ERIC Educational Resources Information Center
McGill, Ryan J.; Canivez, Gary L.
2016-01-01
As recommended by Carroll, the present study examined the factor structure of the Wechsler Intelligence Scale for Children-Fourth Edition Spanish (WISC-IV Spanish) normative sample using higher order exploratory factor analytic techniques not included in the WISC-IV Spanish Technical Manual. Results indicated that the WISC-IV Spanish subtests were…
Comparisons of Exploratory and Confirmatory Factor Analysis.
ERIC Educational Resources Information Center
Daniel, Larry G.
Historically, most researchers conducting factor analysis have used exploratory methods. However, more recently, confirmatory factor analytic methods have been developed that can directly test theory either during factor rotation using "best fit" rotation methods or during factor extraction, as with the LISREL computer programs developed…
ERIC Educational Resources Information Center
Dombrowski, Stefan C.; Watkins, Marley W.; Brogan, Michael J.
2009-01-01
This study investigated the factor structure of the Reynolds Intellectual Assessment Scales (RIAS) using rigorous exploratory factor analytic and factor extraction procedures. The results of this study indicate that the RIAS is a single factor test. Despite these results, higher order factor analysis using the Schmid-Leiman procedure indicates…
Existential Measurement: A Factor Analytic Study of Some Current Psychometric Instruments.
ERIC Educational Resources Information Center
Thauberger, Patrick C.; And Others
1982-01-01
Research in existentialism and ontology has given rise to several psychometric instruments. Used both exploratory and confirmatory principal-factor analyses to study relationships among 16 existential scales. Exploratory factor analysis provided some support of the theory that the avoidance of existential confrontation is a central function of…
ERIC Educational Resources Information Center
Peter, Beate; Matsushita, Mark; Raskind, Wendy H.
2011-01-01
Purpose: To investigate processing speed as a latent dimension in children with dyslexia and children and adults with typical reading skills. Method: Exploratory factor analysis (FA) was based on a sample of multigenerational families, each ascertained through a child with dyslexia. Eleven measures--6 of them timed--represented verbal and…
ERIC Educational Resources Information Center
Choi, Namok; Fuqua, Dale R.; Newman, Jody L.
2009-01-01
The short form of the Bem Sex Role Inventory (BSRI) contains half as many items as the long form and yet has often demonstrated better reliability and validity. This study uses exploratory and confirmatory factor analytic methods to examine the structure of the short form of the BSRI. A structure noted elsewhere also emerged here, consisting of…
Mansolf, Maxwell; Reise, Steven P.
2017-01-01
Analytic bifactor rotations (Jennrich & Bentler, 2011, 2012) have been recently developed and made generally available, but are not well understood. The Jennrich-Bentler analytic bifactor rotations (bi-quartimin and bi-geomin) are an alternative to, and arguably an improvement upon, the less technically sophisticated Schmid-Leiman orthogonalization (Schmid & Leiman, 1957). We review the technical details that underlie the Schmid-Leiman and Jennrich-Bentler bifactor rotations, using simulated data structures to illustrate important features and limitations. For the Schmid-Leiman, we review the problem of inaccurate parameter estimates caused by the linear dependencies, sometimes called “proportionality constraints,” that are required to expand a p correlated factors solution into a (p+1) (bi)factor space. We also review the complexities involved when the data depart from perfect cluster structure (e.g., item cross-loading on group factors). For the Jennrich-Bentler rotations, we describe problems in parameter estimation caused by departures from perfect cluster structure. In addition, we illustrate the related problems of: (a) solutions that are not invariant under different starting values (i.e., local minima problems); and, (b) group factors collapsing onto the general factor. Recommendations are made for substantive researchers including examining all local minima and applying multiple exploratory techniques in an effort to identify an accurate model. PMID:27612521
ERIC Educational Resources Information Center
Wiggins, R. D.; Netuveli, G.; Hyde, M.; Higgs, P.; Blane, D.
2008-01-01
This paper describes the conceptual development of a self-enumerated scale of quality of life (CASP-19) and presents an empirical evaluation of its structure using a combination of exploratory and confirmatory factor analytic approaches across three different survey settings for older people living in England and Wales in the new millennium. All…
ERIC Educational Resources Information Center
Malpique, Anabela Abreu; Veiga Simão, Ana Margarida
2015-01-01
This study reports on the construction of a questionnaire to assess ninth-grade students' use of self-regulated strategies for school writing tasks. Exploratory and confirmatory factorial analyses were conducted to validate the factor structure of the instrument. The initial factor analytic stage (n = 296) revealed a 13-factor scale, accounting…
Measuring Parenting Practices among Parents of Elementary School-Age Youth
ERIC Educational Resources Information Center
Randolph, Karen A.; Radey, Melissa
2011-01-01
Objectives: The objective of this study is to establish the factor structure of the Alabama Parenting Questionnaire (APQ), an instrument designed to measure parenting practices among parents of elementary school children. Methods: Exploratory (EFA) and confirmatory factor analytic (CFA) procedures are used to validate the APQ with 790 parents of…
ERIC Educational Resources Information Center
Arnau, Randolph C.; Broman-Fulks, Joshua J.; Green, Bradley A.; Berman, Mitchell E.
2009-01-01
The most commonly used measure of anxiety sensitivity is the 36-item Anxiety Sensitivity Index--Revised (ASI-R). Exploratory factor analyses have produced several different factors structures for the ASI-R, but an acceptable fit using confirmatory factor analytic approaches has only been found for a 21-item version of the instrument. We evaluated…
Latent structure of the Wisconsin Card Sorting Test: a confirmatory factor analytic study.
Greve, Kevin W; Stickle, Timothy R; Love, Jeffrey M; Bianchini, Kevin J; Stanford, Matthew S
2005-05-01
The present study represents the first large scale confirmatory factor analysis of the Wisconsin Card Sorting Test (WCST). The results generally support the three factor solutions reported in the exploratory factor analysis literature. However, only the first factor, which reflects general executive functioning, is statistically sound. The secondary factors, while likely reflecting meaningful cognitive abilities, are less stable except when all subjects complete all 128 cards. It is likely that having two discontinuation rules for the WCST has contributed to the varied factor analytic solutions reported in the literature and early discontinuation may result in some loss of useful information. Continued multivariate research will be necessary to better clarify the processes underlying WCST performance and their relationships to one another.
Olino, Thomas M; McMakin, Dana L; Forbes, Erika E
2016-11-20
Positive emotionality, anhedonia, and reward sensitivity share motivational and experiential elements of approach motivation and pleasure. Earlier work has examined the interrelationships among these constructs from measures of extraversion. More recently, the Research Domain Criteria introduced the Positive Valence Systems as a primary dimension to better understand psychopathology. However, the suggested measures tapping this construct have not yet been integrated within the structural framework of personality, even at the level of self-report. Thus, this study conducted exploratory factor and exploratory bifactor analyses on 17 different dimensions relevant to approach motivation, spanning anhedonia, behavioral activation system functioning, and positive emotionality. Convergent validity of these dimensions is tested by examining associations with depressive symptoms. Relying on multiple indices of fit, our preferred model included a general factor along with specific factors of affiliation, positive emotion, assertiveness, and pleasure seeking. These factors demonstrated different patterns of association with depressive symptoms. We discuss the plausibility of this model and highlight important future directions for work on the structure of a broad Positive Valence Systems construct. © The Author(s) 2016.
The Structure of Temperament in Preschoolers: A Two-Stage Factor Analytic Approach
Dyson, Margaret W.; Olino, Thomas M.; Durbin, C. Emily; Goldsmith, H. Hill; Klein, Daniel N.
2012-01-01
The structure of temperament traits in young children has been the subject of extensive debate, with separate models proposing different trait dimensions. This research has relied almost exclusively on parent-report measures. The present study used an alternative approach, a laboratory observational measure, to explore the structure of temperament in preschoolers. A 2-stage factor analytic approach, exploratory factor analyses (n = 274) followed by confirmatory factor analyses (n = 276), was used. We retrieved an adequately fitting model that consisted of 5 dimensions: Sociability, Positive Affect/Interest, Dysphoria, Fear/Inhibition, and Constraint versus Impulsivity. This solution overlaps with, but is also distinct from, the major models derived from parent-report measures. PMID:21859196
ERIC Educational Resources Information Center
Dowdy, Erin; Chin, Jenna K.; Twyford, Jennifer M.; Dever, Bridget V.
2011-01-01
The Behavior Assessment System for Children, Second Edition (BASC-2) Behavioral and Emotional Screening System Parent Form (BESS Parent; Kamphaus & Reynolds, 2007) is a recently developed instrument designed to identify behavioral and emotional risk in students. To describe the underlying factor structure for this instrument, exploratory (EFA)…
Exploratory factor analysis of self-reported symptoms in a large, population-based military cohort
2010-01-01
Background US military engagements have consistently raised concern over the array of health outcomes experienced by service members postdeployment. Exploratory factor analysis has been used in studies of 1991 Gulf War-related illnesses, and may increase understanding of symptoms and health outcomes associated with current military conflicts in Iraq and Afghanistan. The objective of this study was to use exploratory factor analysis to describe the correlations among numerous physical and psychological symptoms in terms of a smaller number of unobserved variables or factors. Methods The Millennium Cohort Study collects extensive self-reported health data from a large, population-based military cohort, providing a unique opportunity to investigate the interrelationships of numerous physical and psychological symptoms among US military personnel. This study used data from the Millennium Cohort Study, a large, population-based military cohort. Exploratory factor analysis was used to examine the covariance structure of symptoms reported by approximately 50,000 cohort members during 2004-2006. Analyses incorporated 89 symptoms, including responses to several validated instruments embedded in the questionnaire. Techniques accommodated the categorical and sometimes incomplete nature of the survey data. Results A 14-factor model accounted for 60 percent of the total variance in symptoms data and included factors related to several physical, psychological, and behavioral constructs. A notable finding was that many factors appeared to load in accordance with symptom co-location within the survey instrument, highlighting the difficulty in disassociating the effects of question content, location, and response format on factor structure. Conclusions This study demonstrates the potential strengths and weaknesses of exploratory factor analysis to heighten understanding of the complex associations among symptoms. Further research is needed to investigate the relationship between factor analytic results and survey structure, as well as to assess the relationship between factor scores and key exposure variables. PMID:20950474
Non-negative Tensor Factorization for Robust Exploratory Big-Data Analytics
DOE Office of Scientific and Technical Information (OSTI.GOV)
Alexandrov, Boian; Vesselinov, Velimir Valentinov; Djidjev, Hristo Nikolov
Currently, large multidimensional datasets are being accumulated in almost every field. Data are: (1) collected by distributed sensor networks in real-time all over the globe, (2) produced by large-scale experimental measurements or engineering activities, (3) generated by high-performance simulations, and (4) gathered by electronic communications and socialnetwork activities, etc. Simultaneous analysis of these ultra-large heterogeneous multidimensional datasets is often critical for scientific discoveries, decision-making, emergency response, and national and global security. The importance of such analyses mandates the development of the next-generation of robust machine learning (ML) methods and tools for bigdata exploratory analysis.
Exploratory structural equation modeling of personality data.
Booth, Tom; Hughes, David J
2014-06-01
The current article compares the use of exploratory structural equation modeling (ESEM) as an alternative to confirmatory factor analytic (CFA) models in personality research. We compare model fit, factor distinctiveness, and criterion associations of factors derived from ESEM and CFA models. In Sample 1 (n = 336) participants completed the NEO-FFI, the Trait Emotional Intelligence Questionnaire-Short Form, and the Creative Domains Questionnaire. In Sample 2 (n = 425) participants completed the Big Five Inventory and the depression and anxiety scales of the General Health Questionnaire. ESEM models provided better fit than CFA models, but ESEM solutions did not uniformly meet cutoff criteria for model fit. Factor scores derived from ESEM and CFA models correlated highly (.91 to .99), suggesting the additional factor loadings within the ESEM model add little in defining latent factor content. Lastly, criterion associations of each personality factor in CFA and ESEM models were near identical in both inventories. We provide an example of how ESEM and CFA might be used together in improving personality assessment. © The Author(s) 2014.
Canivez, Gary L; Watkins, Marley W; Dombrowski, Stefan C
2016-08-01
The factor structure of the 16 Primary and Secondary subtests of the Wechsler Intelligence Scale for Children-Fifth Edition (WISC-V; Wechsler, 2014a) standardization sample was examined with exploratory factor analytic methods (EFA) not included in the WISC-V Technical and Interpretive Manual (Wechsler, 2014b). Factor extraction criteria suggested 1 to 4 factors and results favored 4 first-order factors. When this structure was transformed with the Schmid and Leiman (1957) orthogonalization procedure, the hierarchical g-factor accounted for large portions of total and common variance while the 4 first-order factors accounted for small portions of total and common variance; rendering interpretation at the factor index level less appropriate. Although the publisher favored a 5-factor model where the Perceptual Reasoning factor was split into separate Visual Spatial and Fluid Reasoning dimensions, no evidence for 5 factors was found. It was concluded that the WISC-V provides strong measurement of general intelligence and clinical interpretation should be primarily, if not exclusively, at that level. (PsycINFO Database Record (c) 2016 APA, all rights reserved).
Exploratory Analysis in Learning Analytics
ERIC Educational Resources Information Center
Gibson, David; de Freitas, Sara
2016-01-01
This article summarizes the methods, observations, challenges and implications for exploratory analysis drawn from two learning analytics research projects. The cases include an analysis of a games-based virtual performance assessment and an analysis of data from 52,000 students over a 5-year period at a large Australian university. The complex…
Using Primary Sources to Teach Civil War History: A Case Study in Pedagogical Decision Making
ERIC Educational Resources Information Center
Snook, David L.
2017-01-01
This exploratory study combined the process of modified analytic induction with a mixed methods approach to analyze various factors that affected or might have affected participating teachers' decisions to use or not use various primary source based teaching strategies to teach historical thinking skills. Four participating eighth and ninth grade…
Ng, Vincent; Cao, Mengyang; Marsh, Herbert W; Tay, Louis; Seligman, Martin E P
2017-08-01
The factor structure of the Values in Action Inventory of Strengths (VIA-IS; Peterson & Seligman, 2004) has not been well established as a result of methodological challenges primarily attributable to a global positivity factor, item cross-loading across character strengths, and questions concerning the unidimensionality of the scales assessing character strengths. We sought to overcome these methodological challenges by applying exploratory structural equation modeling (ESEM) at the item level using a bifactor analytic approach to a large sample of 447,573 participants who completed the VIA-IS with all 240 character strengths items and a reduced set of 107 unidimensional character strength items. It was found that a 6-factor bifactor structure generally held for the reduced set of unidimensional character strength items; these dimensions were justice, temperance, courage, wisdom, transcendence, humanity, and an overarching general factor that is best described as dispositional positivity. (PsycINFO Database Record (c) 2017 APA, all rights reserved).
ERIC Educational Resources Information Center
Reutzel, D. Ray; Mohr, Kathleen A. J.
2014-01-01
In this response to "Measuring Students' Writing Ability on a Computer Analytic Developmental Scale: An Exploratory Validity Study," the authors agree that assessments should seek parsimony in both theory and application wherever possible. Doing so allows maximal dissemination and implementation while minimizing costs. The Writing…
The structure of common emotion regulation strategies: A meta-analytic examination.
Naragon-Gainey, Kristin; McMahon, Tierney P; Chacko, Thomas P
2017-04-01
Emotion regulation has been examined extensively with regard to important outcomes, including psychological and physical health. However, the literature includes many different emotion regulation strategies but little examination of how they relate to one another, making it difficult to interpret and synthesize findings. The goal of this meta-analysis was to examine the underlying structure of common emotion regulation strategies (i.e., acceptance, behavioral avoidance, distraction, experiential avoidance, expressive suppression, mindfulness, problem solving, reappraisal, rumination, worry), and to evaluate this structure in light of theoretical models of emotion regulation. We also examined how distress tolerance-an important emotion regulation ability -relates to strategy use. We conducted meta-analyses estimating the correlations between emotion regulation strategies (based on 331 samples and 670 effect sizes), as well as between distress tolerance and strategies. The resulting meta-analytic correlation matrix was submitted to confirmatory and exploratory factor analyses. None of the confirmatory models, based on prior theory, was an acceptable fit to the data. Exploratory factor analysis suggested that 3 underlying factors best characterized these data. Two factors-labeled Disengagement and Aversive Cognitive Perseveration-emerged as strongly correlated but distinct factors, with the latter consisting of putatively maladaptive strategies. The third factor, Adaptive Engagement, was a less unified factor and weakly related to the other 2 factors. Distress tolerance was most closely associated with low levels of repetitive negative thought and experiential avoidance, and high levels of acceptance and mindfulness. We discuss the theoretical implications of these findings and applications to emotion regulation assessment. (PsycINFO Database Record (c) 2017 APA, all rights reserved).
David, Helena Maria Scherlowski Leal; Caufield, Catherine
2005-01-01
This exploratory study aimed to investigate factors related to the use of illicit and licit drugs and workplace violence in a group of women from popular classes in the city of Rio de Janeiro. We used a descriptive and analytic quantitative approach was used, as well as a qualitative approach through in-depth interviews with women who suffered or were suffering workplace violence, using the collective subject discourse analysis methodology. The results showed sociodemographic and work situations that can be considered as possible risk factors for drug consumption and workplace violence. The qualitative analysis shows how this group perceives the phenomena of drug use and workplace violence, expanding the comprehension about these issues and providing conceptual and methodological elements for additional studies on this subject.
ERIC Educational Resources Information Center
Bauer, Sara M.; Jones, Emily A.
2014-01-01
Impairment in exploratory motor (EM) behavior is part of the Down syndrome behavioral phenotype. Exploratory motor behavior may be a pivotal skill for early intervention with infants with Down syndrome. Exploratory motor impairments are often attributed to general delays in motor development in infants with Down syndrome. A behavior analytic…
Assessing Suicide Risk Among Callers to Crisis Hotlines: A Confirmatory Factor Analysis
Witte, Tracy K.; Gould, Madelyn S.; Munfakh, Jimmie Lou Harris; Kleinman, Marjorie; Joiner, Thomas E.; Kalafat, John
2012-01-01
Our goal was to investigate the factor structure of a risk assessment tool utilized by suicide hotlines and to determine the predictive validity of the obtained factors in predicting subsequent suicidal behavior. 1,085 suicidal callers to crisis hotlines were divided into three sub-samples, which allowed us to conduct an independent Exploratory Factor Analysis (EFA), EFA in a Confirmatory Factor Analysis (EFA/CFA) framework, and CFA. Similar to previous factor analytic studies (Beck et al., 1997; Holden & DeLisle, 2005; Joiner, Rudd, & Rajab, 1997; Witte et al., 2006), we found consistent evidence for a two-factor solution, with one factor representing a more pernicious form of suicide risk (i.e., Resolved Plans and Preparations) and one factor representing more mild suicidal ideation (i.e., Suicidal Desire and Ideation). Using structural equation modeling techniques, we found preliminary evidence that the Resolved Plans and Preparations factor trended toward being more predictive of suicidal ideation than the Suicidal Desire and Ideation factor. This factor analytic study is the first longitudinal study of the obtained factors. PMID:20578186
Penn, Andrew M; Lu, Linghong; Chambers, Andrew G; Balshaw, Robert F; Morrison, Jaclyn L; Votova, Kristine; Wood, Eileen; Smith, Derek S; Lesperance, Maria; del Zoppo, Gregory J; Borchers, Christoph H
2015-12-01
Multiple reaction monitoring mass spectrometry (MRM-MS) is an emerging technology for blood biomarker verification and validation; however, the results may be influenced by pre-analytical factors. This exploratory study was designed to determine if differences in phlebotomy techniques would significantly affect the abundance of plasma proteins in an upcoming biomarker development study. Blood was drawn from 10 healthy participants using four techniques: (1) a 20-gauge IV with vacutainer, (2) a 21-gauge direct vacutainer, (3) an 18-gauge butterfly with vacutainer, and (4) an 18-gauge butterfly with syringe draw. The abundances of a panel of 122 proteins (117 proteins, plus 5 matrix metalloproteinase (MMP) proteins) were targeted by LC/MRM-MS. In addition, complete blood count (CBC) data were also compared across the four techniques. Phlebotomy technique significantly affected 2 of the 11 CBC parameters (red blood cell count, p = 0.010; hemoglobin concentration, p = 0.035) and only 12 of the targeted 117 proteins (p < 0.05). Of the five MMP proteins, only MMP7 was detectable and its concentration was not significantly affected by different techniques. Overall, most proteins in this exploratory study were not significantly influenced by phlebotomy technique; however, a larger study with additional patients will be required for confirmation.
Peter, Beate; Matsushita, Mark; Raskind, Wendy H.
2013-01-01
Purpose To investigate processing speed as a latent dimension in children with dyslexia and children and adults with typical reading skills. Method Exploratory factor analysis (FA) was based on a sample of multigenerational families, each ascertained through a child with dyslexia. Eleven measures—6 of them timed—represented verbal and nonverbal processes, alphabet writing, and motor sequencing in the hand and oral motor system. FA was conducted in 4 cohorts (all children, a subset of children with low reading scores, a subset of children with typical reading scores, and adults with typical reading scores; total N = 829). Results Processing speed formed the first factor in all cohorts. Both measures of motor sequencing speed loaded on the speed factor with the other timed variables. Children with poor reading scores showed lower speed factor scores than did typical peers. The speed factor was negatively correlated with age in the adults. Conclusions The speed dimension was observed independently of participant cohort, gender, and reading ability. Results are consistent with a unified theory of processing speed as a quadratic function of age in typical development and with slowed processing in poor readers. PMID:21081672
Clustering in analytical chemistry.
Drab, Klaudia; Daszykowski, Michal
2014-01-01
Data clustering plays an important role in the exploratory analysis of analytical data, and the use of clustering methods has been acknowledged in different fields of science. In this paper, principles of data clustering are presented with a direct focus on clustering of analytical data. The role of the clustering process in the analytical workflow is underlined, and its potential impact on the analytical workflow is emphasized.
Insight into dementia care management using social-behavioral theory and mixed methods.
Connor, Karen; McNeese-Smith, Donna; van Servellen, Gwen; Chang, Betty; Lee, Martin; Cheng, Eric; Hajar, Abdulrahman; Vickrey, Barbara G
2009-01-01
For health organizations (private and public) to advance their care-management programs, to use resources effectively and efficiently, and to improve patient outcomes, it is germane to isolate and quantify care-management activities and to identify overarching domains. The aims of this study were to identify and report on an application of mixed methods of qualitative statistical techniques, based on a theoretical framework, and to construct variables for factor analysis and exploratory factor analytic steps for identifying domains of dementia care management. Care-management activity data were extracted from the care plans of 181 pairs of individuals (with dementia and their informal caregivers) who had participated in the intervention arm of a randomized controlled trial of a dementia care-management program. Activities were organized into types, using card-sorting methods, influenced by published theoretical constructs on self-efficacy and general strain theory. These activity types were mapped in the initial data set to construct variables for exploratory factor analysis. Principal components extraction with varimax and promax rotations was used to estimate the number of factors. Cronbach's alpha was calculated for the items in each factor to assess internal consistency reliability. The two-phase card-sorting technique yielded 45 activity types out of 450 unique activities. Exploratory factor analysis produced four care-management domains (factors): behavior management, clinical strategies and caregiver support, community agency, and safety. Internal consistency reliability (Cronbach's alpha) of items for each factor ranged from.63 for the factor "safety" to.89 for the factor "behavior management" (Factor 1). Applying a systematic method to a large set of care-management activities can identify a parsimonious number of higher order categories of variables and factors to guide the understanding of dementia care-management processes. Further application of this methodology in outcome analyses and to other data sets is necessary to test its practicality.
The factor structure of the Alcohol Use Disorders Identification Test (AUDIT).
Doyle, Suzanne R; Donovan, Dennis M; Kivlahan, Daniel R
2007-05-01
Past research assessing the factor structure of the Alcohol Use Disorders Identification Test (AUDIT) with various exploratory and confirmatory factor analytic techniques has identified one-, two-, and three-factor solutions. Because different factor analytic procedures may result in dissimilar findings, we examined the factor structure of the AUDIT using the same factor analytic technique on two new large clinical samples and on archival data from six samples studied in previous reports. Responses to the AUDIT were obtained from participants who met Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV), criteria for alcohol dependence in two large randomized clinical trials: the COMBINE (Combining Medications and Behavioral Interventions) Study (N = 1,337; 69% men) and Project MATCH (Matching Alcoholism Treatments to Client Heterogeneity; N = 1,711; 76% men). Supplementary analyses involved six correlation matrices of AUDIT data obtained from five previously published articles. Confirmatory factor analyses based on one-, two-, and three-factor models were conducted on the eight correlation matrices to assess the factor structure of the AUDIT. Across samples, analyses supported a correlated, two-factor solution representing alcohol consumption and alcohol-related consequences. The three-factor solution fit the data equally well, but two factors (alcohol dependence and harmful alcohol use) were highly correlated. The one-factor solution did not provide a good fit to the data. These findings support a two-factor solution for the AUDIT (alcohol consumption and alcohol-related consequences). The results contradict the original three-factor design of the AUDIT and the prevalent use of the AUDIT as a one-factor screening instrument with a single cutoff score.
Student Perceptions of Privacy Principles for Learning Analytics
ERIC Educational Resources Information Center
Ifenthaler, Dirk; Schumacher, Clara
2016-01-01
The purpose of this study was to examine student perceptions of privacy principles related to learning analytics. Privacy issues for learning analytics include how personal data are collected and stored as well as how they are analyzed and presented to different stakeholders. A total of 330 university students participated in an exploratory study…
NASA Astrophysics Data System (ADS)
Mirel, Barbara; Kumar, Anuj; Nong, Paige; Su, Gang; Meng, Fan
2016-02-01
Life scientists increasingly use visual analytics to explore large data sets and generate hypotheses. Undergraduate biology majors should be learning these same methods. Yet visual analytics is one of the most underdeveloped areas of undergraduate biology education. This study sought to determine the feasibility of undergraduate biology majors conducting exploratory analysis using the same interactive data visualizations as practicing scientists. We examined 22 upper level undergraduates in a genomics course as they engaged in a case-based inquiry with an interactive heat map. We qualitatively and quantitatively analyzed students' visual analytic behaviors, reasoning and outcomes to identify student performance patterns, commonly shared efficiencies and task completion. We analyzed students' successes and difficulties in applying knowledge and skills relevant to the visual analytics case and related gaps in knowledge and skill to associated tool designs. Findings show that undergraduate engagement in visual analytics is feasible and could be further strengthened through tool usability improvements. We identify these improvements. We speculate, as well, on instructional considerations that our findings suggested may also enhance visual analytics in case-based modules.
Kumar, Anuj; Nong, Paige; Su, Gang; Meng, Fan
2016-01-01
Life scientists increasingly use visual analytics to explore large data sets and generate hypotheses. Undergraduate biology majors should be learning these same methods. Yet visual analytics is one of the most underdeveloped areas of undergraduate biology education. This study sought to determine the feasibility of undergraduate biology majors conducting exploratory analysis using the same interactive data visualizations as practicing scientists. We examined 22 upper level undergraduates in a genomics course as they engaged in a case-based inquiry with an interactive heat map. We qualitatively and quantitatively analyzed students’ visual analytic behaviors, reasoning and outcomes to identify student performance patterns, commonly shared efficiencies and task completion. We analyzed students’ successes and difficulties in applying knowledge and skills relevant to the visual analytics case and related gaps in knowledge and skill to associated tool designs. Findings show that undergraduate engagement in visual analytics is feasible and could be further strengthened through tool usability improvements. We identify these improvements. We speculate, as well, on instructional considerations that our findings suggested may also enhance visual analytics in case-based modules. PMID:26877625
Exploratory Analysis of Supply Chains in the Defense Industrial Base
2012-04-01
Instruments Industry Group 382: Laboratory Apparatus and Analytical, Optical, Measuring, and Controlling Instruments 3821 Laboratory Apparatus and Furniture ...I N S T I T U T E F O R D E F E N S E A N A LY S E S Exploratory Analysis of Supply Chains in the Defense Industrial Base James R. Dominy...contract DASW01-04-C-0003, AH-7-3315, “Exploratory Analysis of Supply Chains in the Defense Industrial Base,” for the Director, Industrial Policy. The
A Brief History of the Philosophical Foundations of Exploratory Factor Analysis.
ERIC Educational Resources Information Center
Mulaik, Stanley A.
1987-01-01
Exploratory factor analysis derives its key ideas from many sources, including Aristotle, Francis Bacon, Descartes, Pearson and Yule, and Kant. The conclusions of exploratory factor analysis are never complete without subsequent confirmatory factor analysis. (Author/GDC)
ERIC Educational Resources Information Center
Anselin, Luc; Sridharan, Sanjeev; Gholston, Susan
2007-01-01
With the proliferation of social indicator databases, the need for powerful techniques to study patterns of change has grown. In this paper, the utility of spatial data analytical methods such as exploratory spatial data analysis (ESDA) is suggested as a means to leverage the information contained in social indicator databases. The principles…
A Review of CEFA Software: Comprehensive Exploratory Factor Analysis Program
ERIC Educational Resources Information Center
Lee, Soon-Mook
2010-01-01
CEFA 3.02(Browne, Cudeck, Tateneni, & Mels, 2008) is a factor analysis computer program designed to perform exploratory factor analysis. It provides the main properties that are needed for exploratory factor analysis, namely a variety of factoring methods employing eight different discrepancy functions to be minimized to yield initial…
The Human is the Loop: New Directions for Visual Analytics
DOE Office of Scientific and Technical Information (OSTI.GOV)
Endert, Alexander; Hossain, Shahriar H.; Ramakrishnan, Naren
2014-01-28
Visual analytics is the science of marrying interactive visualizations and analytic algorithms to support exploratory knowledge discovery in large datasets. We argue for a shift from a ‘human in the loop’ philosophy for visual analytics to a ‘human is the loop’ viewpoint, where the focus is on recognizing analysts’ work processes, and seamlessly fitting analytics into that existing interactive process. We survey a range of projects that provide visual analytic support contextually in the sensemaking loop, and outline a research agenda along with future challenges.
ERIC Educational Resources Information Center
Canivez, Gary L.; Watkins, Marley W.
2010-01-01
The factor structure of the Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV; Wechsler, 2008a) with the adolescent participants (ages 16-19 years; N = 400) in the standardization sample was assessed using exploratory factor analysis, multiple factor extraction criteria, and higher-order exploratory factor analyses. Results from…
Chen, Chiung M; Yoon, Young-Hee; Harford, Thomas C; Grant, Bridget F
2017-06-01
Emerging confirmatory factor analytic (CFA) studies suggest that posttraumatic stress disorder (PTSD) as defined by the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) is best characterized by seven factors, including re-experiencing, avoidance, negative affect, anhedonia, externalizing behaviors, and anxious and dysphoric arousal. The seven factors, however, have been found to be highly correlated, suggesting that one general factor may exist to explain the overall correlations among symptoms. Using data from the National Epidemiologic Survey on Alcohol and Related Conditions-III, a large, national survey of 36,309 U.S. adults ages 18 and older, this study proposed and tested an exploratory bifactor hybrid model for DSM-5 PTSD symptoms. The model posited one general and seven specific latent factors, whose associations with suicide attempts and mediating psychiatric disorders were used to validate the PTSD dimensionality. The exploratory bifactor hybrid model fitted the data extremely well, outperforming the 7-factor CFA hybrid model and other competing CFA models. The general factor was found to be the single dominant latent trait that explained most of the common variance (~76%) and showed significant, positive associations with suicide attempts and mediating psychiatric disorders, offering support to the concurrent validity of the PTSD construct. The identification of the primary latent trait of PTSD confirms PTSD as an independent psychiatric disorder and helps define PTSD severity in clinical practice and for etiologic research. The accurate specification of PTSD factor structure has implications for treatment efforts and the prevention of suicidal behaviors.
Hagemeier, Nicholas E; Murawski, Matthew M
2014-02-12
To develop and validate an instrument to assess subjective ratings of the perceived value of various postgraduate training paths followed using expectancy-value as a theoretical framework; and to explore differences in value beliefs across type of postgraduate training pursued and type of pharmacy training completed prior to postgraduate training. A survey instrument was developed to sample 4 theoretical domains of subjective task value: intrinsic value, attainment value, utility value, and perceived cost. Retrospective self-report methodology was employed to examine respondents' (N=1,148) subjective task value beliefs specific to their highest level of postgraduate training completed. Exploratory and confirmatory factor analytic techniques were used to evaluate and validate value belief constructs. Intrinsic, attainment, utility, cost, and financial value constructs resulted from exploratory factor analysis. Cross-validation resulted in a 26-item instrument that demonstrated good model fit. Differences in value beliefs were noted across type of postgraduate training pursued and pharmacy training characteristics. The Postgraduate Training Value Instrument demonstrated evidence of reliability and construct validity. The survey instrument can be used to assess value beliefs regarding multiple postgraduate training options in pharmacy and potentially inform targeted recruiting of individuals to those paths best matching their own value beliefs.
Exploratory Analysis of Exercise Adherence Patterns with Sedentary Pregnant Women
Yeo, SeonAe; Cisewski, Jessi; Lock, Eric F.; Marron, J. S.
2010-01-01
Background It is not well understood how sedentary women who wish to engage in regular exercise adhere to interventions during pregnancy and what factors may influence adherence over time. Objective To examine longitudinal patterns of pregnant women’s adherence to exercise. Methods Exploratory secondary data analyses were carried out with 124 previously sedentary pregnant women (ages 31 ± 5 years; 85% non-Hispanic White) from a randomized controlled trial. Daily exercise logs (n = 92) from 18 through 35 weeks of gestation were explored using linear regression, functional data, and principal component analyses. Results Adherence decreased as gestation week increased (p < .001); the top adherers maintained levels of adherence, and the bottom adherers decreased levels of adherence; and adherence pattern was influenced by types of exercise throughout the study period. Discussion Exercise behavior patterns were explored in a randomized controlled trial study, using chronometric data on exercise attendance. A new analytic approach revealed that sedentary pregnant women may adopt exercise habits differently from other populations. PMID:20585224
Identification challenges for large space structures
NASA Technical Reports Server (NTRS)
Pappa, Richard S.
1990-01-01
The paper examines the on-orbit modal identification of large space structures, stressing the importance of planning and experience, in preparation for the Space Station Structural Characterization Experiment (SSSCE) for the Space Station Freedom. The necessary information to foresee and overcome practical difficulties is considered in connection with seven key factors, including test objectives, dynamic complexity of the structure, data quality, extent of exploratory studies, availability and understanding of software tools, experience with similar problems, and pretest analytical conditions. These factors affect identification success in ground tests. Comparisons with similar ground tests of assembled systems are discussed, showing that the constraints of space tests make these factors more significant. The absence of data and experiences relating to on-orbit modal identification testing is shown to make identification a uniquely mathematical problem, although all spacecraft are constructed and verified by proven engineering methods.
Measuring public opinion on alcohol policy: a factor analytic study of a US probability sample.
Latimer, William W; Harwood, Eileen M; Newcomb, Michael D; Wagenaar, Alexander C
2003-03-01
Public opinion has been one factor affecting change in policies designed to reduce underage alcohol use. Extant research, however, has been criticized for using single survey items of unknown reliability to define adult attitudes on alcohol policy issues. The present investigation addresses a critical gap in the literature by deriving scales on public attitudes, knowledge, and concerns pertinent to alcohol policies designed to reduce underage drinking using a US probability sample survey of 7021 adults. Five attitudinal scales were derived from exploratory and confirmatory factor analyses addressing policies to: (1) regulate alcohol marketing, (2) regulate alcohol consumption in public places, (3) regulate alcohol distribution, (4) increase alcohol taxes, and (5) regulate youth access. The scales exhibited acceptable psychometric properties and were largely consistent with a rational framework which guided the survey construction.
Defining dignity in terminally ill cancer patients: a factor-analytic approach.
Hack, Thomas F; Chochinov, Harvey Max; Hassard, Thomas; Kristjanson, Linda J; McClement, Susan; Harlos, Mike
2004-10-01
The construct of 'dignity' is frequently raised in discussions about quality end of life care for terminal cancer patients, and is invoked by parties on both sides of the euthanasia debate. Lacking in this general debate has been an empirical explication of 'dignity' from the viewpoint of cancer patients themselves. The purpose of the present study was to use factor-analytic and regression methods to analyze dignity data gathered from 213 cancer patients having less than 6 months to live. Patients rated their sense of dignity, and completed measures of symptom distress and psychological well-being. The results showed that although the majority of patients had an intact sense of dignity, there were 99 (46%) patients who reported at least some, or occasional loss of dignity, and 16 (7.5%) patients who indicated that loss of dignity was a significant problem. The exploratory factor analysis yielded six primary factors: (1) Pain; (2) Intimate Dependency; (3) Hopelessness/Depression; (4) Informal Support Network; (5) Formal Support Network; and (6) Quality of Life. Subsequent regression analyses of modifiable factors produced a final two-factor (Hopelessness/Depression and Intimate Dependency) model of statistical significance. These results provide empirical support for the dignity model, and suggest that the provision of end of life care should include methods for treating depression, fostering hope, and facilitating functional independence. Copyright 2004 John Wiley & Sons, Ltd.
ERIC Educational Resources Information Center
Burdick, Hal; Swartz, Carl W.; Stenner, A. Jackson; Fitzgerald, Jill; Burdick, Don; Hanlon, Sean T.
2013-01-01
The purpose of the study was to explore the validity of a novel computer-analytic developmental scale, the Writing Ability Developmental Scale. On the whole, collective results supported the validity of the scale. It was sensitive to writing ability differences across grades and sensitive to within-grade variability as compared to human-rated…
ERIC Educational Resources Information Center
Mirel, Barbara; Kumar, Anuj; Nong, Paige; Su, Gang; Meng, Fan
2016-01-01
Life scientists increasingly use visual analytics to explore large data sets and generate hypotheses. Undergraduate biology majors should be learning these same methods. Yet visual analytics is one of the most underdeveloped areas of undergraduate biology education. This study sought to determine the feasibility of undergraduate biology majors…
Independent Research and Independent Exploratory Development Annual Report Fiscal Year 1975
1975-09-01
and Coding Study.(Z?80) ................................... ......... .................... 40 Optical Cover CMMUnicallor’s Using Laser Transceiverst...Using Auger Spectroscopy and PUBLICATIONS Additional Advanced Analytical Techniques," Wagner, N. K., "Auger Electron Spectroscopy NELC Technical Note 2904...K.. "Analysis of Microelectronic Materials Using Auger Spectroscopy and Additional Advanced Analytical Techniques," Contact: Proceedings of the
Birrell, Jane; Meares, Kevin; Wilkinson, Andrew; Freeston, Mark
2011-11-01
Since its emergence in the early 1990s, a narrow but concentrated body of research has developed examining the role of intolerance of uncertainty (IU) in worry, and yet we still know little about its phenomenology. In an attempt to clarify our understanding of this construct, this paper traces the way in which our understanding and definition of IU have evolved throughout the literature. This paper also aims to further our understanding of IU by exploring the latent variables measures by the Intolerance of Uncertainty Scale (IUS; Freeston, Rheaume, Letarte, Dugas & Ladouceur, 1994). A review of the literature surrounding IU confirmed that the current definitions are categorical and lack specificity. A critical review of existing factor analytic studies was carried out in order to determine the underlying factors measured by the IUS. Systematic searches yielded 9 papers for review. Two factors with 12 consistent items emerged throughout the exploratory studies, and the stability of models containing these two factors was demonstrated in subsequent confirmatory studies. It is proposed that these factors represent (i) desire for predictability and an active engagement in seeking certainty, and (ii) paralysis of cognition and action in the face of uncertainty. It is suggested that these factors may represent approach and avoidance responses to uncertainty. Further research is required to confirm the construct validity of these factors and to determine the stability of this structure within clinical samples. Copyright © 2011 Elsevier Ltd. All rights reserved.
Zahiruddin, Wan Mohd; Arifin, Wan Nor; Mohd-Nazri, Shafei; Sukeri, Surianti; Zawaha, Idris; Bakar, Rahman Abu; Hamat, Rukman Awang; Malina, Osman; Jamaludin, Tengku Zetty Maztura Tengku; Pathman, Arumugam; Mas-Harithulfadhli-Agus, Ab Rahman; Norazlin, Idris; Suhailah, Binti Samsudin; Saudi, Siti Nor Sakinah; Abdullah, Nurul Munirah; Nozmi, Noramira; Zainuddin, Abdul Wahab; Aziah, Daud
2018-03-07
In Malaysia, leptospirosis is considered an endemic disease, with sporadic outbreaks following rainy or flood seasons. The objective of this study was to develop and validate a new knowledge, attitude, belief and practice (KABP) questionnaire on leptospirosis for use in urban and rural populations in Malaysia. The questionnaire comprised development and validation stages. The development phase encompassed a literature review, expert panel review, focus-group testing, and evaluation. The validation phase consisted of exploratory and confirmatory parts to verify the psychometric properties of the questionnaire. A total of 214 and 759 participants were recruited from two Malaysian states, Kelantan and Selangor respectively, for the validation phase. The participants comprised urban and rural communities with a high reported incidence of leptospirosis. The knowledge section of the validation phase utilized item response theory (IRT) analysis. The attitude and belief sections utilized exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). The development phase resulted in a questionnaire that included four main sections: knowledge, attitude, belief, and practice. In the exploratory phase, as shown by the IRT analysis of knowledge about leptospirosis, the difficulty and discrimination values of the items were acceptable, with the exception of two items. Based on the EFA, the psychometric properties of the attitude, belief, and practice sections were poor. Thus, these sections were revised, and no further factor analysis of the practice section was conducted. In the confirmatory stage, the difficulty and discrimination values of the items in the knowledge section remained within the acceptable range. The CFA of the attitude section resulted in a good-fitting two-factor model. The CFA of the belief section retained low number of items, although the analysis resulted in a good fit in the final three-factor model. Based on the IRT analysis and factor analytic evidence, the knowledge and attitude sections of the KABP questionnaire on leptospirosis were psychometrically valid. However, the psychometric properties of the belief section were unsatisfactory, despite being revised after the initial validation study. Further development of this section is warranted in future studies.
"State Your Defense!" Children Negotiate Analytic Frames in the Context of Deliberative Dialogue
ERIC Educational Resources Information Center
Hauver, Jennifer
2017-01-01
The purpose of this exploratory study was to identify the analytic frames children (ages 9 to 11) employed as they worked together to make sense of an ill-structured problem, what those same children did when their frames collided in the context of deliberative dialogue, and what they learned from the process of negotiation. Data included pre- and…
Conference report: Seventh Exploratory Measurement Science Group Symposium.
Cappell, Joanna; Karim, Muhammed; Goodwin, Richard
2011-01-01
The impressive 18th Century Ardgour House again played host to the seventh annual Exploratory Measurement Science Group Symposium. The Symposium was organised as a study retreat for young and established scientists who share a common interest in the development and application of advanced analytical instrumentation. Speakers from a wide range of backgrounds in academia, industry and government were invited to present and discuss their research interests surrounded by the stunning Highland scenery of Fort William.
Lee, Jung Jae; Clarke, Charlotte L
2015-05-01
The aim of this study was to develop and psychometrically test a shortened version of the Information Technology Attitude Scales for Health, in the investigation of nursing students with clinical placement experiences. Nurses and nursing students need to develop high levels of competency in information and communication technology. However, they encounter statistically significant barriers in the use of the technology. Although some instruments have been developed to measure factors that influence nurses' attitudes towards technology, the validity is questionable and few studies have been developed to test the attitudes of nursing students, in particular. A cross-sectional survey design was performed. The Information Technology Attitude Scales for Health was used to collect data from October 2012-December 2012. A panel of experts reviewed the content of the instrument and a pilot study was conducted. Following this, a total of 508 nursing students, who were engaged in clinical placements, were recruited from six universities in South Korea. Exploratory and confirmatory factor analyses were performed and reliability and construct validity were assessed. The resulting instrument consisted of 19 items across four factors. Reliability of the four factors was acceptable and the validity was supported. The instrument was shown to be both valid and reliable for measuring nursing students' attitudes towards technology, thus aiding in the current understandings of this aspect. Through these measurements and understandings, nursing educators and students are able to be more reflexive of their attitudes and can thus seek to develop them positively. © 2015 John Wiley & Sons Ltd.
A confirmatory factor analytic validation of the Tinnitus Handicap Inventory.
Kleinstäuber, Maria; Frank, Ina; Weise, Cornelia
2015-03-01
Because the postulated three-factor structure of the internationally widely used Tinnitus Handicap Inventory (THI) has not been confirmed yet by a confirmatory factor analytic approach this was the central aim of the current study. From a clinical setting, N=373 patients with chronic tinnitus completed the THI and further questionnaires assessing tinnitus-related and psychological variables. In order to analyze the psychometric properties of the THI, confirmatory factor analysis (CFA) and correlational analyses were conducted. CFA provided a statistically significant support for a better fit of the data to the hypothesized three-factor structure (RMSEA=.049, WRMR=1.062, CFI=.965, TLI=.961) than to a general factor model (RMSEA=.062, WRMR=1.258, CFI=.942, TLI=.937). The calculation of Cronbach's alpha as indicator of internal consistency revealed satisfactory values (.80-.91) with the exception of the catastrophic subscale (.65). High positive correlations of the THI and its subscales with other measures of tinnitus distress, anxiety, and depression, high negative correlations with tinnitus acceptance, moderate positive correlations with anxiety sensitivity, sleeping difficulties, tinnitus loudness, and small correlations with the Big Five personality dimensions confirmed construct validity. Results show that the THI is a highly reliable and valid measure of tinnitus-related handicap. In contrast to results of previous exploratory analyses the current findings speak for a three-factor in contrast to a unifactorial structure. Future research is needed to replicate this result in different tinnitus populations. Copyright © 2015 Elsevier Inc. All rights reserved.
Canivez, Gary L; Watkins, Marley W
2010-12-01
The present study examined the factor structure of the Wechsler Adult Intelligence Scale--Fourth Edition (WAIS-IV; D. Wechsler, 2008a) standardization sample using exploratory factor analysis, multiple factor extraction criteria, and higher order exploratory factor analysis (J. Schmid & J. M. Leiman, 1957) not included in the WAIS-IV Technical and Interpretation Manual (D. Wechsler, 2008b). Results indicated that the WAIS-IV subtests were properly associated with the theoretically proposed first-order factors, but all but one factor-extraction criterion recommended extraction of one or two factors. Hierarchical exploratory analyses with the Schmid and Leiman procedure found that the second-order g factor accounted for large portions of total and common variance, whereas the four first-order factors accounted for small portions of total and common variance. It was concluded that the WAIS-IV provides strong measurement of general intelligence, and clinical interpretation should be primarily at that level.
Exploratory Bi-Factor Analysis: The Oblique Case
ERIC Educational Resources Information Center
Jennrich, Robert I.; Bentler, Peter M.
2012-01-01
Bi-factor analysis is a form of confirmatory factor analysis originally introduced by Holzinger and Swineford ("Psychometrika" 47:41-54, 1937). The bi-factor model has a general factor, a number of group factors, and an explicit bi-factor structure. Jennrich and Bentler ("Psychometrika" 76:537-549, 2011) introduced an exploratory form of bi-factor…
ERIC Educational Resources Information Center
Ferrari-Bridgers, Franca; Stroumbakis, Kostas; Drini, Merlinda; Lynch, Barbara; Vogel, Rosanne
2017-01-01
In this article, the researchers discuss the implementation of the Ferrari, Lynch, and Vogel Listening Test (FLVLT) to two STEM areas: Mathematics and Computer Science. The goal of the present study was to assess the improvement in students' mastery of critical listening skills and how listening can help students to retain information. After…
ERIC Educational Resources Information Center
Zhang, Guangjian; Preacher, Kristopher J.; Luo, Shanhong
2010-01-01
This article is concerned with using the bootstrap to assign confidence intervals for rotated factor loadings and factor correlations in ordinary least squares exploratory factor analysis. Coverage performances of "SE"-based intervals, percentile intervals, bias-corrected percentile intervals, bias-corrected accelerated percentile…
Likelihood-Based Confidence Intervals in Exploratory Factor Analysis
ERIC Educational Resources Information Center
Oort, Frans J.
2011-01-01
In exploratory or unrestricted factor analysis, all factor loadings are free to be estimated. In oblique solutions, the correlations between common factors are free to be estimated as well. The purpose of this article is to show how likelihood-based confidence intervals can be obtained for rotated factor loadings and factor correlations, by…
Johns, Jennifer L.; Moorhead, Kaitlin A.; Hu, Jing; Moorhead, Roberta C.
2018-01-01
Clinical pathology testing of rodents is often challenging due to insufficient sample volume. One solution in clinical veterinary and exploratory research environments is dilution of samples prior to analysis. However, published information on the impact of preanalytical sample dilution on rodent biochemical data is incomplete. The objective of this study was to evaluate the effects of preanalytical sample dilution on biochemical analysis of mouse and rat serum samples utilizing the Siemens Dimension Xpand Plus. Rats were obtained from end of study research projects. Mice were obtained from sentinel testing programs. For both, whole blood was collected via terminal cardiocentesis into empty tubes and serum was harvested. Biochemical parameters were measured on fresh and thawed frozen samples run straight and at dilution factors 2–10. Dilutions were performed manually, utilizing either ultrapure water or enzyme diluent per manufacturer recommendations. All diluted samples were generated directly from the undiluted sample. Preanalytical dilution caused clinically unacceptable bias in most analytes at dilution factors four and above. Dilution-induced bias in total calcium, creatinine, total bilirubin, and uric acid was considered unacceptable with any degree of dilution, based on the more conservative of two definitions of acceptability. Dilution often caused electrolyte values to fall below assay range precluding evaluation of bias. Dilution-induced bias occurred in most biochemical parameters to varying degrees and may render dilution unacceptable in the exploratory research and clinical veterinary environments. Additionally, differences between results obtained at different dilution factors may confound statistical comparisons in research settings. Comparison of data obtained at a single dilution factor is highly recommended. PMID:29497614
Cross-cultural construct validity study of professionalism of Vietnamese medical students.
