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Sample records for item set mining

  1. Finding neural assemblies with frequent item set mining

    PubMed Central

    Picado-Muiño, David; Borgelt, Christian; Berger, Denise; Gerstein, George; Grün, Sonja

    2013-01-01

    Cell assemblies, defined as groups of neurons exhibiting precise spike coordination, were proposed as a model of network processing in the cortex. Fortunately, in recent years considerable progress has been made in multi-electrode recordings, which enable recording massively parallel spike trains of hundred(s) of neurons simultaneously. However, due to the challenges inherent in multivariate approaches, most studies in favor of cortical cell assemblies still resorted to analyzing pairwise interactions. However, to recover the underlying correlation structures, higher-order correlations need to be identified directly. Inspired by the Accretion method proposed by Gerstein et al. (1978) we propose a new assembly detection method based on frequent item set mining (FIM). In contrast to Accretion, FIM searches effectively and without redundancy for individual spike patterns that exceed a given support threshold. We study different search methods, with which the space of potential cell assemblies may be explored, as well as different test statistics and subset conditions with which candidate assemblies may be assessed and filtered. It turns out that a core challenge of cell assembly detection is the problem of multiple testing, which causes a large number of false discoveries. Unfortunately, criteria that address individual candidate assemblies and try to assess them with statistical tests and/or subset conditions do not help much to tackle this problem. The core idea of our new method is that in order to cope with the multiple testing problem one has to shift the focus of statistical testing from specific assemblies (consisting of a specific set of neurons) to spike patterns of a certain size (i.e., with a certain number of neurons). This significantly reduces the number of necessary tests, thus alleviating the multiple testing problem. We demonstrate that our method is able to reliably suppress false discoveries, while it is still very sensitive in discovering

  2. Gene expression data analysis using closed item set mining for labeled data.

    PubMed

    Rotter, Ana; Novak, Petra Kralj; Baebler, Spela; Toplak, Natasa; Blejec, Andrej; Lavrac, Nada; Gruden, Kristina

    2010-04-01

    This article presents an approach to microarray data analysis using discretised expression values in combination with a methodology of closed item set mining for class labeled data (RelSets). A statistical 2 x 2 factorial design analysis was run in parallel. The approach was validated on two independent sets of two-color microarray experiments using potato plants. Our results demonstrate that the two different analytical procedures, applied on the same data, are adequate for solving two different biological questions being asked. Statistical analysis is appropriate if an overview of the consequences of treatments and their interaction terms on the studied system is needed. If, on the other hand, a list of genes whose expression (upregulation or downregulation) differentiates between classes of data is required, the use of the RelSets algorithm is preferred. The used algorithms are freely available upon request to the authors.

  3. Efficient Algorithms for Segmentation of Item-Set Time Series

    NASA Astrophysics Data System (ADS)

    Chundi, Parvathi; Rosenkrantz, Daniel J.

    We propose a special type of time series, which we call an item-set time series, to facilitate the temporal analysis of software version histories, email logs, stock market data, etc. In an item-set time series, each observed data value is a set of discrete items. We formalize the concept of an item-set time series and present efficient algorithms for segmenting a given item-set time series. Segmentation of a time series partitions the time series into a sequence of segments where each segment is constructed by combining consecutive time points of the time series. Each segment is associated with an item set that is computed from the item sets of the time points in that segment, using a function which we call a measure function. We then define a concept called the segment difference, which measures the difference between the item set of a segment and the item sets of the time points in that segment. The segment difference values are required to construct an optimal segmentation of the time series. We describe novel and efficient algorithms to compute segment difference values for each of the measure functions described in the paper. We outline a dynamic programming based scheme to construct an optimal segmentation of the given item-set time series. We use the item-set time series segmentation techniques to analyze the temporal content of three different data sets—Enron email, stock market data, and a synthetic data set. The experimental results show that an optimal segmentation of item-set time series data captures much more temporal content than a segmentation constructed based on the number of time points in each segment, without examining the item set data at the time points, and can be used to analyze different types of temporal data.

