from lecture courses. The multi-level system includes: 1) basic lecture course on soil biochemistry with analysis of research questions, 2) practical training course on laboratory analytics where small groups of students are responsible for analysis of soil samples related to the specific land-use/forest type/forest age; 3) training course on biotic (e.g. respiration) - abiotic (e.g. temperature, moisture, fire etc.) interactions in the same soil samples; 4) theoretical seminars where students present and make a first attempt to explain soil characteristics of various soil stands as affected by abiotic factors (first semester); 5) lecture and seminar course on soil statistics where students apply newly learned statistical methods to prove their conclusions and to find relationships between soil characteristics obtained during first semester; 6) seminar course on project design where students develop their scientific projects to study the uncertainties revealed in soil responses to abiotic factors (second and third semesters); 7) Lecture, seminar and training courses on estimation of active microbial biomass in soil where students realize their projects applying a new knowledge to the soils from the stands they are responsible for (fourth semester). Thus, during four semesters the students continuously combine the theoretical knowledge from the lectures with their own experimental experience, compare and discuss results of various groups during seminars and obtain the skills in project design. The successful application of research-oriented teaching system in University of Göttingen allowed each student the early-stage revealing knowledge gaps, accelerated their involvement in ongoing research projects, and motivated them to begin own scientific career.
Rasch Based Analysis of Oral Proficiency Test Data.
ERIC Educational Resources Information Center
Nakamura, Yuji
2001-01-01
This paper examines the rating scale data of oral proficiency tests analyzed by a Rasch Analysis focusing on an item map and factor analysis. In discussing the item map, the difficulty order of six items and students' answering patterns are analyzed using descriptive statistics and measures of central tendency of test scores. The data ranks the…
KRAWIEC, STEVEN; SALTER, DIANE; KAY, EDWIN J.
2005-01-01
A basic bacteriology course was offered in two successive academic years, first in a conventional format and subsequently as a “hybrid” course. The latter combined (i) online presentation of content, (ii) an emphasis on online resources, (iii) thrice-weekly, face-to-face conversations to advance understanding, and (iv) frequent student postings on an electronic discussion board. We compared the two courses through statistical analysis of student performances on the final examinations and the course overall and student assessment of teaching. The data indicated that there was no statistical difference in performance on the final examinations or the course overall. Responses on an instrument of evaluation revealed that students less strongly affirmed the following measures in the hybrid course: (i) The amount of work was appropriate for the credit received, (ii) Interactions between students and instructor were positive, (iii) I learned a great deal in this course, and (iv) I would recommend this course to other students. We recommend clear direction about active learning tasks and relevant feedback to enhance learning in a hybrid course. PMID:23653558
Koontz, Nicholas A; Gunderman, Richard B
2012-04-01
This study assesses the effect on medical student understanding of a new radiobiology and radiation safety module in a fourth-year radiology clerkship. A dedicated radiobiology and radiation safety module was incorporated into the fourth-year medical school radiology clerkship at our institution. Student understanding of the material was assessed via pretest and posttest. Statistical analysis was performed to assess significance of changes in student performance. In addition, we surveyed student perceptions of the importance of this material in medical education and practice. Monthly pretest mean scores ranged from 47.8% to 55.6%, with an average monthly pretest score of 50.3%. Monthly posttest mean scores ranged from 77.3% to 91.2%, with an average monthly posttest score of 83.9%. The improvement in exam scores after the educational intervention was statistically significant (all P < .01). The introduction of a new educational module can significantly improve medical student understanding of radiobiology and radiation safety. Copyright © 2012 AUR. Published by Elsevier Inc. All rights reserved.
The Effect of a Student-Designed Data Collection: Project on Attitudes toward Statistics
ERIC Educational Resources Information Center
Carnell, Lisa J.
2008-01-01
Students often enter an introductory statistics class with less than positive attitudes about the subject. They tend to believe statistics is difficult and irrelevant to their lives. Observational evidence from previous studies suggests including projects in a statistics course may enhance students' attitudes toward statistics. This study examines…
An Interinstitutional Analysis of Faculty Teaching Load.
ERIC Educational Resources Information Center
Ahrens, Stephen W.
A two-year interinstitutional study among 15 cooperating universities was conducted to determine whether significant differences exist in teaching loads among the selected universities as measured by student credit hours produced by full-time equivalent faculty. The statistical model was a multivariate analysis of variance with fixed effects and…
DNA Fingerprinting in a Forensic Teaching Experiment
ERIC Educational Resources Information Center
Wagoner, Stacy A.; Carlson, Kimberly A.
2008-01-01
This article presents an experiment designed to provide students, in a classroom laboratory setting, a hands-on demonstration of the steps used in DNA forensic analysis by performing DNA extraction, DNA fingerprinting, and statistical analysis of the data. This experiment demonstrates how DNA fingerprinting is performed and how long it takes. It…
The Use of Online Modules and the Effect on Student Outcomes in a High School Chemistry Class
NASA Astrophysics Data System (ADS)
Lamb, Richard L.; Annetta, Len
2013-10-01
The purpose of the study was to review the efficacy of online chemistry simulations in a high school chemistry class and provide discussion of the factors that may affect student learning. The sample consisted of 351 high school students exposed to online simulations. Researchers administered a pretest, intermediate test and posttest to measure chemistry content knowledge acquired during the use of online chemistry laboratory simulations. The authors also analyzed student journal entries as an attitudinal measure of chemistry during the simulation experience. The four analyses conducted were Repeated Time Measures Analysis of Variance, a three-way Analysis of Variance, Logistic Regression and Multiple Analysis of Variance. Each of these analyses provides for a slightly different aspect of factors regarding student attitudes and outcomes. Results indicate that there is a statistically significant main effect across grouping type (experimental versus control, p = 0.042, α = 0.05). Analysis of student journal entries suggests that attitudinal factors may affect student outcomes concerning the use of online supplemental instruction. Implications for this study show that the use of online simulations promotes increased understanding of chemistry content through open-ended and interactive questioning.
Husbands, Adrian; Mathieson, Alistair; Dowell, Jonathan; Cleland, Jennifer; MacKenzie, Rhoda
2014-04-23
The UK Clinical Aptitude Test (UKCAT) was designed to address issues identified with traditional methods of selection. This study aims to examine the predictive validity of the UKCAT and compare this to traditional selection methods in the senior years of medical school. This was a follow-up study of two cohorts of students from two medical schools who had previously taken part in a study examining the predictive validity of the UKCAT in first year. The sample consisted of 4th and 5th Year students who commenced their studies at the University of Aberdeen or University of Dundee medical schools in 2007. Data collected were: demographics (gender and age group), UKCAT scores; Universities and Colleges Admissions Service (UCAS) form scores; admission interview scores; Year 4 and 5 degree examination scores. Pearson's correlations were used to examine the relationships between admissions variables, examination scores, gender and age group, and to select variables for multiple linear regression analysis to predict examination scores. Ninety-nine and 89 students at Aberdeen medical school from Years 4 and 5 respectively, and 51 Year 4 students in Dundee, were included in the analysis. Neither UCAS form nor interview scores were statistically significant predictors of examination performance. Conversely, the UKCAT yielded statistically significant validity coefficients between .24 and .36 in four of five assessments investigated. Multiple regression analysis showed the UKCAT made a statistically significant unique contribution to variance in examination performance in the senior years. Results suggest the UKCAT appears to predict performance better in the later years of medical school compared to earlier years and provides modest supportive evidence for the UKCAT's role in student selection within these institutions. Further research is needed to assess the predictive validity of the UKCAT against professional and behavioural outcomes as the cohort commences working life.
2014-01-01
Background The UK Clinical Aptitude Test (UKCAT) was designed to address issues identified with traditional methods of selection. This study aims to examine the predictive validity of the UKCAT and compare this to traditional selection methods in the senior years of medical school. This was a follow-up study of two cohorts of students from two medical schools who had previously taken part in a study examining the predictive validity of the UKCAT in first year. Methods The sample consisted of 4th and 5th Year students who commenced their studies at the University of Aberdeen or University of Dundee medical schools in 2007. Data collected were: demographics (gender and age group), UKCAT scores; Universities and Colleges Admissions Service (UCAS) form scores; admission interview scores; Year 4 and 5 degree examination scores. Pearson’s correlations were used to examine the relationships between admissions variables, examination scores, gender and age group, and to select variables for multiple linear regression analysis to predict examination scores. Results Ninety-nine and 89 students at Aberdeen medical school from Years 4 and 5 respectively, and 51 Year 4 students in Dundee, were included in the analysis. Neither UCAS form nor interview scores were statistically significant predictors of examination performance. Conversely, the UKCAT yielded statistically significant validity coefficients between .24 and .36 in four of five assessments investigated. Multiple regression analysis showed the UKCAT made a statistically significant unique contribution to variance in examination performance in the senior years. Conclusions Results suggest the UKCAT appears to predict performance better in the later years of medical school compared to earlier years and provides modest supportive evidence for the UKCAT’s role in student selection within these institutions. Further research is needed to assess the predictive validity of the UKCAT against professional and behavioural outcomes as the cohort commences working life. PMID:24762134
Enhancing Students' Ability to Use Statistical Reasoning with Everyday Problems
ERIC Educational Resources Information Center
Lawson, Timothy J.; Schwiers, Michael; Doellman, Maureen; Grady, Greg; Kelnhofer, Robert
2003-01-01
We discuss a technique for teaching students everyday applications of statistical concepts. We used this technique with students (n = 50) enrolled in several sections of an introductory statistics course; students (n = 45) in other sections served as a comparison group. A class of introductory psychology students (n = 24) served as a second…
NASA Astrophysics Data System (ADS)
Hudson, Ross D.; Treagust, David F.
2013-04-01
Background . This study developed from observations of apparent achievement differences between male and female chemistry performances in a state university entrance examination. Male students performed more strongly than female students, especially in higher scores. Apart from the gender of the students, two other important factors that might influence student performance were format of questions (short-answer or multiple-choice) and type of questions (recall or application). Purpose The research question addressed in this study was: Is there a relationship between performance in state university entrance examinations in chemistry and school chemistry examinations and student gender, format of questions - multiple-choice or short-answer, and conceptual level - recall or application? Sample The two sources of data were: (1) secondary analyses of five consecutive years' data published by the examining authority of chemistry examinations, and (2) tests conducted with 192 students which provided information about all aspects of the three variables (question format, question type and gender) under consideration. Design and methods Both sources of data were analysed using ANOVA to compare means for the variables under consideration and the statistical significance of any differences. The data from the tests were also analysed using Rasch analysis to determine differences in gender performance. Results When overall mean data are considered, both male and female students performed better on multiple-choice questions and recall questions than on short-answer questions and application questions, respectively. When overall mean data are considered, male students outperformed female students in both the university entrance and school tests, particularly in the higher scores. When data were analysed with Rasch, there was no statistically significant difference in performance between males and females of equal ability. Conclusions Both male and female students generally perform better on multiple-choice questions than they do on short-answer questions. However, when the questions are matched in terms of difficulty (using Rasch analysis), the differences in performance between multiple-choice and short-answer are quite small. Rasch analysis showed that there was little difference in performance between males and females of equal ability. This study shows that a simple face-value score analysis of relative student performance - in this case, in chemistry - can be deceptive unless the actual abilities of the students concerned, as measured by a tool such as Rasch, are taken into consideration before reaching any conclusion.
NASA Astrophysics Data System (ADS)
Wang, Jianjun; Wildman, Louis
A national data base from the Longitudinal Study of American Youth (LSAY) was employed to examine the effects of family commitment in education on student achievement in seventh grade science. The backward elimination procedure in the Statistical Analysis System (SAS) was adopted in this study to select significant variables of family commitment at = .05. The results show that around 22% of the variance in student science achievement can be explained by the selected significant LSAY variables. An analysis of the impact of family commitment seems to indicate that parental education and encouragement are important factors in the improvement of student achievement. However, educators, including school personnel and parents, should exercise caution regarding how they help students with their homework and how they reward students for good grades.Received: 14 June 1994; Revised: 31 October 1994;
Data Acquisition and Preprocessing in Studies on Humans: What Is Not Taught in Statistics Classes?
Zhu, Yeyi; Hernandez, Ladia M; Mueller, Peter; Dong, Yongquan; Forman, Michele R
2013-01-01
The aim of this paper is to address issues in research that may be missing from statistics classes and important for (bio-)statistics students. In the context of a case study, we discuss data acquisition and preprocessing steps that fill the gap between research questions posed by subject matter scientists and statistical methodology for formal inference. Issues include participant recruitment, data collection training and standardization, variable coding, data review and verification, data cleaning and editing, and documentation. Despite the critical importance of these details in research, most of these issues are rarely discussed in an applied statistics program. One reason for the lack of more formal training is the difficulty in addressing the many challenges that can possibly arise in the course of a study in a systematic way. This article can help to bridge this gap between research questions and formal statistical inference by using an illustrative case study for a discussion. We hope that reading and discussing this paper and practicing data preprocessing exercises will sensitize statistics students to these important issues and achieve optimal conduct, quality control, analysis, and interpretation of a study.
Perception on obesity among university students: A case study using factor analysis
NASA Astrophysics Data System (ADS)
Hassan, Suriani; Rahman, Nur Amira Abdol; Ghazali, Khadizah; Ismail, Norlita; Budin, Kamsia
2014-07-01
The purpose of this study was to examine the university students' perceptions on obesity and to compare the difference in mean scores factor based on demographic factors. Data was collected randomly using questionnaires. There were 321 university students participated in this study. Descriptive statistics, factor analysis, normality test, independent t test, one-way ANOVA and non-parametric tests were used in this study. Factor analysis results managed to retrieve three new factors namely impact of the health, impact of the physical appearance and personal factors. The study found that Science students have higher awareness and perceptions than Art students on Factor 1, impact of the health towards overweight problems and obesity. The findings of the study showed students, whose family background has obesity problem have higher awareness and perceptions than students' whose family background has no obesity problem on Factor 1, impact of the health towards overweight problems and obesity. The study also found that students' whose father with primary school level had the lowest awareness and perceptions on Factor 2, impact of the physical appearance towards overweight problems and obesity than other students whose father with higher academic level.
Crosta, Fernando; Nishiwaki-Dantas, Maria Cristina; Silvino, Wilmar; Dantas, Paulo Elias Correa
2005-01-01
To verify the frequency of study design, applied statistical analysis and approval by institutional review offices (Ethics Committee) of articles published in the "Arquivos Brasileiros de Oftalmologia" during a 10-year interval, with later comparative and critical analysis by some of the main international journals in the field of Ophthalmology. Systematic review without metanalysis was performed. Scientific papers published in the "Arquivos Brasileiros de Oftalmologia" between January 1993 and December 2002 were reviewed by two independent reviewers and classified according to the applied study design, statistical analysis and approval by the institutional review offices. To categorize those variables, a descriptive statistical analysis was used. After applying inclusion and exclusion criteria, 584 articles for evaluation of statistical analysis and, 725 articles for evaluation of study design were reviewed. Contingency table (23.10%) was the most frequently applied statistical method, followed by non-parametric tests (18.19%), Student's t test (12.65%), central tendency measures (10.60%) and analysis of variance (9.81%). Of 584 reviewed articles, 291 (49.82%) presented no statistical analysis. Observational case series (26.48%) was the most frequently used type of study design, followed by interventional case series (18.48%), observational case description (13.37%), non-random clinical study (8.96%) and experimental study (8.55%). We found a higher frequency of observational clinical studies, lack of statistical analysis in almost half of the published papers. Increase in studies with approval by institutional review Ethics Committee was noted since it became mandatory in 1996.