Nhan, Vo Thanh; Violato, Claudio; Le An, Pham; Beran, Tanya N
2014-01-01
Although many studies have made efforts to define and assess medical professionalism, few have addressed issues of construct validity. The purpose of this article is to explore further construct validity of medical professionalism employing exploratory and confirmatory factor analysis. The 32-item instrument by the American Board of Internal Medicine (ABIM) was adapted to assess the perceptions on medical professionalism of Vietnamese medical students. A sample of 1,196 (487 first-year, 341 third-year, 368 sixth-year) medical students participated voluntarily in the completion of the instrument. The data were randomly divided into three samples to assess the construct validity of medical professionalism by empirically deriving and confirming a model of professionalism. Exploratory and confirmatory factor analytic techniques resulted in a six-factor well-fitting model with a comparative fit index of .963 and root mean square error approximation of .029, 90% confidence interval [016, .039]: integrity, social responsibility, professional practice habits, ensuring quality care, altruism, and self-awareness. Social responsibility was perceived least important, and self-awareness was perceived most important by Vietnamese medical students. These constructs of medical professionalism were relatively similar with those found in Taiwanese medical students and the ABIM definitions but with some Vietnamese cultural differences. Although the results confirm that medical professionalism is a somewhat culturally sensitive construct, it nonetheless has many elements of medical professionalism that are universal. Future research should be conducted to test the generalizability of our six-factor model of professionalism with various samples (e.g., residents, physicians), cultures, and language groups.
Leykin, Dmitry; Lahad, Mooli; Cohen, Odeya; Goldberg, Avishay; Aharonson-Daniel, Limor
2013-12-01
Community resilience is used to describe a community's ability to deal with crises or disruptions. The Conjoint Community Resiliency Assessment Measure (CCRAM) was developed in order to attain an integrated, multidimensional instrument for the measurement of community resiliency. The tool was developed using an inductive, exploratory, sequential mixed methods design. The objective of the present study was to portray and evaluate the CCRAM's psychometric features. A large community sample (N = 1,052) were assessed by the CCRAM tool, and the data was subjected to exploratory and confirmatory factor analysis. A Five factor model (21 items) was obtained, explaining 67.67 % of the variance. This scale was later reduced to 10-item brief instrument. Both scales showed good internal consistency coefficients (α = .92 and α = .85 respectively), and acceptable fit indices to the data. Seven additional items correspond to information requested by leaders, forming the CCRAM28. The CCRAM has been shown to be an acceptable practical tool for assessing community resilience. Both internal and external validity have been demonstrated, as all factors obtained in the factor analytical process, were tightly linked to previous literature on community resilience. The CCRAM facilitates the estimation of an overall community resiliency score but furthermore, it detects the strength of five important constructs of community function following disaster: Leadership, Collective Efficacy, Preparedness, Place Attachment and Social Trust. Consequently, the CCRAM can serve as an aid for community leaders to assess, monitor, and focus actions to enhance and restore community resilience for crisis situations.
On the Complexity of Item Response Theory Models.
Bonifay, Wes; Cai, Li
2017-01-01
Complexity in item response theory (IRT) has traditionally been quantified by simply counting the number of freely estimated parameters in the model. However, complexity is also contingent upon the functional form of the model. We examined four popular IRT models-exploratory factor analytic, bifactor, DINA, and DINO-with different functional forms but the same number of free parameters. In comparison, a simpler (unidimensional 3PL) model was specified such that it had 1 more parameter than the previous models. All models were then evaluated according to the minimum description length principle. Specifically, each model was fit to 1,000 data sets that were randomly and uniformly sampled from the complete data space and then assessed using global and item-level fit and diagnostic measures. The findings revealed that the factor analytic and bifactor models possess a strong tendency to fit any possible data. The unidimensional 3PL model displayed minimal fitting propensity, despite the fact that it included an additional free parameter. The DINA and DINO models did not demonstrate a proclivity to fit any possible data, but they did fit well to distinct data patterns. Applied researchers and psychometricians should therefore consider functional form-and not goodness-of-fit alone-when selecting an IRT model.
The Infinitesimal Jackknife with Exploratory Factor Analysis
ERIC Educational Resources Information Center
Zhang, Guangjian; Preacher, Kristopher J.; Jennrich, Robert I.
2012-01-01
The infinitesimal jackknife, a nonparametric method for estimating standard errors, has been used to obtain standard error estimates in covariance structure analysis. In this article, we adapt it for obtaining standard errors for rotated factor loadings and factor correlations in exploratory factor analysis with sample correlation matrices. Both…
On the Likelihood Ratio Test for the Number of Factors in Exploratory Factor Analysis
ERIC Educational Resources Information Center
Hayashi, Kentaro; Bentler, Peter M.; Yuan, Ke-Hai
2007-01-01
In the exploratory factor analysis, when the number of factors exceeds the true number of factors, the likelihood ratio test statistic no longer follows the chi-square distribution due to a problem of rank deficiency and nonidentifiability of model parameters. As a result, decisions regarding the number of factors may be incorrect. Several…
ERIC Educational Resources Information Center
Çokluk, Ömay; Koçak, Duygu
2016-01-01
In this study, the number of factors obtained from parallel analysis, a method used for determining the number of factors in exploratory factor analysis, was compared to that of the factors obtained from eigenvalue and scree plot--two traditional methods for determining the number of factors--in terms of consistency. Parallel analysis is based on…
Application of multiplex arrays for cytokine and chemokine profiling of bile.
Kemp, Troy J; Castro, Felipe A; Gao, Yu-Tang; Hildesheim, Allan; Nogueira, Leticia; Wang, Bing-Sheng; Sun, Lu; Shelton, Gloriana; Pfeiffer, Ruth M; Hsing, Ann W; Pinto, Ligia A; Koshiol, Jill
2015-05-01
Gallbladder disease is highly related to inflammation, but the inflammatory processes are not well understood. Bile provides a direct substrate in assessing the local inflammatory response that develops in the gallbladder. To assess the reproducibility of measuring inflammatory markers in bile, we designed a methods study of 69 multiplexed immune-related markers measured in bile obtained from gallstone patients. To evaluate assay performance, a total of 18 bile samples were tested twice within the same plate for each analyte, and the 18 bile samples were tested on two different days for each analyte. We used the following performance parameters: detectability, coefficient of variation (CV), intraclass correlation coefficient (ICC), and percent agreement (concordance among replicate measures above and below detection limit). Furthermore, we examined the association of analyte levels with gallstone characteristics such as type, numbers, and size. All but 3 analytes (Stem Cell Factor, SCF; Thrombopoietin, TPO; sIL-1RI) were detectable in bile. 52 of 69 (75.4%) analytes had detectable levels for at least 50% of the subjects tested. The within-plate CVs were ⩽25% for 53 of 66 (80.3%) detectable analytes, and across-plate CVs were ⩽25% for 32 of 66 (48.5%) detectable analytes. Moreover, 64 of 66 (97.0%) analytes had ICC values of at least 0.8. Lastly, the percent agreement was high between replicates for all of the analytes (median; within plate, 97.2%; across plate, 97.2%). In exploratory analyses, we assessed analyte levels by gallstone characteristics and found that levels for several analytes decreased with increasing size of the largest gallstone per patient. Our data suggest that multiplex assays can be used to reliably measure cytokines and chemokines in bile. In addition, gallstone size was inversely related to the levels of select analytes, which may aid in identifying critical pathways and mechanisms associated with the pathogenesis of gallbladder diseases. Copyright © 2015 Elsevier Ltd. All rights reserved.
ERIC Educational Resources Information Center
Clemens, Elysia V.; Carey, John C.; Harrington, Karen M.
2010-01-01
This article details the initial development of the School Counseling Program Implementation Survey and psychometric results including reliability and factor structure. An exploratory factor analysis revealed a three-factor model that accounted for 54% of the variance of the intercorrelation matrix and a two-factor model that accounted for 47% of…
Analytics For Distracted Driver Behavior Modeling in Dilemma Zone
DOE Office of Scientific and Technical Information (OSTI.GOV)
Li, Jan-Mou; Malikopoulos, Andreas; Thakur, Gautam
2014-01-01
In this paper, we present the results obtained and insights gained through the analysis of TRB contest data. We used exploratory analysis, regression, and clustering models for gaining insights into the driver behavior in a dilemma zone while driving under distraction. While simple exploratory analysis showed the distinguishing driver behavior patterns among different popu- lation groups in the dilemma zone, regression analysis showed statically signification relationships between groups of variables. In addition to analyzing the contest data, we have also looked into the possible impact of distracted driving on the fuel economy.
The School Counselor Leadership Survey: Instrument Development and Exploratory Factor Analysis
ERIC Educational Resources Information Center
Young, Anita; Bryan, Julia
2015-01-01
This study examined the factor structure of the School Counselor Leadership Survey (SCLS). Survey development was a threefold process that resulted in a 39-item survey of 801 school counselors and school counselor supervisors. The exploratory factor analysis indicated a five-factor structure that revealed five key dimensions of school counselor…
Investigating causes and determine repair needs to mitigate falling concrete from bridge decks.
DOT National Transportation Integrated Search
2012-09-01
This study developed a procedure to identify concrete bridge decks that are exhibiting the characteristics associated : with falling concrete. Field exploratory work on reinforced concrete bridge decks was supported by analytical and : laboratory inv...
Myers, Nicholas D; Feltz, Deborah L; Guillén, Félix; Dithurbide, Lori
2012-12-01
The purpose of this multistudy report was to develop, and then to provide initial validity evidence for measures derived from, the Referee Self-Efficacy Scale. Data were collected from referees (N = 1609) in the United States (n = 978) and Spain (n = 631). In Study 1 (n = 512), a single-group exploratory structural equation model provided evidence for four factors: game knowledge, decision making, pressure, and communication. In Study 2 (n = 1153), multiple-group confirmatory factor analytic models provided evidence for partial factorial invariance by country, level of competition, team gender, and sport refereed. In Study 3 (n = 456), potential sources of referee self-efficacy information combined to account for a moderate or large amount of variance in each dimension of referee self-efficacy with years of referee experience, highest level refereed, physical/mental preparation, and environmental comfort, each exerting at least two statistically significant direct effects.
Modeling and evaluating user behavior in exploratory visual analysis
DOE Office of Scientific and Technical Information (OSTI.GOV)
Reda, Khairi; Johnson, Andrew E.; Papka, Michael E.
Empirical evaluation methods for visualizations have traditionally focused on assessing the outcome of the visual analytic process as opposed to characterizing how that process unfolds. There are only a handful of methods that can be used to systematically study how people use visualizations, making it difficult for researchers to capture and characterize the subtlety of cognitive and interaction behaviors users exhibit during visual analysis. To validate and improve visualization design, however, it is important for researchers to be able to assess and understand how users interact with visualization systems under realistic scenarios. This paper presents a methodology for modeling andmore » evaluating the behavior of users in exploratory visual analysis. We model visual exploration using a Markov chain process comprising transitions between mental, interaction, and computational states. These states and the transitions between them can be deduced from a variety of sources, including verbal transcripts, videos and audio recordings, and log files. This model enables the evaluator to characterize the cognitive and computational processes that are essential to insight acquisition in exploratory visual analysis, and reconstruct the dynamics of interaction between the user and the visualization system. We illustrate this model with two exemplar user studies, and demonstrate the qualitative and quantitative analytical tools it affords.« less
ERIC Educational Resources Information Center
Raykov, Tenko; Little, Todd D.
1999-01-01
Describes a method for evaluating results of Procrustean rotation to a target factor pattern matrix in exploratory factor analysis. The approach, based on the bootstrap method, yields empirical approximations of the sampling distributions of: (1) differences between target elements and rotated factor pattern matrices; and (2) the overall…
Exploratory and Confirmatory Factor Analyses of the WISC-IV with Gifted Students
ERIC Educational Resources Information Center
Rowe, Ellen W.; Dandridge, Jessica; Pawlush, Alexandra; Thompson, Dawna F.; Ferrier, David E.
2014-01-01
These 2 studies investigated the factor structure of the Wechsler Intelligence Scale for Children-4th edition (WISC-IV; Wechsler, 2003a) with exploratory factor analysis (EFA; Study 1) and confirmatory factor analysis (CFA; Study 2) among 2 independent samples of gifted students. The EFA sample consisted of 225 children who were referred for a…
ERIC Educational Resources Information Center
Lorenzo-Seva, Urbano; Ferrando, Pere J.
2013-01-01
FACTOR 9.2 was developed for three reasons. First, exploratory factor analysis (FA) is still an active field of research although most recent developments have not been incorporated into available programs. Second, there is now renewed interest in semiconfirmatory (SC) solutions as suitable approaches to the complex structures are commonly found…
Factor Retention in Exploratory Factor Analysis: A Comparison of Alternative Methods.
ERIC Educational Resources Information Center
Mumford, Karen R.; Ferron, John M.; Hines, Constance V.; Hogarty, Kristine Y.; Kromrey, Jeffery D.
This study compared the effectiveness of 10 methods of determining the number of factors to retain in exploratory common factor analysis. The 10 methods included the Kaiser rule and a modified Kaiser criterion, 3 variations of parallel analysis, 4 regression-based variations of the scree procedure, and the minimum average partial procedure. The…
Connectivism in Postsecondary Online Courses: An Exploratory Factor Analysis
ERIC Educational Resources Information Center
Hogg, Nanette; Lomicky, Carol S.
2012-01-01
This study explores 465 postsecondary students' experiences in online classes through the lens of connectivism. Downes' 4 properties of connectivism (diversity, autonomy, interactivity, and openness) were used as the study design. An exploratory factor analysis was performed. This study found a 4-factor solution. Subjects indicated that autonomy…
Establishing Evidence for Internal Structure Using Exploratory Factor Analysis
ERIC Educational Resources Information Center
Watson, Joshua C.
2017-01-01
Exploratory factor analysis (EFA) is a data reduction technique used to condense data into smaller sets of summary variables by identifying underlying factors potentially accounting for patterns of collinearity among said variables. Using an illustrative example, the 5 general steps of EFA are described with best practices for decision making…
Exploratory Advanced Research Program : Video Analytics Research Projects
DOT National Transportation Integrated Search
2015-12-01
The flagship dataset to emerge from the Transportation Research Boards second Strategic Highway Research Program (SHRP 2) study is the naturalistic driving study (NDS). The study is a focus on driver behavior and addresses the notion that it is po...
Kong, Xiaoqing; Chakraverty, Devasmita; Jeffe, Donna B; Andriole, Dorothy A; Wathington, Heather D; Tai, Robert H
2013-01-01
This exploratory qualitative study investigated how doctoral students reported their personal and professional interaction experiences that they believed might facilitate or impede their academic pursuits in biomedical research. We collected 19 in-depth interviews with doctoral students in biomedical research from eight universities, and we based our qualitative analytic approach on the work of Miles and Huberman. The results indicated that among different sources and types of interaction, academic and emotional interactions from family and teachers in various stages essentially affected students' persistence in the biomedical science field. In addition, co-mentorship among peers, departmental environment, and volunteer experiences were other essential factors. This study also found related experiences among women and underrepresented minority students that were important to their academic pursuit.
ERIC Educational Resources Information Center
Knight, Jennifer L.
This paper considers some decisions that must be made by the researcher conducting an exploratory factor analysis. The primary purpose is to aid the researcher in making informed decisions during the factor analysis instead of relying on defaults in statistical programs or traditions of previous researchers. Three decision areas are addressed.…
Vagos, Paula; Rijo, Daniel; Santos, Isabel M
2016-04-01
Relatively little is known about measures used to investigate the validity and applications of social information processing theory. The Scenes for Social Information Processing in Adolescence includes items built using a participatory approach to evaluate the attribution of intent, emotion intensity, response evaluation, and response decision steps of social information processing. We evaluated a sample of 802 Portuguese adolescents (61.5% female; mean age = 16.44 years old) using this instrument. Item analysis and exploratory and confirmatory factor analytic procedures were used for psychometric examination. Two measures for attribution of intent were produced, including hostile and neutral; along with 3 emotion measures, focused on negative emotional states; 8 response evaluation measures; and 4 response decision measures, including prosocial and impaired social behavior. All of these measures achieved good internal consistency values and fit indicators. Boys seemed to favor and choose overt and relational aggression behaviors more often; girls conveyed higher levels of neutral attribution, sadness, and assertiveness and passiveness. The Scenes for Social Information Processing in Adolescence achieved adequate psychometric results and seems a valuable alternative for evaluating social information processing, even if it is essential to continue investigation into its internal and external validity. (c) 2016 APA, all rights reserved.
Sidheek, K P Fasli; Satyanarayana, Veena A; Sowmya, H R; Chandra, Prabha S
2017-12-01
A widely used and accepted scale for assessing resilience is the Connor-Davidson Resilience Scale (CD-RISC). The aim of the present study was to establish the psychometric properties of the Kannada version of the scale and assess the relationship between resilience and psychological distress in a sample of adolescent girls living in low-income settings. Data was obtained from a sample of 606 adolescent girls studying in a college meant for women from a socio-economically disadvantaged setting. The CD- RISC (25 item) was used to assess resilience and Kessler Psychological Distress Scale (K10) was used to assess psychological distress. Exploratory factor analysis yielded four stable factors instead of the original five factors. Similar results have been obtained in other factor-analytic studies. A significant negative correlation was found between psychological distress and resilience. Our study shows that the CD-RISC is a valuable measure to assess resilience among adolescents in low-income settings. Copyright © 2017 Elsevier B.V. All rights reserved.
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Liau, Albert Kienfie; Chow, Daryl; Tan, Teck Kiang; Senf, Konrad
2011-01-01
The purpose of this study was to establish the reliability and validity of the scores on a brief strengths-based assessment, the 22-item Personal Strengths Inventory (PSI). In Study 1, findings from exploratory factor analysis of 410 adolescents provided evidence for a five-factor solution--social competence (four items), emotional awareness (five…
ERIC Educational Resources Information Center
Ang, Rebecca P.; Chong, Wan Har; Huan, Vivien S.; Yeo, Lay See
2007-01-01
This article reports the development and initial validation of scores obtained from the Adolescent Concerns Measure (ACM), a scale which assesses concerns of Asian adolescent students. In Study 1, findings from exploratory factor analysis using 619 adolescents suggested a 24-item scale with four correlated factors--Family Concerns (9 items), Peer…
Improving Your Exploratory Factor Analysis for Ordinal Data: A Demonstration Using FACTOR
ERIC Educational Resources Information Center
Baglin, James
2014-01-01
Exploratory factor analysis (EFA) methods are used extensively in the field of assessment and evaluation. Due to EFA's widespread use, common methods and practices have come under close scrutiny. A substantial body of literature has been compiled highlighting problems with many of the methods and practices used in EFA, and, in response, many…
ERIC Educational Resources Information Center
Glutting, Joseph J.; Youngstrom, Eric A.; Watkins, Marley W.
2005-01-01
Exploratory factor analyses (EFAs) and confirmatory factor analyses (CFAs) were used to investigate the structure of the Student Report Inventory (SRI) and Parent Report Inventory (PRI) of the College Attention-Deficit/Hyperactivity Disorder (ADHD) Response Evaluation. The sample was composed of 1,080 college students and their parents and was…
ERIC Educational Resources Information Center
Dembo, Richard; Wareham, Jennifer; Schmeidler, James; Winters, Ken C.
2016-01-01
Research on samples of truant adolescents is limited, with little known about mental health problems among truant youths. This study provided an exploratory, multilevel examination of mental health problems for a sample of 300 truant adolescents. Confirmatory factor analysis indicated a single factor of multiple mental health problems at the…
Lin, Shu-Yu; Lee, Wei-Ju; Chou, Ming-Yueh; Peng, Li-Ning; Chiou, Shu-Ti; Chen, Liang-Kung
2016-01-01
Frailty Index, defined as an individual's accumulated proportion of listed health-related deficits, is a well-established metric used to assess the health status of old adults; however, it has not yet been developed in Taiwan, and its local related structure factors remain unclear. The objectives were to construct a Taiwan Frailty Index to predict mortality risk, and to explore the structure of its factors. Analytic data on 1,284 participants aged 53 and older were excerpted from the Social Environment and Biomarkers of Aging Study (2006), in Taiwan. A consensus workgroup of geriatricians selected 159 items according to the standard procedure for creating a Frailty Index. Cox proportional hazard modeling was used to explore the association between the Taiwan Frailty Index and mortality. Exploratory factor analysis was used to identify structure factors and produce a shorter version-the Taiwan Frailty Index Short-Form. During an average follow-up of 4.3 ± 0.8 years, 140 (11%) subjects died. Compared to those in the lowest Taiwan Frailty Index tertile (< 0.18), those in the uppermost tertile (> 0.23) had significantly higher risk of death (Hazard ratio: 3.2; 95% CI 1.9-5.4). Thirty-five items of five structure factors identified by exploratory factor analysis, included: physical activities, life satisfaction and financial status, health status, cognitive function, and stresses. Area under the receiver operating characteristic curves (C-statistics) of the Taiwan Frailty Index and its Short-Form were 0.80 and 0.78, respectively, with no statistically significant difference between them. Although both the Taiwan Frailty Index and Short-Form were associated with mortality, the Short-Form, which had similar accuracy in predicting mortality as the full Taiwan Frailty Index, would be more expedient in clinical practice and community settings to target frailty screening and intervention.
Well-being of intensive care nurses (WEBIC): a job analytic approach.
Le Blanc, P M; de Jonge, J; de Rijk, A E; Schaufeli, W B
2001-11-01
This paper presents the results of a validation study of the so-called well-being of intensive care nurses (WEBIC)-questionnaire that is designed to perform a detailed job analysis of intensive care unit (ICU) nurses' jobs. The WEBIC-questionnaire is based on modern sociotechnical systems theory, and distinguishes four integrated task categories: (1) operational, (2) organizing, (3) preparatory, and (4) supportive tasks. For each task, the WEBIC assesses (1) how demanding this task is, and (2) how satisfying the performance of this task is. Using the WEBIC, information is gathered about ICU nurses' qualitative workload, and typical job-related risks for ICU nurses' well-being at work can be mapped. A cross-sectional survey on work and well-being of almost 2000 ICU-nurses in 13 different European areas was conducted. Exploratory factor analyses were performed to study the validity of the factorial structure of the WEBIC-questionnaire. The construct validity of the WEBIC-questionnaire was studied by performing hierarchical multiple regression analyses of the WEBIC-factors on two types of job-related well-being, i.e. burnout and general job satisfaction. Results of the exploratory factor analyses showed that the hypothesized four-factor structure of the WEBIC is confirmed by our data. Internal consistencies of the different factors varied from 0.77 to 0.91. Intensive care unit nurses' most central (operational) tasks turned out to pose the greatest demands, but also seemed to drive their satisfaction. With respect to the relationships between the four WEBIC-factors, and burnout and general job satisfaction, it was found that, especially for the satisfying tasks, significant relationships with these outcomes were found. The reliability and construct validity of the WEBIC-questionnaire can be considered satisfactory. Furthermore, the questionnaire provides a systematical and detailed coverage of ICU nurses' tasks. In relation to this, the questionnaire is not only useful for scientific purposes but also for practical use.
An Exploratory Study of Student Motivations for Taking Online Courses and Learning Outcomes
ERIC Educational Resources Information Center
Nonis, Sarath A.; Fenner, Grant H.
2012-01-01
An investigation of students taking online classes exposed crucial student perceptions important to their selecting online/web-assisted courses. An exploratory factor analysis provided three factors of "convenience," "enjoyment & independence," and "no other option available" as motivations for students taking…
Eastwood, John G; Jalaludin, Bin B; Kemp, Lynn A
2014-01-01
A recent criticism of social epidemiological studies, and multi-level studies in particular has been a paucity of theory. We will present here the protocol for a study that aims to build a theory of the social epidemiology of maternal depression. We use a critical realist approach which is trans-disciplinary, encompassing both quantitative and qualitative traditions, and that assumes both ontological and hierarchical stratification of reality. We describe a critical realist Explanatory Theory Building Method comprising of an: 1) emergent phase, 2) construction phase, and 3) confirmatory phase. A concurrent triangulated mixed method multilevel cross-sectional study design is described. The Emergent Phase uses: interviews, focus groups, exploratory data analysis, exploratory factor analysis, regression, and multilevel Bayesian spatial data analysis to detect and describe phenomena. Abductive and retroductive reasoning will be applied to: categorical principal component analysis, exploratory factor analysis, regression, coding of concepts and categories, constant comparative analysis, drawing of conceptual networks, and situational analysis to generate theoretical concepts. The Theory Construction Phase will include: 1) defining stratified levels; 2) analytic resolution; 3) abductive reasoning; 4) comparative analysis (triangulation); 5) retroduction; 6) postulate and proposition development; 7) comparison and assessment of theories; and 8) conceptual frameworks and model development. The strength of the critical realist methodology described is the extent to which this paradigm is able to support the epistemological, ontological, axiological, methodological and rhetorical positions of both quantitative and qualitative research in the field of social epidemiology. The extensive multilevel Bayesian studies, intensive qualitative studies, latent variable theory, abductive triangulation, and Inference to Best Explanation provide a strong foundation for Theory Construction. The study will contribute to defining the role that realism and mixed methods can play in explaining the social determinants and developmental origins of health and disease.
[Factor structure validity of the social capital scale used at baseline in the ELSA-Brasil study].
Souto, Ester Paiva; Vasconcelos, Ana Glória Godoi; Chor, Dora; Reichenheim, Michael E; Griep, Rosane Härter
2016-07-21
This study aims to analyze the factor structure of the Brazilian version of the Resource Generator (RG) scale, using baseline data from the Brazilian Longitudinal Health Study in Adults (ELSA-Brasil). Cross-validation was performed in three random subsamples. Exploratory factor analysis using exploratory structural equation models was conducted in the first two subsamples to diagnose the factor structure, and confirmatory factor analysis was used in the third to corroborate the model defined by the exploratory analyses. Based on the 31 initial items, the model with the best fit included 25 items distributed across three dimensions. They all presented satisfactory convergent validity (values greater than 0.50 for the extracted variance) and precision (values greater than 0.70 for compound reliability). All factor correlations were below 0.85, indicating full discriminative factor validity. The RG scale presents acceptable psychometric properties and can be used in populations with similar characteristics.
Managing Transnational Education: Does National Culture Really Matter?
ERIC Educational Resources Information Center
Eldridge, Kaye; Cranston, Neil
2009-01-01
This article reports on an exploratory study that examined the effect of national culture upon the management of Australia's provision of transnational higher education in Thailand. In particular, using Hofstede's national cultural value dimensions as an analytical tool, interviews with managers responsible for Australia's provision of…
Sexual Harassment Retaliation Climate DEOCS 4.1 Construct Validity Summary
2017-08-01
exploratory factor analysis, and bivariate correlations (sample 1) 2) To determine the factor structure of the remaining (final) questions via...statistics, reliability analysis, exploratory factor analysis, and bivariate correlations of the prospective Sexual Harassment Retaliation Climate...reported by the survey requester). For information regarding the composition of sample, refer to Table 1. Table 1. Sample 1 Demographics n
ERIC Educational Resources Information Center
Schmitt, Thomas A.; Sass, Daniel A.
2011-01-01
Exploratory factor analysis (EFA) has long been used in the social sciences to depict the relationships between variables/items and latent traits. Researchers face many choices when using EFA, including the choice of rotation criterion, which can be difficult given that few research articles have discussed and/or demonstrated their differences.…
ERIC Educational Resources Information Center
Kagee, Ashraf; Coetzee, Bronwyne; Saal, Wylene; Nel, Adriaan
2015-01-01
We administered the Beck Anxiety Inventory (BAI) to 101 adults receiving HIV treatment. Exploratory factor analysis yielded a single anxiety factor that accounted for 68.7% of the variance in the data. A single score may be used to indicate the overall level of anxiety of individuals receiving HIV treatment in South Africa.
Kaiser, Gudrun; Kues, Johanna N; Kleinstäuber, Maria; Andersson, Gerhard; Weise, Cornelia
2017-11-07
During the premenstrual phase, psychological and physiological changes can occur, which are associated with different levels of disability. When they appear with Premenstrual Dysphoric Disorder (PMDD), different coping strategies may be used by women to deal with premenstrual changes. Currently no German measure exists for assessing premenstrual symptom-related coping strategies. Therefore, we developed the Premenstrual Change Coping Inventory (PMS-Cope). First, the 33-item questionnaire was tested with an exploratory factor analytic approach (EFA) in a sample of 150 women prospectively diagnosed with PMDD or severe Premenstrual Syndrome from August 2013 until March 2016. The EFA resulted in a 12-item scale with a two-factor structure: "seeking positive affect-inducing activities" and "seeking support"; Cronbach`s alpha of 0.73 and 0.71, respectively, demonstrated good reliability for both factors. Confirmatory factor analysis based on a second sample of 89 women conducted from May 2016 until June 2016 confirmed the two-factor structure. Additionally, a potential third factor "healthcare use behavior" was tested with an EFA. For the three-factor solution, satisfactory Cronbach's alpha values (0.70-0.72) were detected. The PMS-Cope was shown to be a valid, reliable, and economic measure. In future research, cross validations and confirmatory factor analyses with the three-factor solution should be conducted.
Atkins, Rahshida
2014-01-01
Several compendiums of instruments that measure perceived racism and/or discrimination are present in the literature. Other works have reviewed the psychometric properties of these instruments in terms of validity and reliability and have indicated if the instrument was factor analyzed. However, little attention has been given to the quality of the factor analysis performed. The aim of this study was to evaluate the exploratory factor analyses done on instruments measuring perceived racism/racial discrimination using guidelines from experts in psychometric theory. The techniques used for factor analysis were reviewed and critiqued and the adequacy of reporting was evaluated. Internet search engines and four electronic abstract databases were used to identify 16 relevant instruments that met the inclusion/exclusion criteria. Principal component analysis was the most frequent method of extraction (81%). Sample sizes were adequate for factor analysis in 81 percent of studies. The majority of studies reported appropriate criteria for the acceptance of un-rotated factors (81%) and justified the rotation method (75%). Exactly 94 percent of studies reported partially acceptable criteria for the acceptance of rotated factors. The majority of articles (69%) reported adequate coefficient alphas for the resultant subscales. In 81 percent of the studies, the conceptualized dimensions were supported by factor analysis.
Atkins, Rahshida
2015-01-01
Several compendiums of instruments that measure perceived racism and/or discrimination are present in the literature. Other works have reviewed the psychometric properties of these instruments in terms of validity and reliability and have indicated if the instrument was factor analyzed. However, little attention has been given to the quality of the factor analysis performed. The aim of this study was to evaluate the exploratory factor analyses done on instruments measuring perceived racism/racial discrimination using guidelines from experts in psychometric theory. The techniques used for factor analysis were reviewed and critiqued and the adequacy of reporting was evaluated. Internet search engines and four electronic abstract databases were used to identify 16 relevant instruments that met the inclusion/exclusion criteria. Principal component analysis was the most frequent method of extraction (81%). Sample sizes were adequate for factor analysis in 81 percent of studies. The majority of studies reported appropriate criteria for the acceptance of un-rotated factors (81%) and justified the rotation method (75%). Exactly 94 percent of studies reported partially acceptable criteria for the acceptance of rotated factors. The majority of articles (69%) reported adequate coefficient alphas for the resultant subscales. In 81 percent of the studies, the conceptualized dimensions were supported by factor analysis. PMID:25626225
Exploratory Bi-factor Analysis: The Oblique Case.
Jennrich, Robert I; Bentler, Peter M
2012-07-01
Bi-factor analysis is a form of confirmatory factor analysis originally introduced by Holzinger and Swineford (Psychometrika 47:41-54, 1937). The bi-factor model has a general factor, a number of group factors, and an explicit bi-factor structure. Jennrich and Bentler (Psychometrika 76:537-549, 2011) introduced an exploratory form of bi-factor analysis that does not require one to provide an explicit bi-factor structure a priori. They use exploratory factor analysis and a bifactor rotation criterion designed to produce a rotated loading matrix that has an approximate bi-factor structure. Among other things this can be used as an aid in finding an explicit bi-factor structure for use in a confirmatory bi-factor analysis. They considered only orthogonal rotation. The purpose of this paper is to consider oblique rotation and to compare it to orthogonal rotation. Because there are many more oblique rotations of an initial loading matrix than orthogonal rotations, one expects the oblique results to approximate a bi-factor structure better than orthogonal rotations and this is indeed the case. A surprising result arises when oblique bi-factor rotation methods are applied to ideal data.
Supporting Dynamic Quantization for High-Dimensional Data Analytics.
Guzun, Gheorghi; Canahuate, Guadalupe
2017-05-01
Similarity searches are at the heart of exploratory data analysis tasks. Distance metrics are typically used to characterize the similarity between data objects represented as feature vectors. However, when the dimensionality of the data increases and the number of features is large, traditional distance metrics fail to distinguish between the closest and furthest data points. Localized distance functions have been proposed as an alternative to traditional distance metrics. These functions only consider dimensions close to query to compute the distance/similarity. Furthermore, in order to enable interactive explorations of high-dimensional data, indexing support for ad-hoc queries is needed. In this work we set up to investigate whether bit-sliced indices can be used for exploratory analytics such as similarity searches and data clustering for high-dimensional big-data. We also propose a novel dynamic quantization called Query dependent Equi-Depth (QED) quantization and show its effectiveness on characterizing high-dimensional similarity. When applying QED we observe improvements in kNN classification accuracy over traditional distance functions. Gheorghi Guzun and Guadalupe Canahuate. 2017. Supporting Dynamic Quantization for High-Dimensional Data Analytics. In Proceedings of Ex-ploreDB'17, Chicago, IL, USA, May 14-19, 2017, 6 pages. https://doi.org/http://dx.doi.org/10.1145/3077331.3077336.
Resonant π + γ → π + π 0 amplitude from Quantum Chromodynamics
Briceño, Raúl A.; Dudek, Jozef J.; Edwards, Robert G.; ...
2015-12-08
We present the first ab initio calculation of a radiative transition of a hadronic resonance within Quantum Chromodynamics (QCD). We compute the amplitude formore » $$\\pi\\pi \\to \\pi\\gamma^\\star$$, as a function of the energy of the $$\\pi\\pi$$ pair and the virtuality of the photon, in the kinematic regime where $$\\pi\\pi$$ couples strongly to the unstable $$\\rho$$ resonance. This exploratory calculation is performed using a lattice discretization of QCD with quark masses corresponding to $$m_\\pi \\approx 400$$ MeV. As a result, we obtain a description of the energy dependence of the transition amplitude, constrained at 48 kinematic points, that we can analytically continue to the $$\\rho$$ pole and identify from its residue the $$\\rho \\to \\pi\\gamma^\\star$$ form-factor.« less
Kong, Xiaoqing; Chakraverty, Devasmita; Jeffe, Donna B.; Andriole, Dorothy A.; Wathington, Heather D.; Tai, Robert H.
2014-01-01
This exploratory qualitative study investigated how doctoral students reported their personal and professional interaction experiences that they believed might facilitate or impede their academic pursuits in biomedical research. We collected 19 in-depth interviews with doctoral students in biomedical research from eight universities, and we based our qualitative analytic approach on the work of Miles and Huberman. The results indicated that among different sources and types of interaction, academic and emotional interactions from family and teachers in various stages essentially affected students’ persistence in the biomedical science field. In addition, co-mentorship among peers, departmental environment, and volunteer experiences were other essential factors. This study also found related experiences among women and underrepresented minority students that were important to their academic pursuit. PMID:26166928
A single factor underlies the metabolic syndrome: a confirmatory factor analysis.
Pladevall, Manel; Singal, Bonita; Williams, L Keoki; Brotons, Carlos; Guyer, Heidi; Sadurni, Josep; Falces, Carles; Serrano-Rios, Manuel; Gabriel, Rafael; Shaw, Jonathan E; Zimmet, Paul Z; Haffner, Steven
2006-01-01
Confirmatory factor analysis (CFA) was used to test the hypothesis that the components of the metabolic syndrome are manifestations of a single common factor. Three different datasets were used to test and validate the model. The Spanish and Mauritian studies included 207 men and 203 women and 1,411 men and 1,650 women, respectively. A third analytical dataset including 847 men was obtained from a previously published CFA of a U.S. population. The one-factor model included the metabolic syndrome core components (central obesity, insulin resistance, blood pressure, and lipid measurements). We also tested an expanded one-factor model that included uric acid and leptin levels. Finally, we used CFA to compare the goodness of fit of one-factor models with the fit of two previously published four-factor models. The simplest one-factor model showed the best goodness-of-fit indexes (comparative fit index 1, root mean-square error of approximation 0.00). Comparisons of one-factor with four-factor models in the three datasets favored the one-factor model structure. The selection of variables to represent the different metabolic syndrome components and model specification explained why previous exploratory and confirmatory factor analysis, respectively, failed to identify a single factor for the metabolic syndrome. These analyses support the current clinical definition of the metabolic syndrome, as well as the existence of a single factor that links all of the core components.
Administrating Transnational Education: A Cross-Cultural Application of Hodgkinson's Values Paradigm
ERIC Educational Resources Information Center
Eldridge, Kaye; Cranston, Neil
2009-01-01
This article reports on an exploratory study which employed Hodgkinson's values paradigm as an analytical tool for explaining how administrators of transnational education programmes understand national cultural values to affect their work and working environment. In particular, interviews with managers responsible for Australia's provision of…
Smart Partnerships to Increase Equity in Education
ERIC Educational Resources Information Center
Leahy, Margaret; Davis, Niki; Lewin, Cathy; Charania, Amina; Nordin, Hasniza; Orlic, Davor; Butler, Deirdre; Lopez-Fernadez, Olatz
2016-01-01
This exploratory analysis of smart partnerships identifies the risk of increasing the digital divide with the deployment of data analytics. Smart partnerships in education appear to include a process of evolution into a synergy of strategic and holistic approaches that enhance the quality of education with digital technologies, harnessing ICT…
Validity of the posttraumatic stress disorders (PTSD) checklist in pregnant women.
Gelaye, Bizu; Zheng, Yinnan; Medina-Mora, Maria Elena; Rondon, Marta B; Sánchez, Sixto E; Williams, Michelle A
2017-05-12
The PTSD Checklist-civilian (PCL-C) is one of the most commonly used self-report measures of PTSD symptoms, however, little is known about its validity when used in pregnancy. This study aims to evaluate the reliability and validity of the PCL-C as a screen for detecting PTSD symptoms among pregnant women. A total of 3372 pregnant women who attended their first prenatal care visit in Lima, Peru participated in the study. We assessed the reliability of the PCL-C items using Cronbach's alpha. Criterion validity and performance characteristics of PCL-C were assessed against an independent, blinded Clinician-Administered PTSD Scale (CAPS) interview using measures of sensitivity, specificity and receiver operating characteristics (ROC) curves. We tested construct validity using exploratory and confirmatory factor analytic approaches. The reliability of the PCL-C was excellent (Cronbach's alpha =0.90). ROC analysis showed that a cut-off score of 26 offered optimal discriminatory power, with a sensitivity of 0.86 (95% CI: 0.78-0.92) and a specificity of 0.63 (95% CI: 0.62-0.65). The area under the ROC curve was 0.75 (95% CI: 0.71-0.78). A three-factor solution was extracted using exploratory factor analysis and was further complemented with three other models using confirmatory factor analysis (CFA). In a CFA, a three-factor model based on DSM-IV symptom structure had reasonable fit statistics with comparative fit index of 0.86 and root mean square error of approximation of 0.09. The Spanish-language version of the PCL-C may be used as a screening tool for pregnant women. The PCL-C has good reliability, criterion validity and factorial validity. The optimal cut-off score obtained by maximizing the sensitivity and specificity should be considered cautiously; women who screened positive may require further investigation to confirm PTSD diagnosis.
ERIC Educational Resources Information Center
Sitticharoon, Chantacha; Srisuma, Sorachai; Kanavitoon, Sawita; Summachiwakij, Sarawut
2014-01-01
The relationships among the scores of major subjects taught in the first preclinical year of a Thai medical school, previous academic achievements, and daily life activities are rarely explored. We therefore performed an exploratory study identifying various factors possibly related to the educational scores of these medical students.…
Exploratory Factor Analysis with Small Sample Sizes
ERIC Educational Resources Information Center
de Winter, J. C. F.; Dodou, D.; Wieringa, P. A.
2009-01-01
Exploratory factor analysis (EFA) is generally regarded as a technique for large sample sizes ("N"), with N = 50 as a reasonable absolute minimum. This study offers a comprehensive overview of the conditions in which EFA can yield good quality results for "N" below 50. Simulations were carried out to estimate the minimum required "N" for different…
High-Dimensional Exploratory Item Factor Analysis by a Metropolis-Hastings Robbins-Monro Algorithm
ERIC Educational Resources Information Center
Cai, Li
2010-01-01
A Metropolis-Hastings Robbins-Monro (MH-RM) algorithm for high-dimensional maximum marginal likelihood exploratory item factor analysis is proposed. The sequence of estimates from the MH-RM algorithm converges with probability one to the maximum likelihood solution. Details on the computer implementation of this algorithm are provided. The…
Testing Measurement Invariance in the Target Rotated Multigroup Exploratory Factor Model
ERIC Educational Resources Information Center
Dolan, Conor V.; Oort, Frans J.; Stoel, Reinoud D.; Wicherts, Jelte M.
2009-01-01
We propose a method to investigate measurement invariance in the multigroup exploratory factor model, subject to target rotation. We consider both oblique and orthogonal target rotation. This method has clear advantages over other approaches, such as the use of congruence measures. We demonstrate that the model can be implemented readily in the…
What Is Rotating in Exploratory Factor Analysis?
ERIC Educational Resources Information Center
Osborne, Jason W.
2015-01-01
Exploratory factor analysis (EFA) is one of the most commonly-reported quantitative methodology in the social sciences, yet much of the detail regarding what happens during an EFA remains unclear. The goal of this brief technical note is to explore what "rotation" is, what exactly is rotating, and why we use rotation when performing…
Bayesian Exploratory Factor Analysis
Conti, Gabriella; Frühwirth-Schnatter, Sylvia; Heckman, James J.; Piatek, Rémi
2014-01-01
This paper develops and applies a Bayesian approach to Exploratory Factor Analysis that improves on ad hoc classical approaches. Our framework relies on dedicated factor models and simultaneously determines the number of factors, the allocation of each measurement to a unique factor, and the corresponding factor loadings. Classical identification criteria are applied and integrated into our Bayesian procedure to generate models that are stable and clearly interpretable. A Monte Carlo study confirms the validity of the approach. The method is used to produce interpretable low dimensional aggregates from a high dimensional set of psychological measurements. PMID:25431517
Urbán, Róbert; Arrindell, Willem A; Demetrovics, Zsolt; Unoka, Zsolt; Timman, Reinier
2016-05-30
Four decades have elapsed since the introduction for clinical and research purposes of the Symptom Checklist-90(-R). Yet, its underlying dimensional structure has not been clearly delineated. A shift has been observed in the methods utilized-from predominantly exploratory factor analytic in nature in the first two decades or so to different confirmatory methods in recent years. A need remains to search for a structure that remains invariant across samples and nations. In that context, the present study attempted to replicate and extend recent findings yielded in a Hungarian general population sample (N=2,874) with two psychiatric patient samples from Hungary (N=972) and The Netherlands (N=1,902). In doing so, four models were contrasted: the one-factor model, Derogatis' nine factor model, a second-ordered factor model, and a bi-factor model. The bi-factor model was shown to yield the closest fit to the data in both countries. Further studies are needed to determine the stable number and kind of subscale scores that reflect the specific (primary) symptoms best, that is, those subscales with minimal shared variance with the overall general psychological distress dimension. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.
NASA Astrophysics Data System (ADS)
Äijälä, Mikko; Heikkinen, Liine; Fröhlich, Roman; Canonaco, Francesco; Prévôt, André S. H.; Junninen, Heikki; Petäjä, Tuukka; Kulmala, Markku; Worsnop, Douglas; Ehn, Mikael
2017-03-01
Mass spectrometric measurements commonly yield data on hundreds of variables over thousands of points in time. Refining and synthesizing this raw data into chemical information necessitates the use of advanced, statistics-based data analytical techniques. In the field of analytical aerosol chemistry, statistical, dimensionality reductive methods have become widespread in the last decade, yet comparable advanced chemometric techniques for data classification and identification remain marginal. Here we present an example of combining data dimensionality reduction (factorization) with exploratory classification (clustering), and show that the results cannot only reproduce and corroborate earlier findings, but also complement and broaden our current perspectives on aerosol chemical classification. We find that applying positive matrix factorization to extract spectral characteristics of the organic component of air pollution plumes, together with an unsupervised clustering algorithm, k-means+ + , for classification, reproduces classical organic aerosol speciation schemes. Applying appropriately chosen metrics for spectral dissimilarity along with optimized data weighting, the source-specific pollution characteristics can be statistically resolved even for spectrally very similar aerosol types, such as different combustion-related anthropogenic aerosol species and atmospheric aerosols with similar degree of oxidation. In addition to the typical oxidation level and source-driven aerosol classification, we were also able to classify and characterize outlier groups that would likely be disregarded in a more conventional analysis. Evaluating solution quality for the classification also provides means to assess the performance of mass spectral similarity metrics and optimize weighting for mass spectral variables. This facilitates algorithm-based evaluation of aerosol spectra, which may prove invaluable for future development of automatic methods for spectra identification and classification. Robust, statistics-based results and data visualizations also provide important clues to a human analyst on the existence and chemical interpretation of data structures. Applying these methods to a test set of data, aerosol mass spectrometric data of organic aerosol from a boreal forest site, yielded five to seven different recurring pollution types from various sources, including traffic, cooking, biomass burning and nearby sawmills. Additionally, three distinct, minor pollution types were discovered and identified as amine-dominated aerosols.
ERIC Educational Resources Information Center
Martinussen, Rhonda; Hayden, Jill; Hogg-Johnson, Sheilah; Tannock, Rosemary
2005-01-01
Objective: To determine the empirical evidence for deficits in working memory (WM) processes in children and adolescents with attention-deficit/hyperactivity disorder (ADHD). Method: Exploratory meta-analytic procedures were used to investigate whether children with ADHD exhibit WM impairments. Twenty-six empirical research studies published from…
Academic Analytics: Anatomy of an Exploratory Essay
ERIC Educational Resources Information Center
Ferreira, Sérgio André; Andrade, António
2016-01-01
Investment in technological subsystems to support the activity of teaching and learning and the various areas of the life of Higher Education Institutions (HEI) is of increasing importance in the implementation of the policy and strategy of these organizations. Each of these subsystems collects a huge amount of data that, if properly organized,…
Effect of the Level of Inquiry on Student Interactions in Chemistry Laboratories
ERIC Educational Resources Information Center
Xu, Haozhi; Talanquer, Vicente
2013-01-01
The central goal of our exploratory study was to investigate differences in college chemistry students' interactions during lab experiments with different levels of inquiry. This analysis was approached from three major analytic dimensions: (i) functional analysis; (ii) cognitive processing; and (iii) social processing. According to our results,…
Metalinguistic Knowledge and Cognitive Style in Polish Classroom Learners of English
ERIC Educational Resources Information Center
Zietek, Agnieszka A.; Roehr, Karen
2011-01-01
In this exploratory study, we investigated the relationship between level of English metalinguistic knowledge, or explicit knowledge about the English language, and cognitive style on the wholist/analytic dimension in an intact group of young adult Polish learners of English as a foreign language. Contrary to expectation, metalinguistic knowledge…
ERIC Educational Resources Information Center
Hirano, Eliana
2009-01-01
This paper compares the rhetorical organization of research article introductions in Brazilian Portuguese and in English within a subfield of Applied Linguistics. Using Swales' (1990) CARS model as an analytical tool, this exploratory study investigated 20 research articles. The findings indicate that introductions in Brazilian Portuguese tend to…
McGivney, C L; Gough, K F; McGivney, B A; Farries, G; Hill, E W; Katz, L M
2018-06-23
Conflicting results have been reported for risk factors for recurrent laryngeal neuropathy (RLN) based on resting endoscopic evaluation and comparison of single conformation traits, with many traits correlated to one another. To simplify identification of signalment and conformation traits (i.e. variables) associated with RLN cases and controls diagnosed with exercising overground endoscopy (OGE) using exploratory factor analysis (EFA). Prospective cohort. Pearson's rank correlation was used to establish significance and association between variables collected from n = 188 Thoroughbreds from one stable by observers blinded to OGE results. Exploratory factor analysis was conducted on 9 variables for cases and controls; common elements between variables developed a factor, with variables grouped into 3 factors for cases and controls, respectively. Correlation (loading) between each variable and factor was calculated to rank relationships between variables and cases/controls, with factors retrospectively named based on their underlying correlations with variables. Numerous inter-correlations were present between variables. Most strongly correlated in cases were wither height with body weight (r = 0.70) and ventral neck length (r = 0.68) and in controls body weight with rostral neck circumference (r = 0.58). Wither height (r = 0.61) significantly loaded the top-ranked factor for cases ('height RLN '), explaining 25% of conformational variance. Ventral neck length (r = 0.69) and age (r = 0.57) significantly loaded the second-ranked factor for cases ('neck length RLN '), explaining 16% of conformational variance. Rostral neck circumference (r = 0.86) and body weight (r = 0.6) significantly loaded the top-ranked factor for controls ('body size CON '), explaining 19% of the variance. Wither height (r = 0.84) significantly loaded the second-ranked factor for controls ('height CON '), explaining 13% of the variance. Horses had not reached skeletal maturity. Exploratory factor analysis allowed weightings to be determined for each variable. Wither height was the predominant conformational feature associated with RLN. Exploratory factor analysis confirms aggregated conformational differences exist between RLN cases and controls, suitable for future evaluations. This article is protected by copyright. All rights reserved. This article is protected by copyright. All rights reserved.