  4. Preference Mining Using Neighborhood Rough Set Model on Two Universes

    PubMed Central

    2016-01-01

    Preference mining plays an important role in e-commerce and video websites for enhancing user satisfaction and loyalty. Some classical methods are not available for the cold-start problem when the user or the item is new. In this paper, we propose a new model, called parametric neighborhood rough set on two universes (NRSTU), to describe the user and item data structures. Furthermore, the neighborhood lower approximation operator is used for defining the preference rules. Then, we provide the means for recommending items to users by using these rules. Finally, we give an experimental example to show the details of NRSTU-based preference mining for cold-start problem. The parameters of the model are also discussed. The experimental results show that the proposed method presents an effective solution for preference mining. In particular, NRSTU improves the recommendation accuracy by about 19% compared to the traditional method. PMID:28044074

  5. Preference Mining Using Neighborhood Rough Set Model on Two Universes.

    PubMed

    Zeng, Kai

    2016-01-01

    Preference mining plays an important role in e-commerce and video websites for enhancing user satisfaction and loyalty. Some classical methods are not available for the cold-start problem when the user or the item is new. In this paper, we propose a new model, called parametric neighborhood rough set on two universes (NRSTU), to describe the user and item data structures. Furthermore, the neighborhood lower approximation operator is used for defining the preference rules. Then, we provide the means for recommending items to users by using these rules. Finally, we give an experimental example to show the details of NRSTU-based preference mining for cold-start problem. The parameters of the model are also discussed. The experimental results show that the proposed method presents an effective solution for preference mining. In particular, NRSTU improves the recommendation accuracy by about 19% compared to the traditional method.

  6. Set of Frequent Word Item sets as Feature Representation for Text with Indonesian Slang

    NASA Astrophysics Data System (ADS)

    Sa’adillah Maylawati, Dian; Putri Saptawati, G. A.

    2017-01-01

    Indonesian slang are commonly used in social media. Due to their unstructured syntax, it is difficult to extract their features based on Indonesian grammar for text mining. To do so, we propose Set of Frequent Word Item sets (SFWI) as text representation which is considered match for Indonesian slang. Besides, SFWI is able to keep the meaning of Indonesian slang with regard to the order of appearance sentence. We use FP-Growth algorithm with adding separation sentence function into the algorithm to extract the feature of SFWI. The experiments is done with text data from social media such as Facebook, Twitter, and personal website. The result of experiments shows that Indonesian slang were more correctly interpreted based on SFWI.

  7. Effects of Decreasing the Number of Common Items in Equating Link Item Sets.

    ERIC Educational Resources Information Center

    Hanick, Patricia L.; Huang, Chi-Yu

    The term "equating" refers to a statistical procedure that adjusts test scores on different forms of the same examination so that scores can be interpreted interchangeably. This study examines the impact of equating with fewer items than originally planned when items have been removed from the equating set for a variety of reasons. A…

  8. Identifying and Managing Local Item Dependence in Context-Dependent Item Sets.

    ERIC Educational Resources Information Center

    Allen, Sally; Sudweeks, Richard R.

    A study was conducted to identify local item dependence (LID) in the context-dependent item sets used in an examination prepared for use in an introductory university physics class and to assess the effects of LID on estimates of the reliability and standard error of measurement. Test scores were obtained for 487 students in the physics class. The…

  9. Mining multi-item drug adverse effect associations in spontaneous reporting systems

    PubMed Central

    2010-01-01

    Background Multi-item adverse drug event (ADE) associations are associations relating multiple drugs to possibly multiple adverse events. The current standard in pharmacovigilance is bivariate association analysis, where each single drug-adverse effect combination is studied separately. The importance and difficulty in the detection of multi-item ADE associations was noted in several prominent pharmacovigilance studies. In this paper we examine the application of a well established data mining method known as association rule mining, which we tailored to the above problem, and demonstrate its value. The method was applied to the FDAs spontaneous adverse event reporting system (AERS) with minimal restrictions and expectations on its output, an experiment that has not been previously done on the scale and generality proposed in this work. Results Based on a set of 162,744 reports of suspected ADEs reported to AERS and published in the year 2008, our method identified 1167 multi-item ADE associations. A taxonomy that characterizes the associations was developed based on a representative sample. A significant number (67% of the total) of potential multi-item ADE associations identified were characterized and clinically validated by a domain expert as previously recognized ADE associations. Several potentially novel ADEs were also identified. A smaller proportion (4%) of associations were characterized and validated as known drug-drug interactions. Conclusions Our findings demonstrate that multi-item ADEs are present and can be extracted from the FDA’s adverse effect reporting system using our methodology, suggesting that our method is a valid approach for the initial identification of multi-item ADEs. The study also revealed several limitations and challenges that can be attributed to both the method and quality of data. PMID:21044365