Alebel, Animut; Zegeye, Abriham; Tesfaye, Bekele
2018-01-01
Background Khat chewing has become a common practice among university students in developing countries like Ethiopia. It has a potential effect on physical, mental, social and cognitive aspects of student functioning. In Ethiopia, study findings regarding the prevalence of khat chewing were highly dispersed and inconsistent. Therefore, this systematic review and meta-analysis estimates the pooled prevalence of khat chewing and its predictors among Ethiopian university students. Method A systematic review and meta-analysis was conducted to assess the prevalence and predictors of khat chewing among university students in Ethiopia. We searched literature from the databases of PubMed, Google Scholar, Science Direct, and the Cochrane Library. A total of 24 Ethiopian studies reporting the prevalence of khat chewing among university students were included. Data were extracted using a standardized data extraction format prepared in Microsoft Excel and the analysis was done using STATA 14 statistical software. To assess heterogeneity, the Cochrane Q test statistics and I2 test were used. Since the included studies exhibit high heterogeneity, a random effect meta-analysis model was computed to estimate the pooled prevalence of khat chewing. Moreover, the association between predictor variables, and khat chewing practice were examined. Results The meta-analysis of 24 studies revealed that the pooled prevalence of khat chewing among university students in Ethiopia was 23.22% (95% CI: 19.5, 27.0). In the subgroup analysis, the highest prevalence was observed in Oromia region (31.6%; 95CI: 21.2, 41.9) whereas the lowest prevalence was observed in Amhara region (18.1%; 95%CI: 12.4, 23.8). Being male OR: 2.76 (95% CI 1.64, 4.63), family khat chewing practice OR: 2.91 (95% CI 1.06, 7.98), friend khat chewing habit OR: 4.74 (95% CI 3.48, 13.06), alcohol drinking OR: 7.06 (95% CI 5.65, 8.82) and cigarette smoking habit OR: 15.11 (95% CI 8.96, 25.51) were found to be predictors of khat chewing. Conclusion The study found that the prevalence of khat chewing among university students was quite common, with slightly more than 1 in 5 students engaging in the use of this substance. Being male, family khat chewing practice, friend’s khat chewing habit, alcohol drinking, and cigarette smoking were found to be predictors of khat chewing practice among university students. PMID:29649253
NASA Astrophysics Data System (ADS)
Maltese, Adam V.
While the number of Bachelor's degrees awarded annually has nearly tripled over the past 40 years (NSF, 2008), the same cannot be said for degrees in the STEM (science, technology, engineering and mathematics) fields. The Bureau of Labor Statistics projects that by the year 2014 the combination of new positions and retirements will lead to 2 million job openings in STEM (BLS, 2005). Thus, the research questions I sought to answer with this study were: (1)What are the most common enrollment patterns for students who enter into and exit from the STEM pipeline during high school and college? (2) Controlling for differences in student background and early interest in STEM careers, what are the high school science and mathematics classroom experiences that characterize student completion of a college major in STEM? Using data from NELS:88 I analyzed descriptive statistics and completed logistic regressions to gain an understanding of factors related to student persistence in STEM. Approximately 4700 students with transcript records and who participated in all survey rounds were included in the analyses. The results of the descriptive analysis demonstrated that most students who went on to complete majors in STEM completed at least three or four years of STEM courses during high school, and enrolled in advanced high school mathematics and science courses at higher rates. At almost every pipeline checkpoint indicators of the level of coursework and achievement were significant in predicting student completion of a STEM degree. The results also support previous research that showed demographic variables have little effect on persistence once the sample is limited to those who have the intrinsic ability and desire to complete a college degree. The most significant finding is that measures of student interest and engagement in science and mathematics were significant in predicting completion of a STEM degree, above and beyond the effects of course enrollment and performance. A final analysis, which involved the comparison of descriptive statistics for students who switched into and out of the STEM pipeline during high school, suggested that attitudes toward mathematics and science play a major role in choices regarding pipeline persistence.
Lou, Jiunn-Horng; Chen, Sheng-Hwang; Yu, Hsing-Yi; Li, Ren-Hau; Yang, Cheng-I; Eng, Cheng-Joo
2010-06-01
Understanding how male nursing students alleviate life stress during their academic career is conducive to their development as successful nursing professionals. This study was designed to understand the personality traits, social support, and life stresses of male nursing students. The respective influences of personality traits and social support on life stress were also explored. The study used a cross-sectional research design. A college in central Taiwan was targeted as the site for data collection. A total of 158 questionnaires were dispatched, with 145 valid copies returned (valid response rate = 91.7%). Structured questionnaires were designed to collect data on participant demographics, personality traits, social support, and life stress. Statistical methods such as descriptive statistics, one-way analysis of variance, and multiple regression analysis were applied to data analysis. Major findings of this study revealed that (a) in general, the personality traits, social support, and life stress of male nursing students scored in the medium to high range. Participants reported encountering more stress from learning and life goals than from interpersonal stress. (b) Male nursing student demographic variables (e.g., parent [father and mother considered separately] education level) and the personality traits of conscientiousness and family support, respectively, were found to impact significantly on participant life stress perceptions. And (c) the only significant predictors of life stress were support from family and education level of participant fathers and mothers, accounting for about 23.7% of variability. It is suggested that nursing students in each year of their academic career should be exposed to courses geared to reduce the life stress perceptions (especially in the areas of learning and career development) of male nursing students. Increased family support is an effective way to decrease male nursing student life stress. This study could be a reference for the design and application of strategies to reduce the perceived life stress of male nursing students.
Haile, Yohannes Gebreegziabhere; Alemu, Sisay Mulugeta; Habtewold, Tesfa Dejenie
2017-01-01
Common mental disorder (CMD) is prevalent in industrialized and non-industrialized countries. The prevalence of CMD among university students was 28.8-44.7% and attributed to several risk factors, such as schooling. The aim of this study was to assess the prevalence and risk factors of CMD. In addition, the association between CMD and academic performance was tested. Institution based cross-sectional study was conducted with 422 students at Debre Berhan university from March to April 2015. CMD was the primary outcome variable whereas academic performance was the secondary outcome variable. Kessler psychological distress (K10) scale was used to assess CMD. Bivariate and multiple logistic regression analysis were performed for modeling the primary outcome variable; independent samples T test and linear regression analysis were carried out for modeling the secondary outcome variable. The strength of association was interpreted using odds ratio and regression coefficient (β) and decision on statistical significance was made at a p value of 0.05. Data were entered using EPI-data version 3.1 software and analyzed using the Statistical Package for the Social Sciences (SPSS) version 20.01 software. The prevalence of CMD was 63.1%. Field of study (p = 0.008, OR = 0.2, 95% CI 0.04-0.61), worshiping (p = 0.04, OR = 1.8, 95% CI 1.02-3.35), insomnia (p < 0.001, OR = 3.8, 95% CI 2.21-6.57), alcohol drinking (p = 0.006, OR = 2.7, 95% CI 1.33-5.66), and headache (p = 0.02, OR = 2.1, 95% CI 1.10-3.86) were identified risk factors for CMD. The mean cumulative grade point average of students with CMD was lower by 0.02 compared to those without CMD, but not statistically significant (p = 0.70, β = -0.02, 95% CI -0.15 to 0.10). CMD explained only 0.8% (r 2 = 0.008) of the difference in academic performance between students. At least three out of five students fulfilled CMD diagnostic criteria. The statistically significant risk factors were field of study, worshiping, insomnia, alcohol drinking, and headache. Moreover, there was no statistically significant association between CMD and academic performance. Undertaking integrated evidence-based intervention focusing on students with poor sleep quality, poor physical health, and who drink alcohol is essential if the present finding confirmed by a longitudinal study.
ERIC Educational Resources Information Center
Osler, James Edward; Waden, Carl
2012-01-01
This paper provides an active discourse on the use of innovative solutions to conduct an in-depth investigation on the success and viability of 9th Grade Freshman Academies, Centers, and Center Models to aid in the retention of at risk students. These types of academic programs provide an active solution for the retention and projected completion…
ERIC Educational Resources Information Center
Kaufman, Phillip; Bradbury, Denise
1992-01-01
The National Education Longitudinal Study of 1988 (NELS:88) is a large-scale, national longitudinal study designed and sponsored by the National Center for Education Statistics (NCES), with support from other government agencies. Beginning in the spring of 1988 with a cohort of eighth graders (25,000) attending public and private schools across…
Assessment of dental student satisfaction with regard to process of thesis educational courses
Eslamipour, Faezeh; Noroozi, Zahra; Hosseinpour, Kobra
2015-01-01
Introduction: Ensuring achievement of research experience by students is one of the most important goals of the thesis-conduction process and evaluation of student satisfaction with this process is one of the most imperative challenges herein. Aims: The aim of this study is to investigate the satisfaction of dental students passing the thesis educational course from the Isfahan Dental School. Settings and Design: Sixty-two dental students who had graduated in2011, from the Isfahan Dental School, participated in this descriptive cross-sectional study Materials and Methods: The postgraduate Research Experience Questionnaire (PREQ) was used for data collection. The questionnaire evaluated student satisfaction in seven domains: Thesis supervision, skill development, intellectual climate, infrastructure, thesis examination, goals and expectations, and overall satisfaction. Statistical Analysis Used: The data were analyzed on an SPSS software using descriptive and inferential statistics. Results: The mean score of satisfaction of the participants was 75 ± 12. On the basis of their scores, satisfaction in 3.2% of them was slow, in 33.9%was medium, in 61.3% was good and in 1.6% was high. The highest satisfaction was found to be in thesis supervision and the least was in the intellectual climate domain. There was no significant statistical difference between satisfaction and gender (P = 0.46). Conclusions: Considering the results, to increase student satisfaction for passing the thesis courses, it is necessary to improve the intellectual climate in dental schools and also increase the research budget for more financial support of students to carry out their projects. PMID:27462643
ERIC Educational Resources Information Center
Thompson, Carla J.
2009-01-01
Since educational statistics is a core or general requirement of all students enrolled in graduate education programs, the need for high quality student engagement and appropriate authentic learning experiences is critical for promoting student interest and student success in the course. Based in authentic learning theory and engagement theory…
NASA Astrophysics Data System (ADS)
Mercer, Gary J.
This quantitative study examined the relationship between secondary students with math anxiety and physics performance in an inquiry-based constructivist classroom. The Revised Math Anxiety Rating Scale was used to evaluate math anxiety levels. The results were then compared to the performance on a physics standardized final examination. A simple correlation was performed, followed by a multivariate regression analysis to examine effects based on gender and prior math background. The correlation showed statistical significance between math anxiety and physics performance. The regression analysis showed statistical significance for math anxiety, physics performance, and prior math background, but did not show statistical significance for math anxiety, physics performance, and gender.
Statistics teaching in medical school: opinions of practising doctors.
Miles, Susan; Price, Gill M; Swift, Louise; Shepstone, Lee; Leinster, Sam J
2010-11-04
The General Medical Council expects UK medical graduates to gain some statistical knowledge during their undergraduate education; but provides no specific guidance as to amount, content or teaching method. Published work on statistics teaching for medical undergraduates has been dominated by medical statisticians, with little input from the doctors who will actually be using this knowledge and these skills after graduation. Furthermore, doctor's statistical training needs may have changed due to advances in information technology and the increasing importance of evidence-based medicine. Thus there exists a need to investigate the views of practising medical doctors as to the statistical training required for undergraduate medical students, based on their own use of these skills in daily practice. A questionnaire was designed to investigate doctors' views about undergraduate training in statistics and the need for these skills in daily practice, with a view to informing future teaching. The questionnaire was emailed to all clinicians with a link to the University of East Anglia Medical School. Open ended questions were included to elicit doctors' opinions about both their own undergraduate training in statistics and recommendations for the training of current medical students. Content analysis was performed by two of the authors to systematically categorize and describe all the responses provided by participants. 130 doctors responded, including both hospital consultants and general practitioners. The findings indicated that most had not recognised the value of their undergraduate teaching in statistics and probability at the time, but had subsequently found the skills relevant to their career. Suggestions for improving undergraduate teaching in these areas included referring to actual research and ensuring relevance to, and integration with, clinical practice. Grounding the teaching of statistics in the context of real research studies and including examples of typical clinical work may better prepare medical students for their subsequent career.
NASA Astrophysics Data System (ADS)
Pearl, Judea
2000-03-01
Written by one of the pre-eminent researchers in the field, this book provides a comprehensive exposition of modern analysis of causation. It shows how causality has grown from a nebulous concept into a mathematical theory with significant applications in the fields of statistics, artificial intelligence, philosophy, cognitive science, and the health and social sciences. Pearl presents a unified account of the probabilistic, manipulative, counterfactual and structural approaches to causation, and devises simple mathematical tools for analyzing the relationships between causal connections, statistical associations, actions and observations. The book will open the way for including causal analysis in the standard curriculum of statistics, artifical intelligence, business, epidemiology, social science and economics. Students in these areas will find natural models, simple identification procedures, and precise mathematical definitions of causal concepts that traditional texts have tended to evade or make unduly complicated. This book will be of interest to professionals and students in a wide variety of fields. Anyone who wishes to elucidate meaningful relationships from data, predict effects of actions and policies, assess explanations of reported events, or form theories of causal understanding and causal speech will find this book stimulating and invaluable.
Using rock art as an alternative science pedagogy
NASA Astrophysics Data System (ADS)
Allen, Casey D.
College-level and seventh-grade science students were studied to understand the power of a field index, the Rock Art Stability Index (RASI), for student learning about complex biophysical environmental processes. In order to determine if the studied population was representative, 584 college and seventh-grade students undertook a concept mapping exercise after they had learned basic weathering science via in-class lecture. Of this large group, a subset of 322 college students and 13 seventh-grade students also learned RASI through a field experience involving the analysis of rock weathering associated with petroglyphs. After learning weathering through RASI, students completed another concept map. This was a college population where roughly 46% had never taken a "lab science" course and nearly 22% were from minority (non-white) populations. Analysis of student learning through the lens of actor-network theory revealed that when landscape is viewed as process (i.e. many practices), science education embodies both an alternative science philosophy and an alternative materialistic worldview. When RASI components were analyzed after only lecture, student understanding of weathering displayed little connection between weathering form and weathering process. After using RASI in the field however, nearly all students made illustrative concept maps rich in connections between weathering form and weathering process for all subcomponents of RASI. When taken as an aggregate, and measured by an average concept map score, learning increased by almost 14%, Among college minority students, the average score increase approached 23%. Among female students, the average score increase was 16%. For seventh-grade students, scores increased by nearly 36%. After testing for normalcy with Kolmogorov-Smirnov, t-tests reveal that all of these increases were highly statistically significant at p<0.001. The growth in learning weathering science by minority students, as compared to non-minority students, was also statistically significant at p<0.01. These findings reveal the power of field work through RASI to strengthen cognitive linkages between complex biophysical processes and the corresponding rock weathering forms.