ERIC Educational Resources Information Center
Zhang, Bo; Li, Changyu
2011-01-01
This research presents a classification theory for the L2 vocabulary learning strategies. Based on the exploratory and confirmatory factor analyses of strategies that adult Chinese English learners used, this theory identifies six categories, four of which are related to the cognitive process in lexical acquisition and the other two are…
ERIC Educational Resources Information Center
Ali, Shainna; Lambie, Glenn; Bloom, Zachary D.
2017-01-01
The Sexual Orientation Counselor Competency Scale (SOCCS), developed by Bidell in 2005, measures counselors' levels of skills, awareness, and knowledge in assisting lesbian, gay, or bisexual (LGB) clients. In an effort to gain an increased understanding of the construct validity of the SOCCS, researchers performed an exploratory factor analysis on…
An Exploratory Factor Analysis of the URICA among Couple Therapy Participants
ERIC Educational Resources Information Center
Tambling, Rachel B.; Johnson, Lee N.
2012-01-01
Assessing and measuring client motivation to change has been of great interest to therapists and researchers in a variety of fields. This article presents the results of an exploratory factor analysis of the University of Rhode Island Change Assessment (URICA), a measure of motivation to change, in a sample of individuals in couple therapy. Four…
Ordinary Least Squares Estimation of Parameters in Exploratory Factor Analysis with Ordinal Data
ERIC Educational Resources Information Center
Lee, Chun-Ting; Zhang, Guangjian; Edwards, Michael C.
2012-01-01
Exploratory factor analysis (EFA) is often conducted with ordinal data (e.g., items with 5-point responses) in the social and behavioral sciences. These ordinal variables are often treated as if they were continuous in practice. An alternative strategy is to assume that a normally distributed continuous variable underlies each ordinal variable.…
ERIC Educational Resources Information Center
Yu, Taeho; Richardson, Jennifer C.
2015-01-01
The purpose of this study was to develop an effective instrument to measure student readiness in online learning with reliable predictors of online learning success factors such as learning outcomes and learner satisfaction. The validity and reliability of the Student Online Learning Readiness (SOLR) instrument were tested using exploratory factor…
ERIC Educational Resources Information Center
Carey, John; Brigman, Greg; Webb, Linda; Villares, Elizabeth; Harrington, Karen
2014-01-01
This article describes the development of the Student Engagement in School Success Skills instrument including item development and exploratory factor analysis. The instrument was developed to measure student use of the skills and strategies identified as most critical for long-term school success that are typically taught by school counselors.
Kumar, S. Ganesh; Sarkar, Sonali
2017-01-01
Background: Nonscholastic abilities among medical students are an important area of concern for the health professionals. Very few studies had been conducted in the past with regard to it. Objective: This study was an exploratory study aimed to assess the nonscholastic abilities among medical students in a medical institution in coastal South India. Materials and Methods: This study assessed three broad domains of nonscholastic abilities namely personal qualities, interpersonal activities, and communication skills among 106 medical students using a structured questionnaire (27 questions with a total score of 27). The data were analyzed by independent t-test and linear regression model. Results: About 41.5% (44) of the subjects were males and 52.8% (56) of them were belonged to 18–19 years age group. Overall mean score of nonscholastic abilities was found to be 19.40 (standard deviation = 3.27). Percentile distribution of subjects is at score 17 (25th percentile), 20 (50th percentile), and 22 (75th percentile). Mean personal quality domain score was found to be proportionately lesser than other domains of nonscholastic abilities. Nonscholastic ability score was significantly associated with marks obtained in the previous examination (P = 0.006). However, linear regression analysis revealed that the presence of family problems (P = 0.005) and alcohol use (P = 0.026) were associated with low nonscholastic ability score among medical students. Conclusion: Nonscholastic abilities are still a required need in medical student's career. Further analytical studies will help in identifying the in-depth evaluation of factors associated with it. PMID:28546968
Burt, Tal; John, Christy S; Ruckle, Jon L; Vuong, Le T
2017-05-01
Phase-0 studies, including microdosing, also called Exploratory Investigational New Drug (eIND) or exploratory clinical trials, are a regulatory framework for first-in-human (FIH) trials. Common to these approaches is the use and implied safety of limited exposures to test articles. Use of sub-pharmacological doses in phase-0/microdose studies requires sensitive analytic tools such as accelerator mass spectrometer (AMS), Positron Emission Tomography (PET), and Liquid Chromatography Tandem Mass Spectrometry (LC-MS/MS) to determine drug disposition. Areas covered: Here we present a practical guide to the range of methodologies, design options, and conduct strategies that can be used to increase the efficiency of drug development. We provide detailed examples of relevant developmental scenarios. Expert opinion: Validation studies over the past decade demonstrated the reliability of extrapolation of sub-pharmacological to therapeutic-level exposures in more than 80% of cases, an improvement over traditional allometric approaches. Applications of phase-0/microdosing approaches include study of pharmacokinetic and pharmacodynamic properties, target tissue localization, drug-drug interactions, effects in vulnerable populations (e.g. pediatric), and intra-target microdosing (ITM). Study design should take into account the advantages and disadvantages of each analytic tool. Utilization of combinations of these analytic techniques increases the versatility of study designs and the power of data obtained.
Evaluation of Colorado Learning Attitudes about Science Survey
NASA Astrophysics Data System (ADS)
Douglas, K. A.; Yale, M. S.; Bennett, D. E.; Haugan, M. P.; Bryan, L. A.
2014-12-01
The Colorado Learning Attitudes about Science Survey (CLASS) is a widely used instrument designed to measure student attitudes toward physics and learning physics. Previous research revealed a fairly complex factor structure. In this study, exploratory and confirmatory factor analyses were conducted on data from an undergraduate introductory physics course (n =3844 ) to determine whether a more parsimonious factor structure exists. Exploratory factor analysis results indicate that many of the items from the original CLASS have poor psychometric properties and could not be used in a revised factor structure. The cross validation showed acceptable fit statistics for a three factor model found in the exploratory factor analysis. This research suggests that a more optimum measurement of students' attitudes about physics and learning physics is obtained with a 15-item instrument, which describes the factors of personal application, personal effort, and problem solving. The proposed revised version of the CLASS offers researchers the opportunity to test a shortened version of the instrument that may be able to provide information about students' attitudes in the areas of personal application of physics, personal effort in a physics course, and approaches to problem solving.
O'Malley, A James; Zaslavsky, Alan M; Hays, Ron D; Hepner, Kimberly A; Keller, San; Cleary, Paul D
2005-01-01
Objectives To estimate the associations among hospital-level scores from the Consumer Assessments of Healthcare Providers and Systems (CAHPS®) Hospital pilot survey within and across different services (surgery, obstetrics, medical), and to evaluate differences between hospital- and patient-level analyses. Data Source CAHPS Hospital pilot survey data provided by the Centers for Medicare and Medicaid Services. Study Design Responses to 33 questionnaire items were analyzed using patient- and hospital-level exploratory factor analytic (EFA) methods to identify both a patient-level and hospital-level composite structures for the CAHPS Hospital survey. The latter EFA was corrected for patient-level sampling variability using a hierarchical model. We compared results of these analyses with each other and to separate EFAs conducted at the service level. To quantify the similarity of assessments across services, we compared correlations of different composites within the same service with those of the same composite across different services. Data Collection Cross-sectional data were collected during the summer of 2003 via mail and telephone from 19,720 patients discharged from November 2002 through January 2003 from 132 hospitals in three states. Principal Findings Six factors provided the best description of inter-item covariation at the patient level. Analyses that assessed variability across both services and hospitals suggested that three dimensions provide a parsimonious summary of inter-item covariation at the hospital level. Hospital-level factor structures also differed across services; as much variation in quality reports was explained by service as by composite. Conclusions Variability of CAHPS scores across hospitals can be reported parsimoniously using a limited number of composites. There is at least as much distinct information in composite scores from different services as in different composite scores within each service. Because items cluster slightly differently in the different services, service-specific composites may be more informative when comparing patients in a given service across hospitals. When studying individual-level variability, a more differentiated structure is probably more appropriate. PMID:16316439
ERIC Educational Resources Information Center
Ellison, William D.; Levy, Kenneth N.
2012-01-01
Using exploratory structural equation modeling and multiple regression, we examined the factor structure and criterion relations of the primary scales of the Inventory of Personality Organization (IPO; Kernberg & Clarkin, 1995) in a nonclinical sample. Participants (N = 1,260) completed the IPO and measures of self-concept clarity, defenses,…
ERIC Educational Resources Information Center
Lennon, Patricia A.
2010-01-01
This researcher examined the relationship of bureaucratic structure to school climate by means of an exploratory factor analysis of a measure of bureaucracy developed by Hoy and Sweetland (2000) and the four dimensional measure of climate developed by Hoy, Smith, and Sweetland (2002). Since there had been no other empirical studies whose authors…
ERIC Educational Resources Information Center
Osborne, Jason W.; Fitzpatrick, David C.
2012-01-01
Exploratory Factor Analysis (EFA) is a powerful and commonly-used tool for investigating the underlying variable structure of a psychometric instrument. However, there is much controversy in the social sciences with regard to the techniques used in EFA (Ford, MacCallum, & Tait, 1986; Henson & Roberts, 2006) and the reliability of the outcome.…
ERIC Educational Resources Information Center
Tu, Howard S.; Forret, Monica L.; Sullivan, Sherry E.
2006-01-01
Purpose: The aim of this paper is to conduct an exploratory empirical examination to determine if factors (e.g. demographic, human capital, motivational, and organizational) associated with career success in Western countries are also related to the career outcomes of Chinese managers. Design/methodology/approach: Survey data were obtained from…
Rotation to a Partially Specified Target Matrix in Exploratory Factor Analysis: How Many Targets?
ERIC Educational Resources Information Center
Myers, Nicholas D.; Ahn, Soyeon; Jin, Ying
2013-01-01
The purpose of this study was to explore the influence of the number of targets specified on the quality of exploratory factor analysis solutions with a complex underlying structure and incomplete substantive measurement theory. Three Monte Carlo studies were performed based on the ratio of the number of observed variables to the number of…
ERIC Educational Resources Information Center
Ker, H. W.
2016-01-01
Reports from the Trends in International Mathematics and Science Study (TIMSS) consistently show that there is a substantial gap in average mathematics achievement between Singapore and the USA. This study conducts an exploratory comparative investigation on the multilevel factors influencing the mathematics achievement of students from these two…
ERIC Educational Resources Information Center
Karkouti, Ibrahim Mohamad
2016-01-01
This qualitative, exploratory case study was designed to elicit faculty members' perceptions of the factors that facilitate technology integration into their instruction. The study was conducted at a midsized higher education institution in Qatar. Davis's (1986) technology acceptance model (TAM) is the conceptual framework that guided this study…
Antonius, Daniel; Sinclair, Samuel Justin; Shiva, Andrew A; Messinger, Julie W; Maile, Jordan; Siefert, Caleb J; Belfi, Brian; Malaspina, Dolores; Blais, Mark A
2013-01-01
The heterogeneity of violent behavior is often overlooked in risk assessment despite its importance in the management and treatment of psychiatric and forensic patients. In this study, items from the Personality Assessment Inventory (PAI) were first evaluated and rated by experts in terms of how well they assessed personality features associated with reactive and instrumental aggression. Exploratory principal component analyses (PCA) were then conducted on select items using a sample of psychiatric and forensic inpatients (n = 479) to examine the latent structure and construct validity of these reactive and instrumental aggression factors. Finally, a confirmatory factor analysis (CFA) was conducted on a separate sample of psychiatric inpatients (n = 503) to evaluate whether these factors yielded acceptable model fit. Overall, the exploratory and confirmatory analyses supported the existence of two latent PAI factor structures, which delineate personality traits related to reactive and instrumental aggression.
Using the 5Ps Leadership Analysis to Examine the Battle of Antietam: An Explanation and Case Study
ERIC Educational Resources Information Center
Hull, Bradley Z.; Allen, Scott J.
2012-01-01
The authors describe an exploratory analytical tool called "The 5Ps Leadership Analysis" (Personal Attributes, Position, Purpose, Practices/Processes, and Product) as a heuristic for better understanding the complexities of leadership. Using "The 5Ps Leadership Analysis," the authors explore the leadership of General Robert E.…
The Evaluation of Students' Written Reflection on the Learning of General Chemistry Lab Experiment
ERIC Educational Resources Information Center
Han, Ng Sook; Li, Ho Ket; Sin, Lee Choy; Sin, Keng Pei
2014-01-01
Reflective writing is often used to increase understanding and analytical ability. The lack of empirical evidence on the effect of reflective writing interventions on the learning of general chemistry lab experiment supports the examination of this concept. The central goal of this exploratory study was to evaluate the students' written…
ERIC Educational Resources Information Center
Hetzel-Riggin, Melanie D.; Brausch, Amy M.; Montgomery, Brad S.
2007-01-01
Objective: The purpose of the current study was to investigate the independent effects of different treatment elements on a number of secondary problems related to childhood and adolescent sexual abuse, as well as investigate a number of different moderators of treatment effectiveness. Method: Twenty-eight studies that provided treatment outcome…
Data Visualization: An Exploratory Study into the Software Tools Used by Businesses
ERIC Educational Resources Information Center
Diamond, Michael; Mattia, Angela
2017-01-01
Data visualization is a key component to business and data analytics, allowing analysts in businesses to create tools such as dashboards for business executives. Various software packages allow businesses to create these tools in order to manipulate data for making informed business decisions. The focus is to examine what skills employers are…
Introducing a Writing Coach into an MBA Course: Perspectives of Students and Coaches
ERIC Educational Resources Information Center
Rice-Bailey, Tammy; Baker, Kimberly S.
2017-01-01
This article describes an interdisciplinary partnership that resulted in the introduction of a writing coach into an MBA class on critical and analytical thinking. By examining the response to this role by the writing coaches themselves and by the students enrolled in three sections of this new course, this exploratory study endeavors to answer…
ERIC Educational Resources Information Center
Evnitskaya, Natalia; Berger, Evelyne
2017-01-01
Drawing on recent conversation-analytic and socio-interactionist research on students' participation in L1 and L2 classroom interaction in teacher-fronted activities, this paper makes a step further by presenting an exploratory study of students' displays of willingness to participate (WTP) in classroom interaction and pedagogical activities…
Logic of Sherlock Holmes in Technology Enhanced Learning
ERIC Educational Resources Information Center
Patokorpi, Erkki
2007-01-01
Abduction is a method of reasoning that people use under uncertainty in a context in order to come up with new ideas. The use of abduction in this exploratory study is twofold: (i) abduction is a cross-disciplinary analytic tool that can be used to explain certain key aspects of human-computer interaction in advanced Information Society Technology…
ERIC Educational Resources Information Center
Wyman, Steven K.; And Others
This exploratory study establishes analytical tools (based on both technical criteria and user feedback) by which federal Web site administrators may assess the quality of their websites. The study combined qualitative and quantitative data collection techniques to achieve the following objectives: (1) identify and define key issues regarding…
Data Visualization: An Exploratory Study into the Software Tools Used by Businesses
ERIC Educational Resources Information Center
Diamond, Michael; Mattia, Angela
2015-01-01
Data visualization is a key component to business and data analytics, allowing analysts in businesses to create tools such as dashboards for business executives. Various software packages allow businesses to create these tools in order to manipulate data for making informed business decisions. The focus is to examine what skills employers are…
Validation study of the Questionnaire on School Maladjustment Problems (QSMP).
de la Fuente Arias, Jesús; Peralta Sánchez, Francisco Javier; Sánchez Roda, María Dolores; Trianes Torres, María Victoria
2012-05-01
The aim of this study was to analyze the exploratory and confirmatory structure, as well as other psychometric properties, of the Cuestionario de Problemas de Convivencia Escolar (CPCE; in Spanish, the Questionnaire on School Maladjustment Problems [QSMP]), using a sample of Spanish adolescents. The instrument was administered to 60 secondary education teachers (53.4% females and 46.6% males) between the ages of 28 and 54 years (M= 41.2, SD= 11.5), who evaluated a total of 857 adolescent students. The first-order exploratory factor analysis identified 7 factors, explaining a total variance of 62%. A second-order factor analysis yielded three dimensions that explain 84% of the variance. A confirmatory factor analysis was subsequently performed in order to reduce the number of factors obtained in the exploratory analysis as well as the number of items. Lastly, we present the results of reliability, internal consistency, and validity indices. These results and their implications for future research and for the practice of educational guidance and intervention are discussed in the conclusions.
Iwanaga, Kanako; Umucu, Emre; Wu, Jia-Rung; Yaghmaian, Rana; Lee, Hui-Ling; Fitzgerald, Sandra; Chan, Fong
2017-07-04
Self-determination theory (SDT) and self-efficacy theory (SET) can be used to conceptualize self-determined motivation to engage in mental health and vocational rehabilitation (VR) services and to predict recovery. To incorporate SDT and SET as a framework for vocational recovery, developing and validating SDT/SET measures in vocational rehabilitation is warranted. Outcome expectancy is an important SDT/SET variable affecting rehabilitation engagement and recovery. The purpose of this study was to validate the Vocational Outcome Expectancy Scale (VOES) for use within the SDT/SET vocational recovery framework. One hundred and twenty-four individuals with serious mental illness (SMI) participated in this study. Measurement structure of the VOES was evaluated using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). Both EFA and CFA results supported a two-factor structure: (a) positive outcome expectancy, and (b) negative outcome expectancy. The internal consistency reliability coefficients for both factors were acceptable. In addition, positive outcome expectancy correlated stronger than negative outcome expectancy with other SDT/SET constructs in the expected directions. The VOES is a brief, reliable and valid instrument for assessing vocational outcome expectancy in individuals with SMI that can be integrated into SDT/SET as a vocational rehabilitation engagement and recovery model in psychiatric rehabilitation.
ERIC Educational Resources Information Center
Furnham, Adrian; Guenole, Nigel; Levine, Stephen Z.; Chamorro-Premuzic, Tomas
2013-01-01
This study presents new analyses of NEO Personality Inventory-Revised (NEO-PI-R) responses collected from a large British sample in a high-stakes setting. The authors show the appropriateness of the five-factor model underpinning these responses in a variety of new ways. Using the recently developed exploratory structural equation modeling (ESEM)…
ERIC Educational Resources Information Center
Tao, Yuexian; Haycock-Stuart, Elaine; Rodgers, Sheila E.
2016-01-01
Purpose: The purpose of this study was to explore factors that effect nursing students' decisions of whether to take rural jobs in China. Methods: An exploratory interview study was conducted in China during May and June 2011. Eleven final year nursing students were purposively recruited from four nursing schools in one eastern area in China. The…
Levant, Ronald F; Hall, Rosalie J; Rankin, Thomas J
2013-04-01
The current study reports the development from the Male Role Norms Inventory-Revised (MRNI-R; Levant, Rankin, Williams, Hasan, & Smalley, 2010) of the 21-item MRNI-Short Form (MRNI-SF). Confirmatory factor analysis of MRNI-SF responses from a sample of 1,017 undergraduate participants (549 men, 468 women) indicated that the best fitting "bifactor" model incorporated the hypothesized 7-factor structure while explicitly modeling an additional, general traditional masculinity ideology factor. Specifically, each item-level indicator loaded on 2 factors: a general traditional masculinity ideology factor and a specific factor corresponding to 1 of the 7 hypothesized traditional masculinity ideology norms. The bifactor model was assessed for measurement invariance across gender groups, with findings of full configural invariance and partial metric invariance, such that factor loadings were equivalent across the gender groups for the 7 specific factors but not for the general traditional masculinity ideology factor. Theoretical explanations for this latter result include the potential that men's sense of self or identity may be engaged when responding to questions asking to what extent they agree or disagree with normative statements about their behavior, a possibility that could be investigated in future research by examining the associations of the general and specific factors with measures of masculine identity. Additional exploratory invariance analyses demonstrated latent mean differences between men and women on 4 of the 8 factors, and equivocal results for invariance of item intercepts, item uniquenesses, and factor variances-covariances.
Web-based Visual Analytics for Extreme Scale Climate Science
DOE Office of Scientific and Technical Information (OSTI.GOV)
Steed, Chad A; Evans, Katherine J; Harney, John F
In this paper, we introduce a Web-based visual analytics framework for democratizing advanced visualization and analysis capabilities pertinent to large-scale earth system simulations. We address significant limitations of present climate data analysis tools such as tightly coupled dependencies, ineffi- cient data movements, complex user interfaces, and static visualizations. Our Web-based visual analytics framework removes critical barriers to the widespread accessibility and adoption of advanced scientific techniques. Using distributed connections to back-end diagnostics, we minimize data movements and leverage HPC platforms. We also mitigate system dependency issues by employing a RESTful interface. Our framework embraces the visual analytics paradigm via newmore » visual navigation techniques for hierarchical parameter spaces, multi-scale representations, and interactive spatio-temporal data mining methods that retain details. Although generalizable to other science domains, the current work focuses on improving exploratory analysis of large-scale Community Land Model (CLM) and Community Atmosphere Model (CAM) simulations.« less
2004-03-01
reliability coefficients are presented in chapter four in the factor analysis section. Along with Crobach’s Alpha coefficients, the Kaiser - Meyer - Olkin ...the pattern of correlation coefficients > 0.300 in the correlation matrix • Kaiser - Meyer - Olkin Measure of Sampling Adequacy (MSA) > 0.700 • Bartlett’s...exploratory factor analysis. The Kaiser - Meyer - Olkin measure of sampling adequacy yielded a value of .790, and Bartlett’s test of sphericity yielded a
Krohs, Ulrich
2012-03-01
Systems biology aims at explaining life processes by means of detailed models of molecular networks, mainly on the whole-cell scale. The whole cell perspective distinguishes the new field of systems biology from earlier approaches within molecular cell biology. The shift was made possible by the high throughput methods that were developed for gathering 'omic' (genomic, proteomic, etc.) data. These new techniques are made commercially available as semi-automatic analytic equipment, ready-made analytic kits and probe arrays. There is a whole industry of supplies for what may be called convenience experimentation. My paper inquires some epistemic consequences of strong reliance on convenience experimentation in systems biology. In times when experimentation was automated to a lesser degree, modeling and in part even experimentation could be understood fairly well as either being driven by hypotheses, and thus proceed by the testing of hypothesis, or as being performed in an exploratory mode, intended to sharpen concepts or initially vague phenomena. In systems biology, the situation is dramatically different. Data collection became so easy (though not cheap) that experimentation is, to a high degree, driven by convenience equipment, and model building is driven by the vast amount of data that is produced by convenience experimentation. This results in a shift in the mode of science. The paper shows that convenience driven science is not primarily hypothesis-testing, nor is it in an exploratory mode. It rather proceeds in a gathering mode. This shift demands another shift in the mode of evaluation, which now becomes an exploratory endeavor, in response to the superabundance of gathered data. Copyright © 2011 Elsevier Ltd. All rights reserved.
Exploratory factor analysis in Rehabilitation Psychology: a content analysis.
Roberson, Richard B; Elliott, Timothy R; Chang, Jessica E; Hill, Jessica N
2014-11-01
Our objective was to examine the use and quality of exploratory factor analysis (EFA) in articles published in Rehabilitation Psychology. Trained raters examined 66 separate exploratory factor analyses in 47 articles published between 1999 and April 2014. The raters recorded the aim of the EFAs, the distributional statistics, sample size, factor retention method(s), extraction and rotation method(s), and whether the pattern coefficients, structure coefficients, and the matrix of association were reported. The primary use of the EFAs was scale development, but the most widely used extraction and rotation method was principle component analysis, with varimax rotation. When determining how many factors to retain, multiple methods (e.g., scree plot, parallel analysis) were used most often. Many articles did not report enough information to allow for the duplication of their results. EFA relies on authors' choices (e.g., factor retention rules extraction, rotation methods), and few articles adhered to all of the best practices. The current findings are compared to other empirical investigations into the use of EFA in published research. Recommendations for improving EFA reporting practices in rehabilitation psychology research are provided.
Watson, Paul Barry; Seaton, Philippa; Sims, Deborah; Jamieson, Isabel; Mountier, Jane; Whittle, Rose; Saarikoski, Mikko
2014-01-01
The Clinical Learning Environment, Supervision and Nurse Teacher (CLES+T) scale measures student nurses' perceptions of clinical learning environments. This study evaluates the construct validity and internal reliability of the CLES+T in hospital settings in New Zealand. Comparisons are made between New Zealand and Finnish data. The CLES+T scale was completed by 416 Bachelor of Nursing students following hospital clinical placements between October 2008 and December 2009. Construct validity and internal reliability were assessed using exploratory factor analysis and Cronbach's alpha. Exploratory factor analysis supports 4 factors. Cronbach's alpha ranged from .82 to .93. All items except 1 loaded on the same factors found in unpublished Finnish data. The first factor combined 2 previous components from the published Finnish component analysis and was renamed: connecting with, and learning in, communities of clinical practice. The remaining 3 factors (Nurse teacher, Supervisory relationship, and Leadership style of the manager) corresponded to previous components and their conceptualizations. The CLES+T has good internal reliability and a consistent factor structure across samples. The consistency across international samples supports faculties and hospitals using the CLES+T to benchmark the quality of clinical learning environments provided to students.
Four factors underlying mouse behavior in an open field
Tanaka, Shoji; Young, Jared W.; Halberstadt, Adam L.; Masten, Virginia L.; Geyer, Mark A.
2012-01-01
The observation of the locomotor and exploratory behaviors of rodents in an open field is one of the most fundamental methods used in the field of behavioral pharmacology. A variety of behaviors can be recorded automatically and can readily generate a multivariate pattern of pharmacological effects. Nevertheless, the optimal ways to characterize observed behaviors and concomitant drug effects are still under development. The aim of this study was to extract meaningful behavioral factors that could explain variations in the observed variables from mouse exploration. Behavioral data were recorded from male C57BL/6J mice (n = 268) using the Behavioral Pattern Monitor (BPM). The BPM data were subjected to the exploratory factor analysis. The factor analysis extracted four factors: activity, sequential organization, diversive exploration, and inspective exploration. The activity factor and the two types of exploration factors correlated positively with one another, while the sequential organization factor negatively correlated with the remaining factors. The extracted factor structure constitutes a behavioral model of mouse exploration. This model will provide a platform on which one can assess the effects of psychoactive drugs and genetic manipulations on mouse exploratory behavior. Further studies are currently underway to examine the factor structure of similar multivariate data sets from humans tested in a human BPM. PMID:22569582
Choo, Wan Yuen; Walsh, Kerryann; Chinna, Karuthan; Tey, Nai Peng
2013-01-01
The Teacher Reporting Attitude Scale (TRAS) is a newly developed tool to assess teachers' attitudes toward reporting child abuse and neglect. This article reports on an investigation of the factor structure and psychometric properties of the short form Malay version of the TRAS. A self-report cross-sectional survey was conducted with 667 teachers in 14 randomly selected schools in Selangor state, Malaysia. Analyses were conducted in a 3-stage process using both confirmatory (stages 1 and 3) and exploratory factor analyses (stage 2) to test, modify, and confirm the underlying factor structure of the TRAS in a non-Western teacher sample. Confirmatory factor analysis did not support a 3-factor model previously reported in the original TRAS study. Exploratory factor analysis revealed an 8-item, 4-factor structure. Further confirmatory factor analysis demonstrated appropriateness of the 4-factor structure. Reliability estimates for the four factors-commitment, value, concern, and confidence-were moderate. The modified short form TRAS (Malay version) has potential to be used as a simple tool for relatively quick assessment of teachers' attitudes toward reporting child abuse and neglect. Cross-cultural differences in attitudes toward reporting may exist and the transferability of newly developed instruments to other populations should be evaluated.
Four factors underlying mouse behavior in an open field.
Tanaka, Shoji; Young, Jared W; Halberstadt, Adam L; Masten, Virginia L; Geyer, Mark A
2012-07-15
The observation of the locomotor and exploratory behaviors of rodents in an open field is one of the most fundamental methods used in the field of behavioral pharmacology. A variety of behaviors can be recorded automatically and can readily generate a multivariate pattern of pharmacological effects. Nevertheless, the optimal ways to characterize observed behaviors and concomitant drug effects are still under development. The aim of this study was to extract meaningful behavioral factors that could explain variations in the observed variables from mouse exploration. Behavioral data were recorded from male C57BL/6J mice (n=268) using the Behavioral Pattern Monitor (BPM). The BPM data were subjected to the exploratory factor analysis. The factor analysis extracted four factors: activity, sequential organization, diversive exploration, and inspective exploration. The activity factor and the two types of exploration factors correlated positively with one another, while the sequential organization factor negatively correlated with the remaining factors. The extracted factor structure constitutes a behavioral model of mouse exploration. This model will provide a platform on which one can assess the effects of psychoactive drugs and genetic manipulations on mouse exploratory behavior. Further studies are currently underway to examine the factor structure of similar multivariate data sets from humans tested in a human BPM. Copyright © 2012 Elsevier B.V. All rights reserved.
Mirel, Barbara
2009-02-13
Current usability studies of bioinformatics tools suggest that tools for exploratory analysis support some tasks related to finding relationships of interest but not the deep causal insights necessary for formulating plausible and credible hypotheses. To better understand design requirements for gaining these causal insights in systems biology analyses a longitudinal field study of 15 biomedical researchers was conducted. Researchers interacted with the same protein-protein interaction tools to discover possible disease mechanisms for further experimentation. Findings reveal patterns in scientists' exploratory and explanatory analysis and reveal that tools positively supported a number of well-structured query and analysis tasks. But for several of scientists' more complex, higher order ways of knowing and reasoning the tools did not offer adequate support. Results show that for a better fit with scientists' cognition for exploratory analysis systems biology tools need to better match scientists' processes for validating, for making a transition from classification to model-based reasoning, and for engaging in causal mental modelling. As the next great frontier in bioinformatics usability, tool designs for exploratory systems biology analysis need to move beyond the successes already achieved in supporting formulaic query and analysis tasks and now reduce current mismatches with several of scientists' higher order analytical practices. The implications of results for tool designs are discussed.
Hantavirus pulmonary syndrome: prognostic factors for death in reported cases in Brazil.
da Rosa Elkhoury, Mauro; da Silva Mendes, Wellington; Waldman, Eliseu Alves; Dias, Juarez Pereira; Carmo, Eduardo Hage; Fernando da Costa Vasconcelos, Pedro
2012-05-01
Hantavirus pulmonary syndrome (HPS) was described for the first time in Brazil in 1993 and has occurred endemically throughout the country. This study analysed clinical and laboratory aspects as well as death-related factors for HPS cases in Brazil from 1993 to 2006. The investigation comprised a descriptive and exploratory study of the history of cases as well as an analytical retrospective cohort survey to identify prognostic factors for death due to HPS. A total of 855 Brazilian HPS cases were assessed. The majority of cases occurred during spring (33.5%) and winter (27.6%), mainly among young male adults working in rural areas. The global case fatality rate was 39.3%. The mean interval between the onset of symptoms and hospitalisation was 4 days and that between hospitalisation and death was 1 day. In the multiple regression analysis, adult respiratory distress syndrome and mechanical respiratory support were associated with risk of death; when these two variables were excluded from the model, dyspnoea and haemoconcentration were associated with a higher risk of death. Copyright © 2012 Royal Society of Tropical Medicine and Hygiene. Published by Elsevier Ltd. All rights reserved.
Bidell, Markus P
2017-01-01
These three studies provide initial evidence for the development, factor structure, reliability, and validity of the Lesbian, Gay, Bisexual, and Transgender Development of Clinical Skills Scale (LGBT-DOCSS), a new interdisciplinary LGBT clinical self-assessment for health and mental health providers. Research participants were voluntarily recruited in the United States and United Kingdom and included trainees, clinicians, and educators from applied psychology, counseling, psychotherapy, and primary care medicine. Study 1 (N = 602) used exploratory and confirmatory factor analytic techniques, revealing an 18-item three-factor structure (Clinical Preparedness, Attitudinal Awareness, and Basic Knowledge). Study 2 established internal consistency for the overall LGBT-DOCSS (α = .86) and for each of the three subscales (Clinical Preparedness = .88, Attitudinal Awareness = .80, and Basic Knowledge = .83) and 2-week test-retest reliability (.87). In study 3 (N = 564), participant criteria (sexual orientation and education level) and four established scales that measured LGBT prejudice, assessment skills, and social desirability were used to support initial content and discriminant validity. Psychometric properties, limitations, and recommendations are discussed.
ERIC Educational Resources Information Center
Holligan, Chris; Deuchar, Ross
2011-01-01
This paper reports findings from an exploratory study of mainly young people's verbally articulated perceptions of urban life in Glasgow, Scotland. The focus is upon areas of deprivation where territory and social capital is contested and whose meanings are possibly only partially grasped by our informants. Their personal knowledge of violence and…
ERIC Educational Resources Information Center
Beckmann Wells, Patricia
2013-01-01
The purpose of this exploratory study was to examine the use of online storytelling as a motivation for young learners to practice narrative skills, measured through active choice, persistence and mental effort (Pintrich & Schunk, 2002). Web analytics was used to track 24 home schooled participants of an online application to teach a 21st…
A Systematic Review on Using Literature for the Young Learners in an EFL Classroom
ERIC Educational Resources Information Center
Al-hajji, Badria A.; Shuqair, Khaled M.
2014-01-01
This study has objectives that are exploratory and analytical in nature. It focuses on the use of relevant information with regard to the use of literature in EFL classrooms that is available for an analysis in order to draw conclusions and make useful recommendations. The study is, therefore, conducted as library research using the method of…
Feature Extraction of High-Dimensional Structures for Exploratory Analytics
2013-04-01
Comparison of Euclidean vs. geodesic distance. LDRs use metric based on the Euclidean distance between two points, while the NLDRs are based on...geodesic distance. An NLDR successfully unrolls the curved manifold, whereas an LDR fails. ...........................3 1 1. Introduction An...and classical metric multidimensional scaling, are a linear DR ( LDR ). An LDR is based on a linear combination of
ERIC Educational Resources Information Center
Barboza, Gustavo A.; Pesek, James
2012-01-01
Assessment of the business curriculum and its learning goals and objectives has become a major field of interest for business schools. The exploratory results of the authors' model using a sample of 173 students show robust support for the hypothesis that high marks in course-embedded assessment on business-specific analytical skills positively…
Choice Defines Value: A Predictive Modeling Competition in Health Preference Research.
Jakubczyk, Michał; Craig, Benjamin M; Barra, Mathias; Groothuis-Oudshoorn, Catharina G M; Hartman, John D; Huynh, Elisabeth; Ramos-Goñi, Juan M; Stolk, Elly A; Rand, Kim
2018-02-01
To identify which specifications and approaches to model selection better predict health preferences, the International Academy of Health Preference Research (IAHPR) hosted a predictive modeling competition including 18 teams from around the world. In April 2016, an exploratory survey was fielded: 4074 US respondents completed 20 out of 1560 paired comparisons by choosing between two health descriptions (e.g., longer life span vs. better health). The exploratory data were distributed to all teams. By July, eight teams had submitted their predictions for 1600 additional pairs and described their analytical approach. After these predictions had been posted online, a confirmatory survey was fielded (4148 additional respondents). The victorious team, "Discreetly Charming Econometricians," led by Michał Jakubczyk, achieved the smallest χ 2 , 4391.54 (a predefined criterion). Its primary scientific findings were that different models performed better with different pairs, that the value of life span is not constant proportional, and that logit models have poor predictive validity in health valuation. The results demonstrated the diversity and potential of new analytical approaches in health preference research and highlighted the importance of predictive validity in health valuation. Copyright © 2018 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.
Railway safety climate: a study on organizational development.
Cheng, Yung-Hsiang
2017-09-07
The safety climate of an organization is considered a leading indicator of potential risk for railway organizations. This study adopts the perceptual measurement-individual attribute approach to investigate the safety climate of a railway organization. The railway safety climate attributes are evaluated from the perspective of railway system staff. We identify four safety climate dimensions from exploratory factor analysis, namely safety communication, safety training, safety management and subjectively evaluated safety performance. Analytical results indicate that the safety climate differs at vertical and horizontal organizational levels. This study contributes to the literature by providing empirical evidence of the multilevel safety climate in a railway organization, presents possible causes of the differences under various cultural contexts and differentiates between safety climate scales for diverse workgroups within the railway organization. This information can be used to improve the safety sustainability of railway organizations and to conduct safety supervisions for the government.
Meson electro-/photo-production from QCD
Briceno, Raul A.
2016-07-02
I present the calculation of themore » $$\\pi^+\\gamma^\\star\\to\\pi^+\\pi^0$$ transition amplitude from quantum chromodynamics performed by the Hadron Spectrum Collaboration. The amplitude is determined for a range of values of the photon virtuality and the final state energy. One observes a clear dynamical enhancement due to the presence of the $$\\rho$$ resonance. By fitting the transition amplitude and analytically continuing it onto the $$\\rho$$-pole, the $$\\rho\\to\\pi\\gamma^\\star$$ form factor is obtained. This exploratory calculation, performed using lattice quantum chromodynamics, constitutes the very first determination of an electroweak decay of a hadronic resonance directly from the fundamental theory of quarks and gluons. In this talk, I highlight some of the necessary steps that made this calculation possible, placing emphasis on recently developed formalism. In conclusion, I discuss the status and outlook of the field for the study of $$N\\gamma^\\star\\to N^\\star\\to N\\pi$$ transitions.« less
Reports of violence against women in different life cycles
Leite, Maísa Tavares de Souza; Figueiredo, Maria Fernanda Santos; Dias, Orlene Veloso; Vieira, Maria Aparecida; Souza e Souza, Luís Paulo; Mendes, Danilo Cangussu
2014-01-01
Objective to analyze the reports and factors associated with violence against women. Method this was a cross-sectional, exploratory and analytical study with information about the cases of reported violence, extracted from the Civil Police Report Bulletin, in a mid-sized city in Minas Gerais, Brazil. Results out of the 7,487 reports of violence against women, it was found that 44.6% of the cases were threats, 28.5% aggression, 25.1% bodily injury, 1.1% rape, and 0.7% some other type of injury. In the bivariate analysis, a higher number of cases (p=0.000) committed by partners was evidenced, for all kinds of violence except for rape. Children, adolescents and adults experienced violence by partners, followed by family members. Regarding older women, violence was committed by family members. Conclusion there is the need for programs to be established to prevent violence against women in various sectors of society, permeating the life cycle. PMID:24553707
Coping with Multiple Innovations in Schools: An Exploratory Study.
ERIC Educational Resources Information Center
Wallace, Mike
1991-01-01
Reviews small-scale, exploratory research into British schools' management of concurrent educational reform innovations generated by government, local education authorities, and the schools themselves. Describes changing innovations patterns, key factors influencing their adoption and implementation, the central management strategies employed, and…
Feng, Yongjiu; Tong, Xiaohua
2017-09-22
Defining transition rules is an important issue in cellular automaton (CA)-based land use modeling because these models incorporate highly correlated driving factors. Multicollinearity among correlated driving factors may produce negative effects that must be eliminated from the modeling. Using exploratory regression under pre-defined criteria, we identified all possible combinations of factors from the candidate factors affecting land use change. Three combinations that incorporate five driving factors meeting pre-defined criteria were assessed. With the selected combinations of factors, three logistic regression-based CA models were built to simulate dynamic land use change in Shanghai, China, from 2000 to 2015. For comparative purposes, a CA model with all candidate factors was also applied to simulate the land use change. Simulations using three CA models with multicollinearity eliminated performed better (with accuracy improvements about 3.6%) than the model incorporating all candidate factors. Our results showed that not all candidate factors are necessary for accurate CA modeling and the simulations were not sensitive to changes in statistically non-significant driving factors. We conclude that exploratory regression is an effective method to search for the optimal combinations of driving factors, leading to better land use change models that are devoid of multicollinearity. We suggest identification of dominant factors and elimination of multicollinearity before building land change models, making it possible to simulate more realistic outcomes.
Danelon, Mariana Schievano; Salay, Elisabete
2012-12-01
The importance of the number of meals taken away-from-home represents an opportunity to promote consumption of vegetables in this context. However, the perception of risk may interfere with the food consumption behavior. The objective of this research was to develop a scale to measure consumer perception of the risks involved in consuming raw vegetable salad in full-service restaurants. The following research steps were carried out: item elaboration; content validity; scale purification (item-total correlation, internal consistency and exploratory factor analysis); and construct validity (confirmatory factor analysis). Non-probabilistic samples of consumers were interviewed (a total of 672 individuals) in the city of Campinas, Brazil. Several analyses were carried out using the Predictive Analytics Software 18.0 and LISREL 8.80. The final scale contained 26 items with an adequate content validity index (0.97) and Cronbach's alpha coefficient (0.93). The confirmatory factor analysis validates a six risk type factor model: physical, psychological, social, time, financial and performance (chi-square/degrees of freedom=2.29, root mean square error of approximation - RMSEA=0.060 and comparative fit index - CFI=0.98). The scale developed presented satisfactory reliability and validity results and could therefore be employed in further studies. Copyright © 2012 Elsevier Ltd. All rights reserved.
Saura, Jose Ramon; Palos-Sanchez, Pedro; Rios Martin, Miguel Angel
2018-03-19
The object of this exploratory study is to identify the positive, neutral and negative environment factors that affect users who visit Spanish hotels in order to help the hotel managers decide how to improve the quality of the services provided. To carry out the research a Sentiment Analysis was initially performed, grouping the sample of tweets ( n = 14459) according to the feelings shown and then a textual analysis was used to identify the key environment factors in these feelings using the qualitative analysis software Nvivo (QSR International, Melbourne, Australia). The results of the exploratory study present the key environment factors that affect the users experience when visiting hotels in Spain, such as actions that support local traditions and products, the maintenance of rural areas respecting the local environment and nature, or respecting air quality in the areas where hotels have facilities and offer services. The conclusions of the research can help hotels improve their services and the impact on the environment, as well as improving the visitors experience based on the positive, neutral and negative environment factors which the visitors themselves identified.
2018-01-01
The object of this exploratory study is to identify the positive, neutral and negative environment factors that affect users who visit Spanish hotels in order to help the hotel managers decide how to improve the quality of the services provided. To carry out the research a Sentiment Analysis was initially performed, grouping the sample of tweets (n = 14459) according to the feelings shown and then a textual analysis was used to identify the key environment factors in these feelings using the qualitative analysis software Nvivo (QSR International, Melbourne, Australia). The results of the exploratory study present the key environment factors that affect the users experience when visiting hotels in Spain, such as actions that support local traditions and products, the maintenance of rural areas respecting the local environment and nature, or respecting air quality in the areas where hotels have facilities and offer services. The conclusions of the research can help hotels improve their services and the impact on the environment, as well as improving the visitors experience based on the positive, neutral and negative environment factors which the visitors themselves identified. PMID:29562724
Exploratory factor analysis of borderline personality disorder criteria in hospitalized adolescents.
Becker, Daniel F; McGlashan, Thomas H; Grilo, Carlos M
2006-01-01
The authors examined the factor structure of borderline personality disorder (BPD) in hospitalized adolescents and also sought to add to the theoretical and clinical understanding of any homogeneous components by determining whether they may be related to specific forms of Axis I pathology. Subjects were 123 adolescent inpatients, who were reliably assessed with structured diagnostic interviews for Diagnostic and Statistical Manual of Mental Disorders, Revised Third Edition Axes I and II disorders. Exploratory factor analysis identified BPD components, and logistic regression analyses tested whether these components were predictive of specific Axis I disorders. Factor analysis revealed a 4-factor solution that accounted for 67.0% of the variance. Factor 1 ("suicidal threats or gestures" and "emptiness or boredom") predicted depressive disorders and alcohol use disorders. Factor 2 ("affective instability," "uncontrolled anger," and "identity disturbance") predicted anxiety disorders and oppositional defiant disorder. Factor 3 ("unstable relationships" and "abandonment fears") predicted only anxiety disorders. Factor 4 ("impulsiveness" and "identity disturbance") predicted conduct disorder and substance use disorders. Exploratory factor analysis of BPD criteria in adolescent inpatients revealed 4 BPD factors that appear to differ from those reported for similar studies of adults. The factors represent components of self-negation, irritability, poorly modulated relationships, and impulsivity--each of which is associated with characteristic Axis I pathology. These findings shed light on the nature of BPD in adolescents and may also have implications for treatment.
Chou, Ann F; Graber, Christopher J; Zhang, Yue; Jones, Makoto; Goetz, Matthew Bidwell; Madaras-Kelly, Karl; Samore, Matthew; Glassman, Peter A
2018-06-04
Inappropriate antibiotic use poses a serious threat to patient safety. Antimicrobial stewardship programmes (ASPs) may optimize antimicrobial use and improve patient outcomes, but their implementation remains an organizational challenge. Using the Promoting Action on Research Implementation in Health Services (PARiHS) framework, this study aimed to identify organizational factors that may facilitate ASP design, development and implementation. Among 130 Veterans Affairs facilities that offered acute care, we classified organizational variables supporting antimicrobial stewardship activities into three PARiHS domains: evidence to encompass sources of knowledge; contexts to translate evidence into practice; and facilitation to enhance the implementation process. We conducted a series of exploratory factor analyses to identify conceptually linked factor scales. Cronbach's alphas were calculated. Variables with large uniqueness values were left as single factors. We identified 32 factors, including six constructs derived from factor analyses under the three PARiHS domains. In the evidence domain, four factors described guidelines and clinical pathways. The context domain was broken into three main categories: (i) receptive context (15 factors describing resources, affiliations/networks, formalized policies/practices, decision-making, receptiveness to change); (ii) team functioning (1 factor); and (iii) evaluation/feedback (5 factors). Within facilitation, two factors described facilitator roles and tasks and five captured skills and training. We mapped survey data onto PARiHS domains to identify factors that may be adapted to facilitate ASP uptake. Our model encompasses mostly mutable factors whose relationships with performance outcomes may be explored to optimize antimicrobial use. Our framework also provides an analytical model for determining whether leveraging existing organizational processes can potentially optimize ASP performance.
Yu, Tzu-Chieh; Jowsey, Tanisha; Henning, Marcus
2018-04-18
The Readiness for Interprofessional Learning Scale (RIPLS) was developed to assess undergraduate readiness for engaging in interprofessional education (IPE). It has become an accepted and commonly used instrument. To determine utility of a modified 16-item RIPLS instrument, exploratory and confirmatory factor analyses were performed. Data used were collected from a pre- and post-intervention study involving 360 New Zealand undergraduate students from one university. Just over half of the participants were enrolled in medicine (51%) while the remainder were in pharmacy (27%) and nursing (22%). The intervention was a two-day simulation-based IPE course focused on managing unplanned acute medical problems in hospital wards ("ward calls"). Immediately prior to the course, 288 RIPLS were collected and immediately afterwards, 322 (response rates 80% and 89%, respectively). Exploratory factor analysis involving principal axis factoring with an oblique rotation method was conducted using pre-course data. The scree plot suggested a three-factor solution over two- and four-factor solutions. Subsequent confirmatory factor analysis performed using post-course data demonstrated partial goodness-of-fit for this suggested three-factor model. Based on these findings, further robust psychometric testing of the RIPLS or modified versions of it is recommended before embarking on its use in evaluative research in various healthcare education settings.
Smith, Richard J; Lehning, Amanda J; Dunkle, Ruth E
2013-01-01
Accurate conceptualization and measurement of age-friendly community characteristics would help to reduce barriers to documenting the effects on elders of interventions to create such communities. This article contributes to the measurement of age-friendly communities through an exploratory factor analysis of items reflecting an existing US Environmental Protection Agency policy framework. From a sample of urban elders (n = 1,376), we identified 6 factors associated with demographic and health characteristics: access to business and leisure, social interaction, access to health care, neighborhood problems, social support, and community engagement. Future research should explore the effects of these factors across contexts and populations.
Prison Radicalization: The New Extremist Training Grounds?
2007-09-01
distributing and collecting survey data , and the data analysis. The analytical methodology includes descriptive and inferential statistical methods, in... statistical analysis of the responses to identify significant correlations and relationships. B. SURVEY DATA COLLECTION To effectively access a...Q18, Q19, Q20, and Q21. Due to the exploratory nature of this small survey, data analyses were confined mostly to descriptive statistics and
Giesbrecht, Chantelle J; O'Rourke, Norm; Leonova, Olga; Strehlau, Verena; Paquet, Karine; Vila-Rodriguez, Fidel; Panenka, William J; MacEwan, G William; Smith, Geoffrey N; Thornton, Allen E; Honer, William G
2016-01-01
Rates of psychopathology are elevated in marginalized and unstably housed persons, underscoring the need for applicable clinical measures for these populations. The Positive and Negative Syndrome Scale (PANSS) is a clinical instrument principally developed for use in schizophrenia to identify the presence and severity of psychopathology symptoms. The current study investigates whether a reliable and valid PANSS factor structure emerges in a marginally housed, heterogeneous sample recruited from the Downtown Eastside of Vancouver where substance use disorders and psychiatric illness are pervasive. Participants (n = 270) underwent structured clinical assessments including the PANSS and then were randomly assigned to either exploratory (EFA) or confirmatory factor analytic (CFA) subsamples. EFA pointed to a novel three factor PANSS. This solution was supported by CFA. All retained items (28 out of 30) load significantly upon hypothesized factors and model goodness of fit analyses are in the acceptable to good range. Each of the three first-order factor constructs, labeled Psychosis/Disorganized, Negative Symptoms/Hostility, and Insight/Awareness, contributed significantly to measurement of a higher-order psychopathology construct. Further, the latent structure of this 3-factor solution appears temporally consistent over one-year. This PANSS factor structure appears valid and reliable for use in persons with multimorbidity, including substance use disorders. The structure is somewhat distinct from existing solutions likely due to the unique characteristics of this marginally housed sample.
Giesbrecht, Chantelle J.; O’Rourke, Norm; Leonova, Olga; Strehlau, Verena; Paquet, Karine; Vila-Rodriguez, Fidel; Panenka, William J.; MacEwan, G. William; Smith, Geoffrey N.; Thornton, Allen E.; Honer, William G.