  10. Mining knowledge in astrophysical massive data sets

    NASA Astrophysics Data System (ADS)

    Brescia, Massimo; Longo, Giuseppe; Pasian, Fabio

    2010-11-01

    Modern scientific data mainly consist of huge data sets gathered by a very large number of techniques and stored in much diversified and often incompatible data repositories. More in general, in the e-science environment, it is considered as a critical and urgent requirement to integrate services across distributed, heterogeneous, dynamic “virtual organizations” formed by different resources within a single enterprise. In the last decade, Astronomy has become an immensely data-rich field due to the evolution of detectors (plates to digital to mosaics), telescopes and space instruments. The Virtual Observatory approach consists of the federation under common standards of all astronomical archives available worldwide, as well as data analysis, data mining and data exploration applications. The main drive behind such an effort is that once the infrastructure is complete, it will allow a new type of multi-wavelength, multi-epoch science, which can only be barely imagined. Data mining, or knowledge discovery in databases, while being the main methodology to extract the scientific information contained in such Massive Data Sets (MDS), poses crucial problems since it has to orchestrate complex problems posed by transparent access to different computing environments, scalability of algorithms, reusability of resources, etc. In the present paper we summarize the present status of the MDS in the Virtual Observatory and what is currently done and planned to bring advanced data mining methodologies in the case of the DAME (DAta Mining and Exploration) project.

  11. Double Mine Building, general view in setting; view northeast ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    Double Mine Building, general view in setting; view northeast - Fort McKinley, Double Mine Building, East side of East Side Drive, approximately 125 feet south of Weymouth Way, Great Diamond Island, Portland, Cumberland County, ME

  12. 48 CFR 552.219-70 - Allocation of Orders-Partially Set-Aside Items.

    Code of Federal Regulations, 2012 CFR

    2012-10-01

    ...-Partially Set-Aside Items. 552.219-70 Section 552.219-70 Federal Acquisition Regulations System GENERAL... and Clauses 552.219-70 Allocation of Orders—Partially Set-Aside Items. As prescribed in 519.508, insert the following clause: Allocation of Orders—Partially Set-Aside Items (SEP 1999) Where the...

  13. Method of data mining including determining multidimensional coordinates of each item using a predetermined scalar similarity value for each item pair

    DOEpatents

    Meyers, Charles E.; Davidson, George S.; Johnson, David K.; Hendrickson, Bruce A.; Wylie, Brian N.

    1999-01-01

    A method of data mining represents related items in a multidimensional space. Distance between items in the multidimensional space corresponds to the extent of relationship between the items. The user can select portions of the space to perceive. The user also can interact with and control the communication of the space, focusing attention on aspects of the space of most interest. The multidimensional spatial representation allows more ready comprehension of the structure of the relationships among the items.

  14. Data Mining Using Extensions of the Rough Set Model.

    ERIC Educational Resources Information Center

    Lingras, P. J.; Yao, Y. Y.

    1998-01-01

    Examines basic issues of data mining using the theory of rough sets, a recent proposal for generalizing classical set theory. Demonstrates that a generalized rough set model can be used for generating rules from incomplete databases. Discusses the importance of rule extraction from incomplete databases in data mining. (AEF)

  15. Multiple-Choice Item Difficulty: The Effects of Language and Distracter Set Similarity.

    ERIC Educational Resources Information Center

    Green, Kathy E.

    The purpose of this study was to determine whether item difficulty is significantly affected by language difficulty and response set convergence. Language difficulty was varied by increasing sentence (stem) length, increasing syntactic complexity, and substituting uncommon words for more familiar terms in the item stem. Item wording ranged from…

  16. Combining the Best of Two Standard Setting Methods: The Ordered Item Booklet Angoff

    ERIC Educational Resources Information Center

    Smith, Russell W.; Davis-Becker, Susan L.; O'Leary, Lisa S.

    2014-01-01

    This article describes a hybrid standard setting method that combines characteristics of the Angoff (1971) and Bookmark (Mitzel, Lewis, Patz & Green, 2001) methods. The proposed approach utilizes strengths of each method while addressing weaknesses. An ordered item booklet, with items sorted based on item difficulty, is used in combination…

  17. Identifying an Efficient Set of Items Sensitive to Clinical-Range Externalizing Problems in Children

    PubMed Central

    Petersen, Isaac T.; Bates, John E.; Dodge, Kenneth A.; Lansford, Jennifer E.; Pettit, Gregory S.