Wiegand, Sarah; Bianchi, William; Quinn, Thomas A; Best, Mark; Fotopoulos, Thomas
2015-02-01
During medical education, many students experience psychological distress, including symptoms such as fatigue, stress, and depression. To evaluate the effect of osteopathic manipulative treatment (OMT) on self-perceived fatigue, stress, and depression in first-year osteopathic medical students. This randomized controlled pilot study with repeated measures was conducted at the Lake Erie College of Osteopathic Medicine-Bradenton in Florida during the fall 2012 semester. First-year osteopathic medical students voluntarily enrolled in the study and were randomly assigned to directed OMT (D-OMT), nondirected OMT (ND-OMT), or control groups. The D-OMT and ND-OMT groups received treatment by osteopathic physicians weekly for 4 weeks. The control group received no treatment. All groups completed the Epworth Sleepiness Scale (ESS), the Self-Perceived Stress Scale (SPSS), and the Primary Care Evaluation of Mental Disorders Patient Health Questionnaire 9 (PHQ-9) depression scale before treatment (pretest), after 2 treatments (midtest), and after 4 treatments (posttest). All participants self-reported as white and single, with both sexes equally represented, and had an mean age of 24 years. Analysis of ESS scores revealed a statistically significant decrease in the D-OMT group from pretest and posttest scores and a statistically significant increase in the ND-OMT group from pretest to midtest but not from pretest to posttest scores. No statistically significant differences were noted in the control group scores on this measure. No statistically significant differences were seen in the SPSS or PHQ-9 scores from pretest to midtest or pretest to posttest in any of the 3 groups. The D-OMT regimen used in the current study produced a statistically significant decrease in self-perceived fatigue in first-year osteopathic medical students. Osteopathic manipulative treatment represents a potential modality to reduce self-perceived distress in medical students. Further research is warranted. © 2015 The American Osteopathic Association.
ERIC Educational Resources Information Center
Roth, Kathleen J.; Druker, Stephen L.; Garnier, Helen E.; Lemmens, Meike; Chen, Catherine; Kawanaka, Takako; Rasmussen, Dave; Trubacova, Svetlana; Warvi, Dagmar; Okamoto, Yukari; Stigler, James; Gallimore, Ronald
2006-01-01
This report presents the results of a study of eighth-grade science teaching, conducted as part of the Third International Mathematics and Science Study (TIMSS) 1999 Video Study. The Video Study is a supplement to the TIMSS 1999 student assessment, a successor to the TIMSS 1995 student assessment. The TIMSS 1999 Video Study had the broad purpose…
"Stepping Stones": Career Paths to the SSAO for Men and Women at Four-Year Institutions
ERIC Educational Resources Information Center
Biddix, J. Patrick
2011-01-01
This study examined career paths to becoming the Senior Student Affairs Officer for men (n = 151) and women (n = 99) at 4-year institutions. Descriptive statistics and network analysis of resume data revealed that an average of 20 years and six job changes led to the position. Most started careers in residential life or student activities,…
ERIC Educational Resources Information Center
de Jong, N.; Verstegen, D. M. L.; Tan, F. E. S.; O'Connor, S. J.
2013-01-01
This case-study compared traditional, face-to-face classroom-based teaching with asynchronous online learning and teaching methods in two sets of students undertaking a problem-based learning module in the multilevel and exploratory factor analysis of longitudinal data as part of a Masters degree in Public Health at Maastricht University. Students…
ERIC Educational Resources Information Center
Lecours, Alexandra; Therriault, Pierre-Yves
2017-01-01
Statistics indicate that even if young workers complete vocational training, as a group they are at risk of sustaining injury. It appears that a lack of training in the area of injury prevention may explain some of this effect. Teachers are considered to be key actors in injury-prevention training and in the process of developing students'…
Gal-Nadasan, Norbert; Gal-Nadasan, Emanuela Georgiana; Stoicu-Tivadar, Vasile; Poenaru, Dan V; Popa-Andrei, Diana
2017-01-01
This paper suggests the usage of the Microsoft Kinect to detect the onset of the scoliosis at high school students due to incorrect sitting positions. The measurement is done by measuring the overall posture in orthostatic position using the Microsoft Kinect. During the measuring process several key points of the human body are tracked like the hips and shoulders to form the postural data. The test was done on 30 high school students who spend 6 to 7 hours per day in the school benches. The postural data is statistically processed by IBM Watson's Analytics. From the statistical analysis we have obtained that a prolonged sitting position at such young ages affects in a negative way the spinal cord and facilitates the appearance of malicious postures like scoliosis and lordosis.
ERIC Educational Resources Information Center
Ramler, Ivan P.; Chapman, Jessica L.
2011-01-01
In this article we describe a semester-long project, based on the popular video game series Guitar Hero, designed to introduce upper-level undergraduate statistics students to statistical research. Some of the goals of this project are to help students develop statistical thinking that allows them to approach and answer open-ended research…
A Framework for Assessing High School Students' Statistical Reasoning.
Chan, Shiau Wei; Ismail, Zaleha; Sumintono, Bambang
2016-01-01
Based on a synthesis of literature, earlier studies, analyses and observations on high school students, this study developed an initial framework for assessing students' statistical reasoning about descriptive statistics. Framework descriptors were established across five levels of statistical reasoning and four key constructs. The former consisted of idiosyncratic reasoning, verbal reasoning, transitional reasoning, procedural reasoning, and integrated process reasoning. The latter include describing data, organizing and reducing data, representing data, and analyzing and interpreting data. In contrast to earlier studies, this initial framework formulated a complete and coherent statistical reasoning framework. A statistical reasoning assessment tool was then constructed from this initial framework. The tool was administered to 10 tenth-grade students in a task-based interview. The initial framework was refined, and the statistical reasoning assessment tool was revised. The ten students then participated in the second task-based interview, and the data obtained were used to validate the framework. The findings showed that the students' statistical reasoning levels were consistent across the four constructs, and this result confirmed the framework's cohesion. Developed to contribute to statistics education, this newly developed statistical reasoning framework provides a guide for planning learning goals and designing instruction and assessments.
ERIC Educational Resources Information Center
Nolan, Meaghan M.; Beran, Tanya; Hecker, Kent G.
2012-01-01
Students with positive attitudes toward statistics are likely to show strong academic performance in statistics courses. Multiple surveys measuring students' attitudes toward statistics exist; however, a comparison of the validity and reliability of interpretations based on their scores is needed. A systematic review of relevant electronic…
A Tablet-PC Software Application for Statistics Classes
ERIC Educational Resources Information Center
Probst, Alexandre C.
2014-01-01
A significant deficiency in the area of introductory statistics education exists: Student performance on standardized assessments after a full semester statistics course is poor and students report a very low desire to learn statistics. Research on the current generation of students indicates an affinity for technology and for multitasking.…
ERIC Educational Resources Information Center
Larwin, Karen H.; Larwin, David A.
2011-01-01
Bootstrapping methods and random distribution methods are increasingly recommended as better approaches for teaching students about statistical inference in introductory-level statistics courses. The authors examined the effect of teaching undergraduate business statistics students using random distribution and bootstrapping simulations. It is the…
NASA Astrophysics Data System (ADS)
Judi, Hairulliza Mohamad; Sahari @ Ashari, Noraidah; Eksan, Zanaton Hj
2017-04-01
Previous research in Malaysia indicates that there is a problem regarding attitude towards statistics among students. They didn't show positive attitude in affective, cognitive, capability, value, interest and effort aspects although did well in difficulty. This issue should be given substantial attention because students' attitude towards statistics may give impacts on the teaching and learning process of the subject. Teaching statistics using role play is an appropriate attempt to improve attitudes to statistics, to enhance the learning of statistical techniques and statistical thinking, and to increase generic skills. The objectives of the paper are to give an overview on role play in statistics learning and to access the effect of these activities on students' attitude and learning in action research framework. The computer tool entrepreneur role play is conducted in a two-hour tutorial class session of first year students in Faculty of Information Sciences and Technology (FTSM), Universiti Kebangsaan Malaysia, enrolled in Probability and Statistics course. The results show that most students feel that they have enjoyable and great time in the role play. Furthermore, benefits and disadvantages from role play activities were highlighted to complete the review. Role play is expected to serve as an important activities that take into account students' experience, emotions and responses to provide useful information on how to modify student's thinking or behavior to improve learning.
Social Networks, Engagement and Resilience in University Students
García-López, Rosa; Fulgueiras-Carril, Iván
2017-01-01
Analysis of social networks may be a useful tool for understanding the relationship between resilience and engagement, and this could be applied to educational methodologies, not only to improve academic performance, but also to create emotionally sustainable networks. This descriptive study was carried out on 134 university students. We collected the network structural variables, degree of resilience (CD-RISC 10), and engagement (UWES-S). The computer programs used were excel, UCINET for network analysis, and SPSS for statistical analysis. The analysis revealed results of means of 28.61 for resilience, 2.98 for absorption, 4.82 for dedication, and 3.13 for vigour. The students had two preferred places for sharing information: the classroom and WhatsApp. The greater the value for engagement, the greater the degree of centrality in the friendship network among students who are beginning their university studies. This relationship becomes reversed as the students move to later academic years. In terms of resilience, the highest values correspond to greater centrality in the friendship networks. The variables of engagement and resilience influenced the university students’ support networks. PMID:29194361
Li, Yuh-Shiow; Yu, Wen-Pin; Liu, Chin-Fang; Shieh, Sue-Heui; Yang, Bao-Huan
2014-01-01
Abstract Background: Learning style is a major consideration in planning for effective and efficient instruction and learning. Learning style has been shown to influence academic performance in the previous research. Little is known about Taiwanese students' learning styles, particularly in the field of nursing education. This purpose of this study was to identify the relationship between learning styles and academic performance among nursing students in a 5-year associate degree of nursing (ADN) program and a 2-year bachelor of science in nursing (BSN) program in Taiwan. This study employed a descriptive and exploratory design. The Chinese version of the Myers-Briggs type indicator Form M was an instrument. Data such as grade point average were obtained from the Office of Academic Affairs and the Registrar computerized records. Descriptive statistics, one-way analysis of variance and chi-square statistical analysis were used to explore the relationship between academic performance and learning style in Taiwanese nursing students. The study sample included 285 nursing students: 96 students in a 2-year BSN program, and 189 students in a 5-year ADN program. Two common learning styles were found: Introversion, sensing, thinking, and judging; and introversion, sensing, feeling, and judging. A sensing-judging pair was identified in 43.3% of the participants. Academic performance was significantly related to learning style (p < 0.05, df = 15). The results of this study can help educators devise classroom and clinical instructional strategies that respond to individual needs in order to maximize academic performance and enhance student success. A large sample is recommended for further research. Understanding the learning style preferences of students can enhance learning for those who are under performing in their academic studies, thereby enhancing nursing education.
Assessment of a Pharmaceutical Advertisement Analysis Module in a Drug Literature Evaluation Course.
Amin, Mohamed Ezzat Khamis; Fattouh, Youssef
2017-08-01
Objective. To evaluate the impact of an educational module on students' self-efficacy when analyzing the content of promotional drug brochures (PDBs) and to assess the students' value of PDBs' as an educational tool. Methods. Third-year bachelor of pharmacy students participated in a one-hour lecture and a two-hour laboratory. Students completed a survey before and after participating in the module. Results. The module elicited a statistically significant change in students' self-efficacy beliefs regarding evaluating promotional drug brochures, while the average perceived value of promotional drug brochures did not change significantly after the module. Conclusion. A brief educational module can increase students' self-efficacy in evaluating the content of PDBs.
Sexual Violence Among College Students Attending a Nonresidential Campus.
Solinas-Saunders, Monica
2018-03-01
Using the empirical powers of theories of intersectionality, the study investigates the association between students' demographics (such as gender identity, race, ethnicity, age, and socioeconomic status) and sexual violence victimization. An anonymous survey was employed to collect data from a cluster random sample of 966 students attending face-to-face courses at a midsize urban nonresidential campus. The empirical findings suggest that being older and female are the only statistically significant factors in the analysis. As the first attempt to focus on students attending nonresidential programs in the United States, the study presents implications for policy and program implementation to include issues pertinent to students' diversity to better respond to students' risk of victimization.
Ashrafi-Rizi, Hasan; Sajad, Maryam Sadat; Rahmani, Sedigheh; Bahrami, Susan; Papi, Ahmad
2014-01-01
The efficient use of libraries can be an important factor in determining the educational quality of Universities. Therefore, investigation and identification of factors affecting library anxiety becomes increasingly necessary. The purpose of this research is to determine the factors effecting library anxiety of students in Isfahan University of Medical Sciences and Shiraz University of Medical Sciences. This was an applied survey research using Bostick's Library Anxiety questionnaire as data gathering tool. The statistical population consisted of all students of Isfahan University of Medical Sciences and Shiraz University of Medical Sciences (15011 students) with the sample size of 375 using stratified random sampling. The validity of data gathering tool was confirmed by experts in the library and information science and its reliability was determined by Cronbach's alpha (r = 0.92). Descriptive statistics (frequency, percentage, mean and standard deviation) and inferential statistics (t-test and ANOVA) were used for data analysis using SPSS 18 software. Findings showed that the mean of library anxiety score was 2.68 and 2.66 for students of Isfahan University of Medical Sciences and Shiraz University of Medical Sciences respectively which is above average (2.5). Furthermore, age and gender had no meaningful effect on the library anxiety of students of Isfahan University of Medical Sciences, but gender had a meaningful effect on library anxiety of students of Shiraz University of Medical Sciences while age had no such effect. The results showed that the mean of factors effecting library anxiety in students of Isfahan University of Medical Sciences and students of Shiraz University of Medical Sciences is higher than average and therefore not satisfactory and only factors relating to feeling comfortable in the library is lower than average and somewhat satisfactory.
Time Advice and Learning Questions in Computer Simulations
ERIC Educational Resources Information Center
Rey, Gunter Daniel
2011-01-01
Students (N = 101) used an introductory text and a computer simulation to learn fundamental concepts about statistical analyses (e.g., analysis of variance, regression analysis and General Linear Model). Each learner was randomly assigned to one cell of a 2 (with or without time advice) x 3 (with learning questions and corrective feedback, with…
Conjoint Analysis: A Study of the Effects of Using Person Variables.
ERIC Educational Resources Information Center
Fraas, John W.; Newman, Isadore
Three statistical techniques--conjoint analysis, a multiple linear regression model, and a multiple linear regression model with a surrogate person variable--were used to estimate the relative importance of five university attributes for students in the process of selecting a college. The five attributes include: availability and variety of…
Analysis of Superintendent Longevity in Large School Districts: A Qualitative Study
ERIC Educational Resources Information Center
Mouton, Nikki Golar
2013-01-01
School district leadership matters, as evidenced by a meta-analysis of 27 reports and 1,210 districts conducted by Waters and Marzano (2006) which highlights a statistically significant correlation between district leadership and student achievement. Because this relationship is significant, it is important for school districts to have effective…
Technologies for Teaching and Learning about Box Plots and Statistical Analysis
ERIC Educational Resources Information Center
Forster, Patricia A.
2007-01-01
This paper analyses technology-based instruction on data-analysis with box plots. Examples of instruction taken from the research literature inform a study of two classes of 17 year-old students (upper secondary) in which the mathematical relationships that their teachers targeted are distinguished as being, or not being, relevant to statistical…
A Meta-Analysis: The Relationship between Father Involvement and Student Academic Achievement
ERIC Educational Resources Information Center
Jeynes, William H.