2016-01-01
Rates of psychopathology are elevated in marginalized and unstably housed persons, underscoring the need for applicable clinical measures for these populations. The Positive and Negative Syndrome Scale (PANSS) is a clinical instrument principally developed for use in schizophrenia to identify the presence and severity of psychopathology symptoms. The current study investigates whether a reliable and valid PANSS factor structure emerges in a marginally housed, heterogeneous sample recruited from the Downtown Eastside of Vancouver where substance use disorders and psychiatric illness are pervasive. Participants (n = 270) underwent structured clinical assessments including the PANSS and then were randomly assigned to either exploratory (EFA) or confirmatory factor analytic (CFA) subsamples. EFA pointed to a novel three factor PANSS. This solution was supported by CFA. All retained items (28 out of 30) load significantly upon hypothesized factors and model goodness of fit analyses are in the acceptable to good range. Each of the three first-order factor constructs, labeled Psychosis/Disorganized, Negative Symptoms/Hostility, and Insight/Awareness, contributed significantly to measurement of a higher-order psychopathology construct. Further, the latent structure of this 3-factor solution appears temporally consistent over one-year. This PANSS factor structure appears valid and reliable for use in persons with multimorbidity, including substance use disorders. The structure is somewhat distinct from existing solutions likely due to the unique characteristics of this marginally housed sample. PMID:26999280
Bagnasco, Lucia; Cosulich, M Elisabetta; Speranza, Giovanna; Medini, Luca; Oliveri, Paolo; Lanteri, Silvia
2014-08-15
The relationships between sensory attribute and analytical measurements, performed by electronic tongue (ET) and near-infrared spectroscopy (NIRS), were investigated in order to develop a rapid method for the assessment of umami taste. Commercially available umami products and some aminoacids were submitted to sensory analysis. Results were analysed in comparison with the outcomes of analytical measurements. Multivariate exploratory analysis was performed by principal component analysis (PCA). Calibration models for prediction of the umami taste on the basis of ET and NIR signals were obtained using partial least squares (PLS) regression. Different approaches for merging data from the two different analytical instruments were considered. Both of the techniques demonstrated to provide information related with umami taste. In particular, ET signals showed the higher correlation with umami attribute. Data fusion was found to be slightly beneficial - not so significantly as to justify the coupled use of the two analytical techniques. Copyright © 2014 Elsevier Ltd. All rights reserved.
An Exploratory Study of Student Satisfaction with University Web Page Design
ERIC Educational Resources Information Center
Gundersen, David E.; Ballenger, Joe K.; Crocker, Robert M.; Scifres, Elton L.; Strader, Robert
2013-01-01
This exploratory study evaluates the satisfaction of students with a web-based information system at a medium-sized regional university. The analysis provides a process for simplifying data interpretation in captured student user feedback. Findings indicate that student classifications, as measured by demographic and other factors, determine…
Exploratory Trial of a School-Based Alcohol Prevention Intervention with a Family Component
ERIC Educational Resources Information Center
Segrott, Jeremy; Rothwell, Heather; Pignatelli, Ilaria; Playle, Rebecca; Hewitt, Gillian; Huang, Chao; Murphy, Simon; Hickman, Matthew; Reed, Hayley; Moore, Laurence
2016-01-01
Purpose: Involvement of parents/carers may increase effectiveness of primary school-based alcohol-misuse prevention projects through strengthening family-based protective factors, but rates of parental engagement are typically low. This paper reports findings from an exploratory trial of a school-based prevention intervention--Kids, Adults…
Selective Mutism Questionnaire: measurement structure and validity.
Letamendi, Andrea M; Chavira, Denise A; Hitchcock, Carla A; Roesch, Scott C; Shipon-Blum, Elisa; Stein, Murray B
2008-10-01
To evaluate the factor structure, reliability, and validity of the 17-item Selective Mutism Questionnaire (SMQ). Diagnostic interviews were administered via telephone to 102 parents of children identified with selective mutism (SM) and 43 parents of children without SM from varying U.S. geographic regions. Children were between the ages of 3 and 11 inclusive and comprised 58% girls and 42% boys. SM diagnoses were determined using the Anxiety Disorders Interview Schedule for Children-Parent Version; SM severity was assessed using the 17-item SMQ; and behavioral and affective symptoms were assessed using the Child Behavior Checklist. An exploratory factor analysis was conducted to investigate the dimensionality of the SMQ and a modified parallel analysis procedure was used to confirm exploratory factor analysis results. Internal consistency, construct validity, and incremental validity were also examined. The exploratory factor analysis yielded a 13-item solution consisting of three factors: social situations outside of school, school situations, and home and family situations. Internal consistency of SMQ factors and total scale ranged from moderate to high. Convergent and incremental validity was also well supported. Measure structure findings are consistent with the three-factor solution found in a previous psychometric evaluation of the SMQ. Results also suggest that the SMQ provides useful and unique information in the prediction of SM phenomena beyond other child anxiety measures.
Factor analysis of an instrument to measure the impact of disease on daily life.
Pedrosa, Rafaela Batista Dos Santos; Rodrigues, Roberta Cunha Matheus; Padilha, Kátia Melissa; Gallani, Maria Cecília Bueno Jayme; Alexandre, Neusa Maria Costa
2016-01-01
to verify the structure of factors of an instrument to measure the Heart Valve Disease Impact on Daily Life (IDCV) when applied to coronary artery disease patients. the study included 153 coronary artery disease patients undergoing outpatient follow-up care. The IDCV structure of factors was initially assessed by means of confirmatory factor analysis and, subsequently, by exploratory factor analysis. The Varimax rotation method was used to estimate the main components of analysis, eigenvalues greater than one for extraction of factors, and factor loading greater than 0.40 for selection of items. Internal consistency was estimated using Cronbach's alpha coefficient. confirmatory factor analysis did not confirm the original structure of factors of the IDCV. Exploratory factor analysis showed three dimensions, which together explained 78% of the measurement variance. future studies with expansion of case selection are necessary to confirm the IDCV new structure of factors.
2018-01-01
Background To further understand the relationship between anxiety and depression, this study examined the factor structure of the combined items from two validated measures for anxiety and depression. Methods The participants were 406 patients with mixed psychiatric diagnoses including anxiety and depressive disorders from a psychiatric outpatient unit at a university-affiliated medical center. Responses of the Beck Anxiety Inventory (BAI), Beck Depression Inventory (BDI)-II, and Symptom Checklist-90-Revised (SCL-90-R) were analyzed. We conducted an exploratory factor analysis of 42 items from the BAI and BDI-II. Correlational analyses were performed between subscale scores of the SCL-90-R and factors derived from the factor analysis. Scores of individual items of the BAI and BDI-II were also compared between groups of anxiety disorder (n = 185) and depressive disorder (n = 123). Results Exploratory factor analysis revealed the following five factors explaining 56.2% of the total variance: somatic anxiety (factor 1), cognitive depression (factor 2), somatic depression (factor 3), subjective anxiety (factor 4), and autonomic anxiety (factor 5). The depression group had significantly higher scores for 12 items on the BDI while the anxiety group demonstrated higher scores for six items on the BAI. Conclusion Our results suggest that anxiety and depressive symptoms as measured by the BAI and BDI-II can be empirically differentiated and that particularly items of the cognitive domain in depression and those of physical domain in anxiety are noteworthy. PMID:29651821
Kaltenthaler, Eva; Carroll, Christopher; Hill-McManus, Daniel; Scope, Alison; Holmes, Michael; Rice, Stephen; Rose, Micah; Tappenden, Paul; Woolacott, Nerys
2017-06-01
Evidence Review Groups (ERGs) critically appraise company submissions as part of the National Institute for Health and Care Excellence (NICE) Single Technology Appraisal (STA) process. As part of their critique of the evidence submitted by companies, the ERGs undertake exploratory analyses to explore uncertainties in the company's model. The aim of this study was to explore pre-defined factors that might influence or predict the extent of ERG exploratory analyses. The aim of this study was to explore predefined factors that might influence or predict the extent of ERG exploratory analyses. We undertook content analysis of over 400 documents, including ERG reports and related documentation for the 100 most recent STAs (2009-2014) for which guidance has been published. Relevant data were extracted from the documents and narrative synthesis was used to summarise the extracted data. All data were extracted and checked by two researchers. Forty different companies submitted documents as part of the NICE STA process. The most common disease area covered by the STAs was cancer (44%), and most ERG reports (n = 93) contained at least one exploratory analysis. The incidence and frequency of ERG exploratory analyses does not appear to be related to any developments in the appraisal process, the disease area covered by the STA, or the company's base-case incremental cost-effectiveness ratio (ICER). However, there does appear to be a pattern in the mean number of analyses conducted by particular ERGs, but the reasons for this are unclear and potentially complex. No clear patterns were identified regarding the presence or frequency of exploratory analyses, apart from the mean number conducted by individual ERGs. More research is needed to understand this relationship.
Smith, Richard J.; Lehning, Amanda J.; Dunkle, Ruth E.
2012-01-01
Accurate conceptualization and measurement of age-friendly community characteristics would help to reduce barriers to documenting the effects on elders of interventions to create such communities. This article contributes to the measurement of age-friendly communities through an exploratory factor analysis of items reflecting an existing U.S. Environmental Protection Agency policy framework. From a sample of urban elders (n =1,376), we identified six factors associated with demographic and health characteristics: Access to Business and Leisure, Social Interaction, Access to Health Care, Neighborhood Problems, Social Support, and Community Engagement. Future research should explore the effects of these factors across contexts and populations. PMID:23350565
Scholte, R H; van Aken, M A; van Lieshout, C F
1997-12-01
In this study, the robustness of the Big Five personality factors in adolescents' self-ratings and peer nominations was investigated. Data were obtained on 2,001 adolescents attending secondary school (885 girls; 1,116 boys; M age = 14.5 years). Exploratory and confirmatory factor analyses on the self-ratings confirmed the Big Five personality factors. In contrast, exploratory analysis on the peer nominations revealed five different factors: Aggression-Inattentiveness, Achievement-Withdrawal, Self-Confidence, Sociability, and Emotionality-Nervousness. It is suggested that peers evaluate group members not in terms of their personality but in terms of their group reputation. Peer evaluations contributed substantially to the prediction of peer acceptance and rejection; the Big Five personality factors based on self-ratings did not.
Grilo, C M
2004-01-01
To examine the factor structure of DSM-IV criteria for obsessive compulsive personality disorder (OCPD) in patients with binge eating disorder (BED). Two hundred and eleven consecutive out-patients with axis I diagnoses of BED were reliably assessed with semi-structured diagnostic interviews. The eight criteria for the OCPD diagnosis were examined with reliability and correlational analyses. Exploratory factor analysis was performed to identify potential components. Cronbach's coefficient alpha for the OCPD criteria was 0.77. Principal components factor analysis with varimax rotation revealed a three-factor solution (rigidity, perfectionism, and miserliness), which accounted for 65% of variance. The DSM-IV criteria for OCPD showed good internal consistency. Exploratory factor analysis, however, revealed three components that may reflect distinct interpersonal, intrapersonal (cognitive), and behavioral features.
2014-01-01
Background Previous research has suggested that vitamin D and sunlight are related to cardiovascular outcomes, but associations between sunlight and risk factors have not been investigated. We examined whether increased sunlight exposure was related to improved cardiovascular risk factor status. Methods Residential histories merged with satellite, ground monitor, and model reanalysis data were used to determine previous-year sunlight radiation exposure for 17,773 black and white participants aged 45+ from the US. Exploratory and confirmatory analyses were performed by randomly dividing the sample into halves. Logistic regression models were used to examine relationships with cardiovascular risk factors. Results The lowest, compared to the highest quartile of insolation exposure was associated with lower high-density lipoprotein levels in adjusted exploratory (−2.7 mg/dL [95% confidence interval: −4.2, −1.2]) and confirmatory (−1.5 mg/dL [95% confidence interval: −3.0, −0.1]) models. The lowest, compared to the highest quartile of insolation exposure was associated with higher systolic blood pressure levels in unadjusted exploratory and confirmatory, as well as the adjusted exploratory model (2.3 mmHg [95% confidence interval: 0.8, 3.8]), but not the adjusted confirmatory model (1.6 mg/dL [95% confidence interval: −0.5, 3.7]). Conclusions The results of this study suggest that lower long-term sunlight exposure has an association with lower high-density lipoprotein levels. However, all associations were weak, thus it is not known if insolation may affect cardiovascular outcomes through these risk factors. PMID:24946776
Research to Conduct an Exploratory Experimental and Analytical Investigation of Alloys
1980-11-01
Properties of Forged and Heat 31 Treated Alpha-Two Titanium Aluminide Alloys 10 Effect of Interstitial Elements on Room 33 Temperature Notched (Kt-3.9...percent (three to five percent of engine weight) would be achieved with widespread application of the titanium aluminides in rotating hardwarei...vanadium substitution effect was also undertaken. One of the inconsistencies in the previous titanium aluminide investigations has been the poorer
ERIC Educational Resources Information Center
Kamerman, Sheila B., Ed.; Kahn, Alfred J., Ed.
"Confronting the New Politics of Child and Family Policy in the United States" is an 18-month project designed to help states, local government, and the voluntary sector as they respond to the social policy debates and changes precipitated by the 104th Congress. The project's main vehicle, aside from exploratory and analytic work, is a…
ERIC Educational Resources Information Center
Kamerman, Sheila B., Ed.; Kahn, Alfred J., Ed.
"Confronting the New Politics of Child and Family Policy in the United States" is an 18-month project designed to help states, local governments, and the voluntary sector as they respond to the social policy debates and changes precipitated by the 104th Congress. The project's main vehicle, aside from exploratory and analytic work, is a…
Internet addiction and sleep quality among Vietnamese youths.
Zhang, Melvyn W B; Tran, Bach Xuan; Huong, Le Thi; Hinh, Nguyen Duc; Nguyen, Huong Lan Thi; Tho, Tran Dinh; Latkin, Carl; Ho, Roger C M
2017-08-01
Internet addiction has been a major behavioral disorder over the past decade. Prior meta-analytic review has demonstrated the association between Internet addiction and psychiatric disorders, as well as sleep related disorders. There remains a paucity of literature about Internet addiction and sleep related disorders in low and middle income countries like Vietnam. It is the aim of this exploratory study to determine the association. An online cross-sectional study was conducted between August through to October 2015. Respondent drive sampling technique was utilized in the recruitment of participants. The short form version of the Young's Internet addiction test was administered and sleep related disorders was ascertained by means of a self-report questionnaire. Chi-squared, t-test and ANOVA were used to determine whether there were any significant differences amongst the variables considered. Multivariate logistic regressions were also used in the analysis, in order to identify factors associated with Internet addiction. 21.2% Of the participants were diagnosed with Internet addiction. 26.7% of those with Internet addiction also reported that they have had sleep related difficulties. 77.2% of these participants were receptive towards seeking medical treatment. Our current study also highlighted that being single and those who were using tobacco products were not at heightened risk of developing associated sleep related issues. Our current study is largely a cross-sectional exploratory study that has shown that there is a significant prevalence of both Internet addiction and sleep related disorders amongst Vietnamese youth. Copyright © 2017 Elsevier B.V. All rights reserved.
Quantifying exploratory low dose compounds in humans with AMS
Dueker, Stephen R.; Vuong, Le T.; Lohstroh, Peter N.; Giacomo, Jason A.; Vogel, John S.
2010-01-01
Accelerator Mass Spectrometry is an established technology whose essentiality extends beyond simply a better detector for radiolabeled molecules. Attomole sensitivity reduces radioisotope exposures in clinical subjects to the point that no population need be excluded from clinical study. Insights in human physiochemistry are enabled by the quantitative recovery of simplified AMS processes that provide biological concentrations of all labeled metabolites and total compound related material at non-saturating levels. In this paper, we review some of the exploratory applications of AMS 14C in toxicological, nutritional, and pharmacological research. This body of research addresses the human physiochemistry of important compounds in their own right, but also serves as examples of the analytical methods and clinical practices that are available for studying low dose physiochemistry of candidate therapeutic compounds, helping to broaden the knowledge base of AMS application in pharmaceutical research. PMID:21047543
Bai, Mei; Dixon, Jane K
2014-01-01
The purpose of this study was to reexamine the factor pattern of the 12-item Functional Assessment of Chronic Illness Therapy-Spiritual Well-Being Scale (FACIT-Sp-12) using exploratory factor analysis in people newly diagnosed with advanced cancer. Principal components analysis (PCA) and 3 common factor analysis methods were used to explore the factor pattern of the FACIT-Sp-12. Factorial validity was assessed in association with quality of life (QOL). Principal factor analysis (PFA), iterative PFA, and maximum likelihood suggested retrieving 3 factors: Peace, Meaning, and Faith. Both Peace and Meaning positively related to QOL, whereas only Peace uniquely contributed to QOL. This study supported the 3-factor model of the FACIT-Sp-12. Suggestions for revision of items and further validation of the identified factor pattern were provided.
ERIC Educational Resources Information Center
Utley, Cheryl A.
2011-01-01
An exploratory factorial analysis of the Multicultural and Special Education Survey (MSES) evaluated the professional development training needs of general and special educators in a midwestern state. Survey items were selected from the culturally and linguistically diverse multicultural, bilingual and special education literature bases (CLD). The…
Application of Exploratory Structural Equation Modeling to Evaluate the Academic Motivation Scale
ERIC Educational Resources Information Center
Guay, Frédéric; Morin, Alexandre J. S.; Litalien, David; Valois, Pierre; Vallerand, Robert J.
2015-01-01
In this research, the authors examined the construct validity of scores of the Academic Motivation Scale using exploratory structural equation modeling. Study 1 and Study 2 involved 1,416 college students and 4,498 high school students, respectively. First, results of both studies indicated that the factor structure tested with exploratory…
ERIC Educational Resources Information Center
Reyes, Vicente Chua, Jr.; Rizk, Nadya; Gregory, Sue; Doyle, Helen
2016-01-01
Four distinct constructs were identified from a survey of a sample of pre-service science teachers at a regional Australian University. The constructs emerged after employing Exploratory Factor Analysis (EFA) on respondents' perceptions of pedagogical practices incorporating the use of Information Communication and Technology (ICT). The key…
ERIC Educational Resources Information Center
Kavas, Aysel; Kavas, Alican
2008-01-01
The findings of an exploratory survey related to students' perceptions of factors, including accent and pronunciation, influencing their learning were presented. Data were collected from students through a self-administered questionnaire at one Southeastern University. A big majority (82.4%) of the respondents indicated that instructors'…
An Exploratory Study of Problem Gambling on Casino versus Non-Casino Electronic Gaming Machines
ERIC Educational Resources Information Center
Clarke, Dave; Pulford, Justin; Bellringer, Maria; Abbott, Max; Hodgins, David C.
2012-01-01
Electronic gaming machines (EGMs) have been frequently associated with problem gambling. Little research has compared the relative contribution of casino EGMs versus non-casino EGMs on current problem gambling, after controlling for demographic factors and gambling behaviour. Our exploratory study obtained data from questionnaires administered to…
Exploratory and Confirmatory Analysis of the Trauma Practices Questionnaire
ERIC Educational Resources Information Center
Craig, Carlton D.; Sprang, Ginny
2009-01-01
Objective: The present study provides psychometric data for the Trauma Practices Questionnaire (TPQ). Method: A nationally randomized sample of 2,400 surveys was sent to self-identified trauma treatment specialists, and 711 (29.6%) were returned. Results: An exploratory factor analysis (N = 319) conducted on a randomly split sample (RSS) revealed…
What Do We Know about the Atypical Development of Exploratory Actions during Infancy?
ERIC Educational Resources Information Center
de Campos, Ana Carolina; Savelsbergh, Geert J. P.; Rocha, Nelci Adriana Cicuto Ferreira
2012-01-01
Recent theoretical approaches to infant development have highlighted the importance of exploratory actions to motor, perceptual and cognitive development in infancy. However, the performance of infants exposed to risk factors when exploring objects has been frequently overlooked as a variable of interest. The aim of this study was to review…
Choi, BongKyoo; Kawakami, Norito; Chang, SeiJin; Koh, SangBaek; Bjorner, Jakob; Punnett, Laura; Karasek, Robert
2008-01-01
The five-item psychological demands scale of the Job Content Questionnaire (JCQ) has been assumed to be one-dimensional in practice. To examine whether the scale has sufficient internal consistency and external validity to be treated as a single scale, using the cross-national JCQ datasets from the United States, Korea, and Japan. Exploratory factor analyses with 22 JCQ items, confirmatory factor analyses with the five psychological demands items, and correlations analyses with mental health indexes. Generally, exploratory factor analyses displayed the predicted demand/control/support structure with three and four factors extracted. However, at more detailed levels of exploratory and confirmatory factor analyses, the demands scale showed clear evidence of multi-factor structure. The correlations of items and subscales of the demands scale with mental health indexes were similar to those of the full scale in the Korean and Japanese datasets, but not in the U.S. data. In 4 out of 16 sub-samples of the U.S. data, several significant correlations of the components of the demands scale with job dissatisfaction and life dissatisfaction were obscured by the full scale. The multidimensionality of the psychological demands scale should be considered in psychometric analysis and interpretation, occupational epidemiologic studies, and future scale extension.
Perry, Justin C; Vance, Kristen S; Helms, Janet E
2009-04-01
In this study, an exploratory factor analysis of the People of Color Racial Identity Attitude Scale (PRIAS; Helms, 1995b) among a sample of Asian American college students (N = 225) was conducted. The factorial structure that emerged revealed mixed results in terms of consistency with the People of Color (POC) theory (Helms, 1995a). The measure's construct validity for Asian Americans may be improved through further scale development and revision. Directions for future research on the PRIAS are discussed. (c) 2009 APA, all rights reserved.
ERIC Educational Resources Information Center
Walsh, Kerryann; Rassafiani, Mehdi; Mathews, Ben; Farrell, Ann; Butler, Des
2012-01-01
This paper presents an evaluation of an instrument to measure teachers' attitudes toward reporting child sexual abuse and discusses the instrument's merit for research into reporting practice. Based on responses from 444 Australian teachers, the Teachers' Reporting Attitude Scale for Child Sexual Abuse was evaluated using exploratory factor…
ERIC Educational Resources Information Center
Taylor, Kelli W.; Kliewer, Wendy
2006-01-01
In this short-term longitudinal exploratory interview study, the relations between exposure to community violence and subsequent alcohol use were examined, with a focus on caregiver and family variables as moderators. Maternal caregivers and their children (N = 101 families; 98% African American; M child age = 11.2 yrs) were interviewed separately…
ERIC Educational Resources Information Center
Merwin, Gregory J.
2012-01-01
The purpose of this study was to identify pedagogical and non-pedagogical factors that affect the academic achievement of English Learner (EL) students in the area of language arts at Dr. Albert Schweitzer Elementary School in Anaheim, California. The researcher conducted an exploratory multiple case study to develop a comprehensive, contextual…
Action Research as an Approach to Integrating Sustainability into MBA Programs: An Exploratory Study
ERIC Educational Resources Information Center
Benn, Suzanne; Dunphy, Dexter
2009-01-01
This article reports on an exploratory project that employed an action research approach to integrating sustainability into core subjects in the MBA program at an Australian university. It documents the change methodology used, the theoretical basis for this choice, and the project outcomes. It then identifies some key enabling factors and…
ERIC Educational Resources Information Center
de Campos, Ana Carolina; da Costa, Carolina Souza Neves; Savelsbergh, Geert J. P.; Rocha, Nelci Adriana Cicuto Ferreira
2013-01-01
During infant development, objects and their functions are learned by means of active exploration. Factors that may influence exploration include reaching and grasping ability, object properties and the presence of developmental disorders. We assessed the development of exploratory actions in 16 typically-developing (TD) infants and 9 infants with…
Exploratory Visual Analytics of a Dynamically Built Network of Nodes in a WebGL-Enabled Browser
2014-01-01
dimensionality reduction, feature extraction, high-dimensional data, t-distributed stochastic neighbor embedding, neighbor retrieval visualizer, visual...WebGL-enabled rendering is supported natively by browsers such as the latest Mozilla Firefox , Google Chrome, and Microsoft Internet Explorer 11. At the...appropriate names. The resultant 26-node network is displayed in a Mozilla Firefox browser in figure 2 (also see appendix B). 3 Figure 1. The
ERIC Educational Resources Information Center
Arnold, Kimberly E.
2017-01-01
In the 21st century, attainment of a college degree is more important than ever to achieve economic self-sufficiency, employment, and an adequate standard of living. Projections suggest that by 2020, 65% of jobs available in the U.S. will require postsecondary education. This reality creates an unprecedented demand for higher education, and…
NASA Astrophysics Data System (ADS)
Carter, Frances D.
2011-12-01
Low participation and performance in science, technology, engineering, and mathematics (STEM) fields by U.S. citizens are widely recognized as major problems with substantial economic, political, and social ramifications. Studies of collegiate interventions designed to broaden participation in STEM fields suggest that participation in undergraduate research is a key program component that enhances such student outcomes as undergraduate GPA, graduation, persistence in a STEM major, and graduate school enrollment. However, little is known about the mechanisms that are responsible for these positive effects. The current study hypothesizes that undergraduate research participation increases scientific self-efficacy and scientific research proficiency. This hypothesis was tested using data obtained from a survey of minority students from several STEM intervention programs that offer undergraduate research opportunities. Students were surveyed both prior to and following the summer of 2010. Factor analysis was used to examine the factor structure of participants' responses on scientific self-efficacy and scientific research proficiency scales. Difference-in-difference analysis was then applied to the resulting factor score differences to estimate the relationship of summer research participation with scientific self-efficacy and scientific research proficiency. Factor analytic results replicate and further validate previous findings of a general scientific self-efficacy construct (Schultz, 2008). While the factor analytic results for the exploratory scientific research proficiency scale suggest that it was also a measureable construct, the factor structure was not generalizable over time. Potential reasons for the lack of generalizability validity for the scientific research proficiency scale are explored and recommendations for emerging scales are provided. Recent restructuring attempts within federal science agencies threaten the future of STEM intervention programs. Causal estimates of the effect of undergraduate research participation on specific and measurable benefits can play an important role in ensuring the sustainability of STEM intervention programs. Obtaining such estimates requires additional studies that, inter alia, incorporate adequate sample sizes, valid measurement scales, and the ability to account for unobserved variables. Political strategies, such as compromise, can also play an important role in ensuring the sustainability of STEM intervention programs.
Exploring the Factor Structure of Neurocognitive Measures in Older Individuals
Santos, Nadine Correia; Costa, Patrício Soares; Amorim, Liliana; Moreira, Pedro Silva; Cunha, Pedro; Cotter, Jorge; Sousa, Nuno
2015-01-01
Here we focus on factor analysis from a best practices point of view, by investigating the factor structure of neuropsychological tests and using the results obtained to illustrate on choosing a reasonable solution. The sample (n=1051 individuals) was randomly divided into two groups: one for exploratory factor analysis (EFA) and principal component analysis (PCA), to investigate the number of factors underlying the neurocognitive variables; the second to test the “best fit” model via confirmatory factor analysis (CFA). For the exploratory step, three extraction (maximum likelihood, principal axis factoring and principal components) and two rotation (orthogonal and oblique) methods were used. The analysis methodology allowed exploring how different cognitive/psychological tests correlated/discriminated between dimensions, indicating that to capture latent structures in similar sample sizes and measures, with approximately normal data distribution, reflective models with oblimin rotation might prove the most adequate. PMID:25880732
Brytek-Matera, Anna; Rogoza, Radosław
2015-03-01
In Poland, appropriate means to assess body image are relatively limited. The aim of the study was to evaluate the psychometric properties of the Polish version of the Multidimensional Body-Self Relations Questionnaire (MBSRQ). To do so, a sample of 341 females ranging in age from 18 to 35 years (M = 23.09; SD = 3.14) participated in the present study. Owing to the fact that the confirmatory factor analysis of the original nine-factor model was not well fitted to the data (RMSEA = 0.06; CFI = 0.75) the exploratory approach was employed. Based on parallel analysis and minimum average partial an eight-factor structure of the Polish version of the MBSRQ was distinguished. Exploratory factor analysis revealed a factorial structure similar to the original version. The proposed model was tested using an exploratory structural equation modelling approach which resulted in good fit (RMSEA = 0.04; CFI = 0.91). In the present study, the internal reliability assessed by McDonald's ω coefficient amounts from 0.66 to 0.91. In conclusion, the Polish version of the MBSRQ is a useful measure for the attitudinal component of body image assessment.
Technical analysis of the Slosson Written Expression Test.
Erford, Bradley T; Hofler, Donald B
2004-06-01
The Slosson Written Expression Test was designed to assess students ages 8-17 years at risk for difficulties in written expression. Scores from three independent samples were used to evaluate the test's reliability and validity for measuring students' written expression. Test-retest reliability of the SWET subscales ranged from .80 to .94 (n = 151), and .95 for the Written Expression Total Standard Scores. The median alternate-form reliability for students' Written Expression Total Standard Scores was .81 across the three forms. Scores on the Slosson test yielded concurrent validity coefficients (n = 143) of .60 with scores from the Woodcock-Johnson: Tests of Achievement-Third Edition Broad Written Language Domain and .49 with scores on the Test of Written Language-Third Edition Spontaneous Writing Quotient. Exploratory factor analytic procedures suggested the Slosson test is comprised of two dimensions, Writing Mechanics and Writing Maturity (47.1% and 20.1% variance accounted for, respectively). In general, the Slosson Written Expression Test presents with sufficient technical characteristics to be considered a useful written expression screening test.
Exploratory studies into seasonal flow forecasting potential for large lakes
NASA Astrophysics Data System (ADS)
Sene, Kevin; Tych, Wlodek; Beven, Keith
2018-01-01
In seasonal flow forecasting applications, one factor which can help predictability is a significant hydrological response time between rainfall and flows. On account of storage influences, large lakes therefore provide a useful test case although, due to the spatial scales involved, there are a number of modelling challenges related to data availability and understanding the individual components in the water balance. Here some possible model structures are investigated using a range of stochastic regression and transfer function techniques with additional insights gained from simple analytical approximations. The methods were evaluated using records for two of the largest lakes in the world - Lake Malawi and Lake Victoria - with forecast skill demonstrated several months ahead using water balance models formulated in terms of net inflows. In both cases slight improvements were obtained for lead times up to 4-5 months from including climate indices in the data assimilation component. The paper concludes with a discussion of the relevance of the results to operational flow forecasting systems for other large lakes.
Exploratory factor analysis of the functional movement screen in elite athletes.
Li, Yongming; Wang, Xiong; Chen, Xiaoping; Dai, Boyi
2015-01-01
The functional movement screen is developed to examine individuals' movement patterns through 7 functional tasks. The purpose of this study was to identify the internal consistency and factor structure of the 7 tasks of the functional movement screen in elite athletes; 290 elite athletes from a variety of Chinese national teams were assessed using the functional movement screen. Cronbach's alpha was calculated for the scores of the 7 tasks. Exploratory factor analysis was performed to explore the factor structure of the functional movement screen. The mean and standard deviation of the sum score were 15.2 ± 3.0. A low Cronbach's alpha (0.58) was found for the scores of the 7 tasks. Exploratory factor analysis extracted 2 factors with eigenvalues greater than 1, and these 2 factors explained 47.3% of the total variance. The first factor had a high loading on the rotatory stability (loading = 0.99) and low loadings on the other 6 tasks (loading range: 0.04-0.34). The second factor had high loadings on the deep squat, hurdle step and inline lunge (loading range: 0.46-0.61) and low loadings on the other 3 tasks (loading range: 0.12-0.32). The 7 tasks of the functional movement screen had low internal consistency and were not indicators of a single factor. Evidence for unidimensionality was not found for the functional movement screen in elite athletes. More attention should be paid to the score of each task rather than the sum score when we interpret the functional movement screen scores.
Exploratory Bifactor Analysis of the WJ-III Cognitive in Adulthood via the Schmid-Leiman Procedure
ERIC Educational Resources Information Center
Dombrowski, Stefan C.
2014-01-01
The Woodcock-Johnson-III cognitive in the adult time period (age 20 to 90 plus) was analyzed using exploratory bifactor analysis via the Schmid-Leiman orthogonalization procedure. The results of this study suggested possible overfactoring, a different factor structure from that posited in the Technical Manual and a lack of invariance across both…
ERIC Educational Resources Information Center
Fogarty, Melissa S.; Davis, John L.; Anderson, Leah L.; Myint, Ahmarlay
2017-01-01
This exploratory study investigated the effects of modifying eighth grade students' purposes for reading through a prompt designed to increase engagement with the text. The current study was conducted using a randomized between-subjects design, with a relevance prompt as the between-subjects factor and reader proficiency as a covariate. A sample…
ERIC Educational Resources Information Center
Yates, Lucian, III; Pelphrey, Barry A.; Smith, Patricia A.
2008-01-01
This exploratory phenomenological study was conducted to ascertain which factors caused African American male pre-service teachers to persist at a HBCU [Historically Black Colleges and Universities] in the Mid-South. The work is grounded in the conceptual framework called resiliency. Resiliency asks the question, "How do children,…
ERIC Educational Resources Information Center
Finlinson, H. Ann; Colon, Hector M.; Robles, Rafaela R.; Soto, Mayra
2008-01-01
Research suggests that sexual silence, family loyalty, and homophobia foster health-compromising behaviors among adult Latino gay males, but little is known about the effect of these sociocultural factors on the lives of Latino children and young teens characterized by gender nonconformity and homosexual orientation. This exploratory study of…
Dryahina, Kseniya; Smith, David; Španěl, Patrik
2018-05-15
The major objective of this exploratory study was to implement selected ion flow tube mass spectrometry, SIFT-MS, as a method for the on-line quantification of the volatile organic compounds, VOCs, in the headspace of the ground roasted coffee. The optimal precursor ions and characteristic analyte ions were selected for real-time SIFT-MS quantification of those VOCs that are the most abundant in the headspace or known to contribute to aroma. NO + reagent ion reactions were exploited for most of the VOC analyses. VOC identifications were confirmed using gas chromatography/mass spectrometry, GC/MS, coupled with solid-phase microextraction, SPME. Thirty-one VOCs were quantified, including several alcohols, aldehydes, ketones, carboxylic acids, esters and some heterocyclic compounds. Variations in the concentrations of each VOC in the seven regional coffees were typically less than a factor of 2, yet concentrations patterns characteristic of the different regional coffees were revealed by heat map and principal component analyses. The coefficient of variation in the concentrations across the seven coffees was typically below 24% except for furfural, furan, methylfuran and guaiacol. The SIFT-MS analytical method can be used to quantify in real time the most important odoriferous VOCs in ground coffee headspace to sufficient precision to reveal some differences in concentration patterns for coffee produced in different countries. Copyright © 2018 John Wiley & Sons, Ltd.
2015-11-01
issues and made some of the same distinctions (Walker, Lempert, and Kwakkel ; Bankes, Lempert, and Popper, 2005), but it did appear that we had more than...Statistics,” British Journal of Mathematical Statistics and Pscyhology, 66, pp. 8-38. Jaynes, Edwin T., and G . Larry Bretthorst (ed.) (2003) , Probability...Giroux. Lempert, Robert J., David G . Groves, Steven W. Popper, and Steven C. Bankes (2006), “A General Analytic Method for Generating Robust
2013-11-01
big data with R is relatively new. RHadoop is a mature product from Revolution Analytics that uses R with Hadoop Streaming [15] and provides...agnostic all- data summaries or computations, in which case we use MapReduce directly. 2.3 D&R Software Environment In this work, we use the Hadoop ...job scheduling and tracking, data distribu- tion, system architecture, heterogeneity, and fault-tolerance. Hadoop also provides a distributed key-value
Measuring Workplace Climate in Community Clinics and Health Centers.
Friedberg, Mark W; Rodriguez, Hector P; Martsolf, Grant R; Edelen, Maria O; Vargas Bustamante, Arturo
2016-10-01
The effectiveness of community clinics and health centers' efforts to improve the quality of care might be modified by clinics' workplace climates. Several surveys to measure workplace climate exist, but their relationships to each other and to distinguishable dimensions of workplace climate are unknown. To assess the psychometric properties of a survey instrument combining items from several existing surveys of workplace climate and to generate a shorter instrument for future use. We fielded a 106-item survey, which included items from 9 existing instruments, to all clinicians and staff members (n=781) working in 30 California community clinics and health centers, receiving 628 responses (80% response rate). We performed exploratory factor analysis of survey responses, followed by confirmatory factor analysis of 200 reserved survey responses. We generated a new, shorter survey instrument of items with strong factor loadings. Six factors, including 44 survey items, emerged from the exploratory analysis. Two factors (Clinic Workload and Teamwork) were independent from the others. The remaining 4 factors (staff relationships, quality improvement orientation, managerial readiness for change, and staff readiness for change) were highly correlated, indicating that these represented dimensions of a higher-order factor we called "Clinic Functionality." This 2-level, 6-factor model fit the data well in the exploratory and confirmatory samples. For all but 1 factor, fewer than 20 survey responses were needed to achieve clinic-level reliability >0.7. Survey instruments designed to measure workplace climate have substantial overlap. The relatively parsimonious item set we identified might help target and tailor clinics' quality improvement efforts.
Measuring Workplace Climate in Community Clinics and Health Centers
Friedberg, Mark W.; Rodriguez, Hector P.; Martsolf, Grant; Edelen, Maria Orlando; Vargas-Bustamante, Arturo
2018-01-01
Background The effectiveness of community clinics and health centers’ efforts to improve the quality of care might be modified by clinics’ workplace climates. Several surveys to measure workplace climate exist, but their relationships to each other and to distinguishable dimensions of workplace climate are unknown. Objective To assess the psychometric properties of a survey instrument combining items from several existing surveys of workplace climate and to generate a shorter instrument for future use. Methods We fielded a 106-item survey, which included items from 9 existing instruments, to all clinicians and staff members (n=781) working in 30 California community clinics and health centers, receiving 628 responses (80% response rate). We performed exploratory factor analysis of survey responses, followed by confirmatory factor analysis of 200 reserved survey responses. We generated a new, shorter survey instrument of items with strong factor loadings. Results Six factors, including 44 survey items, emerged from the exploratory analysis. Two factors (Clinic Workload and Teamwork) were independent from the others. The remaining 4 factors (Staff Relationships, Quality Improvement Orientation, Managerial Readiness for Change, and Staff Readiness for Change) were highly correlated, indicating that these represented dimensions of a higher-order factor we called “Clinic Functionality.” This two-level, six-factor model fit the data well in the exploratory and confirmatory samples. For all but one factor, fewer than 20 survey responses were needed to achieve clinic-level reliability >0.7. Conclusion Survey instruments designed to measure workplace climate have substantial overlap. The relatively parsimonious item set we identified might help target and tailor clinics’ quality improvement efforts. PMID:27326549
Risk and Protective Factors of Micronesian Youth in Hawai’i: An Exploratory Study
Okamoto, Scott K.; Mayeda, David T.; Ushiroda, Mari; Rehuher, Davis; Lauilefue, Tui; Ongalibang, Ophelia
2009-01-01
This exploratory, qualitative study examined the risk and protective factors of Micronesian middle and high school students in Hawai’i. Forty one Micronesian youth participated in 9 focus groups that explored their experiences within their schools, families, and communities. The findings describe youths’ experiences of ecological stress beginning with their migration to Hawai’i, and the potential outcomes of this stress (e.g., fighting, gangs, and drug use). Cultural buffers, such as traditional practices and culturally specific prevention programs, were described as aspects that prevented adverse outcomes. Implications for prevention practice are discussed. PMID:20559460
Factor Rotation and Standard Errors in Exploratory Factor Analysis
ERIC Educational Resources Information Center
Zhang, Guangjian; Preacher, Kristopher J.
2015-01-01
In this article, we report a surprising phenomenon: Oblique CF-varimax and oblique CF-quartimax rotation produced similar point estimates for rotated factor loadings and factor correlations but different standard error estimates in an empirical example. Influences of factor rotation on asymptotic standard errors are investigated using a numerical…
ERIC Educational Resources Information Center
Blome, Wendy Whiting; Shields, Joseph; Verdieck, Mary Jeanne
2009-01-01
The child welfare and substance abuse systems are integrally linked through the children and families they both serve. There is a dearth of knowledge, however, on how children who have experienced foster care fare when they are treated for substance abuse issues as adults. This article presents an exploratory study using the Alcohol and Drug…
ERIC Educational Resources Information Center
Ebesutani, Chad; Reise, Steven P.; Chorpita, Bruce F.; Ale, Chelsea; Regan, Jennifer; Young, John; Higa-McMillan, Charmaine; Weisz, John R.
2012-01-01
Using a school-based (N = 1,060) and clinic-referred (N = 303) youth sample, the authors developed a 25-item shortened version of the Revised Child Anxiety and Depression Scale (RCADS) using Schmid-Leiman exploratory bifactor analysis to reduce client burden and administration time and thus improve the transportability characteristics of this…
What can be learned from the effects of benzodiazepines on exploratory behavior?
File, S E
1985-01-01
The purpose of this review is to assess the value of using tests of exploratory behavior to study the actions of benzodiazepines. The methods of measuring exploration and the factors influencing it are briefly described. The effects of benzodiazepines on exploratory behavior of rats and mice are reviewed; and the dangers of interpreting the results of such tests in terms of any of the clinical effects of the benzodiazepines is stressed. Finally, the interactions between benzodiazepines and other drugs acting at the GABA-benzodiazepine receptor complex are described. The results of these experiments caution against global classification of compounds as benzodiazepine "antagonists."
Factor Structure of the Social Appearance Anxiety Scale in Turkish Early Adolescents
ERIC Educational Resources Information Center
Sahin, Ertugrul; Topkaya, Nursel
2015-01-01
Although the Social Appearance Anxiety Scale (SAAS) is most often validated with the use of confirmatory factor analysis (CFA) on undergraduate students, exploratory factor analysis and multiple factor retention decision criteria necessitate the analysis of underlying factor structure to prevent over and under factoring as well as to reveal…
Revised scoring and improved reliability for the Communication Patterns Questionnaire.
Crenshaw, Alexander O; Christensen, Andrew; Baucom, Donald H; Epstein, Norman B; Baucom, Brian R W
2017-07-01
The Communication Patterns Questionnaire (CPQ; Christensen, 1987) is a widely used self-report measure of couple communication behavior and is well validated for assessing the demand/withdraw interaction pattern, which is a robust predictor of poor relationship and individual outcomes (Schrodt, Witt, & Shimkowski, 2014). However, no studies have examined the CPQ's factor structure using analytic techniques sufficient by modern standards, nor have any studies replicated the factor structure using additional samples. Further, the current scoring system uses fewer than half of the total items for its 4 subscales, despite the existence of unused items that have content conceptually consistent with those subscales. These characteristics of the CPQ have likely contributed to findings that subscale scores are often troubled by suboptimal psychometric properties such as low internal reliability (e.g., Christensen, Eldridge, Catta-Preta, Lim, & Santagata, 2006). The present study uses exploratory and confirmatory factor analyses on 4 samples to reexamine the factor structure of the CPQ to improve scale score reliability and to determine if including more items in the subscales is warranted. Results indicate that a 3-factor solution (constructive communication and 2 demand/withdraw scales) provides the best fit for the data. That factor structure was confirmed in the replication samples. Compared with the original scales, the revised scales include additional items that expand the conceptual range of the constructs, substantially improve reliability of scale scores, and demonstrate stronger associations with relationship satisfaction and sensitivity to change in therapy. Implications for research and treatment are discussed. (PsycINFO Database Record (c) 2017 APA, all rights reserved).
Swineford, Lauren B; Guthrie, Whitney; Thurm, Audrey
2015-12-01
The purpose of this study was to report on the construct, convergent, and divergent validity of the Mullen Scales of Early Learning (MSEL), a widely used test of development for young children. The sample consisted of 399 children with a mean age of 3.38 years (SD = 1.14) divided into a group of children with autism spectrum disorder (ASD) and a group of children not on the autism spectrum, with and without developmental delays. The study used the MSEL and several other measures assessing constructs relevant to the age range--including developmental skills, autism symptoms, and psychopathology symptoms--across multiple methods of assessment. Multiple-group confirmatory factor analyses revealed good overall fit and equal form of the MSEL 1-factor model across the ASD and nonspectrum groups, supporting the construct validity of the MSEL. However, neither full nor partial invariance of factor loadings was established because of the lower loadings in the ASD group compared with the nonspectrum group. Exploratory structural equation modeling revealed that other measures of developmental skills loaded together with the MSEL domain scores on a Developmental Functioning factor, supporting convergent validity of the MSEL. Divergent validity was supported by the lack of loading of MSEL domain scores on Autism Symptoms or Emotion/Behavior Problems factors. Although factor structure and loadings varied across groups, convergent and divergent validity findings were similar in the ASD and nonspectrum samples. Together, these results demonstrate evidence for the construct, convergent, and divergent validity of the MSEL using powerful data-analytic techniques. (c) 2015 APA, all rights reserved).
Ang, Rebecca P; Chong, Wan Har; Huan, Vivien S; Yeo, Lay See
2007-01-01
This article reports the development and initial validation of scores obtained from the Adolescent Concerns Measure (ACM), a scale which assesses concerns of Asian adolescent students. In Study 1, findings from exploratory factor analysis using 619 adolescents suggested a 24-item scale with four correlated factors--Family Concerns (9 items), Peer Concerns (5 items), Personal Concerns (6 items), and School Concerns (4 items). Initial estimates of convergent validity for ACM scores were also reported. The four-factor structure of ACM scores derived from Study 1 was confirmed via confirmatory factor analysis in Study 2 using a two-fold cross-validation procedure with a separate sample of 811 adolescents. Support was found for both the multidimensional and hierarchical models of adolescent concerns using the ACM. Internal consistency and test-retest reliability estimates were adequate for research purposes. ACM scores show promise as a reliable and potentially valid measure of Asian adolescents' concerns.
Capone, Vincenza; Petrillo, Giovanna
2014-06-01
In two studies we constructed and validated the Patient's Communication Perceived Self-efficacy Scale (PCSS) designed to assess patients' beliefs about their capability to successfully manage problematic situations related to communication with doctor. The 20-item scale was administered to 179 outpatients (study 1). An Exploratory Factor Analysis revealed a three-factor solution. In study 2, the 16-item scale was administered to 890 outpatients. Exploratory and Confirmatory Factor Analyses supported the 3-factor solution (Provide and Collect information, Express concerns and doubts, Verify information) that showed good psychometric properties and was invariant for gender. PCSS is an easily administered, reliable, and valid test of patients' communication self-efficacy beliefs. It can be applied optimally in the empirical study of factors influencing doctor-patient communication and used in training aimed at strengthening patients' communication skills. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.
Zhang, Yubo; Rau, Pei-Luen Patrick
2016-06-01
This study developed a scale measuring excessive involvement in multitasking interaction with smart devices. An online questionnaire was designed and surveyed in a sample of 380 respondents. The sample was split into two groups for exploratory and confirmatory factor analysis, respectively. A four-factor structure was identified with an acceptable goodness of fit. The first two factors, "Obsession and neglect" and "Problematic control," described the obsessive feelings, neglect behaviors, and behavior control problems accompanied by excessive multitasking interaction with smart devices. The latter two factors, "Multitasking preference" and "Polychronic orientation," referred to multitaskers' preference of engaging in multiple media use or interaction tasks rather than a single task from the time orientation perspective. The four-factor structure indicates that excessive involvement in multitasking interaction with smart devices shares some similarities with other behavioral addiction types, but demonstrates uniqueness compared with excessive engagement in single media use.
The Dream Property Scale: an exploratory English version.
Takeuchi, T; Ogilvie, R D; Ferrelli, A V; Murphy, T I; Belicki, K
2001-09-01
Our goal is to develop an English version of the Dream Property Scale (DPS-E) based on the original normed scale in Japan (DPS-J). Factor analyses extracted four factors (Emotionality, Rationality, Activity, and Impression) and its factor structure was apparently similar to the DPS-J. The DPS-E was also shown to be related to EEG power spectral values. These results indicate that the DPS-E may provide an exploratory basis for a reliable and valid tool for capturing and quantifying the properties of dream experiences that could reflect physiological activities without the intervention of experimenters. We suggest that the DPS-E will develop into a useful tool to help clarify dream production mechanisms by further investigation. Copyright 2001 Academic Press.
Factor Analysis via Components Analysis
ERIC Educational Resources Information Center
Bentler, Peter M.; de Leeuw, Jan
2011-01-01
When the factor analysis model holds, component loadings are linear combinations of factor loadings, and vice versa. This interrelation permits us to define new optimization criteria and estimation methods for exploratory factor analysis. Although this article is primarily conceptual in nature, an illustrative example and a small simulation show…
Secondary School Students' Views of Inhibiting Factors in Seeking Counselling
ERIC Educational Resources Information Center
Chan, Stephanie; Quinn, Philip
2012-01-01
This study examines secondary school students' perceptions of inhibiting factors in seeking counselling. Responses to a questionnaire completed by 1346 secondary school students were analysed using quantitative and qualitative methods. Exploratory factor analysis highlighted that within 21 pre-defined inhibiting factors, items loaded strongly on…
Immersive Visual Analytics for Transformative Neutron Scattering Science
DOE Office of Scientific and Technical Information (OSTI.GOV)
Steed, Chad A; Daniel, Jamison R; Drouhard, Margaret
The ORNL Spallation Neutron Source (SNS) provides the most intense pulsed neutron beams in the world for scientific research and development across a broad range of disciplines. SNS experiments produce large volumes of complex data that are analyzed by scientists with varying degrees of experience using 3D visualization and analysis systems. However, it is notoriously difficult to achieve proficiency with 3D visualizations. Because 3D representations are key to understanding the neutron scattering data, scientists are unable to analyze their data in a timely fashion resulting in inefficient use of the limited and expensive SNS beam time. We believe a moremore » intuitive interface for exploring neutron scattering data can be created by combining immersive virtual reality technology with high performance data analytics and human interaction. In this paper, we present our initial investigations of immersive visualization concepts as well as our vision for an immersive visual analytics framework that could lower the barriers to 3D exploratory data analysis of neutron scattering data at the SNS.« less
Sheldon, Michael R
2016-01-01
Policy studies are a recent addition to the American Physical Therapy Association's Research Agenda and are critical to our understanding of various federal, state, local, and organizational policies on the provision of physical therapist services across the continuum of care. Policy analyses that help to advance the profession's various policy agendas will require relevant theoretical frameworks to be credible. The purpose of this perspective article is to: (1) demonstrate the use of a policy-making theory as an analytical framework in a policy analysis and (2) discuss how sound policy analysis can assist physical therapists in becoming more effective change agents, policy advocates, and partners with other relevant stakeholder groups. An exploratory study of state agency policy responses to address work-related musculoskeletal disorders is provided as a contemporary example to illustrate key points and to demonstrate the importance of selecting a relevant analytical framework based on the context of the policy issue under investigation. © 2016 American Physical Therapy Association.