    2015-01-01

    The present study applied item response theory to identify an efficient set of items of the Achenbach Externalizing scale from the Child Behavior Checklist (CBCL; 33 items) and Teacher's Report Form (TRF; 35 items) that were sensitive to clinical-range scores. Mothers and teachers rated children's externalizing problems annually from ages 5 to 13 years in two independent samples (Ns = 585 and 1,199). Item properties for each rater across ages 5–8 and 9–13 were examined with item response theory. We identified 10 mother- and teacher-reported items from both samples based on the items' measurement precision for sub-clinical and clinical levels of externalizing problems: externalizing problems that involve meanness to others, destroying others' things, fighting, lying and cheating, attacking people, screaming, swearing/obscene language, temper tantrums, threatening people, and being loud. Scores on the scales using these items had strong reliability and psychometric properties, capturing nearly as much information as the full Externalizing scale for classifying clinical levels of externalizing problems. Scores on the scale with the 10 CBCL items had moderate accuracy, equivalent to the full Externalizing scale, in classifying diagnoses of conduct disorder based on a research diagnostic interview. Of course, comprehensive clinical assessment would consider additional items, dimensions of behavior, and sources of information, too, but it appears that the behaviors tapped by this select set of items may be core to externalizing psychopathology in children. PMID:26322800

  18. Identifying an efficient set of items sensitive to clinical-range externalizing problems in children.

    PubMed

    Petersen, Isaac T; Bates, John E; Dodge, Kenneth A; Lansford, Jennifer E; Pettit, Gregory S

    2016-05-01

    The present study applied item response theory to identify an efficient set of items of the Achenbach Externalizing scale from the Child Behavior Checklist (CBCL; 33 items) and Teacher's Report Form (TRF; 35 items) that were sensitive to clinical-range scores. Mothers and teachers rated children's externalizing problems annually from ages 5 to 13 years in 2 independent samples (Ns = 585 and 1,199). Item properties for each rater across ages 5-8 and 9-13 were examined with item response theory. We identified 10 mother- and teacher-reported items from both samples based on the items' measurement precision for subclinical and clinical levels of externalizing problems: externalizing problems that involve meanness to others, destroying others' things, fighting, lying and cheating, attacking people, screaming, swearing/obscene language, temper tantrums, threatening people, and being loud. Scores on the scales using these items had strong reliability and psychometric properties, capturing nearly as much information as the full Externalizing scale for classifying clinical levels of externalizing problems. Scores on the scale with the 10 CBCL items had moderate accuracy, equivalent to the full Externalizing scale, in classifying diagnoses of conduct disorder based on a research diagnostic interview. Of course, comprehensive clinical assessment would consider additional items, dimensions of behavior, and sources of information, too, but it appears that the behaviors tapped by this select set of items may be core to externalizing psychopathology in children. (PsycINFO Database Record

  19. Using Set Covering with Item Sampling to Analyze the Infeasibility of Linear Programming Test Assembly Models

    ERIC Educational Resources Information Center

    Huitzing, Hiddo A.

    2004-01-01

    This article shows how set covering with item sampling (SCIS) methods can be used in the analysis and preanalysis of linear programming models for test assembly (LPTA). LPTA models can construct tests, fulfilling a set of constraints set by the test assembler. Sometimes, no solution to the LPTA model exists. The model is then said to be…

  20. Physics Mining of Multi-Source Data Sets

    NASA Technical Reports Server (NTRS)

    Helly, John; Karimabadi, Homa; Sipes, Tamara

    2012-01-01

    Powerful new parallel data mining algorithms can produce diagnostic and prognostic numerical models and analyses from observational data. These techniques yield higher-resolution measures than ever before of environmental parameters by fusing synoptic imagery and time-series measurements. These techniques are general and relevant to observational data, including raster, vector, and scalar, and can be applied in all Earth- and environmental science domains. Because they can be highly automated and are parallel, they scale to large spatial domains and are well suited to change and gap detection. This makes it possible to analyze spatial and temporal gaps in information, and facilitates within-mission replanning to optimize the allocation of observational resources. The basis of the innovation is the extension of a recently developed set of algorithms packaged into MineTool to multi-variate time-series data. MineTool is unique in that it automates the various steps of the data mining process, thus making it amenable to autonomous analysis of large data sets. Unlike techniques such as Artificial Neural Nets, which yield a blackbox solution, MineTool's outcome is always an analytical model in parametric form that expresses the output in terms of the input variables. This has the advantage that the derived equation can then be used to gain insight into the physical relevance and relative importance of the parameters and coefficients in the model. This is referred to as physics-mining of data. The capabilities of MineTool are extended to include both supervised and unsupervised algorithms, handle multi-type data sets, and parallelize it.