2015-01-01
A meta-analysis was undertaken, including 66 studies, to determine the relationship between father involvement and the educational outcomes of urban school children. Statistical analyses were done to determine the overall impact and specific components of father involvement. The possible differing effects of paternal involvement by race were also…
ERIC Educational Resources Information Center
Goldstein, Harvey; Bonnet, Gerard; Rocher, Thierry
2007-01-01
The Programme for International Student Assessment comparative study of reading performance among 15-year-olds is reanalyzed using statistical procedures that allow the full complexity of the data structures to be explored. The article extends existing multilevel factor analysis and structural equation models and shows how this can extract richer…
Introducing Undergraduate Students to Metabolomics Using a NMR-Based Analysis of Coffee Beans
ERIC Educational Resources Information Center
Sandusky, Peter Olaf
2017-01-01
Metabolomics applies multivariate statistical analysis to sets of high-resolution spectra taken over a population of biologically derived samples. The objective is to distinguish subpopulations within the overall sample population, and possibly also to identify biomarkers. While metabolomics has become part of the standard analytical toolbox in…
ERIC Educational Resources Information Center
Valentine, Jeffrey C.; Konstantopoulos, Spyros; Goldrick-Rab, Sara
2017-01-01
This article reports a systematic review and meta-analysis of studies that use regression discontinuity to examine the effects of placement into developmental education. Results suggest that placement into developmental education is associated with effects that are negative, statistically significant, and substantively large for three outcomes:…
Analysis of Employment Flow of Landscape Architecture Graduates in Agricultural Universities
ERIC Educational Resources Information Center
Yao, Xia; He, Linchun
2012-01-01
A statistical analysis of employment flow of landscape architecture graduates was conducted on the employment data of graduates major in landscape architecture in 2008 to 2011. The employment flow of graduates was to be admitted to graduate students, industrial direction and regional distribution, etc. Then, the features of talent flow and factors…
Teaching statistics to nursing students: an expert panel consensus.
Hayat, Matthew J; Eckardt, Patricia; Higgins, Melinda; Kim, MyoungJin; Schmiege, Sarah J
2013-06-01
Statistics education is a necessary element of nursing education, and its inclusion is recommended in the American Association of Colleges of Nursing guidelines for nurse training at all levels. This article presents a cohesive summary of an expert panel discussion, "Teaching Statistics to Nursing Students," held at the 2012 Joint Statistical Meetings. All panelists were statistics experts, had extensive teaching and consulting experience, and held faculty appointments in a U.S.-based nursing college or school. The panel discussed degree-specific curriculum requirements, course content, how to ensure nursing students understand the relevance of statistics, approaches to integrating statistics consulting knowledge, experience with classroom instruction, use of knowledge from the statistics education research field to make improvements in statistics education for nursing students, and classroom pedagogy and instruction on the use of statistical software. Panelists also discussed the need for evidence to make data-informed decisions about statistics education and training for nurses. Copyright 2013, SLACK Incorporated.
Experiential Collaborative Learning and Preferential Thinking
NASA Astrophysics Data System (ADS)
Volpentesta, Antonio P.; Ammirato, Salvatore; Sofo, Francesco
The paper presents a Project-Based Learning (shortly, PBL) approach in a collaborative educational environment aimed to develop design ability and creativity of students coming from different engineering disciplines. Three collaborative learning experiences in product design were conducted in order to study their impact on preferred thinking styles of students. Using a thinking style inventory, pre- and post-survey data was collected and successively analyzed through ANOVA techniques. Statistically significant results showed students successfully developed empathy and an openness to multiple perspectives. Furthermore, data analysis confirms that the proposed collaborative learning experience positively contributes to increase awareness in students' thinking styles.
NASA Astrophysics Data System (ADS)
Torres Irribarra, D.; Freund, R.; Fisher, W.; Wilson, M.
2015-02-01
Computer-based, online assessments modelled, designed, and evaluated for adaptively administered invariant measurement are uniquely suited to defining and maintaining traceability to standardized units in education. An assessment of this kind is embedded in the Assessing Data Modeling and Statistical Reasoning (ADM) middle school mathematics curriculum. Diagnostic information about middle school students' learning of statistics and modeling is provided via computer-based formative assessments for seven constructs that comprise a learning progression for statistics and modeling from late elementary through the middle school grades. The seven constructs are: Data Display, Meta-Representational Competence, Conceptions of Statistics, Chance, Modeling Variability, Theory of Measurement, and Informal Inference. The end product is a web-delivered system built with Ruby on Rails for use by curriculum development teams working with classroom teachers in designing, developing, and delivering formative assessments. The online accessible system allows teachers to accurately diagnose students' unique comprehension and learning needs in a common language of real-time assessment, logging, analysis, feedback, and reporting.
Olimpo, Jeffrey T; Pevey, Ryan S; McCabe, Thomas M
2018-01-01
Course-based undergraduate research experiences (CUREs) provide an avenue for student participation in authentic scientific opportunities. Within the context of such coursework, students are often expected to collect, analyze, and evaluate data obtained from their own investigations. Yet, limited research has been conducted that examines mechanisms for supporting students in these endeavors. In this article, we discuss the development and evaluation of an interactive statistics workshop that was expressly designed to provide students with an open platform for graduate teaching assistant (GTA)-mentored data processing, statistical testing, and synthesis of their own research findings. Mixed methods analyses of pre/post-intervention survey data indicated a statistically significant increase in students' reasoning and quantitative literacy abilities in the domain, as well as enhancement of student self-reported confidence in and knowledge of the application of various statistical metrics to real-world contexts. Collectively, these data reify an important role for scaffolded instruction in statistics in preparing emergent scientists to be data-savvy researchers in a globally expansive STEM workforce.
The Third U.S.A. Mathematical Olympiad
ERIC Educational Resources Information Center
Greitzer, Samuel L.
1975-01-01
The 1974 Third United States of America Mathematical Olympiad for secondary school students is described. Included are five test problems with solutions, a brief statistical analysis of test scores, and a list of the eight finalists. (CR)
Chen, Peggy P; Cleary, Timothy J; Lui, Angela M
2015-09-01
This study examined the reliability and validity of a parent rating scale, the Self-Regulation Strategy Inventory: Parent Rating Scale (SRSI-PRS), using a sample of 451 parents of sixth- and seventh-grade middle-school students. Principal axis factoring (PAF) analysis revealed a 3-factor structure for the 23-item SRSI-PRS: (a) Managing Behavior and Learning (α = .92), (b) Maladaptive Regulatory Behaviors (α = .76), and (c) Managing Environment (α = .84). The majority of the observed relations between these 3 subscales, and the SRSI-SR, student motivation beliefs, and student mathematics grades were statistically significant and in the small to medium range. After controlling for various student variables and motivation indices of parental involvement, 2 SRSI-PRS factors (Managing Behavior and Learning, Maladaptive Regulatory Behaviors) reliably predicted students' achievement in their mathematics course. This study provides initial support for the validity and reliability of the SRSI-PRS and underscores the advantages of obtaining parental ratings of students' SRL behaviors. (c) 2015 APA, all rights reserved).
NASA Astrophysics Data System (ADS)
Provo, Judy; Lamar, Carlton; Newby, Timothy
2002-01-01
A cross section was used to enhance three-dimensional knowledge of anatomy of the canine head. All veterinary students in two successive classes (n = 124) dissected the head; experimental groups also identified structures on a cross section of the head. A test assessing spatial knowledge of the head generated 10 dependent variables from two administrations. The test had content validity and statistically significant interrater and test-retest reliability. A live-dog examination generated one additional dependent variable. Analysis of covariance controlling for performance on course examinations and quizzes revealed no treatment effect. Including spatial skill as a third covariate revealed a statistically significant effect of spatial skill on three dependent variables. Men initially had greater spatial skill than women, but spatial skills were equal after 8 months. A qualitative analysis showed the positive impact of this experience on participants. Suggestions for improvement and future research are discussed.
NASA Astrophysics Data System (ADS)
Bucy, Brandon R.
While much of physics education research (PER) has traditionally been conducted in introductory undergraduate courses, researchers have begun to study student understanding of physics concepts at the upper-level. In this dissertation, we describe investigations conducted in advanced undergraduate thermodynamics courses. We present and discuss results pertaining to student understanding of two topics: entropy and the role of mixed second-order partial derivatives in thermodynamics. Our investigations into student understanding of entropy consisted of an analysis of written student responses to researcher-designed diagnostic questions. Data gathered in clinical interviews is employed to illustrate and extend results gathered from written responses. The question sets provided students with several ideal gas processes, and asked students to determine and compare the entropy changes of these processes. We administered the question sets to students from six distinct populations, including students enrolled in classical thermodynamics, statistical mechanics, thermal physics, physical chemistry, and chemical engineering courses, as well as a sample of physics graduate students. Data was gathered both before and after instruction in several samples. Several noteworthy features of student reasoning are identified and discussed. These features include student ideas about entropy prior to instruction, as well as specific difficulties and other aspects of student reasoning evident after instruction. As an example, students from various populations tended to emphasize either the thermodynamic or the statistical definition of entropy. Both approaches present students with a unique set of benefits as well as challenges. We additionally studied student understanding of partial derivatives in a thermodynamics context. We identified specific difficulties related to the mixed second partial derivatives of a thermodynamic state function, based on an analysis of student responses to homework and exam problems. Students tended to set these partial derivatives identically equal to zero. Students also displayed difficulties in relating the physical description of a material property to a corresponding mathematical statement involving partial derivatives. We describe the development of a guided-inquiry tutorial activity designed to address these specific difficulties. This tutorial focused on the graphical interpretation of partial derivatives. Preliminary results suggest that the tutorial was effective in addressing several student difficulties related to partial derivatives.
Research design and statistical methods in Pakistan Journal of Medical Sciences (PJMS)
Akhtar, Sohail; Shah, Syed Wadood Ali; Rafiq, M.; Khan, Ajmal
2016-01-01
Objective: This article compares the study design and statistical methods used in 2005, 2010 and 2015 of Pakistan Journal of Medical Sciences (PJMS). Methods: Only original articles of PJMS were considered for the analysis. The articles were carefully reviewed for statistical methods and designs, and then recorded accordingly. The frequency of each statistical method and research design was estimated and compared with previous years. Results: A total of 429 articles were evaluated (n=74 in 2005, n=179 in 2010, n=176 in 2015) in which 171 (40%) were cross-sectional and 116 (27%) were prospective study designs. A verity of statistical methods were found in the analysis. The most frequent methods include: descriptive statistics (n=315, 73.4%), chi-square/Fisher’s exact tests (n=205, 47.8%) and student t-test (n=186, 43.4%). There was a significant increase in the use of statistical methods over time period: t-test, chi-square/Fisher’s exact test, logistic regression, epidemiological statistics, and non-parametric tests. Conclusion: This study shows that a diverse variety of statistical methods have been used in the research articles of PJMS and frequency improved from 2005 to 2015. However, descriptive statistics was the most frequent method of statistical analysis in the published articles while cross-sectional study design was common study design. PMID:27022365
Improving Evaluation of Dental Hygiene Students' Cultural Competence with a Mixed-Methods Approach.
Flynn, Priscilla; Sarkarati, Nassim
2018-02-01
Most dental hygiene educational programs include cultural competence education, but may not evaluate student outcomes. The aim of this study was to design and implement a mixed-methods evaluation to measure dental hygiene students' progression toward cultural competence. Two cohorts consisting of consecutive classes in one U.S. dental hygiene program participated in the study. A total of 47 dental hygiene students (100% response rate) completed self-assessments to measure their attitudes and knowledge at three time points between 2014 and 2016. Mean scores were calculated for three domains: Physical Environment, Communication, and Values. Qualitative analysis of the students' cultural diversity papers was also conducted to further evaluate students' knowledge and skills. Bennett's five-level conceptual framework was used to code phrases or sentences to place students in the general categories of ethnocentric or ethno-relative. The quantitative and qualitative results yielded different outcomes for Cohort 1, but not for Cohort 2. The Cohort 1 students assessed themselves statistically significantly lower over time in one of the three measured domains. However, the Cohort 2 students assessed themselves as statistically significantly more culturally competent in all three domains. Qualitative results placed 72% of Cohort 1 students and 83% of Cohort 2 students in the more desirable ethno-relative category. Since quantitative methods consisting of student self-assessments may not adequately measure students' cultural competence, adding qualitative methods to measure skills specific to patient care in this study added a robust dimension to evaluating this complex dental hygiene student competence.
NASA Astrophysics Data System (ADS)
McCray, Wilmon Wil L., Jr.
The research was prompted by a need to conduct a study that assesses process improvement, quality management and analytical techniques taught to students in U.S. colleges and universities undergraduate and graduate systems engineering and the computing science discipline (e.g., software engineering, computer science, and information technology) degree programs during their academic training that can be applied to quantitatively manage processes for performance. Everyone involved in executing repeatable processes in the software and systems development lifecycle processes needs to become familiar with the concepts of quantitative management, statistical thinking, process improvement methods and how they relate to process-performance. Organizations are starting to embrace the de facto Software Engineering Institute (SEI) Capability Maturity Model Integration (CMMI RTM) Models as process improvement frameworks to improve business processes performance. High maturity process areas in the CMMI model imply the use of analytical, statistical, quantitative management techniques, and process performance modeling to identify and eliminate sources of variation, continually improve process-performance; reduce cost and predict future outcomes. The research study identifies and provides a detail discussion of the gap analysis findings of process improvement and quantitative analysis techniques taught in U.S. universities systems engineering and computing science degree programs, gaps that exist in the literature, and a comparison analysis which identifies the gaps that exist between the SEI's "healthy ingredients " of a process performance model and courses taught in U.S. universities degree program. The research also heightens awareness that academicians have conducted little research on applicable statistics and quantitative techniques that can be used to demonstrate high maturity as implied in the CMMI models. The research also includes a Monte Carlo simulation optimization model and dashboard that demonstrates the use of statistical methods, statistical process control, sensitivity analysis, quantitative and optimization techniques to establish a baseline and predict future customer satisfaction index scores (outcomes). The American Customer Satisfaction Index (ACSI) model and industry benchmarks were used as a framework for the simulation model.
Attitude towards statistics and performance among post-graduate students
NASA Astrophysics Data System (ADS)
Rosli, Mira Khalisa; Maat, Siti Mistima
2017-05-01
For student to master Statistics is a necessity, especially for those post-graduates that are involved in the research field. The purpose of this research was to identify the attitude towards Statistics among the post-graduates and to determine the relationship between the attitude towards Statistics and post-graduates' of Faculty of Education, UKM, Bangi performance. 173 post-graduate students were chosen randomly to participate in the study. These students registered in Research Methodology II course that was introduced by faculty. A survey of attitude toward Statistics using 5-points Likert scale was used for data collection purposes. The instrument consists of four components such as affective, cognitive competency, value and difficulty. The data was analyzed using the SPSS version 22 in producing the descriptive and inferential Statistics output. The result of this research showed that there is a medium and positive relation between attitude towards statistics and students' performance. As a conclusion, educators need to access students' attitude towards the course to accomplish the learning outcomes.
NASA Astrophysics Data System (ADS)
Gifford, Fay Evan
The purpose of this study was to determine the difference in gender participation in the college physical science laboratory as perceived by students. The sample n this study consisted of 168 college sophomore architecture students (56 males and 33 females) and engineering students (61 males and 18 females). Depending on the type of information desired, a number of analyses were used including independent samples t-test, two-way Anova, general linear model analysis, Univariate analysis of variance, and descriptive statistics. In the analysis of data for the first fourteen questions of the questionnaire, which are called descriptive data, both gender and academic discipline differences were examined. It was found both genders picked personal choice as the role they played in the lab, and they were recorder, computer operator, and set up. There was no major difference here for the two disciplines except for engineers (by four to one over the architectures), who thought one member took the lead and assigned the role. There was no statistically significant difference in attitude toward group laboratory work between the two genders, but there was a significant difference by academic discipline here. There was a significant difference between genders for the way that students were assigned to small groups (i.e., the females would prefer the professor assign the role). For the open-ended student question dealing with suggestions for improving student participation in the labs, about one-third responded. One major difference between the disciplines was the architectural students by a twenty to one ratio over the engineers thought they didn't need a physics lab. For Hypothesis 4, there was a general agreement between the students' and the instructors' that there was not a difference in the students' gender responses and the instructors'. For Hypothesis 5, the responses from the four special gender questions for the students and instructors show that the males don't agree with the instructors on any of the four questions, but the females agree with the instructors on two of the questions.