An investigation into the prevalence of exploratory behavior in captive cheetahs (Acinonyx jubatus).
Quirke, Thomas; O'Riordan, Ruth
2015-01-01
Exploratory behavior in the wild is fundamentally linked to an animal's survival and natural life history. The ability to gather information about their environment, establish territories, assert dominance, communicate information regarding reproductive status and locate mates are closely associated with a range of exploratory behaviors. Understanding how these behaviors are performed within the captive setting is crucial in order to create a captive environment in which these behaviors can be expressed, and their function conserved. The objective of this research was to highlight the factors of captive husbandry and management that influence the occurrence of exploratory behaviour of cheetahs (Acinonyx jubatus) in captivity. One hundred and twelve cheetahs in 88 enclosures across nine zoological institutions in five countries were the subjects of this study. The presence of raised areas, number of movements between enclosures, group composition, sex and an interaction between group composition and the ability to view cheetahs in adjacent enclosures, all significantly influenced the prevalence of exploratory behavior in captive cheetahs. The presence of raised areas and an increasing number of movements between enclosures significantly increased the probability of observing exploratory behaviour, while this probability was significantly decreased for female cheetahs, when cheetahs were able to view conspecifics in adjacent enclosures, and were maintained in groups. A number of recommendations are discussed in relation to promoting exploratory behavior in captive cheetahs. © 2014 Wiley Periodicals, Inc.
Determining the Number of Factors in P-Technique Factor Analysis
ERIC Educational Resources Information Center
Lo, Lawrence L.; Molenaar, Peter C. M.; Rovine, Michael
2017-01-01
Determining the number of factors is a critical first step in exploratory factor analysis. Although various criteria and methods for determining the number of factors have been evaluated in the usual between-subjects R-technique factor analysis, there is still question of how these methods perform in within-subjects P-technique factor analysis. A…
NASA Astrophysics Data System (ADS)
Boroushaki, Soheil; Malczewski, Jacek
2008-04-01
This paper focuses on the integration of GIS and an extension of the analytical hierarchy process (AHP) using quantifier-guided ordered weighted averaging (OWA) procedure. AHP_OWA is a multicriteria combination operator. The nature of the AHP_OWA depends on some parameters, which are expressed by means of fuzzy linguistic quantifiers. By changing the linguistic terms, AHP_OWA can generate a wide range of decision strategies. We propose a GIS-multicriteria evaluation (MCE) system through implementation of AHP_OWA within ArcGIS, capable of integrating linguistic labels within conventional AHP for spatial decision making. We suggest that the proposed GIS-MCE would simplify the definition of decision strategies and facilitate an exploratory analysis of multiple criteria by incorporating qualitative information within the analysis.
Becker, Daniel F.; Añez, Luis Miguel; Paris, Manuel; Grilo, Carlos M.
2009-01-01
This study examined the factor structure of the DSM-IV criteria for borderline personality disorder (BPD) in Hispanic patients. Subjects were 130 monolingual Hispanic adults who had been admitted to a specialty outpatient clinic that provides psychiatric and substance abuse services to Spanish-speaking individuals. All were reliably assessed with the Spanish-Language Version of the Diagnostic Interview for DSM-IV Personality Disorders. After evaluating internal consistency of the BPD criterion set, an exploratory factor analysis was performed using principal axis factoring. Results suggested a unidimensional structure, and were consistent with similar studies of the DSM-IV criteria for BPD in non-Hispanic samples. These findings have implications for understanding borderline psychopathology in this population, and for the overall validity of the DSM-IV BPD construct. PMID:20472296
Konkolÿ Thege, Barna; Ham, Elke; Ball, Laura C
2017-12-01
Recovery is understood as living a life with hope, purpose, autonomy, productivity, and community engagement despite a mental illness. The aim of this study was to provide further information on the psychometric properties of the Person-in-Recovery and Provider versions of the Revised Recovery Self-Assessment (RSA-R), a widely used measure of recovery orientation. Data from 654 individuals were analyzed, 519 of whom were treatment providers (63.6% female), while 135 were inpatients (10.4% female) of a Canadian tertiary-level psychiatric hospital. Confirmatory and exploratory techniques were used to investigate the factor structure of both versions of the instrument. Results of the confirmatory factor analyses showed that none of the four theoretically plausible models fit the data well. Principal component analyses could not replicate the structure obtained by the scale developers either and instead resulted in a five-component solution for the Provider and a four-component solution for the Person-in-Recovery version. When considering the results of a parallel analysis, the number of components to retain dropped to two for the Provider version and one for the Person-in-Recovery version. We can conclude that the RSA-R requires further revision to become a psychometrically sound instrument for assessing recovery-oriented practices in an inpatient mental health-care setting.
Konkolÿ Thege, Barna; Rafael, Beatrix; Rohánszky, Magda
2014-01-01
Form C of the Multidimensional Health Locus of Control Scales (MHLC-C) was designed to investigate health-related control beliefs of persons with an existing medical condition. The aim of the present study was to examine the psychometric properties of this instrument in a culture characterized by external control beliefs and learned helplessness—contrary to the societal context of original test development. Altogether, 374 Hungarian patients with cancer, irritable bowel syndrome, diabetes, and cardiovascular and musculoskeletal disorders were enrolled in the study. Besides the MHLC-C, instruments measuring general control beliefs, anxiety, depression, self-efficacy, and health behaviors were also administered to evaluate the validity of the scale. Both exploratory and confirmatory factor analytic techniques were used to investigate the factor structure of the scale. Our results showed that the Hungarian adaptation of the instrument had a slightly different structure than the one originally hypothesized: in the present sample, a three-factor structure emerged where the items of the Doctors and the Others subscales loaded onto a single common component. Internal reliability of all three subscales was adequate (alphas between .71 and .79). Data concerning the instrument's validity were comparable with previous results from Western countries. These findings may suggest that health locus of control can be construed very similarly to Western countries even in a post-communist society—regardless of the potential differences in general control beliefs. PMID:25202967
Research to Conduct an Exploratory Experimental and Analytical Investigation of Alloys
1978-03-01
d« (f n«r««a«rv on« 149*111* hv *l«c* f*u0«««> Titanium Aluminides , Alloy Development, Mechemical Properties, Powder Metallurgy, Forging, Joining...Ccmpcsition of Titanium 79 Aluminida Alloy 9 Nuclear Metals Reported REP Titanium 80 Aluminide Powder Size Distribution 10 Phase I, Task I...137 141 24 Chemical Composition of Titanium Aluminide Alloy TMCA Heat 75301 Ti-13.5Al-21.4Nb 25 Isothermal Forging Results 26 Tensile Results
V/STOL tilt rotor aircraft study. Volume 7: Tilt rotor flight control program feedback studies
NASA Technical Reports Server (NTRS)
Alexander, H. R.; Eason, W.; Gillmore, K.; Morris, J.; Spittle, R.
1973-01-01
An exploratory study has been made of the use of feedback control in tilt rotor aircraft. This has included the use of swashplate cyclic and collective controls and direct lift control. Various sensor and feedback systems are evaluated in relation to blade loads alleviation, improvement in flying qualities, and modal suppression. Recommendations are made regarding additional analytical and wind tunnel investigations and development of feedback systems in the full scale flight vehicle. Estimated costs and schedules are given.
A close-range photogrammetric technique for mapping neotectonic features in trenches
Fairer, G.M.; Whitney, J.W.; Coe, J.A.
1989-01-01
Close-range photogrammetric techniques and newly available computerized plotting equipment were used to map exploratory trench walls that expose Quaternary faults in the vicinity of Yucca Mountain, Nevada. Small-scale structural, lithologic, and stratigraphic features can be rapidly mapped by the photogrammetric method. This method is more accurate and significantly more rapid than conventional trench-mapping methods, and the analytical plotter is capable of producing cartographic definition of high resolution when detailed trench maps are necessary. -from Authors
Cross-Validation of Levenson's Psychopathy Scale in a Sample of Federal Female Inmates
ERIC Educational Resources Information Center
Brinkley, Chad A.; Diamond, Pamela M.; Magaletta, Philip R.; Heigel, Caron P.
2008-01-01
Levenson, Kiehl, and Fitzpatrick's Self-Report Psychopathy Scale (LSRPS) is evaluated to determine the factor structure and concurrent validity of the instrument among 430 federal female inmates. Confirmatory factor analysis fails to validate the expected 2-factor structure. Subsequent exploratory factor analysis reveals a 3-factor structure…
Factor Structure of the Exercise Self-Efficacy Scale
ERIC Educational Resources Information Center
Cornick, Jessica E.
2015-01-01
The current study utilized exercise self-efficacy ratings from undergraduate students to assess the factor structure of the Self-Efficacy to Regulate Exercise Scale (Bandura, 1997, 2006). An exploratory factor analysis (n = 759) indicated a two-factor model solution and three separate confirmatory factor analyses (n = 1,798) supported this…
Factor Structure of the Children's Behavior Questionnaire in Children with Williams Syndrome
ERIC Educational Resources Information Center
Leyfer, Ovsanna; John, Angela E.; Woodruff-Borden, Janet; Mervis, Carolyn B.
2012-01-01
To examine the factor structure of temperament in 5-10-year-olds with Williams syndrome, an exploratory factor analysis was conducted on the responses of parents of 192 children on the children's behavior questionnaire. Four factors were identified. Two corresponded to factors reported for typically developing children: effortful control and…
Re-Examining the Dimensions of Obligatory Exercise
ERIC Educational Resources Information Center
Duncan, Lindsay R.; Hall, Craig R.; Fraser, Shawn N.; Rodgers, Wendy M.; Wilson, Philip M.; Loitz, Christina C.
2012-01-01
The authors examined the factor structure and psychometric properties of the Obligatory Exercise Questionnaire using exploratory factor analyses (Study 1), and confirmatory factor analyses (Study 2). The relationships between obligatory exercise and other psychological variables including: motivation, subjective well-being, physical self-concept,…
Caregiver’s feeding styles questionnaire - new factors and correlates
USDA-ARS?s Scientific Manuscript database
Study objectives were to conduct exploratory factor analysis (EFA) of Caregiver’s Feeding Styles Questionnaire (CFSQ) and evaluate correlations between factors and maternal feeding practices, attitudes, and perceptions. Mothers (N = 144) were 43% minority race/ethnicity, 24% full-time employed, 54% ...
Secondary School Burnout Scale (SSBS)
ERIC Educational Resources Information Center
Aypay, Ayse
2012-01-01
The purpose of this study is to develop "Secondary School Burnout Scale." Study group included 728 students out of 14 schools in four cities in Turkey. Both Exploratory Factor Analysis and Confirmatory Factor Analysis were conducted on the data. A seven-factor solution emerged. The seven factors explained 61% of the total variance. The…
Singaporean Adolescents' Perceptions of Online Social Communication: An Exploratory Factor Analysis
ERIC Educational Resources Information Center
Zheng, Robert Z.; Cheok, Angeline; Khoo, Eng
2011-01-01
The current study investigated adolescents' perceptions in online social communication. Three factors were perceived by adolescents as critical to online social communication. These included self-identity, self-confidence, and self-social factors. Results showed significant differences between the factors derived from the current study and those…
Factor Structure of Autistic Traits in Children with ADHD
ERIC Educational Resources Information Center
Martin, Joanna; Hamshere, Marian L.; O'Donovan, Michael C.; Rutter, Michael; Thapar, Anita
2014-01-01
Attention-deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) often co-occur. Factor analyses of ASD traits in children with and without ASD indicate the presence of social and restrictive-repetitive behaviour (RRB) factors. This study used exploratory factor analyses to determine the structure of ASD traits (assessed using…
[Exploratory analysis of work engagement: use of the Utrecht scale in Benin].
Ahanhanzo, Yolaine Glèlè; Kittel, France; Paraïso, Noël Moussiliou; Godin, Isabelle; Wilmet-Dramaix, Michèle; Makoutodé, Michel
2014-01-01
Work engagement, an emerging concept in the field of positive psychology in the workplace is not well known in developing countries. Defined as a positive and and fulfilling mindset related to work, it recalls a positive attitude incentive of performance and need to be investigated. In the context of the socioeconomic crisis of health workers, and with the chronic issue of poor quality of data, this study was designed to identify the factors associated with work engagement among health workers. in charge of data collection in the Benin Routine Health Information System. This study was a cross-sectional and analytical study targeting health workers in charge of data collection in public and private health centres. The dependent variable was work engagement and independent variables were sociodemographic and professional features, personal and professional resources and perception of technical factors. Logistic regression was used. The adequacy of the model was tested with the Hosmer-Lemeshow goodness of fit test. The results indicate that the level of work engagement is similar with that observed in previous studies. Predictors identified in logistic regression are perception of technical factors, location of the job, and personal resources, such as level of effort and overcommitment. This study identified factors associated with work engagement in a developing country, and adds to the knowledge concerning this new concept in Benin. The findings can contribute to research for improvement of human resources management in the health sector to achieve real performance and development.
The structure of lifetime manic-hypomanic spectrum.
Cassano, G B; Mula, M; Rucci, P; Miniati, M; Frank, E; Kupfer, D J; Oppo, A; Calugi, S; Maggi, L; Gibbons, R; Fagiolini, A
2009-01-01
The observation that bipolar disorders frequently go unrecognized has prompted the development of screening instruments designed to improve the identification of bipolarity in clinical and non-clinical samples. Starting from a lifetime approach, researchers of the Spectrum Project developed the Mood Spectrum Self-Report (MOODS-SR) that assesses threshold-level manifestations of unipolar and bipolar mood psychopathology, but also atypical symptoms, behavioral traits and temperamental features. The aim of the present study is to examine the structure of mania/hypomania using 68 items of the MOODS-SR that explore cognitive, mood and energy/activity features associated with mania/hypomania. A data pool of 617 patients with bipolar disorders, recruited at Pittsburgh and Pisa, Italy was used for this purpose. Classical exploratory factor analysis, based on a tetrachoric matrix, was carried out on the 68 items, followed by an Item Response Theory (IRT)-based factor analytic approach. Nine factors were initially identified, that include Psychomotor Activation, Creativity, Mixed Instability, Sociability/Extraversion, Spirituality/Mysticism/Psychoticism, Mixed Irritability, Inflated Self-esteem, Euphoria, Wastefulness/Recklessness, and account overall for 56.4% of the variance of items. In a subsequent IRT-based bi-factor analysis, only five of them (Psychomotor Activation, Mixed Instability, Spirituality/Mysticism/Psychoticism, Mixed Irritability, Euphoria) were retained. Our data confirm the central role of Psychomotor Activation in mania/hypomania and support the definitions of pure manic (Psychomotor Activation and Euphoria) and mixed manic (Mixed Instability and Mixed Irritability) components, bearing the opportunity to identify patients with specific profiles for a better clinical and neurobiological definition.
IBM Watson Analytics: Automating Visualization, Descriptive, and Predictive Statistics
2016-01-01
Background We live in an era of explosive data generation that will continue to grow and involve all industries. One of the results of this explosion is the need for newer and more efficient data analytics procedures. Traditionally, data analytics required a substantial background in statistics and computer science. In 2015, International Business Machines Corporation (IBM) released the IBM Watson Analytics (IBMWA) software that delivered advanced statistical procedures based on the Statistical Package for the Social Sciences (SPSS). The latest entry of Watson Analytics into the field of analytical software products provides users with enhanced functions that are not available in many existing programs. For example, Watson Analytics automatically analyzes datasets, examines data quality, and determines the optimal statistical approach. Users can request exploratory, predictive, and visual analytics. Using natural language processing (NLP), users are able to submit additional questions for analyses in a quick response format. This analytical package is available free to academic institutions (faculty and students) that plan to use the tools for noncommercial purposes. Objective To report the features of IBMWA and discuss how this software subjectively and objectively compares to other data mining programs. Methods The salient features of the IBMWA program were examined and compared with other common analytical platforms, using validated health datasets. Results Using a validated dataset, IBMWA delivered similar predictions compared with several commercial and open source data mining software applications. The visual analytics generated by IBMWA were similar to results from programs such as Microsoft Excel and Tableau Software. In addition, assistance with data preprocessing and data exploration was an inherent component of the IBMWA application. Sensitivity and specificity were not included in the IBMWA predictive analytics results, nor were odds ratios, confidence intervals, or a confusion matrix. Conclusions IBMWA is a new alternative for data analytics software that automates descriptive, predictive, and visual analytics. This program is very user-friendly but requires data preprocessing, statistical conceptual understanding, and domain expertise. PMID:27729304
IBM Watson Analytics: Automating Visualization, Descriptive, and Predictive Statistics.
Hoyt, Robert Eugene; Snider, Dallas; Thompson, Carla; Mantravadi, Sarita
2016-10-11
We live in an era of explosive data generation that will continue to grow and involve all industries. One of the results of this explosion is the need for newer and more efficient data analytics procedures. Traditionally, data analytics required a substantial background in statistics and computer science. In 2015, International Business Machines Corporation (IBM) released the IBM Watson Analytics (IBMWA) software that delivered advanced statistical procedures based on the Statistical Package for the Social Sciences (SPSS). The latest entry of Watson Analytics into the field of analytical software products provides users with enhanced functions that are not available in many existing programs. For example, Watson Analytics automatically analyzes datasets, examines data quality, and determines the optimal statistical approach. Users can request exploratory, predictive, and visual analytics. Using natural language processing (NLP), users are able to submit additional questions for analyses in a quick response format. This analytical package is available free to academic institutions (faculty and students) that plan to use the tools for noncommercial purposes. To report the features of IBMWA and discuss how this software subjectively and objectively compares to other data mining programs. The salient features of the IBMWA program were examined and compared with other common analytical platforms, using validated health datasets. Using a validated dataset, IBMWA delivered similar predictions compared with several commercial and open source data mining software applications. The visual analytics generated by IBMWA were similar to results from programs such as Microsoft Excel and Tableau Software. In addition, assistance with data preprocessing and data exploration was an inherent component of the IBMWA application. Sensitivity and specificity were not included in the IBMWA predictive analytics results, nor were odds ratios, confidence intervals, or a confusion matrix. IBMWA is a new alternative for data analytics software that automates descriptive, predictive, and visual analytics. This program is very user-friendly but requires data preprocessing, statistical conceptual understanding, and domain expertise.
Human, Lauren J; Thorson, Katherine R; Woolley, Joshua D; Mendes, Wendy Berry
2017-04-01
Intranasal administration of the hypothalamic neuropeptide oxytocin (OT) has, in some studies, been associated with positive effects on social perception and cognition. Similarly, positive emotion inductions can improve a range of perceptual and performance-based behaviors. In this exploratory study, we examined how OT administration and positive emotion inductions interact in their associations with social and analytical performance. Participants (N=124) were randomly assigned to receive an intranasal spray of OT (40IU) or placebo and then viewed one of three videos designed to engender one of the following emotion states: social warmth, pride, or an affectively neutral state. Following the emotion induction, participants completed social perception and analytical tasks. There were no significant main effects of OT condition on social perception tasks, failing to replicate prior research, or on analytical performance. Further, OT condition and positive emotion inductions did not interact with each other in their associations with social perception performance. However, OT condition and positive emotion manipulations did significantly interact in their associations with analytical performance. Specifically, combining positive emotion inductions with OT administration was associated with worse analytical performance, with the pride induction no longer benefiting performance and the warmth induction resulting in worse performance. In sum, we found little evidence for main or interactive effects of OT on social perception but preliminary evidence that OT administration may impair analytical performance when paired with positive emotion inductions. Copyright © 2017 Elsevier Inc. All rights reserved.
ERIC Educational Resources Information Center
Barton, Marlin C.; And Others
An exploratory study of a prison community is presented. The study employed a three-phase design: (1) a pre-survey of the prison community, (2) limited intervention, based on findings of the pre-survey, and (3) a post-survey to determine effects of intervention and to validate findings of the pre-survey for which no intervention had been designed.…
Charise, Andrea; Witteman, Holly; Whyte, Sarah; Sutton, Erica J.; Bender, Jacqueline L.; Massimi, Michael; Stephens, Lindsay; Evans, Joshua; Logie, Carmen; Mirza, Raza M.; Elf, Marie
2011-01-01
Abstract Objective To combine insights from multiple disciplines into a set of questions that can be used to investigate contextual factors affecting health decision making. Background Decision‐making processes and outcomes may be shaped by a range of non‐medical or ‘contextual’ factors particular to an individual including social, economic, political, geographical and institutional conditions. Research concerning contextual factors occurs across many disciplines and theoretical domains, but few conceptual tools have attempted to integrate and translate this wide‐ranging research for health decision‐making purposes. Methods To formulate this tool we employed an iterative, collaborative process of scenario development and question generation. Five hypothetical health decision‐making scenarios (preventative, screening, curative, supportive and palliative) were developed and used to generate a set of exploratory questions that aim to highlight potential contextual factors across a range of health decisions. Findings We present an exploratory tool consisting of questions organized into four thematic domains – Bodies, Technologies, Place and Work (BTPW) – articulating wide‐ranging contextual factors relevant to health decision making. The BTPW tool encompasses health‐related scholarship and research from a range of disciplines pertinent to health decision making, and identifies concrete points of intersection between its four thematic domains. Examples of the practical application of the questions are also provided. Conclusions These exploratory questions provide an interdisciplinary toolkit for identifying the complex contextual factors affecting decision making. The set of questions comprised by the BTPW tool may be applied wholly or partially in the context of clinical practice, policy development and health‐related research. PMID:21029277
The Dispositions for Culturally Responsive Pedagogy Scale
ERIC Educational Resources Information Center
Whitaker, Manya C.; Valtierra, Kristina Marie
2018-01-01
Purpose: The purpose of this study is to develop and validate the dispositions for culturally responsive pedagogy scale (DCRPS). Design/methodology/approach: Scale development consisted of a six-step process including item development, expert review, exploratory factor analysis, factor interpretation, confirmatory factor analysis and convergent…
Perceptions and attitude effects on nanotechnology acceptance: an exploratory framework
NASA Astrophysics Data System (ADS)
Ganesh Pillai, Rajani; Bezbaruah, Achintya N.
2017-02-01
Existing literature in people's attitude toward nanotechnology and acceptance of nanotechnology applications has generally investigated the impact of factors at the individual or context levels. While this vast body of research is very informative, a comprehensive understanding of how attitude toward nanotechnology are formed and factors influencing the acceptance of nanotechnology are elusive. This paper proposes an exploratory nanotechnology perception-attitude-acceptance framework (Nano-PAAF) to build a systematic understanding of the phenomenon. The framework proposes that perceptions of risks and benefits of nanotechnology are influenced by cognitive, affective, and sociocultural factors. The sociodemographic factors of consumers and contextual factors mitigate the influence of cognitive, affective, and sociocultural factors on the perception of risks and benefits. The perceived risks and benefits in turn influence people's attitude toward nanotechnology, which then influences acceptance of nanotechnology products. This framework will need further development over time to incorporate emerging knowledge and is expected to be useful for researchers, decision and policy makers, industry, and business entities.
Farrokhi, Farahman; Mahdavi, Ali; Moradi, Samad
2012-01-01
Objective The present study aimed at validating the structure of Career Decision-making Difficulties Questionnaire (CDDQ). Methods Five hundred and eleven undergraduate students took part in this research; from these participants, 63 males and 200 females took part in the first study, and 63 males and 185 females completed the survey for the second study. Results The results of exploratory factor analysis (EFA) indicated strong support for the three-factor structure, consisting of lack of information about the self, inconsistent information, lack of information and lack of readiness factors. A confirmatory factor analysis was run with the second sample using structural equation modeling. As expected, the three-factor solution provided a better fit to the data than the alternative models. Conclusion CDDQ was recommended to be used for college students in this study due to the fact that this instrument measures all three aspects of the model. Future research is needed to learn whether this model would fit other different samples. PMID:22952549
Gros, Daniel F; Simms, Leonard J; Acierno, Ron
2010-12-01
In response to high levels of comorbidity and symptom overlap between posttraumatic stress disorder (PTSD), major depressive disorder (MDD), and other disorders, much attention has been devoted to the role of specific and nonspecific symptoms among the disorders. The present study investigated the overlapping symptoms of PTSD and MDD in treatment-seeking veterans. Exploratory factor analyses were used to identify latent factors of both self-reported and clinician-rated symptoms of PTSD and MDD. Results of exploratory factor analyses supported a 2-factor model representing symptoms of depression and PTSD; however, a subset of PTSD symptoms, characterized by emotional numbing and dysphoria, loaded onto the depression factor, rather than the PTSD factor. These nonspecific PTSD symptoms were predictive of comorbid MDD and increased depression symptomatology in patients with PTSD. Together, these findings demonstrate the importance of accounting for nonspecific symptoms in diagnosis and treatment of PTSD, highlighting a need for revisions to our current diagnostics.
Vacaru, V S; Sterkenburg, P S; Schuengel, C
2018-05-01
Self-concept is seen as both an outcome of sociocognitive and emotional development, and a factor in social and mental health outcomes. Although the contribution of attachment experiences to self-concept has been limited to quality of primary attachment relationships, little is known of the effects of disturbed attachment on self-concept in institutionalized children. Thus, the current study examined associations between disturbed attachment behaviours in institutionalized children and self-concept, testing limited exploration as an explanatory factor. Thirty-three institutionalized children, aged 4-12, participated in a multimethod and multi-informant assessment of disturbed attachment behaviours (i.e., Disturbances of Attachment Interview and Behavioral Signs of Disturbed Attachment in Young Children), self-concept (i.e., Pictorial Scale of Perceived Competence and Social Acceptance for Young Children), and exploratory behaviours (i.e., Student Exploratory Behaviours Observation Scale). Analyses were conducted using bootstrapping techniques. Global self-concept converged with teacher-rated children's self-concept, except for physical competence domain. Disturbed attachment behaviours were identified in 62.5% of the children, and this was associated with lower levels of exploration and lower scores on self-concept, compared with children without disturbed attachment behaviours. Furthermore, exploratory behaviours mediated the effects of disturbed attachment behaviours on self-concept. Institution-reared children with disturbed attachment behaviours were likely to have a negative perception of self and one's own competences. Limited exploratory behaviours explained this linkage. Targeting disordered attachment in children reared in institutions and their caregivers should become a high priority as a means for preventing socioemotional development issues. © 2017 John Wiley & Sons Ltd.
Stoller, Eleanor Palo; Webster, Noah J.; Blixen, Carol E.; McCormick, Richard A.; Hund, Andrew J.; Perzynski, Adam T.; Kanuch, Stephanie W.; Thomas, Charles L.; Kercher, Kyle; Dawson, Neal V.
2009-01-01
Most studies of decisions to curtail alcohol consumption reflect experiences of abusing drinkers. We employ an exploratory sequential research design to explore the applicability of this research to the experience of nonabusing drinkers advised to curtail alcohol consumption after a Hepatitis C diagnosis. A qualitative component identified 17 new decision factors not reflected in an inventory of factors based on synthesis of existing scales. We triangulated qualitative data by supplementing semi-structured interviews with Internet postings. A quantitative component estimated prevalence and association with current drinking of these new decision factors. Patients who quit drinking tended to attribute post-diagnosis drinking to occasional triggers, whereas patients who were still drinking were more likely to endorse rationales not tied to specific triggers. PMID:20046861
Construction and Validation of Afterlife Belief Scale for Muslims.
Ghayas, Saba; Batool, Syeda Shahida
2017-06-01
The purpose of this study was to develop a scale in Urdu language for measuring different dimensions of afterlife belief. The scale was subjected to exploratory and confirmatory factor analysis on a sample of 504 individuals (235 men and 269 women) recruited from different cities in the Punjab, Pakistan. After exploratory and confirmatory factor analysis, 16 items were retained with three well-defined factor structures of afterlife belief: positive, negative, and extinction. The alpha coefficients of the subscales ranged from .65 to .78. Convergent and discriminant validity of the subscales of Afterlife Belief Scale was determined by finding its relationship with the Pleasant Afterlife Belief Scale, the Unpleasant Afterlife Belief Scale, the Anxiety Subscale of DASS, and the Belief in Equitable World Scale. The results support that the newly developed scale has promising validity.
Mayta-Tristán, Percy; Mezones-Holguín, Edward; Pereyra-Elías, Reneé; Montenegro-Idrogo, Juan J; Mejia, Christian R; Dulanto-Pizzorni, Andrés; Muñoz, Sergio R
2013-04-01
To design and validate a scale to assess Latin American medical students' perception on first level of health care (FLHC). An observational, analytic and multicentre study was carried out in two phases: i) A self-administered questionnaire regarding perceptions on FLHClabor was designed. ii) This questionnaire was applied to to medical students from 18 universities of eight Spanish-speaking Latin American countries. An exploratory factor analysis (EFA) was performed through a principal components analysis with orthogonal varimax rotation. Sample adequacy was evaluated. Factor extraction was based on Kaiser's criteria, Cattell's Scree test and the explained variance (>5%). Internal consistency was measured with Cronbach's alpha. 423 students were included in the analysis; 53.4% were from Peruvian universities. After the EFA, the questionnaire conserved 11 items, which were distributed in three domains, that explaining together 55.47% of the total variance: i) Perceptions concerning the FLHC physician; ii) Perceptions concerning the FiLC labor and iii) Perceptions about the economic consequences of working in FLHC. The scale is composed by three domains and can be used to assess the perceptions of the medical work on first level of health care of Spanish-speaking Latin American medical students.
Measuring hope among families impacted by cognitive impairment
Hunsaker, Amanda E.; Terhorst, Lauren; Gentry, Amanda; Lingler, Jennifer H.
2014-01-01
The current exploratory investigation aims to establish the reliability and validity of a hope measure, the Herth Hope Index (HHI), among families impacted by early cognitive impairment (N=96). Exploratory factor analysis was used to examine the dimensionality of the measure. Bivariate analyses were used to examine construct validity. The sample had moderately high hope scores. A two-factor structure emerged from the factor analysis, explaining 51.44% of the variance. Both factors exhibited strong internal consistency (Cronbach’s alphas ranged from .83 to .86). Satisfaction with social support was positively associated with hope, supporting convergent validity. Neurocognitive status, illness insight and depression were not associated with hope, indicating discriminant validity. Families impacted by cognitive impairment may maintain hope in the face of a potentially progressive illness, regardless of cognitive status. The HHI can be utilized as a reliable and valid measure of hope by practitioners providing support to families impacted by cognitive impairment. PMID:24784938
Ford, Robert C; Sivo, Stephen A; Fottler, Myron D; Dickson, Duncan; Bradley, Kenneth; Johnson, Lee
2006-01-01
In today's competitive health care environment, service excellence is rapidly becoming a major differentiating advantage between health care providers. Too often, senior executives talk about their commitment to a mission statement that extols the virtues of providing world class service to their patients only to undermine those statements with what they do, write, and say. This article presents an exploratory investigation into a new application of an internal mission alignment instrument that seeks to assess the extent to which an organization's internal processes are aligned with its service mission. This instrument was sent to 250 randomly selected employees from all clinical departments of a large southeastern hospital to explore the underlying alignment factors. A factor analysis of the data revealed eight factors that predicted beneficial employee outcomes such as organizational commitment and satisfaction with the job and organization.
Question Number Two: How Many Factors?
ERIC Educational Resources Information Center
Goodwyn, Fara
2012-01-01
Exploratory factor analysis involves five key decisions. The second decision, how many factors to retain, is the focus of the current paper. Extracting too many or too few factors often leads to devastating effects on study results. The advantages and disadvantages of the most effective and/or most utilized strategies to determine the number of…
Development and Initial Validation of the Intimate Violence Responsibility Scale (IVRS)
ERIC Educational Resources Information Center
Yun, Sung Hyun; Vonk, M. Elizabeth
2011-01-01
The present study demonstrates the development and initial examination of psychometric properties of the Intimate Violence Responsibility Scale (IVRS) in a community-based sample (N = 527). The underlying factor structure of the IVRS was tested by the exploratory factor analysis (Principal Axis Factoring), which identifies the four factors:…
ERIC Educational Resources Information Center
Whitt, Ahmed; Howard, Matthew O.
2012-01-01
Objectives: The Brief Symptom Inventory (BSI) is widely used in juvenile justice settings; however, little is known regarding its factor structure in antisocial youth. The authors evaluated the BSI factor structure in a state residential treatment population. Methods: 707 adolescents completed the BSI. Exploratory and confirmatory factor analyses…
Factor Analysis of the Aberrant Behavior Checklist in Individuals with Autism Spectrum Disorders
ERIC Educational Resources Information Center
Brinkley, Jason; Nations, Laura; Abramson, Ruth K.; Hall, Alicia; Wright, Harry H.; Gabriels, Robin; Gilbert, John R.; Pericak-Vance, Margaret A. O.; Cuccaro, Michael L.
2007-01-01
Exploratory factor analysis (varimax and promax rotations) of the aberrant behavior checklist-community version (ABC) in 275 individuals with Autism spectrum disorder (ASD) identified four- and five-factor solutions which accounted for greater than 70% of the variance. Confirmatory factor analysis (Lisrel 8.7) revealed indices of moderate fit for…
The Counseling Competencies Scale: Validation and Refinement
ERIC Educational Resources Information Center
Lambie, Glenn W.; Mullen, Patrick R.; Swank, Jacqueline M.; Blount, Ashley
2018-01-01
Supervisors evaluated counselors-in-training at multiple points during their practicum experience using the Counseling Competencies Scale (CCS; N = 1,070). The CCS evaluations were randomly split to conduct exploratory factor analysis and confirmatory factor analysis, resulting in a 2-factor model (61.5% of the variance explained).
Development and Psychometric Evaluation of the Interpersonal Sexual Objectification Scale
ERIC Educational Resources Information Center
Kozee, Holly B.; Tylka, Tracy L.; Augustus-Horvath, Casey L.; Denchik, Angela
2007-01-01
This study reports on the development and psychometric evaluation of the Interpersonal Sexual Objectification Scale (ISOS). Data from 576 college women were collected in three studies. Exploratory factor analysis uncovered two factors: Body Evaluation and Unwanted Explicit Sexual Advances; confirmatory factor analysis supported this factor…
A Toolkit for ARB to Integrate Custom Databases and Externally Built Phylogenies
Essinger, Steven D.; Reichenberger, Erin; Morrison, Calvin; ...
2015-01-21
Researchers are perpetually amassing biological sequence data. The computational approaches employed by ecologists for organizing this data (e.g. alignment, phylogeny, etc.) typically scale nonlinearly in execution time with the size of the dataset. This often serves as a bottleneck for processing experimental data since many molecular studies are characterized by massive datasets. To keep up with experimental data demands, ecologists are forced to choose between continually upgrading expensive in-house computer hardware or outsourcing the most demanding computations to the cloud. Outsourcing is attractive since it is the least expensive option, but does not necessarily allow direct user interaction with themore » data for exploratory analysis. Desktop analytical tools such as ARB are indispensable for this purpose, but they do not necessarily offer a convenient solution for the coordination and integration of datasets between local and outsourced destinations. Therefore, researchers are currently left with an undesirable tradeoff between computational throughput and analytical capability. To mitigate this tradeoff we introduce a software package to leverage the utility of the interactive exploratory tools offered by ARB with the computational throughput of cloud-based resources. Our pipeline serves as middleware between the desktop and the cloud allowing researchers to form local custom databases containing sequences and metadata from multiple resources and a method for linking data outsourced for computation back to the local database. Furthermore, a tutorial implementation of the toolkit is provided in the supporting information, S1 Tutorial.« less
A Toolkit for ARB to Integrate Custom Databases and Externally Built Phylogenies
Essinger, Steven D.; Reichenberger, Erin; Morrison, Calvin; Blackwood, Christopher B.; Rosen, Gail L.
2015-01-01
Researchers are perpetually amassing biological sequence data. The computational approaches employed by ecologists for organizing this data (e.g. alignment, phylogeny, etc.) typically scale nonlinearly in execution time with the size of the dataset. This often serves as a bottleneck for processing experimental data since many molecular studies are characterized by massive datasets. To keep up with experimental data demands, ecologists are forced to choose between continually upgrading expensive in-house computer hardware or outsourcing the most demanding computations to the cloud. Outsourcing is attractive since it is the least expensive option, but does not necessarily allow direct user interaction with the data for exploratory analysis. Desktop analytical tools such as ARB are indispensable for this purpose, but they do not necessarily offer a convenient solution for the coordination and integration of datasets between local and outsourced destinations. Therefore, researchers are currently left with an undesirable tradeoff between computational throughput and analytical capability. To mitigate this tradeoff we introduce a software package to leverage the utility of the interactive exploratory tools offered by ARB with the computational throughput of cloud-based resources. Our pipeline serves as middleware between the desktop and the cloud allowing researchers to form local custom databases containing sequences and metadata from multiple resources and a method for linking data outsourced for computation back to the local database. A tutorial implementation of the toolkit is provided in the supporting information, S1 Tutorial. Availability: http://www.ece.drexel.edu/gailr/EESI/tutorial.php. PMID:25607539
Jippes, Mariëlle; Driessen, Erik W; Broers, Nick J; Majoor, Gerard D; Gijselaers, Wim H; van der Vleuten, Cees P M
2013-09-01
Because successful change implementation depends on organizational readiness for change, the authors developed and assessed the validity of a questionnaire, based on a theoretical model of organizational readiness for change, designed to measure, specifically, a medical school's organizational readiness for curriculum change (MORC). In 2012, a panel of medical education experts judged and adapted a preliminary MORC questionnaire through a modified Delphi procedure. The authors administered the resulting questionnaire to medical school faculty involved in curriculum change and tested the psychometric properties using exploratory and confirmatory factor analysis, and generalizability analysis. The mean relevance score of the Delphi panel (n = 19) reached 4.2 on a five-point Likert-type scale (1 = not relevant and 5 = highly relevant) in the second round, meeting predefined criteria for completing the Delphi procedure. Faculty (n = 991) from 131 medical schools in 56 countries completed MORC. Exploratory factor analysis yielded three underlying factors-motivation, capability, and external pressure-in 12 subscales with 53 items. The scale structure suggested by exploratory factor analysis was confirmed by confirmatory factor analysis. Cronbach alpha ranged from 0.67 to 0.92 for the subscales. Generalizability analysis showed that the MORC results of 5 to 16 faculty members can reliably evaluate a school's organizational readiness for change. MORC is a valid, reliable questionnaire for measuring organizational readiness for curriculum change in medical schools. It can identify which elements in a change process require special attention so as to increase the chance of successful implementation.
Whole Air Sampling During NASA's March-April 1999 Pacific Exploratory Expedition (PEM-Tropics B)
NASA Technical Reports Server (NTRS)
Blake, Donald R.
2001-01-01
University of California, Irvine (UCI) collected more than 4500 samples whole air samples collected over the remote Pacific Ocean during NASA's Global Tropospheric Experiment (GTE) Pacific Exploratory Mission-Tropics B (PEM-Tropics B) in March and early April 1999. Approximately 140 samples during a typical 8-hour DC-8 flight, and 120 canisters for each 8-hour flight aboard the P-3B. These samples were obtained roughly every 3-7 min during horizontal flight legs and 1-3 min during vertical legs. The filled canisters were analyzed in the laboratory at UCI within ten days of collection. The mixing ratios of 58 trace gases comprising hydrocarbons, halocarbons, alkyl nitrates and DMS were reported (and archived) for each sample. Two identical analytical systems sharing the same standards were operated simultaneously around the clock to improve canister turn-around time and to keep our measurement precision optimal. This report presents a summary of the results for sample collected.
Navidpour, Fariba; Dolatian, Mahrokh; Shishehgar, Sara; Yaghmaei, Farideh; Majd, Hamid Alavi; Hashemi, Seyed Saeed
2016-10-01
Biological, environmental, inter- and intrapersonal changes during the antenatal period can result in anxiety and stress in pregnant women. It is pivotal to identify potential stressors and prevent their foetal and maternal consequences. The present study was conducted to validate and examine the factor structure of the Farsi version of the Pregnancy Worries and Stress Questionnaire (PWSQ). In 2015, 502 Iranian healthy pregnant women, referred to selected hospitals in Tehran for prenatal care at 8-39 weeks of pregnancy, were recruited through a randomized cluster sampling. The PWSQ was translated into Farsi, and its validity and reliability were examined using exploratory factor analysis by SPSS version 21. The content validity of items on the PWSQ was between 0.63-1. The content validity index for relevance, clarity and simplicity were 0.92, 0.98, and 0.98, respectively, with a mean of 0.94. The Kaiser-Meyer-Olkin measure of sampling adequacy was 0.863. Test-retest reliability showed high internal consistency (α=0.89; p<0.0001). The psychometric evaluation and exploratory factor analysis showed that the translated questionnaire is a valid and reliable tool to identify stress in Iranian pregnant women. Application of the questionnaire can facilitate the diagnosis of stress in pregnant women and assist health care providers in providing timely support and minimizing negative outcomes of stress and anxiety in pregnant women and their infants.
Moskoei, Sara; Mohtashami, Jamileh; Ghalenoeei, Mahdie; Nasiri, Maliheh; Tafreshi, Mansoreh Zaghari
2017-01-01
Introduction Evaluation of clinical competency in nurses has a distinct importance in healthcare due to its significant impact on improving the quality of patient care and creation of opportunities for professional promotion. This is a psychometric study for development of the “Clinical Competency of Mental Health Nursing”(CCMHN) rating scale. Methods In this methodological research that was conducted in 2015, in Tehran, Iran, the main items were developed after literature review and the validity and reliability of the tool were identified. The face, content (content validity ratio and content validity index) and construct validities were calculated. For face and content validity, experts’ comments were used. Exploratory factor analysis was used to determine the construct validity. The reliability of scale was determined by the internal consistency and inter-rater correlation. The collected data were analyzed by SPSS version 16, using descriptive statistical analysis. Results A scale with 45 items in two parts including Emotional/Moral and Specific Care competencies was developed. Content validity ratio and content validity index were 0.88, 0.97 respectively. Exploratory factor analysis indicated two factors: The first factor with 23.93 eigenvalue and second factor with eigenvalue 2.58. Cronbach’s alpha coefficient for determination of internal consistency was 0.98 and the ICC for confirmation inter-rater correlation was 0.98. Conclusion A scale with 45 items and two areas was developed with appropriate validity and reliability. This scale can be used to assess the clinical competency in nursing students and mental health nurses. PMID:28607650
Effect of Additional Incentives for Aviation Biofuels: Results from the Biomass Scenario Model
DOE Office of Scientific and Technical Information (OSTI.GOV)
Vimmerstedt, Laura J; Newes, Emily K
2017-12-05
The National Renewable Energy Laboratory supported the Department of Energy, Bioenergy Technologies Office, with analysis of alternative jet fuels in collaboration with the U.S. Department of Transportation, Federal Aviation Administration. Airlines for America requested additional exploratory scenarios within FAA analytic framework. Airlines for America requested additional analysis using the same analytic framework, the Biomass Scenario Model. The results were presented at a public working meeting of the California Air Resources Board on including alternative jet fuel in the Low Carbon Fuel Standard on March 17, 2017 (https://www.arb.ca.gov/fuels/lcfs/lcfs_meetings/lcfs_meetings.htm). This presentation clarifies and annotates the slides from the public working meeting, andmore » provides a link to the full data set. NREL does not advocate for or against the policies analyzed in this study.« less
Effect of Additional Incentives for Aviation Biofuels: Results from the Biomass Scenario Model
DOE Office of Scientific and Technical Information (OSTI.GOV)
Vimmerstedt, Laura J; Newes, Emily K
The National Renewable Energy Laboratory supported the Department of Energy, Bioenergy Technologies Office, with analysis of alternative jet fuels in collaboration with the U.S. Department of Transportation, Federal Aviation Administration. Airlines for America requested additional exploratory scenarios within FAA analytic framework. Airlines for America requested additional analysis using the same analytic framework, the Biomass Scenario Model. The results were presented at a public working meeting of the California Air Resources Board on including alternative jet fuel in the Low Carbon Fuel Standard on March 17, 2017 (https://www.arb.ca.gov/fuels/lcfs/lcfs_meetings/lcfs_meetings.htm). This presentation clarifies and annotates the slides from the public working meeting, andmore » provides a link to the full data set. NREL does not advocate for or against the policies analyzed in this study.« less
ERIC Educational Resources Information Center
Williams, John M.; Dunn, Patrick L.; Bast, Steve; Giesen, Judy
2006-01-01
The purpose of this study was to identify the factors that contributed to vocational rehabilitation assessment of earning capacity. Rehabilitation professionals who attended a national forensic rehabilitation conference were asked to rate the importance of 26 variables in development of opinions of earning capacity. Exploratory factor analysis…
ERIC Educational Resources Information Center
Hennessey, Maeghan N.; Terry, Robert; Martin, James E.; McConnell, Amber E.; Willis, Donna M.
2017-01-01
The researchers examined the theoretical factor structure fit and psychometric properties of the Transition Assessment and Goal Generator (TAGG). In the first study, 349 transition-aged students with disabilities, their special educators, and family members completed TAGG assessments, and using exploratory factor analysis (EFA)/confirmatory factor…
Teacher Professionalization: Motivational Factors and the Influence of Age
ERIC Educational Resources Information Center
Hildebrandt, Susan A.; Eom, Minhee
2011-01-01
This study examines motivational factors of teachers who have achieved a national standard of professionalization. Data were collected from National Board certified teachers in the United States (N = 453) using a two-part, web-based survey. Exploratory factor analysis found five motivators: improved teaching, financial gain, collaborative…
The Concerns about Counseling Racial Minority Clients Scale
ERIC Educational Resources Information Center
Wei, Meifen; Chao, Ruth Chu-Lien; Tsai, Pei-Chun; Botello-Zamarron, Raquel
2012-01-01
The purpose of this study was to develop and validate the Concerns about Counseling Racial Minority Clients (CCRMC) scale among counselor trainees. Sample 1 was used for an exploratory factor analysis and confirmatory factor analysis. Four factors were identified, Managing Cultural Differences ([alpha] = 0.82), Offending or Hurting Clients…
Factor Structure and Basic Psychometric Properties of the "Transition Assessment and Goal Generator"
ERIC Educational Resources Information Center
Hennessey, Maeghan N.; Terry, Robert; Martin, James E.; McConnell, Amber E.; Willis, Donna M.
2018-01-01
We examined the theoretical factor structure fit and psychometric properties of the "Transition Assessment and Goal Generator" (TAGG). In the first study, 349 transition-aged students with disabilities, their special educators, and family members completed TAGG assessments, and using exploratory factor analysis (EFA)/confirmatory factor…
Scale Development: Perceived Barriers to Public Use of School Recreational Facilities
ERIC Educational Resources Information Center
Spengler, John O.; Ko, Yong Jae; Connaughton, Daniel P.
2012-01-01
Objectives: To test an original scale assessing perceived barriers among school administrators to allowing community use of school recreational facilities outside of regular school hours. Methods: Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). Results: Using EFA and CFA, we found that a model including factors of…
Investigating the Structure of the WJ-III Cognitive at School Age
ERIC Educational Resources Information Center
Dombrowski, Stefan C.
2013-01-01
During its development, the Woodcock-Johnson, Third Edition Cognitive (WJ-III Cognitive; McGrew & Woodcock, 2001) was never subjected to structural analysis using exploratory and higher order factor analyses. Instead, confirmatory factor analyses were conducted on separate sets of WJ-III correlation matrices, yielding a seven-factor model…
Brown, Samantha M; Begun, Stephanie; Bender, Kimberly; Ferguson, Kristin M; Thompson, Sanna J
2015-10-01
The extent to which measures of coping adequately capture the ways that homeless youth cope with challenges, and the influence these coping styles have on mental health outcomes, is largely absent from the literature. This study tests the factor structure of the Coping Scale using Exploratory Factor Analysis (EFA) and then investigates the relationship between coping styles and depression using hierarchical logistic regression with data from 201 homeless youth. Results of the EFA indicate a 3-factor structure of coping, which includes active, avoidant, and social coping styles. Results of the hierarchical logistic regression show that homeless youth who engage in greater avoidant coping are at increased risk of meeting criteria for major depressive disorder. Findings provide insight into the utility of a preliminary tool for assessing homeless youths' coping styles. Such assessment may identify malleable risk factors that could be addressed by service providers to help prevent mental health problems.
Adofoli, Grace; Ullman, Sarah E.
2014-01-01
This exploratory study examined the relationships between religious factors, trauma histories and life satisfaction to alcohol-related outcomes in adult sexual assault survivors. A mail survey was administered to a community sample of African American survivors (N = 836) in the Chicago metropolitan area. Hierarchical regression analyses showed that for non-religious women, interpersonal trauma was related to greater frequency of heavy drinking. For moderately religious women, interpersonal and contextual traumas were related to more frequent heavy drinking. For highly religious women, religious coping was related to less frequent heavy drinking. Implications are drawn for research and treatment of female survivors. PMID:25530738
Murray, Aja Louise; Booth, Tom; Eisner, Manuel; Obsuth, Ingrid; Ribeaud, Denis
2018-05-22
Whether or not importance should be placed on an all-encompassing general factor of psychopathology (or p factor) in classifying, researching, diagnosing, and treating psychiatric disorders depends (among other issues) on the extent to which comorbidity is symptom-general rather than staying largely within the confines of narrower transdiagnostic factors such as internalizing and externalizing. In this study, we compared three methods of estimating p factor strength. We compared omega hierarchical and explained common variance calculated from confirmatory factor analysis (CFA) bifactor models with maximum likelihood (ML) estimation, from exploratory structural equation modeling/exploratory factor analysis models with a bifactor rotation, and from Bayesian structural equation modeling (BSEM) bifactor models. Our simulation results suggested that BSEM with small variance priors on secondary loadings might be the preferred option. However, CFA with ML also performed well provided secondary loadings were modeled. We provide two empirical examples of applying the three methodologies using a normative sample of youth (z-proso, n = 1,286) and a university counseling sample (n = 359).