  1. Writing context-dependent item sets that reflect critical thinking learning outcomes.

    PubMed

    Su, Whei Ming

    2007-01-01

    Faculty in a medical-surgical nursing course developed learning outcomes to foster critical thinking skills involved in clinical reasoning. To facilitate students' abilities to make effective clinical judgments, direct teaching of thinking skills was incorporated into nursing content instruction. This instructional design challenged faculty to develop test items that would permit direct observation of students' thought processes. The author describes how context-dependent item sets were developed to meet this evaluation need.

  2. The Consumer Assessment of Healthcare Providers and Systems (CAHPS®) Cultural Competence (CC) Item Set

    PubMed Central

    Weech-Maldonado, Robert; Carle, Adam; Weidmer, Beverly; Hurtado, Margarita; Ngo-Metzger, Quyen; Hays, Ron D.

    2013-01-01

    Background There is a need for reliable and valid measures of cultural competence from the patient’s perspective. Objective This paper evaluates the reliability and validity of the Consumer Assessments of Healthcare Providers and Systems (CAHPS®) Cultural Competence (CC) item set. Research Design Using 2008 survey data, we assessed the internal consistency of the CAHPS CC scales using Cronbach alphas, and examined the validity of the measures using exploratory and confirmatory factor analysis, multitrait scaling analysis, and regression analysis. Subjects A random stratified sample (based on race/ethnicity and language) of 991 enrollees, less than 65 years old, from two Medicaid managed care plans in California and New York. Measures CAHPS CC item set after excluding screener items and ratings. Results Confirmatory factor analysis (CFI= 0.98; TLI= 0.98; RMSEA= 0.06) provided support for a seven-factor structure: Doctor Communication-Positive Behaviors; Doctor Communication-Negative Behaviors; Doctor Communication-Health Promotion; Doctor Communication-Alternative Medicine; Shared Decision Making; Equitable Treatment; and Trust. Item--total correlations (corrected for item overlap) for the 7 scales exceeded 0.40. Exploratory factor analysis showed support for one additional factor: Access to Interpreter Services. Internal consistency reliability estimates ranged from 0.58 (Alternative Medicine) to 0.92 (Positive Behaviors), and was 0.70 or higher for four of the eight composites. All composites were positively and significantly associated with the overall doctor rating. Conclusions The CAHPS CC 26-item set demonstrates adequate measurement properties, and can be used as a supplemental item set to the CAHPS Clinician and Group Surveys in assessing culturally competent care from the patient’s perspective. PMID:22895226

  3. Optimal Assembly of Tests with Item Sets. Research Report 98-12.

    ERIC Educational Resources Information Center

    van der Linden, Wim J.

    Six methods for assembling tests from a pool with an item-set structure are presented. All methods are computational and based on the technique of mixed integer programming. The methods are evaluated using such criteria as the feasibility of their linear programming problems and their expected solution times. The methods are illustrated for two…

  4. Using Data Mining to Predict K-12 Students' Performance on Large-Scale Assessment Items Related to Energy

    ERIC Educational Resources Information Center

    Liu, Xiufeng; Ruiz, Miguel E.

    2008-01-01

    This article reports a study on using data mining to predict K-12 students' competence levels on test items related to energy. Data sources are the 1995 Third International Mathematics and Science Study (TIMSS), 1999 TIMSS-Repeat, 2003 Trend in International Mathematics and Science Study (TIMSS), and the National Assessment of Educational…

  5. Conversion of Proportion-Correct Standard-Setting Judgments to Cutoff Scores on the Item Response Theory Theta Scale

    ERIC Educational Resources Information Center

    Hurtz, Gregory M.; Jones, J. Patrick; Jones, Christian N.