Sports betting and other gambling in athletes, fans, and other college students.
Nelson, Toben F; LaBrie, Richard A; LaPlante, Debi A; Stanton, Michael; Shaffer, Howard J; Wechsler, Henry
2007-09-01
Gambling on college and professional sports and the influence of attending colleges with differing levels of "sports interest" were examined among athletes, sports fans, and other students (N = 10,559) at 119 colleges in the United States using multilevel statistical analysis. Athletes and fans reported more sports gambling compared to other students, with no differences between athletes and fans. Male students were more likely to gamble than female students, but gender did not moderate the relationship between athletic participation and sports gambling. Students attending schools with a greater "sports interest" were more likely to gamble on college sports after adjusting for individual characteristics. Athletes, sports fans, and students attending schools with high "sports interest" are appropriate targets for prevention efforts.
Exploring mathematics anxiety and attitude: Mathematics students' experiences
NASA Astrophysics Data System (ADS)
Sahri, Nurul Ashikin; Kamaruzaman, Wan Nur Farahdalila Wan; Jamil, Jastini Mohd.; Shaharanee, Izwan Nizal Mohd.
2017-11-01
A quantitative and correlational, survey methods were used to investigate the relationships among mathematical anxiety and attitude toward student's mathematics performance. Participants were 100 students volunteer to enroll in undergraduate Industrial Statistics, Decision Sciences and Business Mathematics at one of northern university in Malaysia. Survey data consisted of demographic items and Likert scale items. The collected data was analyzed by using the idea of correlation and regression analysis. The results indicated that there was a significant positive relationship between students' attitude and mathematics anxiety. Results also indicated that a substantial positive effect of students' attitude and mathematics anxiety in students' achievement. Further study can be conducted on how mathematical anxiety and attitude toward mathematics affects can be used to predict the students' performance in the class.
Measuring Student Learning in Social Statistics: A Pretest-Posttest Study of Knowledge Gain
ERIC Educational Resources Information Center
Delucchi, Michael
2014-01-01
This study used a pretest-posttest design to measure student learning in undergraduate statistics. Data were derived from 185 students enrolled in six different sections of a social statistics course taught over a seven-year period by the same sociology instructor. The pretest-posttest instrument reveals statistically significant gains in…
Facilitating Student Experimentation with Statistical Concepts.
ERIC Educational Resources Information Center
Smith, Patricia K.
2002-01-01
Offers a Web page with seven Java applets allowing students to experiment with key concepts in an introductory statistics course. Indicates the applets can be used in three ways: to place links to the applets, to create in-class demonstrations of statistical concepts, and to lead students through experiments and discover statistical relationships.…
ERIC Educational Resources Information Center
Ramirez-Faghih, Caroline Ann
2012-01-01
The goal of this study was to examine the reciprocal relationship between statistical investigation and motivation of college students in a Mathematical Reasoning course (Math 1). Unlike previous studies in which students' projects or statistical investigations have been examined as the final product that shows evidence of statistical…
Wickramasinghe, Nuwan Darshana; Dissanayake, Devani Sakunthala; Abeywardena, Gihan Sajiwa
2018-01-01
Even though the concept of burnout has been widely explored across the globe, the evidence base on burnout among high school students in the South Asian context is scanty. Against the backdrop of ever-increasing educational demands and expectations, the present study was designed to determine the prevalence and correlates of burnout among collegiate cycle students in Sri Lanka. A school-based cross-sectional study was conducted among 872 grade thirteen students in 15 government schools in an educational zone, Kegalle district, Sri Lanka selected by a stratified cluster sampling technique. The validated Sinhala version of the 15-item Maslach Burnout Inventory-Student Survey (MBI-SS) was used to assess burnout. The adjusted prevalence of burnout was computed based on the clinically validated cut-off values using the "exhaustion + 1" criterion. Multivariable logistic regression was carried out using backward elimination method to quantify the association between burnout and selected correlates identified at bivariate analysis at p value less than 0.05. The response rate was 91.3% (n = 796). The adjusted prevalence of burnout among grade thirteen students was 28.8% (95% CI = 25.0-32.7%). Multivariable analysis elicited a multitude of statistically significant associations with burnout when controlled for other factors included in the model (p < 0.05). Perceived satisfaction related to the school environment (classroom and library facilities), school curriculum (scope, relevance, and difficulty of the subject content), study enthusiasm (preferred subject stream), study support (support from parents to teachers), and future expectations (personal and parental expectations) emerged as statistically significant negative associations with burnout, whereas having to encounter disturbances while studying and being subjected to bullying at school emerged as statistically significant positive associations with burnout. The burnout prevalence among grade thirteen students in the selected educational zone, Sri Lanka is high. Most of the significant correlates of burnout are directly related to the academic endeavours. It is recommended to strengthen the counseling services at the school level to rectify the problems related to burnout among collegiate cycle students in Sri Lanka.
Evidence-Based Medicine as a Tool for Undergraduate Probability and Statistics Education
Masel, J.; Humphrey, P. T.; Blackburn, B.; Levine, J. A.
2015-01-01
Most students have difficulty reasoning about chance events, and misconceptions regarding probability can persist or even strengthen following traditional instruction. Many biostatistics classes sidestep this problem by prioritizing exploratory data analysis over probability. However, probability itself, in addition to statistics, is essential both to the biology curriculum and to informed decision making in daily life. One area in which probability is particularly important is medicine. Given the preponderance of pre health students, in addition to more general interest in medicine, we capitalized on students’ intrinsic motivation in this area to teach both probability and statistics. We use the randomized controlled trial as the centerpiece of the course, because it exemplifies the most salient features of the scientific method, and the application of critical thinking to medicine. The other two pillars of the course are biomedical applications of Bayes’ theorem and science and society content. Backward design from these three overarching aims was used to select appropriate probability and statistics content, with a focus on eliciting and countering previously documented misconceptions in their medical context. Pretest/posttest assessments using the Quantitative Reasoning Quotient and Attitudes Toward Statistics instruments are positive, bucking several negative trends previously reported in statistics education. PMID:26582236
ERIC Educational Resources Information Center
Yousef, Darwish Abdulrahman
2016-01-01
Purpose: Although there are many studies addressing the learning styles of business students as well as students of other disciplines, there are few studies which address the learning style preferences of statistics students. The purpose of this study is to explore the learning style preferences of statistics students at a United Arab Emirates…
Teaching Statistics in Labor, Social, Juridical or Economic Studies
ERIC Educational Resources Information Center
Navarrete-Alvarez, Esteban; Rosales-Moreno, Maria Jesus; Huete-Morales, Maria Dolores
2010-01-01
Statistics teaching should not be carried out in the same way for all kinds of university students. Instead, teaching statistics should take into account the different fields of study that students have chosen. For example, students of sciences or engineering have different interests and backgrounds compared to students of any social or juridical…
Student and Professor Gender Effects in Introductory Business Statistics
ERIC Educational Resources Information Center
Haley, M. Ryan; Johnson, Marianne F.; Kuennen, Eric W.
2007-01-01
Studies have yielded highly mixed results as to differences in male and female student performance in statistics courses; the role that professors play in these differences is even less clear. In this paper, we consider the impact of professor and student gender on student performance in an introductory business statistics course taught by…
ERIC Educational Resources Information Center
Hedges, Sarai
2017-01-01
The statistics education community continues to explore the differences in performance outcomes and in student attitudes between online and face-to-face delivery methods of statistics courses. In this quasi-experimental study student persistence, exam, quiz, and homework scores were compared between delivery methods, class status, and programs of…
Practicing Statistics by Creating Exercises for Fellow Students
ERIC Educational Resources Information Center
Bebermeier, Sarah; Reiss, Katharina
2016-01-01
This article outlines the execution of a workshop in which students were encouraged to actively review the course contents on descriptive statistics by creating exercises for their fellow students. In a first-year statistics course in psychology, 39 out of 155 students participated in the workshop. In a subsequent evaluation, the workshop was…
Dulcić, Adinda; Bakota, Koraljka
2009-06-01
The paper reveals views of teachers in some regular elementary schools in the Republic of Croatia where students with cochlear implants, who are also rehabilitants of SUVAG Polyclinic, are educated. Survey aimed to research the views of teachers towards education. Survey included 98 teachers. Likert type scale was applied in order to identify the views of teachers towards students with hearing impairment. The survey was carried out in May 2007. Data were processed by SPSS for Windows program, version 13. Methods of descriptive statistics were applied to process frequencies of responds on variables for total sample and 3 statistically significant factors emerged by factor analysis. Results of this survey reveal that teachers have positive views towards inclusive education as a process which offers students with cochlear implants the possibility to socialize and achieve intellectual and emotional development. The survey suggests that the way of inclusion enforcement mostly satisfies the criteria specified for successful inclusion.
NASA Astrophysics Data System (ADS)
Lee, Silvia Wen-Yu; Liang, Jyh-Chong; Tsai, Chin-Chung
2016-10-01
This study investigated the relationships among college students' epistemic beliefs in biology (EBB), conceptions of learning biology (COLB), and strategies of learning biology (SLB). EBB includes four dimensions, namely 'multiple-source,' 'uncertainty,' 'development,' and 'justification.' COLB is further divided into 'constructivist' and 'reproductive' conceptions, while SLB represents deep strategies and surface learning strategies. Questionnaire responses were gathered from 303 college students. The results of the confirmatory factor analysis and structural equation modelling showed acceptable model fits. Mediation testing further revealed two paths with complete mediation. In sum, students' epistemic beliefs of 'uncertainty' and 'justification' in biology were statistically significant in explaining the constructivist and reproductive COLB, respectively; and 'uncertainty' was statistically significant in explaining the deep SLB as well. The results of mediation testing further revealed that 'uncertainty' predicted surface strategies through the mediation of 'reproductive' conceptions; and the relationship between 'justification' and deep strategies was mediated by 'constructivist' COLB. This study provides evidence for the essential roles some epistemic beliefs play in predicting students' learning.
Bos, Elisabeth; Alinaghizadeh, Hassan; Saarikoski, Mikko; Kaila, Päivi
2015-01-01
Clinical placement plays a key role in education intended to develop nursing and caregiving skills. Studies of nursing students' clinical learning experiences show that these dimensions affect learning processes: (i) supervisory relationship, (ii) pedagogical atmosphere, (iii) management leadership style, (iv) premises of nursing care on the ward, and (v) nursing teachers' roles. Few empirical studies address the probability of an association between these dimensions and factors such as student (a) motivation, (b) satisfaction with clinical placement, and (c) experiences with professional role models. The study aimed to investigate factors associated with the five dimensions in clinical learning environments within primary health care units. The Swedish version of Clinical Learning Environment, Supervision and Teacher, a validated evaluation scale, was administered to 356 graduating nursing students after four or five weeks clinical placement in primary health care units. Response rate was 84%. Multivariate analysis of variance is determined if the five dimensions are associated with factors a, b, and c above. The analysis revealed a statistically significant association with the five dimensions and two factors: students' motivation and experiences with professional role models. The satisfaction factor had a statistically significant association (effect size was high) with all dimensions; this clearly indicates that students experienced satisfaction. These questionnaire results show that a good clinical learning experience constitutes a complex whole (totality) that involves several interacting factors. Supervisory relationship and pedagogical atmosphere particularly influenced students' satisfaction and motivation. These results provide valuable decision-support material for clinical education planning, implementation, and management. Copyright © 2014 Elsevier Ltd. All rights reserved.
Pereyra-Elías, Reneé; Ocampo-Mascaró, Javier; Silva-Salazar, Vera; Vélez-Segovia, Eduardo; Costa-Bullón, A Daniel da; Toro-Polo, Luis Miguel; Vicuña-Ortega, Joanna
2010-01-01
Depressive symptoms in health sciences students are common, these might be potentially detrimental. To determine the prevalence of depressive symptoms and its associated factors in students from the Health Sciences Faculty of the Universidad Peruana de Ciencias Aplicadas in Lima (Peru), June 2010. Cross-sectional analytic study; a pre-consented survey was applied to the population 590/869 students. Zung's abbreviated scale was used to measure depressive symptoms. To evaluate de associated factors, logistic regression was used, p<0.05 was considered statistically significant. The mean age was 18.97 ± 2.45 years and 71.1% were women, 19.6% were migrants and 62.5% were medical students. The prevalence of depressive symptoms was 31.2% in the whole population and in medical students was 33.6%. Depressive symptoms were not associated in bivariate analysis with sex, career, having failed a course, living alone or being a migrant (p>0.05). In the multivariate analysis, significant statistical association was found between depressive symptoms and dissatisfaction with the own academic performance (OR=2.13 CI95%1.47-3.08), dissatisfaction with the current economic status (OR=1.93 CI95%1.24-2.99) and living with a relative external to the nuclear family (OR=1.62 CI95%1.07-2.45). A high prevalence of depressive symptoms was found, especially in medical students; being dissatisfaction with academic performance, economic status and living with a relative external to the nuclear family associated factors that could be taken into account in order to build preventive programs.
Metabolic syndrome, insulin resistance and other cardiovascular risk factors in university students.
Barbosa, José Bonifácio; dos Santos, Alcione Miranda; Barbosa, Marcelo Mesquita; Barbosa, Márcio Mesquita; de Carvalho, Carolina Abreu; Fonseca, Poliana Cristina de Almeida; Fonseca, Jessica Magalhães; Barbosa, Maria do Carmo Lacerda; Bogea, Eduarda Gomes; da Silva, Antônio Augusto Moura
2016-04-01
A cross-sectional population-based study using questionnaire and anthropometric data was conducted on 968 university students of São Luís, Brazil, from which 590 showed up for blood collection. In the statistical analysis the Student t-test, Mann-Whitney and chi-square tests were used. The prevalence of metabolic syndrome by the Joint Interim Statement (JIS) criteria was 20.5%, almost three times more prevalent in men (32.2%) than in women (13.5%) (P < 0.001). The prevalence of insulin resistance was 7.3% and the prevalence of low HDL-cholesterol was high (61.2%), both with no statistically significant differences by sex. Men showed a higher percentage of smoking, overweight, high blood pressure, high blood glucose and increased fasting hypertriglyceridemia. Women were more sedentary. University students of private institutions had higher prevalences of sedentary lifestyle, obesity, abdominal obesity, elevated triglycerides and metabolic syndrome than students from public institutions. High prevalences of metabolic syndrome, insulin resistance and other cardiovascular risk factors were found in this young population. This suggests that the burden of these diseases in the future will be increased.
Anxiety (Low Ago Strength) And Intelligence Among Students Of High School Mathematics
NASA Astrophysics Data System (ADS)
Naderi, Habibollah
2008-01-01
The aim of this study was to investigate the relationship between anxiety (low ago strength) and intelligence among student's mathematics. All the effects of anxiety were studied within the sample of 112 subjects (boys). 56 of them were regular of students (RS) and 56 were intelligent of students (IS) of high schools. Mean age was (17.1 years), SD (.454) and range age was 16-18 years in 3 classes of regular of high school mathematics was for regular students. For the IS, mean age was (16.75 years), SD (.436) and range age was l6-17 years in 4 classes of students exceptional talent for high school mathematics. The sampling method in this study was the simple randomization method. In this studied, for analysis of method used both descriptive and inference of research, which for description of analysis used Average and analysis of covariance and Variance, also for inference of analysis, used with t-test between two the groups of students. The Cattell of Anxiety Test (1958) (CTAT) has been used in a number of studies for measurement trait anxiety in Iran. In general, the findings were found not statistical significant between the RS and the IS of students in that factorial of low of ago strength (C-). Further research is needed to investigate whether the current findings hold for student populations by others anxiety tests.