Validation of the Center for Epidemiological Studies Depression Scale among Korean Adolescents.
Heo, Eun-Hye; Choi, Kyeong-Sook; Yu, Je-Chun; Nam, Ji-Ae
2018-02-01
The Center for Epidemiological Studies Depression Scale (CES-D) is designed to measure the current level of depressive symptomatology in the general population. However, no review has examined whether the scale is reliable and valid among children and adolescents in Korea. The purpose of this study was to test whether the Korean form of the CES-D is valid in adolescents. Data were obtained from 1,884 adolescents attending grades 1-3 in Korean middle schools. Reliability was evaluated by internal consistency (Cronbach's alpha). Concurrent validity was evaluated by a correlation analysis between the CES-D and other scales. Construct validity was evaluated by exploratory factor and confirmatory factor analyses. The internal consistency coefficient for the entire group was 0.88. The CES-D was positively correlated with scales that measure negative psychological constructs, such as the State Anxiety Inventory for Children, the Korean Social Anxiety Scale for Children and Adolescents, and the Reynold Suicidal Ideation Questionnaire, but it was negatively correlated with scales that measure positive psychological constructs, such as the Korean version of the Rosenberg Self-Esteem Scale and the Connor-Davidson Resilience Scale-2. The CES-D was examined by three-dimensional exploratory factor analysis, and the three-factor structure of the scale explained 53.165% of the total variance. The variance explained by factor I was 24.836%, that explained by factor II was 15.988%, and that explained by factor III was 12.341%. The construct validity of the CES-D was tested by confirmatory factor analysis, and we applied the entire group's data using a three-factor hierarchical model. The fit index showed a level similar to those of other countries' adolescent samples. The CES-D has high internal consistency and addresses psychological constructs similar to those addressed by other scales. The CES-D showed a three-factor structure in an exploratory factor analysis. The present findings suggest that the CES-D is a useful and reliable tool for measuring depression in Korean adolescents.
ERIC Educational Resources Information Center
Estabrook, Ryne; Neale, Michael
2013-01-01
Factor score estimation is a controversial topic in psychometrics, and the estimation of factor scores from exploratory factor models has historically received a great deal of attention. However, both confirmatory factor models and the existence of missing data have generally been ignored in this debate. This article presents a simulation study…
ERIC Educational Resources Information Center
Villodas, Feion; Villodas, Miguel T.; Roesch, Scott
2011-01-01
The psychometric properties of the Positive and Negative Affect Schedule were examined in a multiethnic sample of adolescents. Results from confirmatory factor analyses indicated that the original two-factor model did not adequately fit the data. Exploratory factor analyses revealed that four items were not pure markers of the factors. (Contains 1…
Maldonado, Karin; van Dongen, Wouter F D; Vásquez, Rodrigo A; Sabat, Pablo
2012-01-01
Increasing research has attempted to clarify the links between animal personality and physiology. However, the mechanisms driving this association remain largely unknown, and knowledge of how ecological factors may affect its direction and strength is scant. In this study, we quantified variation in the association between exploratory behavior, basal metabolic rate (BMR), and total evaporative water loss (TEWL) in rufous-collared sparrows (Zonotrichia capensis) inhabiting desert, Mediterranean, and cold-temperate climates. We found that the exploratory behavior score was highest in birds from the cold-temperate site, which was characterized by a moderate level of ecological variability (seasonality). Moreover, the association between exploratory behavior and physiological variables differed among localities. Only birds from the Mediterranean site showed a positive correlation between exploratory behavior and BMR. We found no association between exploration and TEWL at any study site. Our findings suggest that differences in the ecological conditions experienced by each sparrow population result in a particular combination of behavioral and physiological traits. An understanding of this intraspecific variation along ecological gradients provides unique insights into how specific ecological conditions affect the coupling of behavioral and physiological traits and the mechanisms underlying that relationship.
Cognitive Style Index: Further Investigation of the Factor Structure with an American Student Sample
ERIC Educational Resources Information Center
Backhaus, Kristin; Liff, Joshua P.
2007-01-01
The present study investigates the factor structure of the Cognitive Style Index (CSI), comparing the unitary, bipolar continuum of intuition-analysis, the theory upon which the CSI is predicated, with the two-factor theory of cognitive style. We conducted both confirmatory and exploratory factor analyses on data from a sample of 222 American…
On the Factor Structure of a Reading Comprehension Test
ERIC Educational Resources Information Center
Salehi, Mohammad
2011-01-01
To investigate the construct validly of a section of a high stakes test, an exploratory factor analysis using principal components analysis was employed. The rotation used was varimax with the suppression level of 0.30. Eleven factors were extracted out of 35 reading comprehension items. The fact that these factors emerged speak to the construct…
ERIC Educational Resources Information Center
Kim, Boyoung; Zyromski, Brett; Mariani, Melissa; Lee, Sang Min; Carey, John C.
2017-01-01
The Junior Metacognitive Awareness Inventory is a student self-report scale developed to correspond to a two-factor model of metacognition. Exploratory (N = 1,783) and confirmatory factor analysis (N = 942) were conducted using data from students in Grades 6 through 12 with results supporting two underlying factors corresponding to Knowledge and…
Understanding Older Adults' Perceptions of Internet Use: An Exploratory Factor Analysis
ERIC Educational Resources Information Center
Zheng, Robert; Spears, Jeffrey; Luptak, Marilyn; Wilby, Frances
2015-01-01
The current study examined factors related to older adults' perceptions of Internet use. Three hundred ninety five older adults participated in the study. The factor analysis revealed four factors perceived by older adults as critical to their Internet use: social connection, self-efficacy, the need to seek financial information, and the need to…
Factor Analysis of Drawings: Application to College Student Models of the Greenhouse Effect
ERIC Educational Resources Information Center
Libarkin, Julie C.; Thomas, Stephen R.; Ording, Gabriel
2015-01-01
Exploratory factor analysis was used to identify models underlying drawings of the greenhouse effect made by over 200 entering university freshmen. Initial content analysis allowed deconstruction of drawings into salient features, with grouping of these features via factor analysis. A resulting 4-factor solution explains 62% of the data variance,…
ERIC Educational Resources Information Center
Bonastre, Carolina; Muñoz, Enrique; Timmers, Renee
2017-01-01
This work aimed to analyse factors related to conceptions and beliefs about expressivity in music among students and teachers. A questionnaire with 11 Likert-type items was developed covering the main factors included in the literature of teaching-learning of expressivity and emotion in music. Through exploratory factor analysis three factors were…
NASA Astrophysics Data System (ADS)
Morton, A.; Stewart, R.; Held, E.; Piburn, J.; Allen, M. R.; McManamay, R.; Sanyal, J.; Sorokine, A.; Bhaduri, B. L.
2017-12-01
Spatiotemporal (ST) analytics applied to major spatio-temporal data sources from major vendors such as USGS, NOAA, World Bank and World Health Organization have tremendous value in shedding light on the evolution of physical, cultural, and geopolitical landscapes on a local and global level. Especially powerful is the integration of these physical and cultural datasets across multiple and disparate formats, facilitating new interdisciplinary analytics and insights. Realizing this potential first requires an ST data model that addresses challenges in properly merging data from multiple authors, with evolving ontological perspectives, semantical differences, changing attributes, and content that is textual, numeric, categorical, and hierarchical. Equally challenging is the development of analytical and visualization approaches that provide a serious exploration of this integrated data while remaining accessible to practitioners with varied backgrounds. The WSTAMP project at the Oak Ridge National Laboratory has yielded two major results in addressing these challenges: 1) development of the WSTAMP database, a significant advance in ST data modeling that integrates 16000+ attributes covering 200+ countries for over 50 years from over 30 major sources and 2) a novel online ST exploratory and analysis tool providing an array of modern statistical and visualization techniques for analyzing these data temporally, spatially, and spatiotemporally under a standard analytic workflow. We report on these advances, provide an illustrative case study, and inform how others may freely access the tool.
Tunneling-assisted transport of carriers through heterojunctions.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Wampler, William R.; Myers, Samuel M.; Modine, Normand A.
The formulation of carrier transport through heterojunctions by tunneling and thermionic emission is derived from first principles. The treatment of tunneling is discussed at three levels of approximation: numerical solution of the one-band envelope equation for an arbitrarily specified potential profile; the WKB approximation for an arbitrary potential; and, an analytic formulation assuming constant internal field. The effects of spatially varying carrier chemical potentials over tunneling distances are included. Illustrative computational results are presented. The described approach is used in exploratory physics models of irradiated heterojunction bipolar transistors within Sandia's QASPR program.
Exploratory Study of Factors Influencing Job-Related Stress in Japanese Psychiatric Nurses
Yada, Hironori; Lu, Xi; Omori, Hisamitsu; Abe, Hiroshi; Matsuo, Hisae; Ishida, Yasushi; Katoh, Takahiko
2015-01-01
This study explored the factor structure of psychiatric nurses' job-related stress and examined the specificity of the related stressors using the job stressor scale of the Brief Job Stress Questionnaire (BJSQ). The stressor scale of the BJSQ was administered to 296 nurses and assistant nurses. Answers were examined statistically. Exploratory factor analysis was performed to identify factor structures; two factors (overload and job environment) were valid. Confirmatory factor analysis was conducted to examine the two-factor structure and found 11 items with factor loadings of >0.40 (model 1), 13 items with factor loadings from 0.30 to <0.40 (model 2), and 17 items with factor loadings from 0.20 to <0.30 (model 3) for one factor; model 1 demonstrated the highest goodness of fit. Then, we observed that the two-factor structure (model 1) showed a higher goodness of fit than the original six-factor structure. This differed from subscales based on general workers' job-related stressors, suggesting that the factor structure of psychiatric nurses' job-related stressors is specific. Further steps may be necessary to reduce job-related stress specifically related to overload including attention to many needs of patients and job environment including complex ethical dilemmas in psychiatric nursing. PMID:25922763
Exploratory study of factors influencing job-related stress in Japanese psychiatric nurses.
Yada, Hironori; Lu, Xi; Omori, Hisamitsu; Abe, Hiroshi; Matsuo, Hisae; Ishida, Yasushi; Katoh, Takahiko
2015-01-01
This study explored the factor structure of psychiatric nurses' job-related stress and examined the specificity of the related stressors using the job stressor scale of the Brief Job Stress Questionnaire (BJSQ). The stressor scale of the BJSQ was administered to 296 nurses and assistant nurses. Answers were examined statistically. Exploratory factor analysis was performed to identify factor structures; two factors (overload and job environment) were valid. Confirmatory factor analysis was conducted to examine the two-factor structure and found 11 items with factor loadings of >0.40 (model 1), 13 items with factor loadings from 0.30 to <0.40 (model 2), and 17 items with factor loadings from 0.20 to <0.30 (model 3) for one factor; model 1 demonstrated the highest goodness of fit. Then, we observed that the two-factor structure (model 1) showed a higher goodness of fit than the original six-factor structure. This differed from subscales based on general workers' job-related stressors, suggesting that the factor structure of psychiatric nurses' job-related stressors is specific. Further steps may be necessary to reduce job-related stress specifically related to overload including attention to many needs of patients and job environment including complex ethical dilemmas in psychiatric nursing.
Identifying Items to Assess Methodological Quality in Physical Therapy Trials: A Factor Analysis
Cummings, Greta G.; Fuentes, Jorge; Saltaji, Humam; Ha, Christine; Chisholm, Annabritt; Pasichnyk, Dion; Rogers, Todd
2014-01-01
Background Numerous tools and individual items have been proposed to assess the methodological quality of randomized controlled trials (RCTs). The frequency of use of these items varies according to health area, which suggests a lack of agreement regarding their relevance to trial quality or risk of bias. Objective The objectives of this study were: (1) to identify the underlying component structure of items and (2) to determine relevant items to evaluate the quality and risk of bias of trials in physical therapy by using an exploratory factor analysis (EFA). Design A methodological research design was used, and an EFA was performed. Methods Randomized controlled trials used for this study were randomly selected from searches of the Cochrane Database of Systematic Reviews. Two reviewers used 45 items gathered from 7 different quality tools to assess the methodological quality of the RCTs. An exploratory factor analysis was conducted using the principal axis factoring (PAF) method followed by varimax rotation. Results Principal axis factoring identified 34 items loaded on 9 common factors: (1) selection bias; (2) performance and detection bias; (3) eligibility, intervention details, and description of outcome measures; (4) psychometric properties of the main outcome; (5) contamination and adherence to treatment; (6) attrition bias; (7) data analysis; (8) sample size; and (9) control and placebo adequacy. Limitation Because of the exploratory nature of the results, a confirmatory factor analysis is needed to validate this model. Conclusions To the authors' knowledge, this is the first factor analysis to explore the underlying component items used to evaluate the methodological quality or risk of bias of RCTs in physical therapy. The items and factors represent a starting point for evaluating the methodological quality and risk of bias in physical therapy trials. Empirical evidence of the association among these items with treatment effects and a confirmatory factor analysis of these results are needed to validate these items. PMID:24786942
Identifying items to assess methodological quality in physical therapy trials: a factor analysis.
Armijo-Olivo, Susan; Cummings, Greta G; Fuentes, Jorge; Saltaji, Humam; Ha, Christine; Chisholm, Annabritt; Pasichnyk, Dion; Rogers, Todd
2014-09-01
Numerous tools and individual items have been proposed to assess the methodological quality of randomized controlled trials (RCTs). The frequency of use of these items varies according to health area, which suggests a lack of agreement regarding their relevance to trial quality or risk of bias. The objectives of this study were: (1) to identify the underlying component structure of items and (2) to determine relevant items to evaluate the quality and risk of bias of trials in physical therapy by using an exploratory factor analysis (EFA). A methodological research design was used, and an EFA was performed. Randomized controlled trials used for this study were randomly selected from searches of the Cochrane Database of Systematic Reviews. Two reviewers used 45 items gathered from 7 different quality tools to assess the methodological quality of the RCTs. An exploratory factor analysis was conducted using the principal axis factoring (PAF) method followed by varimax rotation. Principal axis factoring identified 34 items loaded on 9 common factors: (1) selection bias; (2) performance and detection bias; (3) eligibility, intervention details, and description of outcome measures; (4) psychometric properties of the main outcome; (5) contamination and adherence to treatment; (6) attrition bias; (7) data analysis; (8) sample size; and (9) control and placebo adequacy. Because of the exploratory nature of the results, a confirmatory factor analysis is needed to validate this model. To the authors' knowledge, this is the first factor analysis to explore the underlying component items used to evaluate the methodological quality or risk of bias of RCTs in physical therapy. The items and factors represent a starting point for evaluating the methodological quality and risk of bias in physical therapy trials. Empirical evidence of the association among these items with treatment effects and a confirmatory factor analysis of these results are needed to validate these items. © 2014 American Physical Therapy Association.
The Psychometric Structure of Items Assessing Autogynephilia.
Hsu, Kevin J; Rosenthal, A M; Bailey, J Michael
2015-07-01
Autogynephilia, or paraphilic sexual arousal in a man to the thought or image of himself as a woman, manifests in a variety of different behaviors and fantasies. We examined the psychometric structure of 22 items assessing five known types of autogynephilia by subjecting them to exploratory factor analysis in a sample of 149 autogynephilic men. Results of oblique factor analyses supported the ability to distinguish five group factors with suitable items. Results of hierarchical factor analyses suggest that the five group factors were strongly underlain by a general factor of autogynephilia. Because the general factor accounted for a much greater amount of the total variance of the 22 items than did the group factors, the types of autogynephilia that a man has seem less important than the degree to which he has autogynephilia. However, the five types of autogynephilia remain conceptually useful because meaningful distinctions were found among them, including differential rates of endorsement and differential ability to predict other relevant variables like gender dysphoria. Factor-derived scales and subscales demonstrated good internal consistency reliabilities, and validity, with large differences found between autogynephilic men and heterosexual male controls. Future research should attempt to replicate our findings, which were mostly exploratory.
Factors affecting construction performance: exploratory factor analysis
NASA Astrophysics Data System (ADS)
Soewin, E.; Chinda, T.
2018-04-01
The present work attempts to develop a multidimensional performance evaluation framework for a construction company by considering all relevant measures of performance. Based on the previous studies, this study hypothesizes nine key factors, with a total of 57 associated items. The hypothesized factors, with their associated items, are then used to develop questionnaire survey to gather data. The exploratory factor analysis (EFA) was applied to the collected data which gave rise 10 factors with 57 items affecting construction performance. The findings further reveal that the items constituting ten key performance factors (KPIs) namely; 1) Time, 2) Cost, 3) Quality, 4) Safety & Health, 5) Internal Stakeholder, 6) External Stakeholder, 7) Client Satisfaction, 8) Financial Performance, 9) Environment, and 10) Information, Technology & Innovation. The analysis helps to develop multi-dimensional performance evaluation framework for an effective measurement of the construction performance. The 10 key performance factors can be broadly categorized into economic aspect, social aspect, environmental aspect, and technology aspects. It is important to understand a multi-dimension performance evaluation framework by including all key factors affecting the construction performance of a company, so that the management level can effectively plan to implement an effective performance development plan to match with the mission and vision of the company.
Kubota, Chika; Okada, Takashi; Aleksic, Branko; Nakamura, Yukako; Kunimoto, Shohko; Morikawa, Mako; Shiino, Tomoko; Tamaji, Ai; Ohoka, Harue; Banno, Naomi; Morita, Tokiko; Murase, Satomi; Goto, Setsuko; Kanai, Atsuko; Masuda, Tomoko; Ando, Masahiko; Ozaki, Norio
2014-01-01
The Edinburgh Postnatal Depression Scale (EPDS) is a widely used screening tool for postpartum depression (PPD). Although the reliability and validity of EPDS in Japanese has been confirmed and the prevalence of PPD is found to be about the same as Western countries, the factor structure of the Japanese version of EPDS has not been elucidated yet. 690 Japanese mothers completed all items of the EPDS at 1 month postpartum. We divided them randomly into two sample sets. The first sample set (n = 345) was used for exploratory factor analysis, and the second sample set was used (n = 345) for confirmatory factor analysis. The result of exploratory factor analysis indicated a three-factor model consisting of anxiety, depression and anhedonia. The results of confirmatory factor analysis suggested that the anxiety and anhedonia factors existed for EPDS in a sample of Japanese women at 1 month postpartum. The depression factor varies by the models of acceptable fit. We examined EPDS scores. As a result, "anxiety" and "anhedonia" exist for EPDS among postpartum women in Japan as already reported in Western countries. Cross-cultural research is needed for future research.
Warwick, Peter D.; Breland, F. Clayton; Hackley, Paul C.; Dulong, Frank T.; Nichols, Douglas J.; Karlsen, Alexander W.; Bustin, R. Marc; Barker, Charles E.; Willett, Jason C.; Trippi, Michael H.
2006-01-01
In 2001, and 2002, the U.S. Geological Survey (USGS) and the Louisiana Geological Survey (LGS), through a Cooperative Research and Development Agreement (CRADA) with Devon SFS Operating, Inc. (Devon), participated in an exploratory drilling and coring program for coal-bed methane in north-central Louisiana. The USGS and LGS collected 25 coal core and cuttings samples from two coal-bed methane test wells that were drilled in west-central Caldwell Parish, Louisiana. The purpose of this report is to provide the results of the analytical program conducted on the USGS/LGS samples. The data generated from this project are summarized in various topical sections that include: 1. molecular and isotopic data from coal gas samples; 2. results of low-temperature ashing and X-ray analysis; 3. palynological data; 4. down-hole temperature data; 5. detailed core descriptions and selected core photographs; 6. coal physical and chemical analytical data; 7. coal gas desorption results; 8. methane and carbon dioxide coal sorption data; 9. coal petrographic results; and 10. geophysical logs.
Viangteeravat, Teeradache; Nagisetty, Naga Satya V Rao
2014-01-01
Secondary use of large and open data sets provides researchers with an opportunity to address high-impact questions that would otherwise be prohibitively expensive and time consuming to study. Despite the availability of data, generating hypotheses from huge data sets is often challenging, and the lack of complex analysis of data might lead to weak hypotheses. To overcome these issues and to assist researchers in building hypotheses from raw data, we are working on a visual and analytical platform called PRD Pivot. PRD Pivot is a de-identified pediatric research database designed to make secondary use of rich data sources, such as the electronic health record (EHR). The development of visual analytics using Microsoft Live Labs Pivot makes the process of data elaboration, information gathering, knowledge generation, and complex information exploration transparent to tool users and provides researchers with the ability to sort and filter by various criteria, which can lead to strong, novel hypotheses.
Large-scale retrieval for medical image analytics: A comprehensive review.
Li, Zhongyu; Zhang, Xiaofan; Müller, Henning; Zhang, Shaoting
2018-01-01
Over the past decades, medical image analytics was greatly facilitated by the explosion of digital imaging techniques, where huge amounts of medical images were produced with ever-increasing quality and diversity. However, conventional methods for analyzing medical images have achieved limited success, as they are not capable to tackle the huge amount of image data. In this paper, we review state-of-the-art approaches for large-scale medical image analysis, which are mainly based on recent advances in computer vision, machine learning and information retrieval. Specifically, we first present the general pipeline of large-scale retrieval, summarize the challenges/opportunities of medical image analytics on a large-scale. Then, we provide a comprehensive review of algorithms and techniques relevant to major processes in the pipeline, including feature representation, feature indexing, searching, etc. On the basis of existing work, we introduce the evaluation protocols and multiple applications of large-scale medical image retrieval, with a variety of exploratory and diagnostic scenarios. Finally, we discuss future directions of large-scale retrieval, which can further improve the performance of medical image analysis. Copyright © 2017 Elsevier B.V. All rights reserved.
Towards Personalized Medicine: Leveraging Patient Similarity and Drug Similarity Analytics
Zhang, Ping; Wang, Fei; Hu, Jianying; Sorrentino, Robert
2014-01-01
The rapid adoption of electronic health records (EHR) provides a comprehensive source for exploratory and predictive analytic to support clinical decision-making. In this paper, we investigate how to utilize EHR to tailor treatments to individual patients based on their likelihood to respond to a therapy. We construct a heterogeneous graph which includes two domains (patients and drugs) and encodes three relationships (patient similarity, drug similarity, and patient-drug prior associations). We describe a novel approach for performing a label propagation procedure to spread the label information representing the effectiveness of different drugs for different patients over this heterogeneous graph. The proposed method has been applied on a real-world EHR dataset to help identify personalized treatments for hypercholesterolemia. The experimental results demonstrate the effectiveness of the approach and suggest that the combination of appropriate patient similarity and drug similarity analytics could lead to actionable insights for personalized medicine. Particularly, by leveraging drug similarity in combination with patient similarity, our method could perform well even on new or rarely used drugs for which there are few records of known past performance. PMID:25717413
Viangteeravat, Teeradache; Nagisetty, Naga Satya V. Rao
2014-01-01
Secondary use of large and open data sets provides researchers with an opportunity to address high-impact questions that would otherwise be prohibitively expensive and time consuming to study. Despite the availability of data, generating hypotheses from huge data sets is often challenging, and the lack of complex analysis of data might lead to weak hypotheses. To overcome these issues and to assist researchers in building hypotheses from raw data, we are working on a visual and analytical platform called PRD Pivot. PRD Pivot is a de-identified pediatric research database designed to make secondary use of rich data sources, such as the electronic health record (EHR). The development of visual analytics using Microsoft Live Labs Pivot makes the process of data elaboration, information gathering, knowledge generation, and complex information exploration transparent to tool users and provides researchers with the ability to sort and filter by various criteria, which can lead to strong, novel hypotheses. PMID:24808811
Oh, Juyeon; Kim, Jung A
2018-02-01
The Zarit Burden Interview has been used in many studies to assess caregiver burden in family caregivers of patients with amyotrophic lateral sclerosis, but the factor structure of the Zarit Burden Interview in the caregivers of amyotrophic lateral sclerosis patients is unknown. The aim of this study was to explore the factor structure of the Zarit Burden Interview in family caregivers of amyotrophic lateral sclerosis patients using exploratory factor analysis. The exploratory factor analysis was performed using generalized least squares with oblique rotation in a sample of 202 family caregivers. Three factors had an eigenvalue greater than 1 and accounted for 60.33% of the total variance. The three factors were named as follows: (factor 1) "Social restrictions" (items 2, 3, and 10-15); (factor 2) "Self-criticism" (items 20-21); and (factor 3) "Anger and frustration" (items 1, 4-6, 9, and 16-19). The correlation between factors 1 and 3 was much higher (r = 0.79) than that between factors 1 and 2 (r = 0.14) or factors 2 and 3 (r = 0.15). The findings of this study enriched our understanding of several meaningful dimensions of the caregiving burden in caregivers of an amyotrophic lateral sclerosis population and provided opportunities for future intervention.
Managerial Success Factors: A Chinese Profile
ERIC Educational Resources Information Center
Stivers, Bonnie P.; Adams, Janet S.; Liu, Bin
2007-01-01
This article reports on an exploratory study conducted in the People's Republic of China (PRC) to identify the managerial success factors perceived by Chinese managers to be important in their market economy. The study also looked at how these factors are exhibited by recent graduates of Chinese universities now working in Chinese firms.…
Rotation in the Dynamic Factor Modeling of Multivariate Stationary Time Series.
ERIC Educational Resources Information Center
Molenaar, Peter C. M.; Nesselroade, John R.
2001-01-01
Proposes a special rotation procedure for the exploratory dynamic factor model for stationary multivariate time series. The rotation procedure applies separately to each univariate component series of a q-variate latent factor series and transforms such a component, initially represented as white noise, into a univariate moving-average.…
Are There Stable Factors in Preadolescent Girls' Externalizing Behaviors?
ERIC Educational Resources Information Center
Loeber, Rolf; Pardini, Dustin A.; Hipwell, Alison; Stouthamer-Loeber, Magda; Keenan, Kate; Sembower, Mark A.
2009-01-01
Relatively little is known about the factor structure of disruptive behavior among preadolescent girls. The present study reports on exploratory and confirmatory factor analyses of disruptive girl behavior over four successive data waves as rated by parents and teachers in a large, representative community sample of girls (N = 2,451). Five factors…
The Self-Report Family Inventory: An Exploratory Factor Analysis
ERIC Educational Resources Information Center
Goodrich, Kristopher M.; Selig, James P.; Trahan, Don P., Jr.
2012-01-01
Researchers explored the factor structure of the Self-Report Family Inventory with a sample of heterosexual parents who have a son or daughter who self-identifies as lesbian, gay, or bisexual. Results suggest that a two-factor solution is appropriate. Research and clinical implications are offered. (Contains 1 figure and 2 tables.)
ERIC Educational Resources Information Center
Nelson, Jason M.; Canivez, Gary L.; Lindstrom, Will; Hatt, Clifford V.
2007-01-01
The factor structure of the Reynolds Intellectual Assessment Scales (RIAS; [Reynolds, C.R., & Kamphaus, R.W. (2003). "Reynolds Intellectual Assessment Scales". Lutz, FL: Psychological Assessment Resources, Inc.]) was investigated with a large (N=1163) independent sample of referred students (ages 6-18). More rigorous factor extraction criteria…
Students' Perspectives on University Experiences; The Role of Protective Factors in Students' Lives
ERIC Educational Resources Information Center
Jdaitawi, Malek; Maya-Panorama; Nawafleh, Ahmad; Nabrawi, Ismaeel; Talafha, Feras; Mohd, Amani
2013-01-01
This study examined the relationship between protective factors and students' university experiences among 289 first year university students. The study made use of exploratory and confirmatory factor analyses to reveal initial support for the research variables. In addition, path analysis was utilized to investigate the relationship among the…
ERIC Educational Resources Information Center
Macmann, Gregg M.; Barnett, David W.
1994-01-01
Describes exploratory and confirmatory analyses of verbal-performance procedures to illustrate concepts and procedures for analysis of correlated factors. Argues that, based on convergent and discriminant validity criteria, factors should have higher correlations with variables that they purport to measure than with other variables. Discusses…
ERIC Educational Resources Information Center
Anderson, Ross C.; Pitts, Christine; Smolkowski, Keith
2017-01-01
This study examines measurement of creative ideational behaviors alongside factors of student engagement that may play a role in the development of students' creative potential during early adolescence in school. Two studies used exploratory and confirmatory factor analyses, cross-validation, and invariance testing of 2 extant measures with…
The Psychometric Properties of the School Engagement Measure in Adolescents in Singapore
ERIC Educational Resources Information Center
Yusof, Noradlin; Ang, Rebecca P.; Oei, Tian Po S.
2017-01-01
This study examined the psychometric properties of the school engagement measure (SEM) in Singapore. The sample consisted of 1,027 students from a multi-ethnic Singapore adolescent community. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) confirmed that the two-factor solution, namely, (a) Emotional and (b) Cognitive…
ERIC Educational Resources Information Center
Feldt, Ronald C.; Graham, Melody; Dew, Dennis
2011-01-01
This study employed confirmatory factor analysis to examine the quality of fit of two measurement models of the Student Adaptation to College Questionnaire (N = 305). Following the observation of poor fit, exploratory factor analysis was used. Results indicated six factors that account for the variance in Student Adaptation to College…
Environmental Factors of Distance Learning: An Exploratory Study
ERIC Educational Resources Information Center
Klaus, Tim; Changchit, Chuleeporn
2014-01-01
The widespread use of the Internet has opened new avenues for learning in higher education. Distance education through the Internet has had a large increase over the last decade. This study focuses on examining factors of the online course environment that affect student satisfaction. The results identify factors that affect students' satisfaction…
Psychometric Evaluation of Data from the Race-Related Events Scale
ERIC Educational Resources Information Center
Crusto, Cindy A.; Dantzler, John; Roberts, Yvonne Humenay; Hooper, Lisa M.
2015-01-01
Using exploratory factor analysis, we examined the factor structure of data collected from the Race-Related Events Scale, which assesses perceived exposure to race-related stress. Our sample (N = 201) consisted of diverse caregivers of Head Start preschoolers. Three factors explained 81% of the variance in the data and showed sound reliability.
Arias, Víctor B; Ponce, Fernando P; Martínez-Molina, Agustín; Arias, Benito; Núñez, Daniel
2016-01-01
We tested first-order factor and bifactor models of attention-deficit/hyperactivity disorder (ADHD) using confirmatory factor analysis (CFA) and exploratory structural equation modeling (ESEM) to adequately summarize the Diagnostic and Statistical Manual of Mental Disorders, 4th Edition, (DSM-IV-TR) symptoms observed in a Spanish sample of preschoolers and kindergarteners. Six ESEM and CFA models were estimated based on teacher evaluations of the behavior of 638 children 4 to 6 years of age. An ESEM bifactor model with a central dimension plus 3 specific factors (inattention, hyperactivity, and impulsivity) showed the best fit and interpretability. Strict invariance between the sexes was observed. The bifactor model provided a solution to previously encountered inconsistencies in the factorial models of ADHD in young children. However, the low reliability of the specific factors casts doubt on the utility of the subscales for ADHD measurement. More research is necessary to clarify the nature of G and S factors of ADHD. (c) 2016 APA, all rights reserved.
Psychometric evaluation of the Dutch version of the Subjective Opiate Withdrawal Scale (SOWS).
Dijkstra, Boukje A G; Krabbe, Paul F M; Riezebos, Truus G M; van der Staak, Cees P F; De Jong, Cor A J
2007-01-01
To evaluate the psychometric properties of the Dutch version of the 16-item Subjective Opiate Withdrawal Scale (SOWS). The SOWS measures withdrawal symptoms at the time of assessment. The Dutch SOWS was repeatedly administered to a sample of 272 opioid-dependent inpatients of four addiction treatment centers during rapid detoxification with or without general anesthesia. Examination of the psychometric properties of the SOWS included exploratory factor analysis, internal consistency, test-retest reliability, and criterion validity. Exploratory factor analysis of the SOWS revealed a general pattern of four factors with three items not always clustered in the same factors at different points of measurement. After excluding these items from factor analysis four factors were identified during detoxification (temperature dysregulation, tractus locomotorius, tractus gastro-intestinalis and facial disinhibition). The 13-item SOWS shows high internal consistency and test-retest reliability and good validity at different stages of withdrawal. The 13-item SOWS is a reliable and valid instrument to assess opioid withdrawal during rapid detoxification. Three items were deleted because their content does not correspond directly with opioid withdrawal symptoms. Copyright (c) 2007 S. Karger AG, Basel.
Alotaibi, Khaled N
2016-06-01
This study examined the psychometric properties of the Arabic version of Abbott's Creative Self-Efficacy inventory. Saudi honors students (157 men vs. 163 women) participated. These students are undergraduates (M age = 19.5 year, SD = 1.9) who complete 30 credit hours with a grade point average of no less than 4.5 out of 5. The results showed that the internal consistency (α = .87) and the test-retest reliabilities (r = .73) were satisfactory. The study sample was separated into two subsamples. The data from the first subsample (n = 60) were used to conduct an exploratory factor analysis, whereas the data from the second subsample (n = 260) were used to perform a confirmatory factor analysis. The results of exploratory factor analysis and confirmatory factor analysis indicated that creative self-efficacy was not a unidimensional construct but consisted of two factors labeled "creative thinking self-efficacy" and "creative performance self-efficacy." As expected, this two-factor model fit the data adequately, supporting prior research that treated creative self-efficacy as multidimensional construct. © The Author(s) 2016.
NASA Astrophysics Data System (ADS)
Almendros, Gonzalo; Gonzalez-Vila, Francisco J.; Gonzalez-Perez, Jose Antonio; Knicker, Heike
2016-04-01
The functional relationships between the macromolecular structure of the humic substances (HS) and a series of biogeochemical processes related with the C sequestration performance in soils have been recently questioned. In this communication we collect recent data from a wide array of different ecosystems where the C storage in soils has been studied and explained as a possible cause-to-effect relationship or has been found significantly correlated (multivariate statistical models) with a series of structural characteristics of humic materials. The study of humic materials has methodological analytical limitations that are derived from its complex, chaotic and not completely understood structure, that reflects its manifold precursors as well as the local impact of environmental/depositional factors. In this work we attempt to design an exploratory, multiomic approach based on the information provided by the molecular characterization of the soil organic matter (SOM). Massive data harvesting was carried out of statistical variables, to infer biogeochemical proxies (spectroscopic, chromatographic, mass spectrometric quantitative descriptors). The experimental data were acquired from advanced instrumental methodologies, viz, analytical pyrolysis, compound-specific stable isotope analysis (CSIA), derivative infrared (FTIR) spectroscopy, solid-state C-13 and N-15 nuclear magnetic resonance (NMR) and mass spectrometry (MS) data after direct injection (thermoevaporation), previous pyrolysis, or ion averaging of specific m/z ranges from classical GC/MS chromatograms. In the transversal exploratory analysis of the multianalytical information, the data were coded for on-line processing in a stage in which there is no need for interpretation, in molecular or structural terms, of the quantitative data consisting of e.g., peak intensities, signal areas, chromatographic (GC) total abundances, etc. A series of forecasting chemometric approaches (aiming to express SOM biodegradability, or soil C resilience as a function of intrinsic molecular characteristics of the SOM) were especially successful in the case of: a) linear multiple regression models (LMR) with automatic backward variable selection, b) supervised removal of internal redundancy of the variables based on multidimensional scaling (MDS), and c) partial least squares (PLS) regression to obtain the variable importance for projection (VIP) which is useful to identify new environmental proxies. At least the results obtained from differing continental Mediterranean soils showed that a large influence of local (soil-dependant) abiotic factors in the final variance (of the total soil C quality and quantity) was explained by the SOM molecular structure. This conclusion is relevant as regards the recent (in our opinion hermeneutic and speculative) controversy disregarding the importance of the structural features of HS in biogeochemical and environmental processes controlling C sequestration in soils.
School Counselors' Experiential Training in Group Work
ERIC Educational Resources Information Center
Bore, Samuel K.; Armstrong, Stephen A.; Womack, Ashley
2010-01-01
School counselors' perceptions of the efficacy and satisfaction of their experiential training in group work were investigated. An exploratory factor analysis (n = 304) revealed four salient factors: leader characteristics, leader responsibilities, child/adolescent group leadership and adult group leadership. A majority of participants indicated…
Psychometric Evaluation of the Ford Insomnia Response to Stress Test (FIRST) in Early Pregnancy.
Gelaye, Bizu; Zhong, Qiu-Yue; Barrios, Yasmin V; Redline, Susan; Drake, Christopher L; Williams, Michelle A
2016-04-15
To evaluate the construct validity and factor structure of the Spanish-language version of the Ford Insomnia Response to Stress Test questionnaire (FIRST-S) when used in early pregnancy. A cohort of 647 women were interviewed at ≤ 16 weeks of gestation to collect information regarding lifestyle, demographic, and sleep characteristics. The factorial structure of the FIRST-S was tested through exploratory and confirmatory factor analyses (EFA and CFA). Internal consistency and construct validity were also assessed by evaluating the association between the FIRST-S with symptoms of depression, anxiety, and sleep quality. Item response theory (IRT) analyses were conducted to complement classical test theory (CTT) analytic approaches. The mean score of the FIRST-S was 13.8 (range: 9-33). The results of the EFA showed that the FIRST-S contained a one-factor solution that accounted for 69.8% of the variance. The FIRST-S items showed good internal consistency (Cronbach α = 0.81). CFA results corroborated the one-factor structure finding from the EFA; and yielded measures indicating goodness of fit (comparative fit index of 0.902) and accuracy (root mean square error of approximation of 0.057). The FIRST-S had good construct validity as demonstrated by statistically significant associations of FIRST-S scores with sleep quality, antepartum depression and anxiety symptoms. Finally, results from IRT analyses suggested excellent item infit and outfit measures. The FIRST-S was found to have good construct validity and internal consistency for assessing vulnerability to insomnia during early pregnancy. © 2016 American Academy of Sleep Medicine.
NASA Astrophysics Data System (ADS)
Grafen, M.; Nalpantidis, K.; Ihrig, D.; Heise, H. M.; Ostendorf, A.
2016-03-01
Mid-infrared (MIR) spectroscopy is a valuable analytical method for patient monitoring within point-of-care diagnostics. For implementation, quantum cascade lasers (QCL) appear to be most suited regarding miniaturization, complexity and eventually also costs. External cavity (EC) - QCLs offer broad tuning ranges and recently, ultra-broadly tunable systems covering spectral ranges around the mid-infrared fingerprint region became commercially available. Using such a system, transmission spectra from the wavenumber interval of 780 to 1920 cm-1, using a thermoelectrically cooled MCT-detector, were recorded while switching the aqueous glucose concentrations between 0, 50 and 100 mg/dL. In order to optimize the system performance, a multi-parameter study was carried out, varying laser pulse width, duty cycle, sweep speed and the optical sample pathlength for scoring the absorbance noise. Exploratory factor analysis with pattern recognition tools (PCA, LDA) was used for the raw data, providing more than 10 significantly contributing factors. With the glucose signal causing 20 % of the total variance, further factors include short-term drift possibly related to thermal effects, long-term drift due to varying atmospheric water vapour in the lab, as well as wavenumber shifts and drifts of the single tuners. For performance testing, the noise equivalent concentration was estimated based on cross-validated Partial-Least Squares (PLS) predictions and the a-posteriori obtained scores of the factor analysis. Based on the optimized parameters, a noise equivalent glucose concentration of 1.5 mg/dL was achieved.
Preliminary development of a revised version of the School Climate Measure.
Zullig, Keith J; Collins, Rani; Ghani, Nadia; Hunter, Amy A; Patton, Jon M; Huebner, E Scott; Zhang, Jianjun
2015-09-01
The School Climate Measure (SCM) was developed and preliminarily validated in 2010 and extended upon in 2013 in response to a dearth of psychometrically sound school climate instruments. This study sought to further validate the SCM on a large diverse sample of Arizona public school adolescents (N = 1,643) with two new domains. The eight original SCM domains (Positive Student-Teacher Relationships, School Connectedness, Academic Support, Order and Discipline, Physical Environment, Social Environment, Perceived Exclusion, and Academic Satisfaction) and two newly developed domains (Parental Involvement and Opportunities for Student Engagement) were subjected to psychometric analysis. The sample was randomly split into exploratory and confirmatory halves and subjected to factor analytic and structural equation modeling techniques. Factor analysis confirmed a 10-factor solution (loadings with absolute values > .40). Item factor loadings ranged from .47 to .95. Coefficient alphas ranged from .70 to .92. Fit statistics indicated a good fitting model (χ2 = 1452.67 [df = 734, p < .01], CFI = .94, TLI = .93, RMSEA = .039). This process eliminated some original SCM items, but the overall SCM increased only from 39 to 42 items with the newly developed domains. This investigation adds to the existing evidence for the SCM and offers support for a more comprehensive version of the SCM. The addition of the Parental Involvement and Opportunities for Student Engagement domains should further enhance the usefulness of the SCM. The SCM can facilitate data-driven decisions and may be incorporated into evidenced-based processes designed to improve important student learning and well-being outcomes. (c) 2015 APA, all rights reserved.
Forkmann, Thomas; Teismann, Tobias; Stenzel, Jana-Sophie; Glaesmer, Heide; de Beurs, Derek
2018-01-25
Defeat and entrapment have been shown to be of central relevance to the development of different disorders. However, it remains unclear whether they represent two distinct constructs or one overall latent variable. One reason for the unclarity is that traditional factor analytic techniques have trouble estimating the right number of clusters in highly correlated data. In this study, we applied a novel approach based on network analysis that can deal with correlated data to establish whether defeat and entrapment are best thought of as one or multiple constructs. Explanatory graph analysis was used to estimate the number of dimensions within the 32 items that make up the defeat and entrapment scales in two samples: an online community sample of 480 participants, and a clinical sample of 147 inpatients admitted to a psychiatric hospital after a suicidal attempt or severe suicidal crisis. Confirmatory Factor analysis (CFA) was used to test whether the proposed structure fits the data. In both samples, bootstrapped exploratory graph analysis suggested that the defeat and entrapment items belonged to different dimensions. Within the entrapment items, two separate dimensions were detected, labelled internal and external entrapment. Defeat appeared to be multifaceted only in the online sample. When comparing the CFA outcomes of the one, two, three and four factor models, the one factor model was preferred. Defeat and entrapment can be viewed as distinct, yet, highly associated constructs. Thus, although replication is needed, results are in line with theories differentiating between these two constructs.
Fujimoto, Kayo; Williams, Mark L; Ross, Michael W
2015-01-01
Objectives Relationship dynamics influence the perception of HIV risk in sexual dyads. The objective of this study was to examine the effect of relational dynamics on knowledge or perception of a partner's HIV status in a sample of most at-risk men who have sex with men (MSM): drug-using male sex workers. The study identified relationship dimensions and examined their association with misperceptions about a particular partner's HIV status. Methods The analytical sample for the study consisted of 168 sexual partnerships of 116 male sex workers and their associates. Exploratory factor analysis was conducted to identify dimensions of the interpersonal relationships in sexual partnerships that were then regressed on ‘risky misperceptions’ (misperceiving HIV negative when partner's self-report was positive or unknown). Results Six relationship dimensions of intimate, commitment, socialising, financial, trust and honesty were extracted. Commitment was found to be protective against misperception (adjusted OR (AOR)=0.45), while trust was not (AOR=2.78). Other factors also were found to be associated with misperception. HIV-negative MSM (AOR=7.69) and partners who were both self-identified as gay (AOR=3.57) were associated with misperception, while encounters identified as sex work (AOR=0.29), in which both partners were Caucasian (AOR=0.16), and involved with an older partner (AOR=0.90) were protective. Conclusions Couple-based HIV intervention efforts among MSM should consider that less trust and more commitment are protective factors in sexual partnerships. PMID:25305211
Is It Feasible to Identify Natural Clusters of TSC-Associated Neuropsychiatric Disorders (TAND)?
Leclezio, Loren; Gardner-Lubbe, Sugnet; de Vries, Petrus J
2018-04-01
Tuberous sclerosis complex (TSC) is a genetic disorder with multisystem involvement. The lifetime prevalence of TSC-Associated Neuropsychiatric Disorders (TAND) is in the region of 90% in an apparently unique, individual pattern. This "uniqueness" poses significant challenges for diagnosis, psycho-education, and intervention planning. To date, no studies have explored whether there may be natural clusters of TAND. The purpose of this feasibility study was (1) to investigate the practicability of identifying natural TAND clusters, and (2) to identify appropriate multivariate data analysis techniques for larger-scale studies. TAND Checklist data were collected from 56 individuals with a clinical diagnosis of TSC (n = 20 from South Africa; n = 36 from Australia). Using R, the open-source statistical platform, mean squared contingency coefficients were calculated to produce a correlation matrix, and various cluster analyses and exploratory factor analysis were examined. Ward's method rendered six TAND clusters with good face validity and significant convergence with a six-factor exploratory factor analysis solution. The "bottom-up" data-driven strategies identified a "scholastic" cluster of TAND manifestations, an "autism spectrum disorder-like" cluster, a "dysregulated behavior" cluster, a "neuropsychological" cluster, a "hyperactive/impulsive" cluster, and a "mixed/mood" cluster. These feasibility results suggest that a combination of cluster analysis and exploratory factor analysis methods may be able to identify clinically meaningful natural TAND clusters. Findings require replication and expansion in larger dataset, and could include quantification of cluster or factor scores at an individual level. Copyright © 2018 Elsevier Inc. All rights reserved.
ERIC Educational Resources Information Center
Areekkuzhiyil, Santhosh
2014-01-01
The study aims to explore the various factors that influence the organizational stress of teachers working in higher education sector in the state of Kerala. The data required for the study has been conveniently collected from 200 teachers working in higher education sector. Exploratory factor analysis revealed nine factors, which significantly…
ERIC Educational Resources Information Center
Edwards, Jeffrey R.; O'Neill, Regina M.
1998-01-01
Confirmatory factor analysis was used to evaluate alternative factor structures, based on previous exploratory factor analyses and coping dimensions derived from the theory of R. Lazarus, for the Ways of Coping Questionnaire (S. Folkman and R. Lazarus, 1988). Results from responses of 654 college graduates provide little support for the factor…
ERIC Educational Resources Information Center
Counts, Jacqueline M.; Buffington, Elenor S.; Chang-Rios, Karin; Rasmussen, Heather N.; Preacher, Kristopher J.
2010-01-01
Objective: The objective of this study was to evaluate the internal structure of a self-report measure of multiple family-level protective factors against abuse and neglect and explore the relationship of this instrument to other measures of child maltreatment. Methods: For the exploratory factor analysis, 11 agencies from 4 states administered…
Factor Analysis of the Brazilian Version of UPPS Impulsive Behavior Scale.
Sediyama, Cristina Y N; Moura, Ricardo; Garcia, Marina S; da Silva, Antonio G; Soraggi, Carolina; Neves, Fernando S; Albuquerque, Maicon R; Whiteside, Setephen P; Malloy-Diniz, Leandro F
2017-01-01
Objective: To examine the internal consistency and factor structure of the Brazilian adaptation of the UPPS Impulsive Behavior Scale. Methods: UPPS is a self-report scale composed by 40 items assessing four factors of impulsivity: (a) urgency, (b) lack of premeditation; (c) lack of perseverance; (d) sensation seeking. In the present study 384 participants (278 women and 106 men), who were recruited from schools, universities, leisure centers and workplaces fulfilled the UPPS scale. An exploratory factor analysis was performed by using Varimax factor rotation and Kaiser Normalization, and we also conducted two confirmatory analyses to test the independency of the UPPS components found in previous analysis. Results: Results showed a decrease in mean UPPS total scores with age and this analysis showed that the youngest participants (below 30 years) scored significantly higher than the other groups over 30 years. No difference in gender was found. Cronbach's alpha, results indicated satisfactory values for all subscales, with similar high values for the subscales and confirmatory factor analysis indexes also indicated a poor model fit. The results of two exploratory factor analysis were satisfactory. Conclusion: Our results showed that the Portuguese version has the same four-factor structure of the original and previous translations of the UPPS.
Ong, Sik Yin; Tan, Nigel C K; Knab, Mary S; Farrell, Susan E; Lim, Wee Shiong
2017-09-01
The increasing complexity of healthcare needs underlines the growing importance of interprofessional education and collaborative practice (IPECP) in enhancing quality of patient care. In particular, clinician educators play an influential role in advocating IPECP. The primary goal of our exploratory pilot study is to explore 34 clinician educators' attitudes towards IPECP by using the adapted 14-item Attitudes Toward Health Care Teams Scale (ATHCTS) and 15-item Readiness for Interprofessional Learning Scale (RIPLS). Mean scores of ATHCTS and RIPLS were 3.81 (SD = 0.90) and 4.02 (SD = 0.79), respectively. Using exploratory factor analysis, we identified four factors: team value (ATHCTS), team efficiency (ATHCTS), teamwork and collaboration (RIPLS), and professional socialisation (RIPLS). The "team efficiency" factor on the ATHCTS scored lowest (factor mean = 3.49) compared with other factors (factor means = 3.87-4.08). Correlation analyses revealed that the "team efficiency" factor had small correlations with other factors (r = -0.05-0.37). Our clinician educators valued IPECP in promoting teamwork and professional socialisation but they perceived IPECP to compromise efficiency. The issue of perceived inefficiency by clinician educators merits attention in order to promote wider implementation of IPECP.
Investigation of thermal-fluid mechanical characteristics of the Capillary Pump Loop
NASA Technical Reports Server (NTRS)
Kiper, Ali M.