    2008-01-01

    This study compares the efficacy of different strategies for translating item-level, proportion-correct standard-setting judgments into a theta-metric test cutoff score for use with item response theory (IRT) scoring, using Monte Carlo methods. Simulated Angoff-type ratings, consisting of 1,000 independent 75 Item x13 Rater matrices, were…

  6. The Impact of Test Dimensionality, Common-Item Set Format, and Scale Linking Methods on Mixed-Format Test Equating

    ERIC Educational Resources Information Center

    Öztürk-Gübes, Nese; Kelecioglu, Hülya

    2016-01-01

    The purpose of this study was to examine the impact of dimensionality, common-item set format, and different scale linking methods on preserving equity property with mixed-format test equating. Item response theory (IRT) true-score equating (TSE) and IRT observed-score equating (OSE) methods were used under common-item nonequivalent groups design.…

  7. Method using a density field for locating related items for data mining

    DOEpatents

    Wylie, Brian N.

    2002-01-01

    A method for locating related items in a geometric space transforms relationships among items to geometric locations. The method locates items in the geometric space so that the distance between items corresponds to the degree of relatedness. The method facilitates communication of the structure of the relationships among the items. The method makes use of numeric values as a measure of similarity between each pairing of items. The items are given initial coordinates in the space. An energy is then determined for each item from the item's distance and similarity to other items, and from the density of items assigned coordinates near the item. The distance and similarity component can act to draw items with high similarities close together, while the density component can act to force all items apart. If a terminal condition is not yet reached, then new coordinates can be determined for one or more items, and the energy determination repeated. The iteration can terminate, for example, when the total energy reaches a threshold, when each item's energy is below a threshold, after a certain amount of time or iterations.

  8. Dynamic triggering of microseismicity in a mine setting

    NASA Astrophysics Data System (ADS)

    Castellanos, Fernando; Van der Baan, Mirko

    2015-08-01

    We examine spatio-temporal patterns of microseismicity recorded during one month in an underground mine by addressing three key questions: (1) where does the seismicity occur? (2) Why does it occur in these locations? and (3) what triggers it? To obtain accurate locations, we perform a multiplet analysis and use a modified version of the double-difference (DD) relocation method. This approach leads to highly accurate relative event locations and requires groups of multiplets only. Most of the 281 relocated events are close to the main shaft and tunnels; thus we postulate seismicity is facilitated by stresses associated with the potential for subsidence in addition to the hoop stresses acting on the two vertical shafts. Most events occurred during certain hours of the day and there is a 68 per cent correlation with reported rock removal; therefore, it is likely they were triggered by static and dynamic stress perturbations caused by the transportation of debris along tunnels instead of our initial guess that blasting was the principal causative mechanism. Given that seismicity is present around the main shaft but absent close to the second one, we conclude that for seismicity to occur both a favourable stress state and additional external perturbing forces must exist, thus leading to dynamic event triggering in an initially stable stress situation. This analysis provides more insight into anthropogenic processes that might trigger seismicity, thereby facilitating identification of hazardous and potential damage areas in mine settings.

  9. Setting priorities for abandoned-mine land research. Final report

    SciTech Connect

    Not Available

    1987-01-01

    In FY 1987, Congress transferred the abandoned mine land (AML) research program and $1.9 million in funding from the Office of Surface Mining (OSM) to the Bureau of Mines (BOM). Subsequently the BOM asked National Research Council (NRC) to recommend research priorities and criteria for evaluating AML reclamation research proposals. The committee identified the highest-priority research problems which are: water quality; subsidence; mine waste; and revegetation, are ranked as the top four research priorities in all regions.

  10. Effects of Individual Optimization in Setting the Boundaries of Dichotomous Items on the Accuracy of Estimation

    ERIC Educational Resources Information Center

    Samejima, Fumiko

    1977-01-01

    The accuracy of estimation of the subjects' latent ability maintained by tailoring for each testee the order of item presentation and the border of item dichotomization was compared to the information provided by the original graded test items. (RC)