Kong, Ling-Na; Qin, Bo; Zhou, Ying-qing; Mou, Shao-yu; Gao, Hui-Ming
2014-03-01
The objective of this systematic review and meta-analysis was to estimate the effectiveness of problem-based learning in developing nursing students' critical thinking. Searches of PubMed, EMBASE, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Proquest, Cochrane Central Register of Controlled Trials (CENTRAL) and China National Knowledge Infrastructure (CNKI) were undertaken to identify randomized controlled trails from 1965 to December 2012, comparing problem-based learning with traditional lectures on the effectiveness of development of nursing students' critical thinking, with no language limitation. The mesh-terms or key words used in the search were problem-based learning, thinking, critical thinking, nursing, nursing education, nurse education, nurse students, nursing students and pupil nurse. Two reviewers independently assessed eligibility and extracted data. Quality assessment was conducted independently by two reviewers using the Cochrane Collaboration's Risk of Bias Tool. We analyzed critical thinking scores (continuous outcomes) using a standardized mean difference (SMD) or weighted mean difference (WMD) with a 95% confidence intervals (CIs). Heterogeneity was assessed using the Cochran's Q statistic and I(2) statistic. Publication bias was assessed by means of funnel plot and Egger's test of asymmetry. Nine articles representing eight randomized controlled trials were included in the meta-analysis. Most studies were of low risk of bias. The pooled effect size showed problem-based learning was able to improve nursing students' critical thinking (overall critical thinking scores SMD=0.33, 95%CI=0.13-0.52, P=0.0009), compared with traditional lectures. There was low heterogeneity (overall critical thinking scores I(2)=45%, P=0.07) in the meta-analysis. No significant publication bias was observed regarding overall critical thinking scores (P=0.536). Sensitivity analysis showed that the result of our meta-analysis was reliable. Most effect sizes for subscales of the California Critical Thinking Dispositions Inventory (CCTDI) and Bloom's Taxonomy favored problem-based learning, while effect sizes for all subscales of the California Critical Thinking Skills Test (CCTST) and most subscales of the Watson-Glaser Critical Thinking Appraisal (WCGTA) were inconclusive. The results of the current meta-analysis indicate that problem-based learning might help nursing students to improve their critical thinking. More research with larger sample size and high quality in different nursing educational contexts are required. Copyright © 2013 Elsevier Ltd. All rights reserved.
Physics Teachers and Students: A Statistical and Historical Analysis of Women
NASA Astrophysics Data System (ADS)
Gregory, Amanda
2009-10-01
Historically, women have been denied an education comparable to that available to men. Since women have been allowed into institutions of higher learning, they have been studying and earning physics degrees. The aim of this poster is to discuss the statistical relationship between the number of women enrolled in university physics programs and the number of female physics faculty members. Special care has been given to examining the statistical data in the context of the social climate at the time that these women were teaching or pursuing their education.
NASA Astrophysics Data System (ADS)
Sparks, David M.
The purpose of this research was to distinguish the similarities and differences in coping strategies of African American engineering students by analyzing their perceptions of stereotype threat at three academic institution types, Predominantly White Institutions (PWI), ethnically diverse, and Historically Black Colleges and Universities (HBCUs). The researcher collected demographic and survey data using the Stereotype Vulnerability Scale (SVS). The study was offered to the entire population of African American engineering students at each college using an online survey. Results were analyzed using MANOVA and Pearson's correlational statistical analyses to test the hypotheses. Findings revealed that little differences exist between students' scores on an assessment of stereotype vulnerability, with a few areas showing that HBCUs and ethnically diverse universities are doing a similar job in addressing perceptions of their African American engineering students. Finding also revealed that the percentage of African American students at a university did not correlate with the scores on the SVS accept on questions related to the personal feelings students have about their race. The strongest findings related to the differences in male and female students across the universities. African American female engineering students appeared to perceive more stereotype threat than did their male counterparts; although, this fining was not statistically significant. Overall, no statistically significant differences were found between students' perceptions of stereotype threat at the three types of universities. Future research should expand the number of survey participants at the current universities, add more HBCUs to the study population, run similar experiments in different parts of the country, compare stereotype threat in private and elite universities, use ethnically diverse universities as models for minority student development, and use new or improved survey instruments that delineate race and gender stereotype threat as perceived by African American female STEM students.
Undergraduate medical student's perceptions on traditional and problem based curricula: pilot study.
Meo, Sultan Ayoub
2014-07-01
To evaluate and compare students' perceptions about teaching and learning, knowledge and skills, outcomes of course materials and their satisfaction in traditional Lecture Based learning versus Problem-Based Learning curricula in two different medical schools. The comparative cross-sectional questionnaire-based study was conducted in the Department of Physiology, College of Medicine, King Saud University, Riyadh, Saudi Arabia, from July 2009 to January 2011. Two different undergraduate medical schools were selected; one followed the traditional curriculum, while the other followed the problem-based learning curriculum. Two equal groups of first year medical students were selected. They were taught in respiratory physiology and lung function lab according to their curriculum for a period of two weeks. At the completion of the study period, a five-point Likert scale was used to assess students' perceptions on satisfaction, academic environment, teaching and learning, knowledge and skills and outcomes of course materials about effectiveness of problem-based learning compared to traditional methods. SPSS 19 was used for statistical analysis. Students used to problem-based learning curriculum obtained marginally higher scores in their perceptions (24.10 +/- 3.63) compared to ones following the traditional curriculum (22.67 +/- 3.74). However, the difference in perceptions did not achieve a level of statistical significance. Students following problem-based learning curriculum have more positive perceptions on teaching and learning, knowledge and skills, outcomes of their course materials and satisfaction compared to the students belonging to the traditional style of medical school. However, the difference between the two groups was not statistically significant.
Introducing Students to the Application of Statistics and Investigative Methods in Political Science
ERIC Educational Resources Information Center
Wells, Dominic D.; Nemire, Nathan A.
2017-01-01
This exercise introduces students to the application of statistics and its investigative methods in political science. It helps students gain a better understanding and a greater appreciation of statistics through a real world application.
Fostering Students' Statistical Literacy through Significant Learning Experience
ERIC Educational Resources Information Center
Krishnan, Saras
2015-01-01
A major objective of statistics education is to develop students' statistical literacy that enables them to be educated users of data in context. Teaching statistics in today's educational settings is not an easy feat because teachers have a huge task in keeping up with the demands of the new generation of learners. The present day students have…
ERIC Educational Resources Information Center
Mirick, Rebecca G.; Davis, Ashley
2017-01-01
Although statistics and research are key components of social work education, students are often described as reluctant consumers and users of statistics. Self-efficacy theory has been used to understand students' engagement with the statistical knowledge needed for practice. This quantitative study explores the relationship between self-efficacy,…
ERIC Educational Resources Information Center
Nguyen, Thuyuyen H.; Newby, Michael; Skordi, Panayiotis G.
2015-01-01
Statistics is a required subject of study in many academic disciplines, including business, education and psychology, that causes problems for many students. This has long been recognised and there have been a number of studies into students' attitudes towards statistics, particularly statistical anxiety. However, none of these studies…
Puertas, E Benjamín; Rivera, Tamara Y
2016-11-01
To 1) describe patterns of specialty choice; 2) investigate relationships between career selection and selected demographic indicators; and 3) identify salary perception, factors that influence career choice in primary care, and factors that influence desired location of future medical practice. The study used a mixed-methods approach that included a cross-sectional questionnaire survey applied to 234 last-year medical students in Honduras (September 2014), and semi-structured interviews with eight key informants (October 2014). Statistical analysis included chi-square and factor analysis. An alpha level of 0.05 was used to determine significance. In the qualitative analysis, several codes were associated with each other, and five major themes emerged. Primary care careers were the preferred choice for 8.1% of students, who preferred urban settings for future practice location. The perceived salary of specialties other than primary care was significantly higher than those of general practitioners, family practitioners, and pediatricians (P < 0.001). Participants considered "making a difference," income, teaching, prestige, and challenging work the most important factors influencing career choice. Practice in ambulatory settings was significantly associated with a preference for primary care specialties (P = < 0.05). Logistic regression analysis found that factors related to patient-based care were statistically significant for selecting primary care (P = 0.006). The qualitative analysis further endorsed the survey findings, identifying additional factors that influence career choice (future work option; availability of residency positions; and social factors, including violence). Rationales behind preference of a specialty appeared to be based on a combination of ambition and prestige, and on personal and altruistic considerations. Most factors that influence primary care career choice are similar to those found in the literature. There are several factors distinctive to medical students in Honduras-most of them barriers to primary care career choice.
ERIC Educational Resources Information Center
Dierker, Lisa; Alexander, Jalen; Cooper, Jennifer L.; Selya, Arielle; Rose, Jennifer; Dasgupta, Nilanjana
2016-01-01
Introductory statistics needs innovative, evidence-based teaching practices that support and engage diverse students. To evaluate the success of a multidisciplinary, project-based course, we compared experiences of under-represented (URM) and non-underrepresented students in 4 years of the course. While URM students considered the material more…
Zhou, Jia; Ma, Yinghua; Ma, Jun; Zou, Zhiyong; Meng, Xiangkun; Tao, Fangbiao; Luo, Chunyan; Jing, Jin; Pan, Dehong; Luo, Jiayou; Zhang, Xin; Wang, Hong; Zhao, Haiping
2016-01-01
To understand the prevalence of myopia in primary and middle school students in 6 provinces and the possible influencing factors. Primary and middle school students were selected through multistage cluster sampling in 60 primary and middle schools in 6 provinces in China. The questionnaire survey and eyesight test were conducted among all the students selected according to the national student's physique and health survey protocol. Pearson chi-square test and binary multivariate logistic regression analysis were done to identify the influencing factors for myopia in students. The prevalence of myopia among primary and middle school students surveyed was 55.7%, the gender specific difference was statistically significant (59.7% for girls, 51.9% for boys) (P<0.01). The prevalence of myopia increased with age obviously. The prevalence was 35.8% in age group 6-8 years, 58.9% in age group 10-12 years, 73.4% in age group 13-15 years and 81.2% in age group 16-18 years, the differences were statistically significant (P<0.001). Single factor and multivariate analysis showed that parents' myopia, distance between computer screen and eyes, distance less than 30 cm between eyes and book while reading, distance less than 10 cm between chest and the table edge while studying, distance less than 3 cm between fingers and pen tip, sleep time, average outdoor activity time during last week, school sport activities in the afternoon, the size of television set at home, time spent on watching TV and playing computer were the influencing factors for myopia. The prevalence of myopia is till high in primary and middle school students. Myopia is associated with both genetic factors and individual eye health related behaviors.
Peers versus professional training of basic life support in Syria: a randomized controlled trial.
Abbas, Fatima; Sawaf, Bisher; Hanafi, Ibrahem; Hajeer, Mohammad Younis; Zakaria, Mhd Ismael; Abbas, Wafaa; Alabdeh, Fadi; Ibrahim, Nazir
2018-06-18
Peer training has been identified as a useful tool for delivering undergraduate training in basic life support (BLS) which is fundamental as an initial response in cases of emergency. This study aimed to (1) Evaluate the efficacy of peer-led model in basic life support training among medical students in their first three years of study, compared to professional-led training and (2) To assess the efficacy of the course program and students' satisfaction of peer-led training. A randomized controlled trial with blinded assessors was conducted on 72 medical students from the pre-clinical years (1st to 3rd years in Syria) at Syrian Private University. Students were randomly assigned to peer-led or to professional-led training group for one-day-course of basic life support skills. Sixty-four students who underwent checklist based assessment using objective structured clinical examination design (OSCE) (practical assessment of BLS skills) and answered BLS knowledge checkpoint-questionnaire were included in the analysis. There was no statistically significant difference between the two groups in delivering BLS skills to medical students in practical (P = 0.850) and BLS knowledge questionnaire outcomes (P = 0.900). Both groups showed statistically significant improvement from pre- to post-course assessment with significant statistical difference in both practical skills and theoretical knowledge (P-Value < 0.001). Students were satisfied with the peer model of training. Peer-led training of basic life support for medical students was beneficial and it provided a quality of education which was as effective as training conducted by professionals. This method is applicable and desirable especially in poor-resource countries and in crisis situation.
ERIC Educational Resources Information Center
Veas, Alejandro; Gilar, Raquel; Miñano, Pablo; Castejón, Juan Luis
2017-01-01
The present study, based on the construct comparability approach, performs a comparative analysis of general points average for seven courses, using exploratory factor analysis (EFA) and the Partial Credit model (PCM) with a sample of 1398 student subjects (M = 12.5, SD = 0.67) from 8 schools in the province of Alicante (Spain). EFA confirmed a…
Wong, Stanley K; Ramirez, Juan R; Helf, Scott C
2009-11-01
The effect of a variety of preadmission variables, including the number of elective preadmission upper-level science courses, on academic achievement is not well established. To investigate the relationship between number of preadmission variables and overall student academic achievement in osteopathic medical school. Academic records of osteopathic medical students in the 2008 and 2009 graduating classes of Western University of Health Sciences College of Osteopathic Medicine of the Pacific in Pomona, California, were analyzed. Multivariate linear regression analyses were performed to identify predictors of academic achievement based on Medical College Admission Test (MCAT) subscores, undergraduate grade point average (GPA), GPA in medical school basic science (preclinical GPA) and clinical clerkship (clinical GPA), and scores on the Comprehensive Osteopathic Medical Licensing Examination-USA (COMLEX-USA) Level 1 and Level 2-Cognitive Evaluation (CE). Records of 358 osteopathic medical students were evaluated. Analysis of beta coefficients suggested that undergraduate science GPA was the most important predictor of overall student academic achievement (P<.01). Biological sciences MCAT subscore was a more modest but still statistically significant predictor of preclinical GPA and COMLEX-USA Level 1 score (P<.01). Physical sciences MCAT subscore was also a statistically significant predictor of preclinical GPA, and verbal reasoning MCAT subscore was a statistically significant predictor of COMLEX-USA Level 2-CE score (both P<.01). Women had statistically significantly higher preclinical GPA and COMLEX-USA Level 2-CE scores than men (P<.05). Differences in some outcome variables were also associated with racial-ethnic background and age. Number of preadmission elective upper-level science courses taken by students before matriculation was not significantly correlated with any academic achievement variable. Although undergraduate science GPA and MCAT biological sciences subscore were significant predictors of overall academic achievement for osteopathic medical students, the number of elective upper-level science courses taken preadmission had no predictive value.
Munabi, Ian Guyton; Buwembo, William; Joseph, Ruberwa; Peter, Kawungezi; Bajunirwe, Francis; Mwaka, Erisa Sabakaki
2016-01-01
In this study we used a model of adult learning to explore undergraduate students' views on how to improve the teaching of research methods and biostatistics. This was a secondary analysis of survey data of 600 undergraduate students from three medical schools in Uganda. The analysis looked at student's responses to an open ended section of a questionnaire on their views on undergraduate teaching of research methods and biostatistics. Qualitative phenomenological data analysis was done with a bias towards principles of adult learning. Students appreciated the importance of learning research methods and biostatistics as a way of understanding research problems; appropriately interpreting statistical concepts during their training and post-qualification practice; and translating the knowledge acquired. Stressful teaching environment and inadequate educational resource materials were identified as impediments to effective learning. Suggestions for improved learning included: early and continuous exposure to the course; more active and practical approach to teaching; and a need for mentorship. The current methods of teaching research methods and biostatistics leave most of the students in the dissonance phase of learning resulting in none or poor student engagement that results in a failure to comprehend and/or appreciate the principles governing the use of different research methods.