1991-01-01
The main purpose is the experimental and analytical study of behavior of the Capillary Pump Loop (CPL) heat pipe system during the transient mode of operating by applying a step heat pulse to one or more evaporators. Prediction of the CPL behavior when subjected to pulse heat loading requires further study before the transient response of CPL system can be fully understood. The following tasks are discussed: (1) exploratory testing of a CPL heat pipe for transient operational conditions which could generate the type of oscillatory inlet temperature behavior observed in an earlier testing of NASA/GSFC CPL-2 heat pipe system; (2) analytical investigation of the CPL inlet section temperature oscillations; (3) design, construction and testing of a bench-top CPL test system for study of the CPL transient operation; and (4) transient analysis of a CPL heat pipe by applying a step power input to the evaporators.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Bradel, Lauren; Endert, Alexander; Koch, Kristen
2013-08-01
Large, high-resolution vertical displays carry the potential to increase the accuracy of collaborative sensemaking, given correctly designed visual analytics tools. From an exploratory user study using a fictional textual intelligence analysis task, we investigated how users interact with the display to construct spatial schemas and externalize information, as well as how they establish shared and private territories. We investigated the space management strategies of users partitioned by type of tool philosophy followed (visualization- or text-centric). We classified the types of territorial behavior exhibited in terms of how the users interacted with information on the display (integrated or independent workspaces). Next,more » we examined how territorial behavior impacted the common ground between the pairs of users. Finally, we offer design suggestions for building future co-located collaborative visual analytics tools specifically for use on large, high-resolution vertical displays.« less
NASA Astrophysics Data System (ADS)
Stewart, R.; Piburn, J.; Sorokine, A.; Myers, A.; Moehl, J.; White, D.
2015-07-01
The application of spatiotemporal (ST) analytics to integrated data from major sources such as the World Bank, United Nations, and dozens of others holds tremendous potential for shedding new light on the evolution of cultural, health, economic, and geopolitical landscapes on a global level. Realizing this potential first requires an ST data model that addresses challenges in properly merging data from multiple authors, with evolving ontological perspectives, semantical differences, and changing attributes, as well as content that is textual, numeric, categorical, and hierarchical. Equally challenging is the development of analytical and visualization approaches that provide a serious exploration of this integrated data while remaining accessible to practitioners with varied backgrounds. The WSTAMP project at Oak Ridge National Laboratory has yielded two major results in addressing these challenges: 1) development of the WSTAMP database, a significant advance in ST data modeling that integrates 10,000+ attributes covering over 200 nation states spanning over 50 years from over 30 major sources and 2) a novel online ST exploratory and analysis tool providing an array of modern statistical and visualization techniques for analyzing these data temporally, spatially, and spatiotemporally under a standard analytic workflow. We discuss the status of this work and report on major findings.
SOMFlow: Guided Exploratory Cluster Analysis with Self-Organizing Maps and Analytic Provenance.
Sacha, Dominik; Kraus, Matthias; Bernard, Jurgen; Behrisch, Michael; Schreck, Tobias; Asano, Yuki; Keim, Daniel A
2018-01-01
Clustering is a core building block for data analysis, aiming to extract otherwise hidden structures and relations from raw datasets, such as particular groups that can be effectively related, compared, and interpreted. A plethora of visual-interactive cluster analysis techniques has been proposed to date, however, arriving at useful clusterings often requires several rounds of user interactions to fine-tune the data preprocessing and algorithms. We present a multi-stage Visual Analytics (VA) approach for iterative cluster refinement together with an implementation (SOMFlow) that uses Self-Organizing Maps (SOM) to analyze time series data. It supports exploration by offering the analyst a visual platform to analyze intermediate results, adapt the underlying computations, iteratively partition the data, and to reflect previous analytical activities. The history of previous decisions is explicitly visualized within a flow graph, allowing to compare earlier cluster refinements and to explore relations. We further leverage quality and interestingness measures to guide the analyst in the discovery of useful patterns, relations, and data partitions. We conducted two pair analytics experiments together with a subject matter expert in speech intonation research to demonstrate that the approach is effective for interactive data analysis, supporting enhanced understanding of clustering results as well as the interactive process itself.
Hickman, Ronald L.; Pinto, Melissa D.; Lee, Eunsuk; Daly, Barbara J.
2015-01-01
The Decision Regret Scale (DRS) is a five-item instrument that captures an individual’s regret associated with a healthcare decision. Cross-sectional data were collected from 109 cardiac patients who decided to receive an internal cardioverter defibrillator (ICD). Exploratory and confirmatory factor analyses, assessments of the internal reliability consistency (α = .86), and discriminant validity established the DRS as a reliable and valid measure of decision regret in ICD recipients. The DRS, a psychometrically sound instrument, has relevance for clinicians and researchers vested in optimizing the decisional outcomes of ICD recipients. Future research is needed to examine the reliability and validity of the DRS in a larger and more diverse sample of ICD recipients. PMID:22679707
Chen, Zhuo Job; Hsu, Kung-Yu; Zhou, Xinyue; Saucier, Gerard
2017-07-21
Previous studies of American English isms terms have uncovered as many as five broad factors: tradition-oriented religiousness (TR), subjective spirituality (SS), communal rationalism (CR), unmitigated self-interest (USI), and inequality aversion (IA). The present studies took a similar lexical approach to investigate the Chinese-language isms structures in both mainland China and Taiwan. In Study 1, exploratory factor analyses with 915 mainland Chinese subjects uncovered four interpretable factors dimensionalizing 165 mainland Chinese dictionary isms terms. These factors represented contents of a combination of TR and SS, USI, CR, and a culturally unique Communist Party of China (CPC) ideology factor. In Study 2, exploratory factor analyses with 467 Taiwan Chinese subjects revealed four interpretable factors categorizing 291 Taiwan Chinese dictionary isms terms. These factors represented contents of a combination of TR and SS, USI, CR, and a culturally unique dimension expressing aspirations for happiness. The results gave evidence for the existence of the isms factors TR and SS, USI, and CR in Chinese culture. Cultural uniqueness was reflected in the merging of TR and SS into the factor Syncretic Religiousness and the culture-specific factors of CPC ideology in China and Happiness/Peace Promotion in Taiwan. © 2017 Wiley Periodicals, Inc.
Development and Validation of the Mathematical Resilience Scale
ERIC Educational Resources Information Center
Kooken, Janice; Welsh, Megan E.; McCoach, D. Betsy; Johnston-Wilder, Sue; Lee, Clare
2016-01-01
The Mathematical Resilience Scale measures students' attitudes toward studying mathematics, using three correlated factors: Value, Struggle, and Growth. The Mathematical Resilience Scale was developed and validated using exploratory and confirmatory factor analyses across three samples. Results provide a new approach to gauge the likelihood of…
Five Describing Factors of Dyslexia
ERIC Educational Resources Information Center
Tamboer, Peter; Vorst, Harrie C. M.; Oort, Frans J.
2016-01-01
Two subtypes of dyslexia (phonological, visual) have been under debate in various studies. However, the number of symptoms of dyslexia described in the literature exceeds the number of subtypes, and underlying relations remain unclear. We investigated underlying cognitive features of dyslexia with exploratory and confirmatory factor analyses. A…
School Counselors and Principals: Different Perceptions of Relationship, Leadership, and Training
ERIC Educational Resources Information Center
Armstrong, Stephen A.; MacDonald, Jane H.; Stillo, Sandy
2010-01-01
This study examined school counselors' and principals' perceptions of their relationship and the effectiveness of their respective professional preparation programs. An exploratory factor analysis (n = 615) revealed three salient factors: relationship quality, campus leadership and training satisfaction. Kruskal-Wallis tests revealed statistically…
Amendola, Fernanda; Alvarenga, Márcia Regina Martins; Latorre, Maria do Rosário Dias de Oliveira; Oliveira, Maria Amélia de Campos
2014-02-01
This exploratory, descriptive, cross-sectional, and quantitative study aimed to develop and validate an index of family vulnerability to disability and dependence (FVI-DD). This study was adapted from the Family Development Index, with the addition of social and health indicators of disability and dependence. The instrument was applied to 248 families in the city of Sao Paulo, followed by exploratory factor analysis. Factor validation was performed using the concurrent and discriminant validity of the Lawton scale and Katz Index. The descriptive level adopted for the study was p < 0.05. The final vulnerability index comprised 50 questions classified into seven factors contemplating social and health dimensions, and this index exhibited good internal consistency (Cronbach's alpha = 0.82). FVI-DD was validated using both the Lawton scale and Katz Index. We conclude that FVI-DD can accurately and reliably assess family vulnerability to disability and dependence.
French validation of the internet addiction test.
Khazaal, Yasser; Billieux, Joël; Thorens, Gabriel; Khan, Riaz; Louati, Youssr; Scarlatti, Elisa; Theintz, Florence; Lederrey, Jerome; Van Der Linden, Martial; Zullino, Daniele
2008-12-01
The main goal of the present study is to investigate the psychometric properties of a French version of the Internet Addiction Test (IAT) and to assess its relationship with both time spent on Internet and online gaming. The French version of the Young's Internet Addiction Test (IAT) was administered to a sample of 246 adults. Exploratory and confirmatory analyses were carried out. We discovered that a one-factor model of the IAT has good psychometric properties and fits the data well, which is not the case of a six-factor model as found in previous studies using exploratory methods. Correlation analysis revealed positive significant relationships between IAT scores and both the daily duration of Internet use and the fact of being an online player. In addition, younger people scored higher on the IAT. The one-factor model found in this study has to be replicated in other IAT language versions.
[Introduction to Exploratory Factor Analysis (EFA)].
Martínez, Carolina Méndez; Sepúlveda, Martín Alonso Rondón
2012-03-01
Exploratory Factor Analysis (EFA) has become one of the most frequently used statistical techniques, especially in the medical and social sciences. Given its popularity, it is essential to understand the basic concepts necessary for its proper application and to take into consideration the main strengths and weaknesses of this technique. To present in a clear and concise manner the main applications of this technique, to determine the basic requirements for its use providing a description step by step of its methodology, and to establish the elements that must be taken into account during its preparation in order to not incur in erroneous results and interpretations. Narrative review. This review identifies the basic concepts and briefly describes the objectives, design, assumptions, and methodology to achieve factor derivation, global adjustment evaluation, and adequate interpretation of results. Copyright © 2012 Asociación Colombiana de Psiquiatría. Publicado por Elsevier España. All rights reserved.
Psychometric Properties of the Persian Version of Care Dependency Scale in Nursing Homes.
Rajabi, Gholamreza; Namadmalan, Masoume; Dijkstra, Ate; Ghasemzade, Roya; Foroughan, Mahshid; Zahednejad, Shahla
The purpose of the study was to examine the psychometric properties of the Persian version of the Care Dependency Scale (CDS) in nursing homes. Instrument development. The English version of the CDS was translated into Persian. A convenience sample of 140 (100 older people without dementia and 40 patients with dementia) Persian-speaking people were selected from the nursing homes in Ahvaz, Iran. Cronbach's alpha, discriminant validity, and construct validity (exploratory factor analysis) were examined. Exploratory factor analysis indicated that the CDS has two factors, including psychosocial and somatic factors. Discriminant validity showed that the CDS can differentiate patients with dementia from the older adults without dementia. The results of the study showed that the Persian CDS is a reliable and valid scale when used in nursing homes. The Persian version of the CDS can help clinicians and nurses to assess patients' need and the degree of care dependency among older adults in Persian-speaking areas.
Physics Metacognition Inventory Part II: Confirmatory factor analysis and Rasch analysis
NASA Astrophysics Data System (ADS)
Taasoobshirazi, Gita; Bailey, MarLynn; Farley, John
2015-11-01
The Physics Metacognition Inventory was developed to measure physics students' metacognition for problem solving. In one of our earlier studies, an exploratory factor analysis provided evidence of preliminary construct validity, revealing six components of students' metacognition when solving physics problems including knowledge of cognition, planning, monitoring, evaluation, debugging, and information management. The college students' scores on the inventory were found to be reliable and related to students' physics motivation and physics grade. However, the results of the exploratory factor analysis indicated that the questionnaire could be revised to improve its construct validity. The goal of this study was to revise the questionnaire and establish its construct validity through a confirmatory factor analysis. In addition, a Rasch analysis was applied to the data to better understand the psychometric properties of the inventory and to further evaluate the construct validity. Results indicated that the final, revised inventory is a valid, reliable, and efficient tool for assessing student metacognition for physics problem solving.
Carús, Luis
2014-03-01
This study examines ski and snowboard terrain park users' views on aspects associated with accidents by identifying and assessing variables that may influence the occurrence of accidents and the resulting injuries. The research was conducted in a major resort in the Spanish Pyrenees, using information gathered from freestyle skiers and snowboarders aged 6 or older. To identify interrelationships among variables and to group the variables belonging to unified concepts, an exploratory factor analysis was performed using varimax rotation. The results revealed 5 factors that grouped the measured variables that may influence the occurrence of accidents while freestyling in terrain parks. The park features, conditions of the activity, and the user's personal conditions were found to have the most substantial influence on the freestylers' perceptions. Variables identified as components of the main factors of accident risk in terrain parks should be incorporated into resort management communication and policies. © 2013 Wilderness Medical Society Published by Wilderness Medical Society All rights reserved.
Kvist, Tarja; Mäntynen, Raija; Partanen, Pirjo; Turunen, Hannele; Miettinen, Merja; Vehviläinen-Julkunen, Katri
2012-01-01
This paper describes the development of the Kuopio University Hospital Job Satisfaction Scale (KUHJSS) and the results of the survey. The scale was developed through a systematic literature review, and its validity and reliability were assessed using several psychometric properties including expert evaluation (n = 5), a pilot survey (n = 172), and exploratory factor analysis. The final version of KUHJSS included 37 items. A large sample psychometric evaluation was made by nursing staff (n = 2708). The exploratory factor analysis revealed seven factors with modest internal consistency (0.64–0.92). The staff reported relatively high job satisfaction. The greatest satisfaction was derived from motivating factors associated with the work; the least, from the job's demands. Respondents who considered their working units to provide an excellent quality of care reported the highest job satisfaction in every subarea (P < .0001). The KUHJSS proved to be a reliable and valid tool for measuring job satisfaction in hospital care. PMID:23133750
Measuring hope among families impacted by cognitive impairment.
Hunsaker, Amanda E; Terhorst, Lauren; Gentry, Amanda; Lingler, Jennifer H
2016-07-01
The current exploratory investigation aims to establish the reliability and validity of a hope measure, the Herth Hope Index, among families impacted by early cognitive impairment (N = 96). Exploratory factor analysis was used to examine the dimensionality of the measure. Bivariate analyses were used to examine construct validity. The sample had moderately high hope scores. A two-factor structure emerged from the factor analysis, explaining 51.44% of the variance. Both factors exhibited strong internal consistency (Cronbach's alphas ranged from .83 to .86). Satisfaction with social support was positively associated with hope, supporting convergent validity. Neurocognitive status, illness insight, and depression were not associated with hope, indicating discriminant validity. Families impacted by cognitive impairment may maintain hope in the face of a potentially progressive illness, regardless of cognitive status. The Herth Hope Index can be utilized as a reliable and valid measure of hope by practitioners providing support to families impacted by cognitive impairment. © The Author(s) 2014.
Validation of the Work-Life Balance Culture Scale (WLBCS).
Nitzsche, Anika; Jung, Julia; Kowalski, Christoph; Pfaff, Holger
2014-01-01
The purpose of this paper is to describe the theoretical development and initial validation of the newly developed Work-Life Balance Culture Scale (WLBCS), an instrument for measuring an organizational culture that promotes the work-life balance of employees. In Study 1 (N=498), the scale was developed and its factorial validity tested through exploratory factor analyses. In Study 2 (N=513), confirmatory factor analysis (CFA) was performed to examine model fit and retest the dimensional structure of the instrument. To assess construct validity, a priori hypotheses were formulated and subsequently tested using correlation analyses. Exploratory and confirmatory factor analyses revealed a one-factor model. Results of the bivariate correlation analyses may be interpreted as preliminary evidence of the scale's construct validity. The five-item WLBCS is a new and efficient instrument with good overall quality. Its conciseness makes it particularly suitable for use in employee surveys to gain initial insight into a company's perceived work-life balance culture.
Further development of the talent development environment questionnaire for sport.
Li, Chunxiao; Wang, Chee Keng John; Pyun, Do Young; Martindale, Russell
2015-01-01
Given the significance of monitoring the critical environmental factors that facilitate athlete performance, this two-phase research aimed to validate and refine the revised talent development environment questionnaire (TDEQ). The TDEQ is a multidimensional self-report scale that assesses talented athletes' environmental experiences. Study 1 (the first phase) involved the examination of the revised TDEQ through an exploratory factor analysis (n = 363). This exploratory investigation identified a 28-item five-factor structure (i.e., TDEQ-5) with adequate internal consistency. Study 2 (the second phase) examined the factorial structure of the TDEQ-5, including convergent validity, discriminant validity, and group invariance (i.e., gender and sports type). The second phase was carried out with 496 talented athletes through the application of confirmatory factor analyses and multigroup invariance tests. The results supported the convergent validity, discriminant validity, and group invariance of the TDEQ-5. In conclusion, the TDEQ-5 with 25 items appears to be a reliable and valid scale for use in talent development environments.
Husain, Syed S; Kalinin, Alexandr; Truong, Anh; Dinov, Ivo D
Intuitive formulation of informative and computationally-efficient queries on big and complex datasets present a number of challenges. As data collection is increasingly streamlined and ubiquitous, data exploration, discovery and analytics get considerably harder. Exploratory querying of heterogeneous and multi-source information is both difficult and necessary to advance our knowledge about the world around us. We developed a mechanism to integrate dispersed multi-source data and service the mashed information via human and machine interfaces in a secure, scalable manner. This process facilitates the exploration of subtle associations between variables, population strata, or clusters of data elements, which may be opaque to standard independent inspection of the individual sources. This a new platform includes a device agnostic tool (Dashboard webapp, http://socr.umich.edu/HTML5/Dashboard/) for graphical querying, navigating and exploring the multivariate associations in complex heterogeneous datasets. The paper illustrates this core functionality and serviceoriented infrastructure using healthcare data (e.g., US data from the 2010 Census, Demographic and Economic surveys, Bureau of Labor Statistics, and Center for Medicare Services) as well as Parkinson's Disease neuroimaging data. Both the back-end data archive and the front-end dashboard interfaces are continuously expanded to include additional data elements and new ways to customize the human and machine interactions. A client-side data import utility allows for easy and intuitive integration of user-supplied datasets. This completely open-science framework may be used for exploratory analytics, confirmatory analyses, meta-analyses, and education and training purposes in a wide variety of fields.
ERIC Educational Resources Information Center
Smyth, Caroline L.; MacLachlan, Malcolm
2005-01-01
Numerous existing measures assess attitudes toward suicide yet fail to account for contextual factors. The Trinity Inventory of Precursors to Suicide (TIPS) is presented as an alternative, with implications for the development of prevention programs. Having previously reported exploratory analysis of the TIPS; confirmatory factor analysis and…
Exploring the Dimensionality of a Brief School Readiness Screener for Use with Latino/a Children
ERIC Educational Resources Information Center
Quirk, Matthew; Rebelez, Jennica; Furlong, Michael
2014-01-01
This study contributed to the school readiness literature by examining the factor structure and reliability of a revised version of the Kindergarten Student Entrance Profile (KSEP). Teachers rated 579 Latino/a children during the first month of kindergarten using the KSEP. Factor analysis procedures (exploratory factor analysis [EFA] and…
ERIC Educational Resources Information Center
Walpole, Sharon; McKenna, Michael C.; Uribe-Zarain, Ximena; Lamitina, David
2010-01-01
In this study of 116 high-poverty schools, we explored teaching and coaching in grades K-3. We developed and validated observation protocols for both coaching and teaching. Exploratory and confirmatory factor analyses were computed to identify and confirm factors that explained the protocol data. Three coaching factors were identified in both…
The Development of a Questionnaire on Academic Hardiness for Late Elementary School Children
ERIC Educational Resources Information Center
Kamtsios, Spiridon; Karagiannopoulou, Evangelia
2013-01-01
The purpose of the research was to develop a questionnaire to measure dimensions of academic hardiness in late elementary school children. Questionnaires were distributed to 1474 children. After a set of exploratory factor analyses in studies 1 and 2, the confirmatory factor analysis results provided support for the 9-factor solution which…
ERIC Educational Resources Information Center
Wetzel, Angela Payne
2011-01-01
Previous systematic reviews indicate a lack of reporting of reliability and validity evidence in subsets of the medical education literature. Psychology and general education reviews of factor analysis also indicate gaps between current and best practices; yet, a comprehensive review of exploratory factor analysis in instrument development across…
A Primer on Bootstrap Factor Analysis as Applied to Health Studies Research
ERIC Educational Resources Information Center
Lu, Wenhua; Miao, Jingang; McKyer, E. Lisako J.
2014-01-01
Objectives: To demonstrate how the bootstrap method could be conducted in exploratory factor analysis (EFA) with a syntax written in SPSS. Methods: The data obtained from the Texas Childhood Obesity Prevention Policy Evaluation project (T-COPPE project) were used for illustration. A 5-step procedure to conduct bootstrap factor analysis (BFA) was…
ERIC Educational Resources Information Center
Karami, Hossein
2015-01-01
Factor analysis has been frequently exploited in applied research to provide evidence about the underlying factors in various measurement instruments. A close inspection of a large number of studies published in leading applied linguistic journals shows that there is a misconception among applied linguists as to the relative merits of exploratory…
Exploratory Factor Analysis of a Force Concept Inventory Data Set
ERIC Educational Resources Information Center
Scott, Terry F.; Schumayer, Daniel; Gray, Andrew R.
2012-01-01
We perform a factor analysis on a "Force Concept Inventory" (FCI) data set collected from 2109 respondents. We address two questions: the appearance of conceptual coherence in student responses to the FCI and some consequences of this factor analysis on the teaching of Newtonian mechanics. We will highlight the apparent conflation of Newton's…
Reliability, Validity, and Factor Structure of the Imaginative Capability Scale
ERIC Educational Resources Information Center
Liang, Chaoyun; Chia, Tsorng-Lin
2014-01-01
Three studies were combined to test the reliability, validity, and factor structure of the imaginative capability scale (ICS). The ICS was a new self-report measure, which was developed to be empirically valid and easy to administer. Study 1 consisted in an exploratory factor analysis to determine the most appropriate structure of the ICS in a…
Starting the Conversation: An Exploratory Study of Factors That Influence Student Office Hour Use
ERIC Educational Resources Information Center
Griffin, Whitney; Cohen, Steven D.; Berndtson, Rachel; Burson, Kristen M.; Camper, K. Martin; Chen, Yujie; Smith, Margaret Austin
2014-01-01
As part of best practices for increasing faculty-student interaction, higher education institutions across the country require faculty members to hold office hours. Various studies have reported factors affecting student use of office hours; however, results are unclear at best and in some cases conflicting with respect to which factors matter…
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Chaaban, Youmen; Moloney, Robyn
2016-01-01
The purpose of this study is to explore Lebanese teachers' perceptions of the factors determining their integration of technology into literacy classrooms. A quantitative survey examining literacy teachers' individual characteristics and their perceptions of contextual factors was conducted at Lebanese schools. The survey collected data on the…
ERIC Educational Resources Information Center
Cui, Lixia; Lin, Wenwen; Oei, Tian P. S.
2011-01-01
This study investigated cross-cultural differences in the factor structure and psychometric properties of the Young Schema Questionnaire (short form; YSQ-SF). The participants were 712 Chinese undergraduate students. The total sample was randomly divided into two sub-samples. Exploratory Factor Analysis (EFA) was conducted on questionnaire results…
ERIC Educational Resources Information Center
Wei, Meifen; Alvarez, Alvin N.; Ku, Tsun-Yao; Russell, Daniel W.; Bonett, Douglas G.
2010-01-01
Four studies were conducted to develop and validate the Coping With Discrimination Scale (CDS). In Study 1, an exploratory factor analysis (N = 328) identified 5 factors: Education/Advocacy, Internalization, Drug and Alcohol Use, Resistance, and Detachment, with internal consistency reliability estimates ranging from 0.72 to 0.90. In Study 2, a…
An Empirical Analysis of Chinese College Learners' Obstacles to MOOC Learning in an English Context
ERIC Educational Resources Information Center
Liu, Liangxing
2017-01-01
This article reports a study applying an exploratory factor analysis to discovering the underlying factor structure of Chinese college students' obstacles to learning MOOC in an English context. Seven obstacle factors are identified: 1. academic and language skills; 2. internet skills; 3. course instruction/management; 4. learning motivations; 5.…
Exploring Factors of Media Characteristic Influencing Flow in Learning through Virtual Worlds
ERIC Educational Resources Information Center
Choi, Beomkyu; Baek, Youngkyun
2011-01-01
This study aims to find out factors of media characteristic which are considered to influence flow in learning through virtual worlds. One hundred ninety eight elementary students who are eleven to twelve years old participated in this study. After the exploratory factor analysis, to extract media characteristics of virtual worlds, seventy-eight…
Spirituality as a Scientific Construct: Testing Its Universality across Cultures and Languages
MacDonald, Douglas A.; Friedman, Harris L.; Brewczynski, Jacek; Holland, Daniel; Salagame, Kiran Kumar K.; Mohan, K. Krishna; Gubrij, Zuzana Ondriasova; Cheong, Hye Wook
2015-01-01
Using data obtained from 4004 participants across eight countries (Canada, India, Japan, Korea, Poland, Slovakia, Uganda, and the U.S.), the factorial reliability, validity and structural/measurement invariance of a 30-item version of Expressions of Spirituality Inventory (ESI-R) was evaluated. The ESI-R measures a five factor model of spirituality developed through the conjoint factor analysis of several extant measures of spiritual constructs. Exploratory factor analyses of pooled data provided evidence that the five ESI-R factors are reliable. Confirmatory analyses comparing four and five factor models revealed that the five dimensional model demonstrates superior goodness-of-fit with all cultural samples and suggest that the ESI-R may be viewed as structurally invariant. Measurement invariance, however, was not supported as manifested in significant differences in item and dimension scores and in significantly poorer fit when factor loadings were constrained to equality across all samples. Exploratory analyses with a second adjective measure of spirituality using American, Indian, and Ugandan samples identified three replicable factors which correlated with ESI-R dimensions in a manner supportive of convergent validity. The paper concludes with a discussion of the meaning of the findings and directions needed for future research. PMID:25734921
Exploratory factor analysis of the Oral Health Impact Profile.
John, M T; Reissmann, D R; Feuerstahler, L; Waller, N; Baba, K; Larsson, P; Celebić, A; Szabo, G; Rener-Sitar, K
2014-09-01
Although oral health-related quality of life (OHRQoL) as measured by the Oral Health Impact Profile (OHIP) is thought to be multidimensional, the nature of these dimensions is not known. The aim of this report was to explore the dimensionality of the OHIP using the Dimensions of OHRQoL (DOQ) Project, an international study of general population subjects and prosthodontic patients. Using the project's Learning Sample (n = 5173), we conducted an exploratory factor analysis on the 46 OHIP items not specifically referring to dentures for 5146 subjects with sufficiently complete data. The first eigenvalue (27·0) of the polychoric correlation matrix was more than ten times larger than the second eigenvalue (2·6), suggesting the presence of a dominant, higher-order general factor. Follow-up analyses with Horn's parallel analysis revealed a viable second-order, four-factor solution. An oblique rotation of this solution revealed four highly correlated factors that we named Oral Function, Oro-facial Pain, Oro-facial Appearance and Psychosocial Impact. These four dimensions and the strong general factor are two viable hypotheses for the factor structure of the OHIP. © 2014 John Wiley & Sons Ltd.
Hepner, Kimberly A; Sechrest, Lee
2002-12-01
The Child Health Questionnaire-Parent Form 50 (CHQ-PF50; Landgraf JM et al., The CHQ User's Manual. Boston, MA: The Health Institute, New England Medical Centre, 1996) appears to be a useful method of assessing children's health. The CHQ-PF50 is designed to measure general functional status and well-being and is available in several versions to suit the needs of the health researcher. Several publications have reported favorably on the psychometric properties of the CHQ. Landgraf et al. reported the results of an exploratory factor analysis at the scale level that provided evidence for a two-factor structure representing physical and psychosocial dimensions of health. In order to cross-validate and extend these results, a confirmatory factor analysis was conducted with an independent sample of generally healthy, predominantly minority children. Results of the analysis indicate that a two-factor model provides a good fit to the data, confirming previous exploratory analyses with this questionnaire. One additional method factor seems likely because of the substantial similarity of three of the scales, but that does not affect the substantive two-factor interpretation overall.
Hishinuma, Yuri; Horiuchi, Shigeko; Yanai, Haruo
2016-01-01
Clinical education is an extremely important process in cultivating healthcare professionals, and the quality of educators has a major impact on the quality of future practitioners. Although practicing clinical midwives contribute to the education of pre-registered midwives and those qualified within the past year (new midwives), the factors defining the educational competencies of clinical midwives have not been clarified. The purpose of this study was to explore the factors that define the mentoring competencies of clinical midwives involved in educating new midwives. An exploratory quantitative research study. Questionnaires were distributed to 694 midwives who had previously conducted educational activities with new midwives at the 63 facilities whose administrator or nurse manager in charge of all staff, including midwives, consented to participate. Of the 694 midwives, 464 (66.9%) returned the questionnaire and 451 (65.1%) valid responses were analyzed. Exploratory factor analyses were performed on the following three concepts: [competency as a professional], [competency as an educator], and [personal characteristics]. [Competency as a professional] consisted of two factors:
Measuring cognitive load during procedural skills training with colonoscopy as an exemplar.
Sewell, Justin L; Boscardin, Christy K; Young, John Q; Ten Cate, Olle; O'Sullivan, Patricia S
2016-06-01
Few studies have investigated cognitive factors affecting learning of procedural skills in medical education. Cognitive load theory, which focuses on working memory, is highly relevant, but methods for measuring cognitive load during procedural training are not well understood. Using colonoscopy as an exemplar, we used cognitive load theory to develop a self-report instrument to measure three types of cognitive load (intrinsic, extraneous and germane load) and to provide evidence for instrument validity. We developed the instrument (the Cognitive Load Inventory for Colonoscopy [CLIC]) using a multi-step process. It included 19 items measuring three types of cognitive load, three global rating items and demographics. We then conducted a cross-sectional survey that was administered electronically to 1061 gastroenterology trainees in the USA. Participants completed the CLIC following a colonoscopy. The two study phases (exploratory and confirmatory) each lasted for 10 weeks during the 2014-2015 academic year. Exploratory factor analysis determined the most parsimonious factor structure; confirmatory factor analysis assessed model fit. Composite measures of intrinsic, extraneous and germane load were compared across years of training and with global rating items. A total of 477 (45.0%) invitees participated (116 in the exploratory study and 361 in the confirmatory study) in 154 (95.1%) training programmes. Demographics were similar to national data from the USA. The most parsimonious factor structure included three factors reflecting the three types of cognitive load. Confirmatory factor analysis verified that a three-factor model was the best fit. Intrinsic, extraneous and germane load items had high internal consistency (Cronbach's alpha 0.90, 0.87 and 0.96, respectively) and correlated as expected with year in training and global assessment of cognitive load. The CLIC measures three types of cognitive load during colonoscopy training. Evidence of validity is provided. Although CLIC items relate to colonoscopy, the development process we detail can be used to adapt the instrument for use in other learning settings in medical education. © 2016 John Wiley & Sons Ltd.
[Developing Perceived Competence Scale (PCS) for Adolescents].
Özer, Arif; Gençtanirim Kurt, Dilek; Kizildağ, Seval; Demırtaş Zorbaz, Selen; Arici Şahın, Fatma; Acar, Tülin; Ergene, Tuncay
2016-01-01
In this study, Perceived Competence Scale was developed to measure high school students' perceived competence. Scale development process was verified on three different samples. Participants of the research are some high school students in 2011-2012 academic terms from Ankara. Participants' numbers are incorporated in exploratory factor analysis, confirmatory factor analysis and test-retest reliability respectively, as follows: 372, 668 and 75. Internal consistency coefficients (Cronbach's and stratified α) are calculated separately for each group. For data analysis Factor 8.02 and LISREL 8.70 package programs were used. According to results of the analyses, internal consistency coefficients (α) are .90 - .93 for academic competence, .82 - .86 for social competence in the samples that exploratory and confirmatory factor analysis performed. For the whole scale internal consistency coefficient (stratified α) is calculated as .91. As a result of test-retest reliability, adjusted correlation coefficients (r) are .94 for social competence and .90 for academic competence. In addition, to fit indexes and regression weights obtained from factor analysis, findings related convergent and discriminant validity, indicating that competence can be addressed in two dimensions which are academic (16 items) and social (14 items).
Evaluation of Colorado Learning Attitudes about Science Survey
ERIC Educational Resources Information Center
Douglas, K. A.; Yale, M. S.; Bennett, D. E.; Haugan, M. P.; Bryan, L. A.
2014-01-01
The Colorado Learning Attitudes about Science Survey (CLASS) is a widely used instrument designed to measure student attitudes toward physics and learning physics. Previous research revealed a fairly complex factor structure. In this study, exploratory and confirmatory factor analyses were conducted on data from an undergraduate introductory…
Structural Validation of the Holistic Wellness Assessment
ERIC Educational Resources Information Center
Brown, Charlene; Applegate, E. Brooks; Yildiz, Mustafa
2015-01-01
The Holistic Wellness Assessment (HWA) is a relatively new assessment instrument based on an emergent transdisciplinary model of wellness. This study validated the factor structure identified via exploratory factor analysis (EFA), assessed test-retest reliability, and investigated concurrent validity of the HWA in three separate samples. The…
ERIC Educational Resources Information Center
Soerensen, Peter; Stegeager, Nikolaj; Bates, Reid
2017-01-01
The purpose of this study was to answer two research questions. First, will an exploratory factor analysis of a Danish version of the Learning Transfer System Inventory (LTSI) result in a factor structure which is consistent with the original American LTSI factor structure? Second, does the mean score in the factor analysis vary in a statistically…
ERIC Educational Resources Information Center
Nelis, Sharon M.; Rae, Gordon; Liddell, Christine
2006-01-01
The factor structure of the Family Emotional Involvement and Criticism Scale (FEICS) is tested in a sample of Irish adolescents. Participants were 661 adolescents with a mean age of 15.9 years (SD = 1.26). Interpretation of both the exploratory and confirmatory factor analysis of the FEICS show support for the two-factor structure of the FEICS…
ERIC Educational Resources Information Center
Zhang, Huiping; Yip, Paul S. F.; Chi, Peilian; Chan, Kinsun; Cheung, Yee Tak; Zhang, Xiulan
2012-01-01
The purpose of this study was to explore the factor structure of the Work-Family Balance Scale (WFBS) and examine its reliability and validity in use in the urban Chinese population. The scale was validated using a sample of 605 urban Chinese residents from 7 cities. Exploratory factor analysis identified two factors: work-family conflict and…
The Hull Method for Selecting the Number of Common Factors
ERIC Educational Resources Information Center
Lorenzo-Seva, Urbano; Timmerman, Marieke E.; Kiers, Henk A. L.
2011-01-01
A common problem in exploratory factor analysis is how many factors need to be extracted from a particular data set. We propose a new method for selecting the number of major common factors: the Hull method, which aims to find a model with an optimal balance between model fit and number of parameters. We examine the performance of the method in an…
Factor Structure of Coping: Two Studies of Mothers with High Levels of Life Stress
ERIC Educational Resources Information Center
Eisengart, Sheri P.; Singer, Lynn T.; Kirchner, H. Lester; Min, Meeyoung Oh; Fulton, Sarah; Short, Elizabeth J.; Minnes, Sonia
2006-01-01
Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to investigate the factor structure of coping in mothers with high levels of life stress. In Study 1, EFA of the Coping Orientation to Problems Experienced (C. S. Carver, M. F. Scheier, & J. K. Weintraub, 1989) in a sample of mothers of full-term or very low…
ERIC Educational Resources Information Center
Bass, Gwen; Lee, Ji Hee; Wells, Craig; Carey, John C.; Lee, Sangmin
2015-01-01
The scale development and exploratory and confirmatory factor analyses of the Protective Factor Index (PFI) is described. The PFI is a 13-item component of elementary students' report cards that replaces typical items associated with student behavior. The PFI is based on the Construct-Based Approach (CBA) to school counseling, which proposes that…
ERIC Educational Resources Information Center
Golden-Kreutz, Deanna M.; Browne, Michael W.; Frierson, Georita M.; Andersen, Barbara L.
2004-01-01
Using the Perceived Stress Scale (PSS), perceptions of global stress were assessed in 111women following breast cancer surgery and at 12 and 24 months later. This is the first study to factor analyze the PSS. The PSS data were factor analyzed each time using exploratory factor analysis with oblique direct quartimin rotation. Goodness-of-fit…
ERIC Educational Resources Information Center
Sette, Stefania; Baumgartner, Emma; MacKinnon, David P.
2015-01-01
Research Findings: The main goals of this study were to examine the factor validity of the Social Competence and Behavior Evaluation (SCBE-30) scale using exploratory factor analysis and confirmatory factor analysis and to test factor invariance across gender in a sample of Italian preschool-age children (241 boys, 252 girls). The concurrent…
ERIC Educational Resources Information Center
Saengprom, Narumon; Erawan, Waraporn; Damrongpanit, Suntonrapot; Sakulku, Jaruwan
2015-01-01
The purposes of this study were 1) Compare analytical thinking ability by testing the same sets of students 5 times 2) Develop and verify whether analytical thinking ability of students corresponds to second-order growth curve factors model. Samples were 1,093 eighth-grade students. The results revealed that 1) Analytical thinking ability scores…
[Construction of a psychological aging scale for healthy people].
Lin, Fei; Long, Yao; Zeng, Ni; Wu, Lei; Huang, Helang
2017-04-28
To construct a psychological aging scale, and to provide a tool and indexes for scientific evaluation on aging. Methods: The age-related psychological items were collected through literature screening and expert interview. The importance, feasibilityand the degree of authority for the psychological index system were graded by two rounds of Delphi method. Using analytic hierarchy process, the weight of dimensions and items were determined. The analysis for internal consistency reliability, correlation and exploratory factor was performed to evaluate the reliability and validity of the scales. Results: By two rounds of Delphi method, 17 experts offered the results as follows: the coefficient of expert authorities was 0.88±0.06, the coordination coefficients for the importance and feasibility in second round were 0.456 (P<0.01) and 0.666 (P<0.01), respectively. The consistency was good. The psychological aging scale for healthy people included 4 dimensions as follows: cognitive function, emotion, personality and motivation. The weight coefficients for the 4 dimensions were 0.338, 0.250, 0.166 and 0.258, respectively. The Cronbach's α coefficient for the scale was 0.822, the reliability was 0.817, the content validity index (CVI) was 0.847, and the cumulative contribution rate for the 5 factors was51.42%. Conclusion: The psychological aging scale is satisfied, which can provide reference for the evaluation for aging. The indicators were representative and well-recognized.
Hush, Julia M; Lee, Haejung; Yung, Vivian; Adams, Roger; Mackey, Martin; Wand, Benedict M; Nelson, Roger; Beattie, Paul
2013-05-01
The aim of this study was to conduct a cross-cultural comparison of the factors that influence patient satisfaction with musculoskeletal physiotherapy care in Australia and Korea. Prospective studies were conducted in Australia and Korea. Patient satisfaction data were collected using the MedRisk Instrument for Measuring Patient Satisfaction with Physical Therapy Care (MRPS) from a total of 1666 patients who were attending clinics for physiotherapy treatment of a musculoskeletal condition. Exploratory factor analysis was conducted to identify factors determining patient satisfaction in each cohort. A four-factor solution for the MRPS was found for the Australian and Korean data sets, explaining 61 and 55% of the variance respectively. Communication and respect, convenience and quality time and person-focused care were factors common to both countries. One factor unique to Korea was courtesy and propriety. For both cultures, global patient satisfaction was significantly but weakly correlated with the outcome of treatment. The interpersonal aspect of care, namely effective communication and respect from the therapist, appears to be the predominant and universal factor that influences patient satisfaction with physiotherapy care, although other culturally specific factors were identified. Physiotherapists can maximize patient satisfaction with care by addressing those features that uniquely contribute to patient satisfaction in the cultural context in which they are working.
Lenzenweger, Mark F
2015-01-01
During World War II, the Office of Strategic Services (OSS), the forerunner of the Central Intelligence Agency, sought the assistance of clinical psychologists and psychiatrists to establish an assessment program for evaluating candidates for the OSS. The assessment team developed a novel and rigorous program to evaluate OSS candidates. It is described in Assessment of Men: Selection of Personnel for the Office of Strategic Services (OSS Assessment Staff, 1948). This study examines the sole remaining multivariate data matrix that includes all final ratings for a group of candidates (n = 133) assessed near the end of the assessment program. It applies the modern statistical methods of both exploratory and confirmatory factor analysis to this rich and highly unique data set. An exploratory factor analysis solution suggested 3 factors underlie the OSS assessment staff ratings. Confirmatory factor analysis results of multiple plausible substantive models reveal that a 3-factor model provides the best fit to these data. The 3 factors are emotional/interpersonal factors (social relations, emotional stability, security), intelligence processing (effective IQ, propaganda skills, observing and reporting), and agency/surgency (motivation, energy and initiative, leadership, physical ability). These factors are discussed in terms of their potential utility for personnel selection within the intelligence community.
Rodrigues, Johannes; Ulrich, Natalie; Mussel, Patrick; Carlo, Gustavo; Hewig, Johannes
2017-01-01
The prosocial tendencies measure (PTM; Carlo and Randall, 2002) is a widely used measurement for prosocial tendencies in English speaking participants. This instrument distinguishes between six different types of prosocial tendencies that partly share some common basis, but also can be opposed to each other. To examine these constructs in Germany, a study with 1067 participants was conducted. The study investigated the structure of this German version of the PTM-R via exploratory factor analysis, confirmatory factor analysis, correlations with similar constructs in subsamples as well as via measurement invariance test concerning the original English version. The German translation showed a similar factor structure to the English version in exploratory factor analysis and in confirmatory factor analysis. Measurement invariance was found between the English and German language versions of the PTM and support for the proposed six-factor structure (altruistic, anonymous, compliant, dire, emotional and public prosocial behavior) was also found in confirmatory factor analysis. Furthermore, the expected interrelations of these factors of prosocial behavior tendencies were obtained. Finally, correlations of the prosocial behavior tendencies with validating constructs and behaviors were found. Thus, the findings stress the importance of seeing prosocial behavior not as a single dimension construct, but as a factored construct which now can also be assessed in German speaking participants. PMID:29270144
Anxiety Outcomes after Physical Activity Interventions: Meta-Analysis Findings
Conn, Vicki S.
2011-01-01
Background Although numerous primary studies have documented the mental health benefits of physical activity (PA), no previous quantitative synthesis has examined anxiety outcomes of interventions to increase PA. Objectives This meta-analysis integrates extant research about anxiety outcomes from interventions to increase PA among healthy adults. Method Extensive literature searching located published and unpublished PA intervention studies with anxiety outcomes. Eligible studies reported findings from interventions designed to increase PA delivered to healthy adults without anxiety disorders. Data were coded from primary studies. Random-effects meta-analytic procedures were completed. Exploratory moderator analyses using meta-analysis ANOVA and regression analogues were conducted to determine if report, methods, sample, or intervention characteristics were associated with differences in anxiety outcomes. Results Data were synthesized across 3,289 subjects from 19 eligible reports. The overall mean anxiety effect size (d-index) for two-group comparisons was 0.22 with significant heterogeneity (Q = 32.15). Exploratory moderator analyses found larger anxiety improvement effect sizes among studies that included larger samples, used random allocation of subjects to treatment and control conditions, targeted only PA behavior instead of multiple health behaviors, included supervised exercise (vs. home-based PA), used moderate or high-intensity instead of low-intensity PA, and suggested subjects exercise at a fitness facility (vs. home) following interventions. Discussion These findings document that some interventions can decrease anxiety symptoms among healthy adults. Exploratory moderator analyses suggest possible directions for future primary research to compare interventions in randomized trials to confirm causal relationships. PMID:20410849
Development of Evidence-Based Health Policy Documents in Developing Countries: A Case of Iran
Imani-Nasab, Mohammad Hasan; Seyedin, Hesam; Majdzadeh, Reza; Yazdizadeh, Bahareh; Salehi, Masoud
2014-01-01
Background: Evidence-based policy documents that are well developed by senior civil servants and are timely available can reduce the barriers to evidence utilization by health policy makers. This study examined the barriers and facilitators in developing evidence-based health policy documents from the perspective of their producers in a developing country. Methods: In a qualitative study with a framework analysis approach, we conducted semi-structured interviews using purposive and snowball sampling. A qualitative analysis software (MAXQDA-10) was used to apply the codes and manage the data. This study was theory-based and the results were compared to exploratory studies about the factors influencing evidence-based health policymaking. Results: 18 codes and three main themes of behavioral, normative, and control beliefs were identified. Factors that influence the development of evidence-based policy documents were identified by the participants: behavioral beliefs included quality of policy documents, use of resources, knowledge and innovation, being time-consuming and contextualization; normative beliefs included policy authorities, policymakers, policy administrators, and co-workers; and control beliefs included recruitment policy, performance management, empowerment, management stability, physical environment, access to evidence, policy making process, and effect of other factors. Conclusion: Most of the cited barriers to the development of evidence-based policy were related to control beliefs, i.e. barriers at the organizational and health system levels. This study identified the factors that influence the development of evidence-based policy documents based on the components of the theory of planned behavior. But in exploratory studies on evidence utilization by health policymakers, the identified factors were only related to control behaviors. This suggests that the theoretical approach may be preferable to the exploratory approach in identifying the barriers and facilitators of a behavior. PMID:24762343
German Validation of the Conners 3® Rating Scales for Parents, Teachers, and Children.
Christiansen, Hanna; Hirsch, Oliver; Drechsler, Renate; Wanderer, Sina; Knospe, Eva-Lotte; Günther, Thomas; Lidzba, Karen
2016-01-01
Attention-deficit/hyperactivity disorder (ADHD) rating scales such as the Conners’ Rating Scales (CRS) are valuable adjuncts for diagnosis, since they offer parent, teacher, and self-ratings of children susceptible for ADHD. Even though the scales are widely used internationally, cross-cultural comparability has rarely been verified, and culture and language invariance have only been presumed. The Conners 3(®) rating scales are the updated version of the CRS, though hardly any studies report the psychometric properties apart from the results published in the test edition itself. To our knowledge there are no studies on the various adaptations of the Conners 3(®) in other languages. The German translations of the Conners 3(®) were completed by 745 children, 953 parents, and 741 teachers (children’s age range: 6–18 years, mean: 11.74 years of age). Exploratory and confirmatory factor analyses on content scale items were conducted to obtain the factor structure for the German version and to replicate the factor structure of the original American models. Cronbach’s α was calculated to establish internal consistency. The exploratory analyses for the German model resulted in factor structures globally different from the American model, though confirmatory analyses revealed very good model fi ts with highly satisfying Cronbach’s αs. We were able to provide empirical evidence for the subscale Inattention which had only hypothetically been derived by Conners (2008). Even though the exploratory analyses resulted in different factor structures, the confirmatory analyses have such excellent psychometric properties that use of the German adaptation of the Conners 3(®) is justifi ed in international multicenter studies.
Development of evidence-based health policy documents in developing countries: a case of Iran.
Imani-Nasab, Mohammad Hasan; Seyedin, Hesam; Majdzadeh, Reza; Yazdizadeh, Bahareh; Salehi, Masoud
2014-02-07
Evidence-based policy documents that are well developed by senior civil servants and are timely available can reduce the barriers to evidence utilization by health policy makers. This study examined the barriers and facilitators in developing evidence-based health policy documents from the perspective of their producers in a developing country. In a qualitative study with a framework analysis approach, we conducted semi-structured interviews using purposive and snowball sampling. A qualitative analysis software (MAXQDA-10) was used to apply the codes and manage the data. This study was theory-based and the results were compared to exploratory studies about the factors influencing evidence-based health policy-making. 18 codes and three main themes of behavioral, normative, and control beliefs were identified. Factors that influence the development of evidence-based policy documents were identified by the participants: behavioral beliefs included quality of policy documents, use of resources, knowledge and innovation, being time-consuming and contextualization; normative beliefs included policy authorities, policymakers, policy administrators, and co-workers; and control beliefs included recruitment policy, performance management, empowerment, management stability, physical environment, access to evidence, policy making process, and effect of other factors. Most of the cited barriers to the development of evidence-based policy were related to control beliefs, i.e. barriers at the organizational and health system levels. This study identified the factors that influence the development of evidence-based policy documents based on the components of the theory of planned behavior. But in exploratory studies on evidence utilization by health policymakers, the identified factors were only related to control behaviors. This suggests that the theoretical approach may be preferable to the exploratory approach in identifying the barriers and facilitators of a behavior.
Fontes, L A; Cruz, M; Tabachnick, J
2001-05-01
This exploratory study investigates knowledge and ideas about child sexual abuse among African Americans and Latinos through focus group discussions. Participants defined and described child sexual abuse, acknowledged that it occurred in their communities, and expressed their sense that family risk factors, risky institutions, and offender propensities were its root causes. Latino participants identified cultural transitions as another contributor. Responses and conversational style differed somewhat by gender and cultural identity. The authors discuss implications for child sexual abuse prevention, intervention, and research.
Evaluation of the Teacher-Student Relationship Inventory in American High School Students
ERIC Educational Resources Information Center
Suldo, Shannon M.; McMahan, Melanie M.; Chappel, Ashley M.; Bateman, Lisa P.
2014-01-01
This study provided an independent examination of the Teacher Student Relationship Inventory (TSRI), a teacher report measure developed in Singapore. A total of 500 American high school students were rated by 84 teachers. Exploratory factor analysis supported the existence of three factors representing instrumental help, satisfaction, and…
Evidence for a Multidimensional Self-Efficacy for Exercise Scale
ERIC Educational Resources Information Center
Rodgers, W. M.; Wilson, P. M.; Hall, C. R.; Fraser, S. N.; Murray, T. C.