  11. Discovering Psychological Principles by Mining Naturally Occurring Data Sets.

    PubMed

    Goldstone, Robert L; Lupyan, Gary

    2016-07-01

    The very expertise with which psychologists wield their tools for achieving laboratory control may have had the unwelcome effect of blinding psychologists to the possibilities of discovering principles of behavior without conducting experiments. When creatively interrogated, a diverse range of large, real-world data sets provides powerful diagnostic tools for revealing principles of human judgment, perception, categorization, decision-making, language use, inference, problem solving, and representation. Examples of these data sets include patterns of website links, dictionaries, logs of group interactions, collections of images and image tags, text corpora, history of financial transactions, trends in twitter tag usage and propagation, patents, consumer product sales, performance in high-stakes sporting events, dialect maps, and scientific citations. The goal of this issue is to present some exemplary case studies of mining naturally existing data sets to reveal important principles and phenomena in cognitive science, and to discuss some of the underlying issues involved with conducting traditional experiments, analyses of naturally occurring data, computational modeling, and the synthesis of all three methods.

  12. Method of locating related items in a geometric space for data mining

    DOEpatents

    Hendrickson, Bruce A.

    1999-01-01

    A method for locating related items in a geometric space transforms relationships among items to geometric locations. The method locates items in the geometric space so that the distance between items corresponds to the degree of relatedness. The method facilitates communication of the structure of the relationships among the items. The method is especially beneficial for communicating databases with many items, and with non-regular relationship patterns. Examples of such databases include databases containing items such as scientific papers or patents, related by citations or keywords. A computer system adapted for practice of the present invention can include a processor, a storage subsystem, a display device, and computer software to direct the location and display of the entities. The method comprises assigning numeric values as a measure of similarity between each pairing of items. A matrix is constructed, based on the numeric values. The eigenvectors and eigenvalues of the matrix are determined. Each item is located in the geometric space at coordinates determined from the eigenvectors and eigenvalues. Proper construction of the matrix and proper determination of coordinates from eigenvectors can ensure that distance between items in the geometric space is representative of the numeric value measure of the items' similarity.

  13. Method of locating related items in a geometric space for data mining

    DOEpatents

    Hendrickson, B.A.

    1999-07-27

    A method for locating related items in a geometric space transforms relationships among items to geometric locations. The method locates items in the geometric space so that the distance between items corresponds to the degree of relatedness. The method facilitates communication of the structure of the relationships among the items. The method is especially beneficial for communicating databases with many items, and with non-regular relationship patterns. Examples of such databases include databases containing items such as scientific papers or patents, related by citations or keywords. A computer system adapted for practice of the present invention can include a processor, a storage subsystem, a display device, and computer software to direct the location and display of the entities. The method comprises assigning numeric values as a measure of similarity between each pairing of items. A matrix is constructed, based on the numeric values. The eigenvectors and eigenvalues of the matrix are determined. Each item is located in the geometric space at coordinates determined from the eigenvectors and eigenvalues. Proper construction of the matrix and proper determination of coordinates from eigenvectors can ensure that distance between items in the geometric space is representative of the numeric value measure of the items' similarity. 12 figs.

  14. Bayesian Modal Estimation of the Four-Parameter Item Response Model in Real, Realistic, and Idealized Data Sets.

    PubMed

    Waller, Niels G; Feuerstahler, Leah

    2017-03-17

    In this study, we explored item and person parameter recovery of the four-parameter model (4PM) in over 24,000 real, realistic, and idealized data sets. In the first analyses, we fit the 4PM and three alternative models to data from three Minnesota Multiphasic Personality Inventory-Adolescent form factor scales using Bayesian modal estimation (BME). Our results indicated that the 4PM fits these scales better than simpler item Response Theory (IRT) models. Next, using the parameter estimates from these real data analyses, we estimated 4PM item parameters in 6,000 realistic data sets to establish minimum sample size requirements for accurate item and person parameter recovery. Using a factorial design that crossed discrete levels of item parameters, sample size, and test length, we also fit the 4PM to an additional 18,000 idealized data sets to extend our parameter recovery findings. Our combined results demonstrated that 4PM item parameters and parameter functions (e.g., item response functions) can be accurately estimated using BME in moderate to large samples (N ⩾ 5, 000) and person parameters can be accurately estimated in smaller samples (N ⩾ 1, 000). In the supplemental files, we report annotated [Formula: see text] code that shows how to estimate 4PM item and person parameters in [Formula: see text] (Chalmers, 2012 ).