Anxiety and Attitude of Graduate Students in On-Campus vs. Online Statistics Courses
ERIC Educational Resources Information Center
DeVaney, Thomas A.
2010-01-01
This study compared levels of statistics anxiety and attitude toward statistics for graduate students in on-campus and online statistics courses. The Survey of Attitudes Toward Statistics and three subscales of the Statistics Anxiety Rating Scale were administered at the beginning and end of graduate level educational statistic courses.…
Davidson, William; Beck, Hall P
2018-01-01
This study empirically confirmed the relationships between the degree to which students satisfied three basic needs (competence, relatedness, and autonomy) and the strength of their commitments to the university they attended and to obtaining a baccalaureate degree. A questionnaire was administered online to 1257 students at two 4-year universities. Regression analysis yielded statistically significant associations between the three needs and Institutional Commitment and Degree Commitment, explaining more than 20% of the variance in the latter two variables.
A new multidimensional measure of African adolescents' perceptions of teachers' behaviors.
Mboya, M M
1994-04-01
The Perceived Teacher Behavior Inventory was designed to measure three dimensions of students' perceptions of the behaviors of their teachers. This research was conducted to assess the statistical validity and reliability of the instrument administered to 770 students attending two coeducational high schools in Cape Town, South Africa. Factor analysis clearly identified three subscales indicating that the instrument distinguished the students' perceptions of their teachers' behaviors in three areas. Estimates of internal consistency of the subscales were assessed using the squared multiple correlation as the index of reliability.
Challenges of assessing critical thinking and clinical judgment in nurse practitioner students.
Gorton, Karen L; Hayes, Janice
2014-03-01
The purpose of this study was to determine whether there was a relationship between critical thinking skills and clinical judgment in nurse practitioner students. The study used a convenience, nonprobability sampling technique, engaging participants from across the United States. Correlational analysis demonstrated no statistically significant relationship between critical thinking skills and examination-style questions, critical thinking skills and scores on the evaluation and reevaluation of consequences subscale of the Clinical Decision Making in Nursing Scale, and critical thinking skills and the preceptor evaluation tool. The study found no statistically significant relationships between critical thinking skills and clinical judgment. Educators and practitioners could consider further research in these areas to gain insight into how critical thinking is and could be measured, to gain insight into the clinical decision making skills of nurse practitioner students, and to gain insight into the development and measurement of critical thinking skills in advanced practice educational programs. Copyright 2014, SLACK Incorporated.
Cömert, Itır Tarı; Özyeşil, Zümra Atalay; Burcu Özgülük, S
2016-02-01
The aim of the current study was to investigate the contributions of sad childhood experiences, depression, anxiety, and stress, existence of a sense of meaning, and pursuit of meaning in explaining life satisfaction of young adults in Turkey. The sample comprised 400 undergraduate students ( M age = 20.2 yr.) selected via random cluster sampling. There were no statistically significant differences between men and women in terms of their scores on depression, existence of meaning, pursuit of meaning, and life satisfaction scores. However, there were statistically significant differences between men and women on the sad childhood experiences, anxiety and stress. In heirarchical regression analysis, the model as a whole was significant. Depression and existence of meaning in life made unique significant contributions to the variance in satisfaction in life. Students with lower depression and with a sense of meaning in life tended to be more satisfied with life.
The effect of teaching medical ethics on medical students' moral reasoning.
Self, D J; Wolinsky, F D; Baldwin, D C
1989-12-01
A study assessed the effect of incorporating medical ethics into the medical curriculum and the relative effects of two methods of implementing that curriculum, namely, lecture and case-study discussions. Results indicate a statistically significant increase (p less than or equal to .0001) in the level of moral reasoning of students exposed to the medical ethics course, regardless of format. Moreover, the unadjusted posttest scores indicated that the case-study method was significantly (p less than or equal to .03) more effective than the lecture method in increasing students' level of moral reasoning. When adjustment were made for the pretest scores, however, this difference was not statistically significant (p less than or equal to .18). Regression analysis by linear panel techniques revealed that age, gender, undergraduate grade-point average, and scores on the Medical College Admission Test were not related to the changes in moral-reasoning scores. All of the variance that could be explained was due to the students' being in one of the two experimental groups. In comparison with the control group, the change associated with each experimental format was statistically significant (lecture, p less than or equal to .004; case study, p less than or equal to .0001). Various explanations for these findings and their implications are given.
Instructional Advice, Time Advice and Learning Questions in Computer Simulations
ERIC Educational Resources Information Center
Rey, Gunter Daniel
2010-01-01
Undergraduate students (N = 97) used an introductory text and a computer simulation to learn fundamental concepts about statistical analyses (e.g., analysis of variance, regression analysis and General Linear Model). Each learner was randomly assigned to one cell of a 2 (with or without instructional advice) x 2 (with or without time advice) x 2…
Explore the Usefulness of Person-Fit Analysis on Large-Scale Assessment
ERIC Educational Resources Information Center
Cui, Ying; Mousavi, Amin
2015-01-01
The current study applied the person-fit statistic, l[subscript z], to data from a Canadian provincial achievement test to explore the usefulness of conducting person-fit analysis on large-scale assessments. Item parameter estimates were compared before and after the misfitting student responses, as identified by l[subscript z], were removed. The…
A Meta-Analysis of the Effects of Computer Technology on School Students' Mathematics Learning
ERIC Educational Resources Information Center
Li, Qing; Ma, Xin
2010-01-01
This study examines the impact of computer technology (CT) on mathematics education in K-12 classrooms through a systematic review of existing literature. A meta-analysis of 85 independent effect sizes extracted from 46 primary studies involving a total of 36,793 learners indicated statistically significant positive effects of CT on mathematics…
ERIC Educational Resources Information Center
Hoffman, John L.; Bresciani, Marilee J.
2012-01-01
This mixed method study explored the professional competencies that administrators expect from entry-, mid-, and senior-level professionals as reflected in 1,759 job openings posted in 2008. Knowledge, skill, and dispositional competencies were identified during the qualitative phase of the study. Statistical analysis of the prevalence of…
ERIC Educational Resources Information Center
Jeynes, William H.
2007-01-01
A meta-analysis is undertaken, including 52 studies, to determine the influence of parental involvement on the educational outcomes of urban secondary school children. Statistical analyses are done to determine the overall impact of parental involvement as well as specific components of parental involvement. Four different measures of educational…
The Evidence for Efficacy of HPV Vaccines: Investigations in Categorical Data Analysis
ERIC Educational Resources Information Center
Gibbs, Alison L.; Goossens, Emery T.
2013-01-01
Recent approval of HPV vaccines and their widespread provision to young women provide an interesting context to gain experience with the application of statistical methods in current research. We demonstrate how we have used data extracted from a meta-analysis examining the efficacy of HPV vaccines in clinical trials with students in applied…
Investigating Mathematics Teachers' Thoughts of Statistical Inference
ERIC Educational Resources Information Center
Yang, Kai-Lin
2012-01-01
Research on statistical cognition and application suggests that statistical inference concepts are commonly misunderstood by students and even misinterpreted by researchers. Although some research has been done on students' misunderstanding or misconceptions of confidence intervals (CIs), few studies explore either students' or mathematics…
Statistical Reasoning Ability, Self-Efficacy, and Value Beliefs in a University Statistics Course
ERIC Educational Resources Information Center
Olani, A.; Hoekstra, R.; Harskamp, E.; van der Werf, G.
2011-01-01
Introduction: The study investigated the degree to which students' statistical reasoning abilities, statistics self-efficacy, and perceived value of statistics improved during a reform based introductory statistics course. The study also examined whether the changes in these learning outcomes differed with respect to the students' mathematical…
Is GAISE Evident? College Students' Perceptions of Statistics Classes as "Almost Not Math"
ERIC Educational Resources Information Center
Hedges, Sarai; Harkness, Shelly Sheats
2017-01-01
The connection between mathematics and statistics is an important aspect in understanding college students' learning of statistics because studies have shown relationships among mathematics attitudes and performance and statistics attitudes. Statistics attitudes, in turn, are related to performance in statistics courses. Little research has been…
Booth, Rachelle; Hernandez, Magaly; Baker, Erica L; Grajales, Tevni; Pribis, Peter
2013-01-30
College students are one of the most at-risk population groups for food poisoning, due to risky food safety behaviors. Using the Likert Scale, undergraduate students were asked to participate in a Food Safety Survey which was completed by 499 students ages 18-25. Data was analyzed using SPSS and AMOS statistical software. Four conceptual definitions regarding food safety were defined as: general food safety, bacterial food safety, produce food safety, and politics associated with food safety. Knowledge seems to be an important factor in shaping students attitudes regarding general and bacterial safety. Ethnicity plays a role in how people view the politics of food safety, and the safety of organic foods.
Ing-Arahm, Rungsima; Suppuang, Arunya; Imjaijitt, Worarachanee
2010-11-01
Phramongkutklao College of Medicine is a military medical school and also a health promotion school. As a result, encouraging these medical students to have good attitude toward exercise is considered an important mission for the college. To study the attitudes of medical students at Phramongkutklao College of Medicine about exercise for health promotion. This survey research was carried out in 382 medical students in Academic Year 2008 using questionnaires including personal information, attitude testing and open-ended questions. Statistical analysis was conducted using descriptive analysis: percentage and mean and comparative analysis: t-test and F-test. The overall attitudes of medical students toward exercise were good. The attitudes of the medical cadets were better than those of the civilian medical students. The attitudes and also knowledge about exercise of the higher-year students were generally better than those of the lower-year ones. The attitudes of healthy medical students were higher than those of unhealthy ones. No significant difference in attitude was found between male and female students and between those with different Body Mass Indexes (BMI) and those with different in exercise duration and frequency. The overall medical students' attitudes toward exercise for health promotion in Phramongkutklao College of Medicine were good. The influencial factors were found to be status of medical students, stage of medical study and health status.
Gowd, Snigdha; Shankar, T; Dash, Samarendra; Sahoo, Nivedita; Chatterjee, Suravi; Mohanty, Pritam
2017-01-01
The aim of the study was to evaluate the reliability of cone beam computed tomography (CBCT) obtained image over plaster model for the assessment of mixed dentition analysis. Thirty CBCT-derived images and thirty plaster models were derived from the dental archives, and Moyer's and Tanaka-Johnston analyses were performed. The data obtained were interpreted and analyzed statistically using SPSS 10.0/PC (SPSS Inc., Chicago, IL, USA). Descriptive and analytical analysis along with Student's t -test was performed to qualitatively evaluate the data and P < 0.05 was considered statistically significant. Statistically, significant results were obtained on data comparison between CBCT-derived images and plaster model; the mean for Moyer's analysis in the left and right lower arch for CBCT and plaster model was 21.2 mm, 21.1 mm and 22.5 mm, 22.5 mm, respectively. CBCT-derived images were less reliable as compared to data obtained directly from plaster model for mixed dentition analysis.
Relationships between medical student burnout, empathy, and professionalism climate.
Brazeau, Chantal M L R; Schroeder, Robin; Rovi, Sue; Boyd, Linda
2010-10-01
Medical student burnout is prevalent, and there has been much discussion about burnout and professionalism in medical education and the clinical learning environment. Yet, few studies have attempted to explore relationships between those issues using validated instruments. Medical students were surveyed at the beginning of their fourth year using the Maslach Burnout Inventory, the Jefferson Scale of Physician Empathy-Student Version, and the Professionalism Climate Instrument. The data were analyzed using Statistical Package for the Social Sciences, and Spearman correlation analysis was performed. Scores indicative of higher medical student burnout were associated with lower medical student empathy scores and with lower professionalism climate scores observed in medical students, residents, and faculty. Investigators observed relationships between medical student burnout, empathy, and professionalism climate. These findings may have implications for the design of curriculum interventions to promote student well-being and professionalism.
NASA Astrophysics Data System (ADS)
Wendt, Jillian Leigh
This study examines the effects of online collaborative learning on middle school students' science literacy and sense of community. A quantitative, quasi-experimental pretest/posttest control group design was used. Following IRB approval and district superintendent approval, students at a public middle school in central Virginia completed a pretest consisting of the Misconceptions-Oriented Standards-Based Assessment Resources for Teachers (MOSART) Physical Science assessment and the Classroom Community Scale. Students in the control group received in-class assignments that were completed collaboratively in a face-to-face manner. Students in the experimental group received in-class assignments that were completed online collaboratively through the Edmodo educational platform. Both groups were members of intact, traditional face-to-face classrooms. The students were then post tested. Results pertaining to the MOSART assessment were statistically analyzed through ANCOVA analysis while results pertaining to the Classroom Community Scale were analyzed through MANOVA analysis. Results are reported and suggestions for future research are provided.
ERIC Educational Resources Information Center
Neumann, David L.; Hood, Michelle; Neumann, Michelle M.
2013-01-01
Many teachers of statistics recommend using real-life data during class lessons. However, there has been little systematic study of what effect this teaching method has on student engagement and learning. The present study examined this question in a first-year university statistics course. Students (n = 38) were interviewed and their reflections…
ERIC Educational Resources Information Center
Huang, Liuli
2018-01-01
Research frequently uses the quantitative approach to explore undergraduate students' anxiety regarding statistics. However, few studies of adults' statistics anxiety use the qualitative method, or a sole focus on graduate students. Moreover, even fewer studies focus on a comparison of adults' anxiety levels before and after an introductory…
ERIC Educational Resources Information Center
Wu, Yazhou; Zhang, Ling; Liu, Ling; Zhang, Yanqi; Liu, Xiaoyu; Yi, Dong
2015-01-01
It is clear that the teaching of medical statistics needs to be improved, yet areas for priority are unclear as medical students' learning and application of statistics at different levels is not well known. Our goal is to assess the attitudes of medical students toward the learning and application of medical statistics, and discover their…
ERIC Educational Resources Information Center
Wimpey, Amanda Dickard
2010-01-01
Because the high school statistics curriculum is often teacher centered and lacking in innovativeness, students tend to struggle academically in statistics courses, particularly those students who are served by special education. This problem has been linked to a student's motivation to learn. The purpose of this study was to investigate the…
ERIC Educational Resources Information Center
Adetona, Abel Adekanmi
2017-01-01
The study aimed at assessing how students and teachers factor taken together influence students' achievement in Statistics as well as their relative contribution to the prediction. Two research questions were raised and purposive sampling was adopted to select national diploma year 2 students since they are already in their final level in the…
NASA Astrophysics Data System (ADS)
Al-Saidi, Ahmed Mohammad
The purpose of this study was to examine the effect of an explicit versus an implicit instructional approach during technology-based curriculum on students' understanding of the nature of science (NOS) within an introductory biology course. The study emphasized the inferential and tentative nature of science. The intervention or explicit group was involved in inquiry activities followed by discussions that were directly geared towards the target aspects of NOS. The implicit group was engaged in the same activities but received instruction devoid of direct reference to the NOS aspects. Students in both groups spent identical amount of time on task. Selected items of the Views of Nature of Science Questionnaire (VNOS) together with semi-structured interviews were used to evaluate students' NOS conceptions before and at the end of the intervention, which lasted two weeks. A quantitative analysis using chi-square of students' pre-intervention NOS views as provided by the VNOS questionnaires revealed that there was not a statistically significant difference between implicit and explicit groups in both targeted NOS aspects, with (p = 0.18) and (p = 0.34) for inferential and tentative NOS, respectively. However the same analysis indicated statistical significance difference for post-intervention between implicit and explicit groups, yielding (p < 0.02) and (p < 0.002) for both inferential and tentative NOS, respectively. A qualitative analysis of students' pre and post-intervention views of the target aspects of NOS as well as semi-structured interviews for both groups was also conducted. Before intervention, the number of informed NOS responses in both groups was not considerably different. However, analysis of post-intervention NOS views indicated that more students in the explicit group demonstrated informed views of the NOS aspects than in the implicit group. Therefore, the analysis of the data indicated that, in this particular study, engaging students in inquiry-based activities followed by explicit discussion that is geared toward NOS aspects was more effective than merely involving them in implicit, inquiry-based instruction. The imperative finding of the present study provides evidence that teaching the NOS could be achieved through short-intensive discussion and does not necessarily require separate and independent courses.