2008-01-01
This series of three studies considers the multidimensionality of exercise self-efficacy by examining the psychometric characteristics of an instrument designed to assess three behavioral subdomains: task, scheduling, and coping. In Study 1, exploratory factor analysis revealed the expected factor structure in a sample of 395 students.…
Students' Physical and Psychological Reactions to Forensic Dissection: Are There Risk Factors?
ERIC Educational Resources Information Center
Sergentanis, Theodoros N.; Papadodima, Stavroula A.; Evaggelakos, Christos I.; Mytilinaios, Dimitrios G.; Goutas, Nikolaos D.; Spiliopoulou, Chara A.
2010-01-01
The reactions of students to forensic dissection encompass psychologico-emotional and physical components. This exploratory study aimed to determine risk factors for students' adverse physical and psychological reactions to forensic dissection. All sixth-year medical students (n = 304) attending the compulsory practical course in forensic medicine…
The Construction and Initial Validation of the Work Volition Scale
ERIC Educational Resources Information Center
Duffy, Ryan D.; Diemer, Matthew A.; Perry, Justin C.; Laurenzi, Cathy; Torrey, Carrie L.
2012-01-01
This study constructed an instrument measuring work volition for adult populations, defined as the perceived capacity to make occupational choices despite constraints. In Study 1, an exploratory factor analysis produced a 3-factor structure containing subscales assessing general volition, financial constraints, and structural constraints. The full…
ERIC Educational Resources Information Center
Araújo, Liliana S.; Cruz, José Fernando A.; Almeida, Leandro S.
2017-01-01
This study investigates the perceived role of psychological factors in achieving excellence in scientific research. Six outstanding scientists aged 33-42 were interviewed. Data were analyzed inductively resulting in three main dimensions: personality traits and characteristics, psychological skills and processes, and task-specific strategies.…
The Structure and Correlates of Perfectionism in African American Children
ERIC Educational Resources Information Center
McCreary, Beth T.; Joiner, Thomas E.; Schmidt, Norman B.; Ialongo, Nicholas S.
2004-01-01
This study examined the structure and symptom correlates of perfectionism in a sample of 6th-grade, urban, African American children using the Child and Adolescent Perfectionism Scale (CAPS; Flett, Hewitt, Boucher, Davidson, & Munro, 2000). Confirmatory factor analysis showed inadequate fit of the original subscales. Exploratory factor analysis…
Sexual Opinion Survey: An Exploratory Factor Analysis with Helping Professionals
ERIC Educational Resources Information Center
Bloom, Zachary D.; Gutierrez, Daniel; Lambie, Glenn W.
2015-01-01
Counselors and marriage and family therapists work with individuals, couples, and families on issues related to sexuality. However, clinicians may be underserving their clients by "not" having adequate training and preparation to work with clients with these presenting issues. One mitigating factor in the treatment of sexual problems is…
Parental Self-Efficacy and Bullying in Elementary School
ERIC Educational Resources Information Center
Malm, Esther Kweiki; Henrich, Christopher; Varjas, Kris; Meyers, Joel
2017-01-01
This study investigated associations of general and specific parental self-efficacy factors with bullying and peer victimization behaviors among 142 fourth and fifth graders and their parents. Using structural equation modeling, exploratory factor analysis was used to examine one general parenting self-efficacy measure and a bullying-specific…
The Development and Validation of a Mental Toughness Scale for Adolescents
ERIC Educational Resources Information Center
McGeown, Sarah; St. Clair-Thompson, Helen; Putwain, David W.
2018-01-01
The present study examined the validity of a newly developed instrument, the Mental Toughness Scale for Adolescents, which examines the attributes of challenge, commitment, confidence (abilities and interpersonal), and control (life and emotion). The six-factor model was supported using exploratory factor analysis (n = 373) and confirmatory factor…
ERIC Educational Resources Information Center
Ballantine, Joan; Guo, Xin; Larres, Patricia
2015-01-01
This research provides new insights into the measurement of students' authorial identity and its potential for minimising the incidence of unintentional plagiarism by providing evidence about the psychometric properties of the Student Authorship Questionnaire (SAQ). Exploratory and confirmatory factor analyses (EFA and CFA) are employed to…
ERIC Educational Resources Information Center
Kim, Eunhee; Newton, Fred B.; Downey, Ronald G.; Benton, Stephen L.
2010-01-01
The College Learning Effectiveness Inventory, a new assessment tool identifying personal variables important to college student success, was constructed using empirical approaches grounded in a conceptual model. The exploratory and confirmatory studies revealed the six-underlying factors: Academic Self-Efficacy, Organization and Attention to…
Non-Linear Modeling of Growth Prerequisites in a Finnish Polytechnic Institution of Higher Education
ERIC Educational Resources Information Center
Nokelainen, Petri; Ruohotie, Pekka
2009-01-01
Purpose: This study aims to examine the factors of growth-oriented atmosphere in a Finnish polytechnic institution of higher education with categorical exploratory factor analysis, multidimensional scaling and Bayesian unsupervised model-based visualization. Design/methodology/approach: This study was designed to examine employee perceptions of…
Students' Perceptions of Factors that Affect College Funding Decisions
ERIC Educational Resources Information Center
Porter, Julia Y.; Fossey, W. Richard; Davis, William E.; Burnett, Michael F.; Stuhlmann, Janice; Suchy, Patricia A.
2006-01-01
This exploratory study examines the factors that college students perceive are important in helping them make good financial decisions about paying for a college education. The study categorizes and summarizes students' self-reported responses to an open-ended survey question about recommendations for changes in financial aid counseling practices.…
Mistreatment in Assisted Living Facilities: Complaints, Substantiations, and Risk Factors
ERIC Educational Resources Information Center
Phillips, Linda R.; Guo, Guifang
2011-01-01
Purpose of the Study: Use archived public data from Arizona to explore relationships among selected institutional and resident risk and situation-specific factors and complaints and substantiated allegations of various types of mistreatment in assisted living facilities (ALFs). Design and Methods: An exploratory/descriptive 2-group design was…
Adolescent Problem Behavior in Navi Mumbai: An Exploratory Study of Psychosocial Risk and Protection
ERIC Educational Resources Information Center
Solomon, R. J.
2007-01-01
Background: A conceptual framework about protective factors (models protection, controls protection, support protection) and risk factors (models risk, opportunity risk, vulnerability risk) was employed to articulate the content of five psychosocial contexts of adolescent life--individual, family, peers, school, and neighborhood--in a study of…
Examining the Cultural Validity of a College Student Engagement Survey for Latinos
ERIC Educational Resources Information Center
Hernandez, Ebelia; Mobley, Michael; Coryell, Gayle; Yu, En-Hui; Martinez, Gladys
2013-01-01
Using critical race theory and quantitative criticalist stance, this study examines the construct validity of an engagement survey, "Student Experiences in the Research University" (SERU) for Latino college students through exploratory factor analysis. Results support the principal seven-factor SERU model. However subfactors exhibited…
ERIC Educational Resources Information Center
Stewart, Jessica; Antonenko, Pavlo D.; Robinson, J. Shane; Mwavita, Mwarumba
2013-01-01
The focus of this exploratory study was to examine levels of technology integration, self-efficacy, and Technological Pedagogical Content Knowledge (TPACK) in preservice and inservice agricultural education teachers in Oklahoma. The findings of this study suggest that intrapersonal factors, such as self-efficacy, outcome expectations, and…
Factors That Influence Adoption and Use of Location-Sharing Social Media
ERIC Educational Resources Information Center
Page, Xinru Woo
2014-01-01
This work aims to understand real-world factors shaping behaviors and attitudes towards location-sharing social networks (LSSN), especially as to why people avoid or abandon this technology, or limit their usage. Based on interview-based qualitative research and survey-based exploratory quantitative research, I hypothesize conceptual models…
Relations among Student Attention Behaviors, Teacher Practices, and Beginning Word Reading Skill
ERIC Educational Resources Information Center
Saez, Leilani; Folsom, Jessica Sidler; Al Otaiba, Stephanie; Schatschneider, Christopher
2012-01-01
The role of student attention for predicting kindergarten word reading was investigated among 432 students. Using "Strengths and Weaknesses of ADHD Symptoms and Normal Behavior Rating Scale" behavior rating scores, the authors conducted an exploratory factor analysis, which yielded three distinct factors that reflected selective…
An Assessment of the Dimensionality of SAT-Mathematical.
ERIC Educational Resources Information Center
Lawrence, Ida M.; Dorans, Neil J.
Six editions of Scholastic Aptitude Test-Mathematical (SAT-M) were factor analyzed using confirmatory and exploratory methods. Confirmatory factor analyses (using the LISREL VI program) were conducted on correlation matrices among item parcels--sums of scores on a small subset of items. Item parcels were constructed to yield correlation matrices…
Factor Analysis by Generalized Least Squares.
ERIC Educational Resources Information Center
Joreskog, Karl G.; Goldberger, Arthur S.
Aitkin's generalized least squares (GLS) principle, with the inverse of the observed variance-covariance matrix as a weight matrix, is applied to estimate the factor analysis model in the exploratory (unrestricted) case. It is shown that the GLS estimates are scale free and asymptotically efficient. The estimates are computed by a rapidly…
Psychometric Properties of the Revised Mathematics Anxiety Rating Scale
ERIC Educational Resources Information Center
Baloglu, Mustafa; Zelhart, Paul F.
2007-01-01
An exploratory factor analysis and several confirmatory analyses were performed to evaluate the factorial structure of the Revised Mathematics Anxiety Rating Scale (RMARS) through the responses of 805 college students. On 559 students' scores, the instrument's construct validity was tested through a confirmatory factor analysis (CFA) and was found…
Toward a Measure of Professional Development for Graduate Student Teaching Assistants
ERIC Educational Resources Information Center
DeChenne, Sue Ellen; Lesseig, Kristin; Anderson, Shawn M.; Li, Sissi L.; Staus, Nancy L.; Barthel, Celeste
2012-01-01
This study describes the development and validation of an instrument to measure graduate teaching assistants' (GTAs) learning about teaching during professional development. In the pilot study, exploratory factor analysis of data from 239 graduate students indicates a single factor structure. The second study, involving 177 science, technology,…
Good and Evil at School: Bullying and Moral Evaluation in Early Adolescence
ERIC Educational Resources Information Center
Kollerová, Lenka; Janošová, Pavlína; Rícan, Pavel
2014-01-01
We investigated how adolescents (sixth-graders, N = 357) morally evaluated hypothetical bullying and defending protagonists and whether these evaluations related to behavior in bullying as nominated by peers. Exploratory factor analysis (EFA) resulted in four factors for the evaluation of the hypothetical bullies: "Evil soul,"…
Physics Metacognition Inventory Part Ii: Confirmatory Factor Analysis and Rasch Analysis
ERIC Educational Resources Information Center
Taasoobshirazi, Gita; Bailey, MarLynn; Farley, John
2015-01-01
The Physics Metacognition Inventory was developed to measure physics students' metacognition for problem solving. In one of our earlier studies, an exploratory factor analysis provided evidence of preliminary construct validity, revealing six components of students' metacognition when solving physics problems including knowledge of cognition,…
Student Misbehaviors in Online Classrooms: Scale Development and Validation
ERIC Educational Resources Information Center
Li, Li; Titsworth, Scott
2015-01-01
The current program of research included two studies that developed the Student Online Misbehaviors (SOMs) scale and explored relationships between the SOMs and various classroom communication processes and outcomes. The first study inductively developed initial SOM typologies and tested factor structure via an exploratory factor analysis.…
Greek Pre-Service Teachers' Knowledge, Attitudes, and Environmental Behavior toward Marine Pollution
ERIC Educational Resources Information Center
Boubonari, Theodora; Markos, Angelos; Kevrekidis, Theodoros
2013-01-01
A structured questionnaire was administered to assess Greek pre-service primary teachers' knowledge, attitudes, and self-reported behavior toward marine pollution issues. Exploratory factor analysis revealed several factors, all demonstrating adequate internal consistency, and showed that pre-service teachers demonstrated a moderate level of…
Factors Associated with South Korean Early Childhood Educators' Observed Behavior Support Strategies
ERIC Educational Resources Information Center
Kim, Yeon Ha; Stormont, Melissa
2012-01-01
This study was an exploratory study of 34 South Korean early childhood educators' strategies for addressing behavior problems in natural settings. Factors related to teachers' strategy implementation were also explored. Four specific teacher behaviors were observed: precorrection, behavioral-specific praise, redirection, and reprimand/punishment.…
The Student Perception of Faculty Scale: Development, Testing and Practical Application
ERIC Educational Resources Information Center
Mueller, Thomas S.
2017-01-01
This study involved a sample group of students residing in residential halls at a state university in a qualitative and quantitative analysis to measure their perceptions of the university's faculty. Exploratory, then confirmatory, factor analysis revealed a 3-factor model representing teaching faculty: a negative, emotionally challenging…
ERIC Educational Resources Information Center
Lowrie, Tom; Jorgensen, Robyn
2016-01-01
This investigation explored pre-service teachers' mathematics content knowledge (MCK) and beliefs associated with mathematics education practices. An Exploratory Factor Analysis, conducted on a beliefs and attitudes questionnaire, produced three common attitude factors associated with (1) inquiry-based teaching; (2) how mathematics knowledge is…
Preliminary Validation of the Motor Skills Rating Scale
ERIC Educational Resources Information Center
Cameron, Claire E.; Chen, Wei-Bing; Blodgett, Julia; Cottone, Elizabeth A.; Mashburn, Andrew J.; Brock, Laura L.; Grissmer, David
2012-01-01
This study examined psychometric properties of the Motor Skills Rating Scale (MSRS), a questionnaire designed for classroom teachers of children in early elementary school. Items were developed with the guidance of two occupational therapists, and factor structure was examined with an exploratory factor analysis (EFA). The resulting model showed…
Gottberg, Annika; Longhurst, Philip J; Cook, Matthew B
2010-03-01
Product service systems (PSS) are cleaner product concepts which have been developed to achieve improvements in resource productivity which may be realized from modern trends in service delivery. However, there is a paucity of research on the waste prevention performance of PSS in UK household markets. This paper reports the findings of exploratory research which begins to address this gap in knowledge. An exploratory waste prevention assessment was completed on four experimental PSS which were developed in conjunction with a major UK house-builder for delivery on their new housing developments. The results of the assessment show that the selected PSS concepts have potential to prevent high value and harmful Waste Electrical and Electronic Equipment (WEEE) arising in UK household waste streams. Consistent with the canon of exploratory research, the assessment also identifies a number of factors which are thought to influence PSS waste prevention performance. It is recognized that further research is needed to gain an in-depth understanding of these factors as well as to define policy measures which enable the conditions in which PSS prevent household waste on new housing developments in the UK to be created.
HIV incidence and CDC's HIV prevention budget: an exploratory correlational analysis.
Holtgrave, David R; Kates, Jennifer
2007-01-01
The central evaluative question about a national HIV prevention program is whether that program affects HIV incidence. Numerous factors may influence incidence, including public investment in HIV prevention. Few studies, however, have examined the relationship between public investment and the HIV epidemic in the United States. This 2006 exploratory analysis examined the period from 1978 through 2006 using a quantitative, lagged, correlational analysis to capture the relationship between national HIV incidence and Centers for Disease Control and Prevention's HIV prevention budget in the United States over time. The analyses suggest that early HIV incidence rose in advance of the nation's HIV prevention investment until the mid-1980s (1-year lag correlation, r=0.972, df=2, p <0.05). From that point on, it appears that the nation's investment in HIV prevention became a strong correlate of HIV incidence (1-year lag correlation, r=-0.905, df=18, p <0.05). This exploratory study provides correlational evidence of a relationship between U.S. HIV incidence and the federal HIV prevention budget over time, and calls for further analysis of the role of funding and other factors that may influence the direction of a nation's HIV epidemic.
ERIC Educational Resources Information Center
O'Sullivan, Deirdre; Strauser, David R.; Wong, Alex W. K.
2012-01-01
With the continued lower employment rate for persons with disabilities, researchers are focusing more on barriers to employment that reach beyond functional impairment. Personality and self-efficacy have consistently been important factors when considering employment outcomes for persons without disability; less is known about these factors as…
ERIC Educational Resources Information Center
Neumann, Craig S.; Malterer, Melanie B.; Newman, Joseph P.
2008-01-01
Exploratory factor analysis (EFA) of the Psychopathic Personality Inventory (PPI; S. O. Lilienfeld, 1990; S. O. Lilienfeld & B. P. Andrews, 1996) with a community sample has suggested that the PPI subscales may comprise 2 higher order factors (S. D. Benning, C. J. Patrick, B. M. Hicks, D. M. Blonigen, & R. F. Krueger, 2003). However,…
ERIC Educational Resources Information Center
Ravenwood, Clare; Stephens, Derek; Walton, Graham
2015-01-01
Many factors and pressures affect decisions made in UK university libraries on opening hours especially 24/7. This article reports on a project to examine the decision-making process, influential factors, and stakeholders. A workshop for senior library managers in the East Midlands was held to gather data and share experiences. From analysis of…
ERIC Educational Resources Information Center
Adachi, Kohei
2013-01-01
Rubin and Thayer ("Psychometrika," 47:69-76, 1982) proposed the EM algorithm for exploratory and confirmatory maximum likelihood factor analysis. In this paper, we prove the following fact: the EM algorithm always gives a proper solution with positive unique variances and factor correlations with absolute values that do not exceed one,…
Bayesian Factor Analysis as a Variable Selection Problem: Alternative Priors and Consequences
Lu, Zhao-Hua; Chow, Sy-Miin; Loken, Eric
2016-01-01
Factor analysis is a popular statistical technique for multivariate data analysis. Developments in the structural equation modeling framework have enabled the use of hybrid confirmatory/exploratory approaches in which factor loading structures can be explored relatively flexibly within a confirmatory factor analysis (CFA) framework. Recently, a Bayesian structural equation modeling (BSEM) approach (Muthén & Asparouhov, 2012) has been proposed as a way to explore the presence of cross-loadings in CFA models. We show that the issue of determining factor loading patterns may be formulated as a Bayesian variable selection problem in which Muthén and Asparouhov’s approach can be regarded as a BSEM approach with ridge regression prior (BSEM-RP). We propose another Bayesian approach, denoted herein as the Bayesian structural equation modeling with spike and slab prior (BSEM-SSP), which serves as a one-stage alternative to the BSEM-RP. We review the theoretical advantages and disadvantages of both approaches and compare their empirical performance relative to two modification indices-based approaches and exploratory factor analysis with target rotation. A teacher stress scale data set (Byrne, 2012; Pettegrew & Wolf, 1982) is used to demonstrate our approach. PMID:27314566
Kim, Kyung Woo; Lim, Ho Chan; Park, Jae Hee; Park, Sang Gyu; Park, Ye Jin; Cho, Hm Hak
2018-06-01
Organizations are pursing complex and diverse aims to generate higher profits. Many workers experience high work intensity such as workload and work pressure in this organizational environment. Especially, psychological burden is a commonly used term in workplace of Republic of Korea. This study focused on defining the psychological burden from the perspective of occupational safety and health and tried to develop a scale for psychological burden. The 48 preliminary questionnaire items for psychological burden were prepared by a focus group interview with 16 workers through the Copenhagen Psychosocial Questionnaire II and Mindful Awareness Attention Scale. The preliminary items were surveyed with 572 workers, and exploratory factor analysis, confirmatory factor analysis, and correlation analysis were conducted for a new scale. As a result of the exploratory factor analysis, five factors were extracted: organizational activity, human error, safety and health workload, work attitude, and negative self-management. These factors had significant correlations and reliability, and the stability of the model for validity was confirmed using confirmatory factor analysis. The developed scale for psychological burden can measure workers' psychological burden in relation to safety and health. Despite some limitations, this study has applicability in the workplace, given the relatively small-sized questionnaire.
NASA Astrophysics Data System (ADS)
Wetzel, Angela Payne
Previous systematic reviews indicate a lack of reporting of reliability and validity evidence in subsets of the medical education literature. Psychology and general education reviews of factor analysis also indicate gaps between current and best practices; yet, a comprehensive review of exploratory factor analysis in instrument development across the continuum of medical education had not been previously identified. Therefore, the purpose for this study was critical review of instrument development articles employing exploratory factor or principal component analysis published in medical education (2006--2010) to describe and assess the reporting of methods and validity evidence based on the Standards for Educational and Psychological Testing and factor analysis best practices. Data extraction of 64 articles measuring a variety of constructs that have been published throughout the peer-reviewed medical education literature indicate significant errors in the translation of exploratory factor analysis best practices to current practice. Further, techniques for establishing validity evidence tend to derive from a limited scope of methods including reliability statistics to support internal structure and support for test content. Instruments reviewed for this study lacked supporting evidence based on relationships with other variables and response process, and evidence based on consequences of testing was not evident. Findings suggest a need for further professional development within the medical education researcher community related to (1) appropriate factor analysis methodology and reporting and (2) the importance of pursuing multiple sources of reliability and validity evidence to construct a well-supported argument for the inferences made from the instrument. Medical education researchers and educators should be cautious in adopting instruments from the literature and carefully review available evidence. Finally, editors and reviewers are encouraged to recognize this gap in best practices and subsequently to promote instrument development research that is more consistent through the peer-review process.
ERIC Educational Resources Information Center
Rojas Flórez, Luisa Fernanda
2015-01-01
This research was carried out with the purpose of identifying how and which risk and protective factors affect academic outcomes. The study explored how different family and individual environmental factors foster academic resilience. The exploratory study took place with a group of six students from a public school in Bogotá, Colombia. The school…
ERIC Educational Resources Information Center
Recklitis, Christopher J.; Parsons, Susan K.; Shih, Mei-Chiung; Mertens, Ann; Robison, Leslie L.; Zeltzer, Lonnie
2006-01-01
The factor structure of the Brief Symptom Inventory--18 (BSI-18; L. R. Derogatis, 2000) was investigated in a sample of adult survivors of childhood cancer enrolled in the Childhood Cancer Survivor Study (CCSS; N = 8,945). An exploratory factor analysis with a randomly chosen subsample supported a 3-factor structure closely corresponding to the 3…
A replication of a factor analysis of motivations for trapping
Schroeder, Susan; Fulton, David C.
2015-01-01
Using a 2013 sample of Minnesota trappers, we employed confirmatory factor analysis to replicate an exploratory factor analysis of trapping motivations conducted by Daigle, Muth, Zwick, and Glass (1998). We employed the same 25 items used by Daigle et al. and tested the same five-factor structure using a recent sample of Minnesota trappers. We also compared motivations in our sample to those reported by Daigle et el.
Factor Analysis of the Brazilian Version of UPPS Impulsive Behavior Scale
Sediyama, Cristina Y. N.; Moura, Ricardo; Garcia, Marina S.; da Silva, Antonio G.; Soraggi, Carolina; Neves, Fernando S.; Albuquerque, Maicon R.; Whiteside, Setephen P.; Malloy-Diniz, Leandro F.
2017-01-01
Objective: To examine the internal consistency and factor structure of the Brazilian adaptation of the UPPS Impulsive Behavior Scale. Methods: UPPS is a self-report scale composed by 40 items assessing four factors of impulsivity: (a) urgency, (b) lack of premeditation; (c) lack of perseverance; (d) sensation seeking. In the present study 384 participants (278 women and 106 men), who were recruited from schools, universities, leisure centers and workplaces fulfilled the UPPS scale. An exploratory factor analysis was performed by using Varimax factor rotation and Kaiser Normalization, and we also conducted two confirmatory analyses to test the independency of the UPPS components found in previous analysis. Results: Results showed a decrease in mean UPPS total scores with age and this analysis showed that the youngest participants (below 30 years) scored significantly higher than the other groups over 30 years. No difference in gender was found. Cronbach’s alpha, results indicated satisfactory values for all subscales, with similar high values for the subscales and confirmatory factor analysis indexes also indicated a poor model fit. The results of two exploratory factor analysis were satisfactory. Conclusion: Our results showed that the Portuguese version has the same four-factor structure of the original and previous translations of the UPPS. PMID:28484414
Refining and validating the Social Interaction Anxiety Scale and the Social Phobia Scale.
Carleton, R Nicholas; Collimore, Kelsey C; Asmundson, Gordon J G; McCabe, Randi E; Rowa, Karen; Antony, Martin M
2009-01-01
The Social Interaction Anxiety Scale and Social Phobia Scale are companion measures for assessing symptoms of social anxiety and social phobia. The scales have good reliability and validity across several samples, however, exploratory and confirmatory factor analyses have yielded solutions comprising substantially different item content and factor structures. These discrepancies are likely the result of analyzing items from each scale separately or simultaneously. The current investigation sets out to assess items from those scales, both simultaneously and separately, using exploratory and confirmatory factor analyses in an effort to resolve the factor structure. Participants consisted of a clinical sample (n 5353; 54% women) and an undergraduate sample (n 5317; 75% women) who completed the Social Interaction Anxiety Scale and Social Phobia Scale, along with additional fear-related measures to assess convergent and discriminant validity. A three-factor solution with a reduced set of items was found to be most stable, irrespective of whether the items from each scale are assessed together or separately. Items from the Social Interaction Anxiety Scale represented one factor, whereas items from the Social Phobia Scale represented two other factors. Initial support for scale and factor validity, along with implications and recommendations for future research, is provided. (c) 2009 Wiley-Liss, Inc.
Shelby, Rebecca A.; Golden-Kreutz, Deanna M.; Andersen, Barbara L.
2007-01-01
The Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV; American Psychiatric Association, 1994a) conceptualization of posttraumatic stress disorder (PTSD) includes three symptom clusters: reexperiencing, avoidance/numbing, and arousal. The PTSD Checklist-Civilian Version (PCL-C) corresponds to the DSM-IV PTSD symptoms. In the current study, we conducted exploratory factor analysis (EFA) of the PCL-C with two aims: (a) to examine whether the PCL-C evidenced the three-factor solution implied by the DSM-IV symptom clusters, and (b) to identify a factor solution for the PCL-C in a cancer sample. Women (N = 148) with Stage II or III breast cancer completed the PCL-C after completion of cancer treatment. We extracted two-, three-, four-, and five-factor solutions using EFA. Our data did not support the DSM-IV PTSD symptom clusters. Instead, EFA identified a four-factor solution including reexperiencing, avoidance, numbing, and arousal factors. Four symptom items, which may be confounded with illness and cancer treatment-related symptoms, exhibited poor factor loadings. Using these symptom items in cancer samples may lead to overdiagnosis of PTSD and inflated rates of PTSD symptoms. PMID:16281232
Niclasen, Janni; Keilow, Maria; Obel, Carsten
2018-05-01
Well-being is considered a prerequisite for learning. The Danish Ministry of Education initiated the development of a new 40-item student well-being questionnaire in 2014 to monitor well-being among all Danish public school students on a yearly basis. The aim of this study was to investigate the basic psychometric properties of this questionnaire. We used the data from the 2015 Danish student well-being survey for 268,357 students in grades 4-9 (about 85% of the study population). Descriptive statistics, exploratory factor analyses, confirmatory factor analyses and Cronbach's α reliability measures were used in the analyses. The factor analyses did not unambiguously support one particular factor structure. However, based on the basic descriptive statistics, exploratory factor analyses, confirmatory factor analyses, the semantics of the individual items and Cronbach's α, we propose a four-factor structure including 27 of the 40 items originally proposed. The four scales measure school connectedness, learning self-efficacy, learning environment and classroom management. Two bullying items and two psychosomatic items should be considered separately, leaving 31 items in the questionnaire. The proposed four-factor structure addresses central aspects of well-being, which, if used constructively, may support public schools' work to increase levels of student well-being.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Safari, L., E-mail: laleh.safari@ist.ac.at; Department of Physics, University of Oulu, Box 3000, FI-90014 Oulu; Santos, J. P.
Atomic form factors are widely used for the characterization of targets and specimens, from crystallography to biology. By using recent mathematical results, here we derive an analytical expression for the atomic form factor within the independent particle model constructed from nonrelativistic screened hydrogenic wave functions. The range of validity of this analytical expression is checked by comparing the analytically obtained form factors with the ones obtained within the Hartee-Fock method. As an example, we apply our analytical expression for the atomic form factor to evaluate the differential cross section for Rayleigh scattering off neutral atoms.
Critical Factors in Data Governance for Learning Analytics
ERIC Educational Resources Information Center
Elouazizi, Noureddine
2014-01-01
This paper identifies some of the main challenges of data governance modelling in the context of learning analytics for higher education institutions, and discusses the critical factors for designing data governance models for learning analytics. It identifies three fundamental common challenges that cut across any learning analytics data…
Gunn, Sarah; Burgess, Gerald H; Maltby, John
2018-04-30
To explore the factor structure of the UK Functional Independence Measure and Functional Assessment Measure (FIM+FAM) among focal and diffuse acquired brain injury patients. Criterion standard. A National Health Service acute acquired brain injury inpatient rehabilitation hospital. Referred sample of N=447 adults admitted for inpatient treatment following an acquired brain injury significant enough to justify intensive inpatient neurorehabilitation INTERVENTION: Not applicable. Functional Independence Measure and Functional Assessment Measure. Exploratory factor analysis suggested a 2-factor structure to FIM+FAM scores, among both focal-proximate and diffuse-proximate acquired brain injury aetiologies. Confirmatory factor analysis suggested a 3-factor bifactor structure presented the best fit of the FIM+FAM score data across both aetiologies. However, across both analyses, a convergence was found towards a general factor, demonstrated by high correlations between factors in the exploratory factor analysis, and by a general factor explaining the majority of the variance in scores on confirmatory factor analysis. Our findings suggested that although factors describing specific functional domains can be derived from FIM+FAM item scores, there is a convergence towards a single factor describing overall functioning. This single factor informs the specific group factors (eg, motor, psychosocial, and communication function) after brain injury. Further research into the comparative value of the general and group factors as evaluative/prognostic measures is indicated. Copyright © 2018 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.
Halley, Meghan C; Rendle, Katharine A S; Gillespie, Katherine A; Stanley, Katherine M; Frosch, Dominick L
2015-12-01
The last 15 years have witnessed considerable progress in the development of decision support interventions (DESIs). However, fundamental questions about design and format of delivery remain. An exploratory, randomized mixed-method crossover study was conducted to compare a DVD- and Web-based DESI. Randomized participants used either the Web or the DVD first, followed by the alternative format. Participants completed a questionnaire to assess decision-specific knowledge at baseline and a questionnaire and structured qualitative interview after viewing each format. Tracking software was used to capture Web utilization. Transcripts were analyzed using integrated inductive and deductive approaches. Quantitative data were analyzed using exploratory bivariate and multivariate analyses. Exploratory knowledge analyses suggest that both formats increased knowledge, with limited evidence that the DVD increased knowledge more than the Web. Format preference varied across participants: 44% preferred the Web, 32% preferred the DVD and 24% preferred 'both'. Patient discussions of preferences for DESI information structure and the importance of a patients' stage of a given decision suggest these characteristics may be important factors underlying variation in utilization, format preferences and knowledge outcomes. Our results suggest that both DESI formats effectively increase knowledge. Patients' perceptions of these two formats further suggest that there may be no single 'best' format for all patients. These results have important implications for understanding why different DESI formats might be preferable to and more effective for different patients. Further research is needed to explore the relationship between these factors and DESI utilization outcomes across diverse patient populations. © 2014 John Wiley & Sons Ltd.
Esdar, Moritz; Hübner, Ursula; Liebe, Jan-David; Hüsers, Jens; Thye, Johannes
2017-01-01
Clinical information logistics is a construct that aims to describe and explain various phenomena of information provision to drive clinical processes. It can be measured by the workflow composite score, an aggregated indicator of the degree of IT support in clinical processes. This study primarily aimed to investigate the yet unknown empirical patterns constituting this construct. The second goal was to derive a data-driven weighting scheme for the constituents of the workflow composite score and to contrast this scheme with a literature based, top-down procedure. This approach should finally test the validity and robustness of the workflow composite score. Based on secondary data from 183 German hospitals, a tiered factor analytic approach (confirmatory and subsequent exploratory factor analysis) was pursued. A weighting scheme, which was based on factor loadings obtained in the analyses, was put into practice. We were able to identify five statistically significant factors of clinical information logistics that accounted for 63% of the overall variance. These factors were "flow of data and information", "mobility", "clinical decision support and patient safety", "electronic patient record" and "integration and distribution". The system of weights derived from the factor loadings resulted in values for the workflow composite score that differed only slightly from the score values that had been previously published based on a top-down approach. Our findings give insight into the internal composition of clinical information logistics both in terms of factors and weights. They also allowed us to propose a coherent model of clinical information logistics from a technical perspective that joins empirical findings with theoretical knowledge. Despite the new scheme of weights applied to the calculation of the workflow composite score, the score behaved robustly, which is yet another hint of its validity and therefore its usefulness. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.
Carroll, Annemaree; McCarthy, Molly; Houghton, Stephen; Sanders O'Connor, Emma; Zadow, Corinne
2018-04-24
Reactive and proactive aggression is a dichotomous classification of aggression in adults and children. This distinction has been supported by a number of variable-based and factor analytic studies. Due to high inter-correlations, however, the reactive-proactive aggression distinction may not be entirely useful for understanding how group or individual aggressive behavior varies in children and adolescents. Drawing on a sample of primary school-aged children (N = 242) aged 7-12 years, this study sought to determine whether reactive and proactive aggression could be distinguished at the variable-level and the person-level in children. Exploratory Factor Analysis of data from an aggression instrument measuring both functions and forms of aggression, found a two-factor construct of aggression constituted by a reactive and proactive aggression factor. A person-based analysis was then conducted after classifying children according to the presence of reactive and/or proactive aggression. Discriminant function analysis was used to discern whether classifications on the basis of aggression function produced meaningful distinctions in terms of antisocial traits and emotional valence and intensity measures. Two functions were identified which distinguished children with different combinations of reactive and proactive aggression. Reactive-only aggressive children were defined primarily by high levels of impulsivity, while proactive-only children were defined primarily by higher levels of antisocial traits. Children high in both types of aggression exhibited both the presence of antisocial traits and impulsivity. Contrary to recent findings, this suggests that differences in aggression functions remain meaningful at the person level in children. Implications for interventions are discussed. © 2018 Wiley Periodicals, Inc.
Busquets, Juli; Peláez, Núria; Secanella, Lluís; Darriba, Maria; Bravo, Alejandro; Santafosta, Eva; Valls, Carles; Gornals, Joan; Peña, Carmen; Fabregat, Juan
2014-11-01
Surgery is the accepted treatment for infected acute pancreatitis, although mortality remains high. As an alternative, a staged management has been proposed to improve results. Initial percutaneous drainage could allow surgery to be postponed, and improve postoperative results. Few centres in Spain have published their results of surgery for acute pancreatitis. To review the results obtained after surgical treatment of acute pancreatitis during a period of 12 years, focusing on postoperative mortality. We have reviewed the experience in the surgical treatment of severe acute pancreatitis (SAP) at Bellvitge University Hospital from 1999 to 2011. To analyse the results, 2 periods were considered, before and after 2005. A descriptive and analytical study of risk factors for postoperative mortality was performed A total of 143 patients were operated on for SAP, and necrosectomy or debridement of pancreatic and/or peripancreatic necrosis was performed, or exploratory laparotomy in cases of massive intestinal ischemia. Postoperative mortality was 25%. Risk factors were advanced age (over 65 years), the presence of organ failure, sterility of the intraoperative simple, and early surgery (< 7 days). The only risk factor for mortality in the multivariant analysis was the time from the start of symptoms to surgery of<7 days; furthermore, 50% of these patients presented infection in one of the intraoperative cultures. Pancreatic infection can appear at any moment in the evolution of the disease, even in early stages. Surgery for SAP has a high mortality rate, and its delay is a factor to be considered in order to improve results. Copyright © 2014 AEC. Published by Elsevier Espana. All rights reserved.
Muhammad, Noor Azimah; Shamsuddin, Khadijah; Omar, Khairani; Shah, Shamsul Azhar; Mohd Amin, Rahmah
2014-01-01
Parenting behaviour is culturally sensitive. The aims of this study were (1) to translate the Parental Bonding Instrument into Malay (PBI-M) and (2) to determine its factorial structure and validity among the Malaysian population. The PBI-M was generated from a standard translation process and comprehension testing. The validation study of the PBI-M was administered to 248 college students aged 18 to 22 years. Participants in the comprehension testing had difficulty understanding negative items. Five translated double negative items were replaced with five positive items with similar meanings. Exploratory factor analysis showed a three-factor model for the PBI-M with acceptable reliability. Four negative items (items 3, 4, 8, and 16) and item 19 were omitted from the final PBI-M list because of incorrect placement or low factor loading (< 0.32). Out of the final 20 items of the PBI-M, there were 10 items for the care factor, five items for the autonomy factor and five items for the overprotection factor. All the items loaded positively on their respective factors. The Malaysian population favoured positive items in answering questions. The PBI-M confirmed the three-factor model that consisted of care, autonomy and overprotection. The PBI-M is a valid and reliable instrument to assess the Malaysian parenting style. Confirmatory factor analysis may further support this finding. Malaysia, parenting, questionnaire, validity.
Akinade, Olugbenga O; Oyedele, Lukumon O; Ajayi, Saheed O; Bilal, Muhammad; Alaka, Hafiz A; Owolabi, Hakeem A; Bello, Sururah A; Jaiyeoba, Babatunde E; Kadiri, Kabir O
2017-02-01
The aim of this paper is to identify Critical Success Factors (CSF) needed for effective material recovery through Design for Deconstruction (DfD). The research approach employed in this paper is based on a sequential exploratory mixed method strategy. After a thorough review of literature and conducting four Focus Group Discussion (FGDs), 43 DfD factors were identified and put together in a questionnaire survey. Data analyses include Cronbach's alpha reliability analysis, mean testing using significance index, and exploratory factor analysis. The result of the factor analysis reveals that an underlying factor structure of five DfD factors groups that include 'stringent legislation and policy', 'deconstruction design process and competencies', 'design for material recovery', 'design for material reuse', and 'design for building flexibility'. These groups of DfD factor groups show that the requirements for DfD goes beyond technical competencies and that non-technical factors such as stringent legislation and policy and design process and competency for deconstruction are key in designing deconstructable buildings. Paying attention to the factors identified in all of these categories will help to tackle impediments that could hinder the effectiveness of DfD. The results of this study would help design and project managers to understand areas of possible improvement in employing DfD as a strategy for diverting waste from landfills. Copyright © 2016 Elsevier Ltd. All rights reserved.
Hospital survey on patient safety culture: psychometric analysis on a Scottish sample.
Sarac, Cakil; Flin, Rhona; Mearns, Kathryn; Jackson, Jeanette
2011-10-01
To investigate the psychometric properties of the Hospital Survey on Patient Safety Culture on a Scottish NHS data set. The data were collected from 1969 clinical staff (estimated 22% response rate) from one acute hospital from each of seven Scottish Health boards. Using a split-half validation technique, the data were randomly split; an exploratory factor analysis was conducted on the calibration data set, and confirmatory factor analyses were conducted on the validation data set to investigate and check the original US model fit in a Scottish sample. Following the split-half validation technique, exploratory factor analysis results showed a 10-factor optimal measurement model. The confirmatory factor analyses were then performed to compare the model fit of two competing models (10-factor alternative model vs 12-factor original model). An S-B scaled χ(2) square difference test demonstrated that the original 12-factor model performed significantly better in a Scottish sample. Furthermore, reliability analyses of each component yielded satisfactory results. The mean scores on the climate dimensions in the Scottish sample were comparable with those found in other European countries. This study provided evidence that the original 12-factor structure of the Hospital Survey on Patient Safety Culture scale has been replicated in this Scottish sample. Therefore, no modifications are required to the original 12-factor model, which is suggested for use, since it would allow researchers the possibility of cross-national comparisons.
Leonard, Noelle R.; Gwadz, Marya V.; Ritchie, Amanda; Linick, Jessica L.; Cleland, Charles M.; Elliott, Luther; Grethel, Michele
2015-01-01
There is growing awareness that students’ experiences of stress may impede academic success, compromise mental health, and promote substance use. We examined these factors in an under-studied population, private/independent high school students, using a multi-method (qualitative and quantitative), iterative data collection and analytic process. We first conducted qualitative interviews with faculty and staff at a number of highly competitive private schools, followed by an anonymous quantitative survey with 128 11th grade students from two of these settings. We then conducted a qualitative exploration of the quantitative results with a subset of students. Next, a set of Expert Panel members participated in qualitative interviews to reflect on and interpret study findings. Overall, we found students experienced high levels of chronic stress, particularly in relation to academic performance and the college admissions process. While students described a range of effective, adaptive coping strategies, they also commonly internalized these serious pressures and turned to alcohol and drugs to cope with chronic stress, although not typically at problematic levels. We discuss study implications for both schools and families derived from the Expert Panel. PMID:26257685
Empirical study using network of semantically related associations in bridging the knowledge gap.
Abedi, Vida; Yeasin, Mohammed; Zand, Ramin
2014-11-27
The data overload has created a new set of challenges in finding meaningful and relevant information with minimal cognitive effort. However designing robust and scalable knowledge discovery systems remains a challenge. Recent innovations in the (biological) literature mining tools have opened new avenues to understand the confluence of various diseases, genes, risk factors as well as biological processes in bridging the gaps between the massive amounts of scientific data and harvesting useful knowledge. In this paper, we highlight some of the findings using a text analytics tool, called ARIANA--Adaptive Robust and Integrative Analysis for finding Novel Associations. Empirical study using ARIANA reveals knowledge discovery instances that illustrate the efficacy of such tool. For example, ARIANA can capture the connection between the drug hexamethonium and pulmonary inflammation and fibrosis that caused the tragic death of a healthy volunteer in a 2001 John Hopkins asthma study, even though the abstract of the study was not part of the semantic model. An integrated system, such as ARIANA, could assist the human expert in exploratory literature search by bringing forward hidden associations, promoting data reuse and knowledge discovery as well as stimulating interdisciplinary projects by connecting information across the disciplines.
Leonard, Noelle R; Gwadz, Marya V; Ritchie, Amanda; Linick, Jessica L; Cleland, Charles M; Elliott, Luther; Grethel, Michele
2015-01-01
There is growing awareness that students' experiences of stress may impede academic success, compromise mental health, and promote substance use. We examined these factors in an under-studied population, private/independent high school students, using a multi-method (qualitative and quantitative), iterative data collection and analytic process. We first conducted qualitative interviews with faculty and staff at a number of highly competitive private schools, followed by an anonymous quantitative survey with 128 11th grade students from two of these settings. We then conducted a qualitative exploration of the quantitative results with a subset of students. Next, a set of Expert Panel members participated in qualitative interviews to reflect on and interpret study findings. Overall, we found students experienced high levels of chronic stress, particularly in relation to academic performance and the college admissions process. While students described a range of effective, adaptive coping strategies, they also commonly internalized these serious pressures and turned to alcohol and drugs to cope with chronic stress, although not typically at problematic levels. We discuss study implications for both schools and families derived from the Expert Panel.
Horton, Simon; Howell, Alison; Humby, Kate; Ross, Alexandra
2011-01-01
Active participation is considered to be a key factor in stroke rehabilitation. Patient engagement in learning is an important part of this process. This study sets out to explore how active participation and engagement are 'produced' in the course of day-to-day multi-disciplinary stroke rehabilitation. Ethnographic observation, analytic concepts drawn from discourse analysis (DA) and the perspective and methods of conversation analysis (CA) were applied to videotaped data from three sessions of rehabilitation therapy each for two patients with communication impairments (dysarthria, aphasia). Engagement was facilitated (and hindered) through the interactional work of patients and healthcare professionals. An institutional ethos of 'right practice' was evidenced in the working practices of therapists and aligned with or resisted by patients; therapeutic activity type (impairment, activity or functional focus) impacted on the ways in which patient engagement was developed and sustained. This exploration of multi-disciplinary rehabilitation practice adds a new dimension to our understanding of the barriers and facilitators to patient engagement in the learning process and provides scope for further research. Harmonising the rehabilitation process across disciplines through more focused attention to ways in which patient participation is enhanced may help improve the consistency and quality of patient engagement.
Cultural Protective and Risk Factors: Professional Perspectives about Child Sexual Abuse in Kenya
ERIC Educational Resources Information Center
Plummer, Carol A.; Njuguna, Wambui
2009-01-01
Objective: The aim of this study was to explore perspectives on cultural risks and protective factors among professionals in Kenya. Method: An exploratory/descriptive survey of Kenyan professionals working to prevent or intervene with child sexual abuse was undertaken to determine their perspectives on how tribal culture impacts vulnerability to…
ERIC Educational Resources Information Center
Taylor, Purcell; El-Sabawi, Taleed; Cangin, Causenge
2016-01-01
Objective: To improve the CAGE (Cut down, Annoyed, Guilty, Eye opener) questionnaire's predictive accuracy in screening college students. Participants: The sample consisted of 219 midwestern university students who self-administered a confidential survey. Methods: Exploratory factor analysis, confirmatory factor analysis, receiver operating…
ERIC Educational Resources Information Center
Wild, Andrew
2015-01-01
Considerable attention has been devoted to factors affecting the persistence of women and historically underrepresented ethnic groups in their science education trajectories. The literature has focused more on structural factors that affect longitudinal outcomes rather than classroom experiences. This exploratory survey study described…
Reasons Underlying Treatment Preference: An Exploratory Study
ERIC Educational Resources Information Center
Cochran, Bryan N.; Pruitt, Larry; Fukuda, Seiya; Zoellner, Lori A.; Feeny, Norah C.
2008-01-01
Very little is known about what factors influence women's treatment preferences after a sexual assault. To learn more about these factors, data were collected from 273 women who read a standard "if this happened to you, what would you do" scenario describing a sexual assault and subsequent trauma-related psychiatric symptoms. After reading…
ERIC Educational Resources Information Center
Siwatu, Kamau Oginga; Putman, S. Michael; Starker-Glass, Tehia V.; Lewis, Chance W.
2017-01-01
This article reports on the development and initial validation of the Culturally Responsive Classroom Management Self-Efficacy Scale. Data from 380 preservice and inservice teachers were used to examine the psychometric properties of the instrument. Exploratory factor analysis results suggested a one-factor structure consisting of 35 items and the…
ERIC Educational Resources Information Center
Inbar-Furst, Hagit; Gumpel, Thomas P.
2015-01-01
Questionnaires were given to 392 elementary school teachers to examine help-seeking or help-avoidance in dealing with classroom behavioral problems. Scale validity was examined through a series of exploratory and confirmatory factor analyses. Using a series of multivariate regression analyses and structural equation modeling, we identified…
Measuring Student Learning in Social Justice Courses: The Diversity and Oppression Scale
ERIC Educational Resources Information Center
Windsor, Liliane Cambraia; Shorkey, Clay; Battle, DuWayne
2015-01-01
The Diversity and Oppression Scale (DOS) is a standardized instrument measuring self-reported student learning about diversity and oppression based on requirements of the Council on Social Work Education. DOS was tested with social work students in 2 major North American universities. Factor structure was examined using exploratory factor analysis…
Callous-Unemotional Traits in a Community Sample of Adolescents
ERIC Educational Resources Information Center
Essau, Cecilia A.; Sasagawa, Satoko; Frick, Paul J.
2006-01-01
This study examined the structure, distribution, and correlates of a new measure of self-reported callous-unemotional (CU) traits in 1,443 adolescents (774 boys, 669 girls) between the ages of 13 to 18 years. The Inventory of Callous-Unemotional Traits was subjected to exploratory factor analysis and confirmatory factor analysis. Exploratory…
ERIC Educational Resources Information Center
Worrell, Frank C.; Mello, Zena R.
2007-01-01
In this study, the authors examined the reliability, structural validity, and concurrent validity of Zimbardo Time Perspective Inventory (ZTPI) scores in a group of 815 academically talented adolescents. Reliability estimates of the purported factors' scores were in the low to moderate range. Exploratory factor analysis supported a five-factor…
ERIC Educational Resources Information Center
Gokce, Asiye Toker
2017-01-01
This study aimed to develop a valid and reliable measurement tool to enhance ethical evaluation literature. The tool consists of two subscales named "Bases of ethical evaluation," and "Grounds of ethical evaluation." In order to determine the factor structure of the scales, both exploratory and confirmatory factor analyses were…
Influence of Lexical Factors on Word-Finding Accuracy, Error Patterns, and Substitution Types
ERIC Educational Resources Information Center
Newman, Rochelle S.; German, Diane J.; Jagielko, Jennifer R.
2018-01-01
This retrospective, exploratory investigation examined the types of target words that 66 children with/without word-finding difficulties (WFD) had difficulty naming, and the types of errors they made. Words were studied with reference to lexical factors (LFs) that might influence naming performance: word frequency, familiarity, length, phonotactic…
Development and Preliminary Validation of the Collective Efficacy Questionnaire for Sports
ERIC Educational Resources Information Center
Short, Sandra E.; Sullivan, Philip; Feltz, Deborah L.
2005-01-01
This study presents the development and preliminary validation of the Collective Efficacy Questionnaire for Sports (CEQS). The study was conducted in 3 phases. In Phase 1, a 42-item questionnaire was developed and tested with 271 college-aged student-athletes. An exploratory factor analysis revealed 5 collective efficacy factors with 27 items…
Childhood Sexual Abuse Severity Reconsidered: A Factor Structure of CSA Characteristics
ERIC Educational Resources Information Center
Young, T. Lorraine; Riggs, Matt; Robinson, Jill L.
2011-01-01
To address the lack of empirically grounded measures of childhood sexual abuse severity, a survey of self-report items was developed following a thorough review of the childhood sexual abuse literature. An exploratory factor analysis was conducted using data collected from a convenience sample of college students that included 275 females and…
Development and Assessment of the Social Issues Advocacy Scale
ERIC Educational Resources Information Center
Nilsson, Johanna E.; Marszalek, Jacob M.; Linnemeyer, Rachel M.; Bahner, Angela D.; Misialek, Leah Hanson
2011-01-01
This article describes the development and the initial psychometric evaluation of the Social Issues Advocacy Scale in two studies. In the first study, an exploratory factor analysis (n = 278) revealed a four-factor scale, accounting for 71.4% of the variance, measuring different aspects of social issue advocacy: Political and Social Advocacy,…