Longitudinal Analysis of Student Performance in a Dental Hygiene Distance Education Program.
ERIC Educational Resources Information Center
Olmsted, Jodi L.
2002-01-01
Examined over the course of five years whether learners who receive face-to-face instruction in a dental hygiene program performed statistically better on established benchmark assessments than learners at a distance. Found no significant differences. (EV)
Which statistics should tropical biologists learn?
Loaiza Velásquez, Natalia; González Lutz, María Isabel; Monge-Nájera, Julián
2011-09-01
Tropical biologists study the richest and most endangered biodiversity in the planet, and in these times of climate change and mega-extinctions, the need for efficient, good quality research is more pressing than in the past. However, the statistical component in research published by tropical authors sometimes suffers from poor quality in data collection; mediocre or bad experimental design and a rigid and outdated view of data analysis. To suggest improvements in their statistical education, we listed all the statistical tests and other quantitative analyses used in two leading tropical journals, the Revista de Biología Tropical and Biotropica, during a year. The 12 most frequent tests in the articles were: Analysis of Variance (ANOVA), Chi-Square Test, Student's T Test, Linear Regression, Pearson's Correlation Coefficient, Mann-Whitney U Test, Kruskal-Wallis Test, Shannon's Diversity Index, Tukey's Test, Cluster Analysis, Spearman's Rank Correlation Test and Principal Component Analysis. We conclude that statistical education for tropical biologists must abandon the old syllabus based on the mathematical side of statistics and concentrate on the correct selection of these and other procedures and tests, on their biological interpretation and on the use of reliable and friendly freeware. We think that their time will be better spent understanding and protecting tropical ecosystems than trying to learn the mathematical foundations of statistics: in most cases, a well designed one-semester course should be enough for their basic requirements.
Chem-2-Chem: A One-to-One Supportive Learning Environment for Chemistry
NASA Astrophysics Data System (ADS)
Báez-Galib, Rosita; Colón-Cruz, Héctor; Resto, Wilfredo; Rubin, Michael R.
2005-12-01
The Chem-2-Chem (C2C) tutoring mentoring program was developed at the University of Puerto Rico at Cayey, an undergraduate institution serving Hispanic students, to increase student retention and help students achieve successful general chemistry course outcomes. This program provides a supportive learning environment designed to address students' academic and emotional needs in a holistic way. Advanced chemistry students offered peer-led, personalized, and individualized learning experiences through tutoring and mentoring to approximately 21% of students enrolled in the general chemistry course. Final grades from official class lists of all general chemistry course sections were analyzed using Student's t -test, paired t -test, and χ 2 analysis. Results during the seven semesters studied show an increase of 29% in successful course outcomes defined as final letter grades of A, B, and C obtained by Chem-2-Chem participants. For each final grade, highly statistically significant differences between participants and nonparticipants were detected. There were also statistically significant differences between successful course outcomes obtained by participants and nonparticipants for each of the semesters studied. This research supports recent trends in chemical education to provide a social context for learning experiences. This peer-led learning strategy can serve as an effective model to achieve excellence in science courses at a wide range of educational institutions.
Project-based introduction to aerospace engineering course: A model rocket
NASA Astrophysics Data System (ADS)
Jayaram, Sanjay; Boyer, Lawrence; George, John; Ravindra, K.; Mitchell, Kyle
2010-05-01
In this paper, a model rocket project suitable for sophomore aerospace engineering students is described. This project encompasses elements of drag estimation, thrust determination and analysis using digital data acquisition, statistical analysis of data, computer aided drafting, programming, team work and written communication skills. The student built rockets are launched in the university baseball field with the objective of carrying a specific amount of payload so that the rocket achieves a specific altitude before the parachute is deployed. During the course of the project, the students are introduced to real-world engineering practice through written report submission of their designs. Over the years, the project has proven to enhance the learning objectives, yet cost effective and has provided good outcome measures.
Skrzypek, Agnieszka; Szeliga, Marta; Stalmach-Przygoda, Agata; Kowalska, Bogumila; Jabłoński, Konrad; Nowakowski, Michal
Reduction of risk factors of atherosclerosis, lifestyle modification significantly cause the reduction in the incidence, morbidity and mortality of cardiovascular diseases (CVDs). Objective: To evaluate cardiovascular risk factors and analyze the lifestyle of students finishing the first year of studies at selected universities in Krakow. The study was performed in 2015roku. 566 students finishing the first year of study, including 319 (56.4%) men and 247 (43.6%) women were examined. The students were in age from 18 to 27 years, an average of 20.11± 1.15 years. They represented 6 different universities in Cracow. In order to assess eating habits, lifestyle and analysis of risk factors of cardiovascular disease was used method of diagnostic survey using the survey technique. BMI was calculated from anthropometric measurements. The program Statistica 12.0 were used in statistical analysis. The analysis showed that most fruits and vegetables consume UR students and AWF, least of AGH. Only 34.8% of students regularly consume fish of the sea, there were no significant differences between universities. Sports frequently cultivate the students of AWF (93% of the students of this university). Academy of Fine Arts students drink the most coffee. Students of AGH frequently consume alcohol. 60% of all students never tried drugs, but only 25.7% of student of Fine Arts never tried drugs. Overweight occurs in 12.6% of students, and obesity in 1.1%. The most risk factors of atherosclerosis occur in students of AGH and ASP. The results of the study clearly indicate on the necessity of implementation of prevention and improvement of health behaviors in students of AGH and ASP universities.
The Sport Students’ Ability of Literacy and Statistical Reasoning
NASA Astrophysics Data System (ADS)
Hidayah, N.
2017-03-01
The ability of literacy and statistical reasoning is very important for the students of sport education college due to the materials of statistical learning can be taken from their many activities such as sport competition, the result of test and measurement, predicting achievement based on training, finding connection among variables, and others. This research tries to describe the sport education college students’ ability of literacy and statistical reasoning related to the identification of data type, probability, table interpretation, description and explanation by using bar or pie graphic, explanation of variability, interpretation, the calculation and explanation of mean, median, and mode through an instrument. This instrument is tested to 50 college students majoring in sport resulting only 26% of all students have the ability above 30% while others still below 30%. Observing from all subjects; 56% of students have the ability of identification data classification, 49% of students have the ability to read, display and interpret table through graphic, 27% students have the ability in probability, 33% students have the ability to describe variability, and 16.32% students have the ability to read, count and describe mean, median and mode. The result of this research shows that the sport students’ ability of literacy and statistical reasoning has not been adequate and students’ statistical study has not reached comprehending concept, literary ability trining and statistical rasoning, so it is critical to increase the sport students’ ability of literacy and statistical reasoning
ERIC Educational Resources Information Center
Garfield, Joan; Ben-Zvi, Dani
2009-01-01
This article describes a model for an interactive, introductory secondary- or tertiary-level statistics course that is designed to develop students' statistical reasoning. This model is called a "Statistical Reasoning Learning Environment" and is built on the constructivist theory of learning.
Baghi, Heibatollah; Kornides, Melanie L
2013-01-01
Health care professionals require some understanding of statistics to successfully implement evidence based practice. Developing competency in statistical reasoning is necessary for students training in health care administration, research, and clinical care. Recently, the interest in healthcare professional's attitudes toward statistics has increased substantially due to evidence that these attitudes can hinder professionalism developing an understanding of statistical concepts. In this study, we analyzed pre- and post-instruction attitudes towards and knowledge of statistics obtained from health science graduate students, including nurses and nurse practitioners, enrolled in an introductory graduate course in statistics (n = 165). Results show that the students already held generally positive attitudes toward statistics at the beginning of course. However, these attitudes-along with the students' statistical proficiency-improved after 10 weeks of instruction. The results have implications for curriculum design and delivery methods as well as for health professionals' effective use of statistics in critically evaluating and utilizing research in their practices.
Using root cause analysis to promote critical thinking in final year Bachelor of Midwifery students.
Carter, Amanda G; Sidebotham, Mary; Creedy, Debra K; Fenwick, Jennifer; Gamble, Jenny
2014-06-01
Midwives require well developed critical thinking to practice autonomously. However, multiple factors impinge on students' deep learning in the clinical context. Analysis of actual case scenarios using root cause analysis may foster students' critical thinking and application of 'best practice' principles in complex clinical situations. To examine the effectiveness of an innovative teaching strategy involving root cause analysis to develop students' perceptions of their critical thinking abilities. A descriptive, mixed methods design was used. Final 3rd year undergraduate midwifery students (n=22) worked in teams to complete and present an assessment item based on root cause analysis. The cases were adapted from coroners' reports. After graduation, 17 (77%) students evaluated the course using a standard university assessment tool. In addition 12 (54%) students provided specific feedback on the teaching strategy using a 16-item survey tool based on the domain concepts of Educational Acceptability, Educational Impact, and Preparation for Practice. Survey responses were on a 5-point Likert scale and analysed using descriptive statistics. Open-ended responses were analysed using content analysis. The majority of students perceived the course and this teaching strategy positively. The domain mean scores were high for Educational Acceptability (mean=4.3, SD=.49) and Educational Impact (mean=4.19, SD=.75) but slightly lower for Preparation for Practice (mean=3.7, SD=.77). Overall student responses to each item were positive with no item mean less than 3.42. Students found the root cause analysis challenging and time consuming but reported development of critical thinking skills about the complexity of practice, clinical governance and risk management principles. Analysing complex real life clinical cases to determine a root cause enhanced midwifery students' perceptions of their critical thinking. Teaching and assessment strategies to promote critical thinking need to be made explicit to students in order to foster ongoing development. © 2013.
ERIC Educational Resources Information Center
Dalton, Ben; Sable, Jennifer; Hoffman, Lee
2006-01-01
The purpose of this publication is to provide basic descriptive information about the 100 largest school districts (ranked by student membership, that is, the number of students enrolled at the beginning of the school year) for the 2003-04 school year in the 50 states, the District of Columbia, Puerto Rico, the Bureau of Indian Affairs, the…
Critical Thinking Skills of U.S. Air Force Senior and Intermediate Developmental Education Students
2016-02-16
SAASS), and Air War College (AWC). T-tests indicated no statistically significant difference in the CT skills of the sample of ACSC and AWC students...hypothesis that there was no statistically significant difference in the CT skills of IDE and SDE students. SAASS, as a more selective advanced studies...potential to develop CT skills, concluding, “students in the experimental group performed at a statistically significantly higher level than students in
Teaching Statistics in Integration with Psychology
ERIC Educational Resources Information Center
Wiberg, Marie
2009-01-01
The aim was to revise a statistics course in order to get the students motivated to learn statistics and to integrate statistics more throughout a psychology course. Further, we wish to make students become more interested in statistics and to help them see the importance of using statistics in psychology research. To achieve this goal, several…
ERIC Educational Resources Information Center
Jacob, Bridgette L.
2013-01-01
The difficulties introductory statistics students have with formal statistical inference are well known in the field of statistics education. "Informal" statistical inference has been studied as a means to introduce inferential reasoning well before and without the formalities of formal statistical inference. This mixed methods study…
ERIC Educational Resources Information Center
Braham, Hana Manor; Ben-Zvi, Dani
2017-01-01
A fundamental aspect of statistical inference is representation of real-world data using statistical models. This article analyzes students' articulations of statistical models and modeling during their first steps in making informal statistical inferences. An integrated modeling approach (IMA) was designed and implemented to help students…
Evidence-Based Medicine as a Tool for Undergraduate Probability and Statistics Education.
Masel, J; Humphrey, P T; Blackburn, B; Levine, J A
2015-01-01
Most students have difficulty reasoning about chance events, and misconceptions regarding probability can persist or even strengthen following traditional instruction. Many biostatistics classes sidestep this problem by prioritizing exploratory data analysis over probability. However, probability itself, in addition to statistics, is essential both to the biology curriculum and to informed decision making in daily life. One area in which probability is particularly important is medicine. Given the preponderance of pre health students, in addition to more general interest in medicine, we capitalized on students' intrinsic motivation in this area to teach both probability and statistics. We use the randomized controlled trial as the centerpiece of the course, because it exemplifies the most salient features of the scientific method, and the application of critical thinking to medicine. The other two pillars of the course are biomedical applications of Bayes' theorem and science and society content. Backward design from these three overarching aims was used to select appropriate probability and statistics content, with a focus on eliciting and countering previously documented misconceptions in their medical context. Pretest/posttest assessments using the Quantitative Reasoning Quotient and Attitudes Toward Statistics instruments are positive, bucking several negative trends previously reported in statistics education. © 2015 J. Masel et al. CBE—Life Sciences Education © 2015 The American Society for Cell Biology. This article is distributed by The American Society for Cell Biology under license from the author(s). It is available to the public under an Attribution–Noncommercial–Share Alike 3.0 Unported Creative Commons License (http://creativecommons.org/licenses/by-nc-sa/3.0).
Critiquing Statistics in Student and Professional Worlds
ERIC Educational Resources Information Center
Jones, Ryan Seth; Lehrer, Richard; Kim, Min-Joung
2017-01-01
This article compares students' critiques within a class discussion about an invented statistic to STEM professionals' critiques from interviews to better understand how the situated meanings of a statistic are similar and different across student and professional worlds. We discuss similarities and differences in how participants constructed…
Freeman, Jenny V; Collier, Steve; Staniforth, David; Smith, Kevin J
2008-01-01
Background Statistics is relevant to students and practitioners in medicine and health sciences and is increasingly taught as part of the medical curriculum. However, it is common for students to dislike and under-perform in statistics. We sought to address these issues by redesigning the way that statistics is taught. Methods The project brought together a statistician, clinician and educational experts to re-conceptualize the syllabus, and focused on developing different methods of delivery. New teaching materials, including videos, animations and contextualized workbooks were designed and produced, placing greater emphasis on applying statistics and interpreting data. Results Two cohorts of students were evaluated, one with old style and one with new style teaching. Both were similar with respect to age, gender and previous level of statistics. Students who were taught using the new approach could better define the key concepts of p-value and confidence interval (p < 0.001 for both). They were more likely to regard statistics as integral to medical practice (p = 0.03), and to expect to use it in their medical career (p = 0.003). There was no significant difference in the numbers who thought that statistics was essential to understand the literature (p = 0.28) and those who felt comfortable with the basics of statistics (p = 0.06). More than half the students in both cohorts felt that they were comfortable with the basics of medical statistics. Conclusion Using a variety of media, and placing emphasis on interpretation can help make teaching, learning and understanding of statistics more people-centred and relevant, resulting in better outcomes for students. PMID:18452599