  15. Large-Scale Constraint-Based Pattern Mining

    ERIC Educational Resources Information Center

    Zhu, Feida

    2009-01-01

    We studied the problem of constraint-based pattern mining for three different data formats, item-set, sequence and graph, and focused on mining patterns of large sizes. Colossal patterns in each data formats are studied to discover pruning properties that are useful for direct mining of these patterns. For item-set data, we observed robustness of…

  16. Identification of Differential Item Functioning in Multiple-Group Settings: A Multivariate Outlier Detection Approach

    ERIC Educational Resources Information Center

    Magis, David; De Boeck, Paul

    2011-01-01

    We focus on the identification of differential item functioning (DIF) when more than two groups of examinees are considered. We propose to consider items as elements of a multivariate space, where DIF items are outlying elements. Following this approach, the situation of multiple groups is a quite natural case. A robust statistics technique is…

  17. Data mining in big data sets of spectroscopic surveys

    NASA Astrophysics Data System (ADS)

    Luo, A.-Li

    2015-08-01

    More and more spectroscopic surveys provide many big datasets, in which various rare objects could be found. In this presentation, we suggested two different data mining approaches based on spectral feature by detection and machine learning way respectively. The most difficult thing of data mining is try to understand the result, and most of found outliers were finally identified as bad data. Candidates need follow up observations or multi waveband data to be confirmed. Some successful examples of newly discovered rare objects in SDSS and LAMOST data release are presented in this talk.

  18. Discrete quantity judgments in the great apes (Pan paniscus, Pan troglodytes, Gorilla gorilla, Pongo pygmaeus): the effect of presenting whole sets versus item-by-item.

    PubMed

    Hanus, Daniel; Call, Josep

    2007-08-01

    The authors examined quantity-based judgments for up to 10 items for simultaneous and sequential whole sets as well as for sequentially dropped items in chimpanzees (Pan troglodytes), gorillas (Gorilla gorilla), bonobos (Pan paniscus), and orangutans (Pongo pygmaeus). In Experiment 1, subjects had to choose the larger of 2 quantities presented in 2 separate dishes either simultaneously or 1 dish after the other. Representatives of all species were capable of selecting the larger of 2 quantities in both conditions, even when the quantities were large and the numerical distance between them was small. In Experiment 2, subjects had to select between the same food quantities sequentially dropped into 2 opaque cups so that none of the quantities were ever viewed as a whole. The authors found some evidence (albeit weaker) that subjects were able to select the larger quantity of items. Furthermore, the authors found no performance breakdown with the inclusion of certain quantities. Instead, the ratio between quantities was the best performance predictor. The authors conclude that quantity-based judgments rely on an analogical system, not a discrete object file model or perceptual estimation mechanism, such as subitizing.

  19. Evidence for a Global Sampling Process in Extraction of Summary Statistics of Item Sizes in a Set.

    PubMed

    Tokita, Midori; Ueda, Sachiyo; Ishiguchi, Akira

    2016-01-01

    Several studies have shown that our visual system may construct a "summary statistical representation" over groups of visual objects. Although there is a general understanding that human observers can accurately represent sets of a variety of features, many questions on how summary statistics, such as an average, are computed remain unanswered. This study investigated sampling properties of visual information used by human observers to extract two types of summary statistics of item sets, average and variance. We presented three models of ideal observers to extract the summary statistics: a global sampling model without sampling noise, global sampling model with sampling noise, and limited sampling model. We compared the performance of an ideal observer of each model with that of human observers using statistical efficiency analysis. Results suggest that summary statistics of items in a set may be computed without representing individual items, which makes it possible to discard the limited sampling account. Moreover, the extraction of summary statistics may not necessarily require the representation of individual objects with focused attention when the sets of items are larger than 4.

  20. Evidence for a Global Sampling Process in Extraction of Summary Statistics of Item Sizes in a Set

    PubMed Central

    Tokita, Midori; Ueda, Sachiyo; Ishiguchi, Akira

    2016-01-01

    Several studies have shown that our visual system may construct a “summary statistical representation” over groups of visual objects. Although there is a general understanding that human observers can accurately represent sets of a variety of features, many questions on how summary statistics, such as an average, are computed remain unanswered. This study investigated sampling properties of visual information used by human observers to extract two types of summary statistics of item sets, average and variance. We presented three models of ideal observers to extract the summary statistics: a global sampling model without sampling noise, global sampling model with sampling noise, and limited sampling model. We compared the performance of an ideal observer of each model with that of human observers using statistical efficiency analysis. Results suggest that summary statistics of items in a set may be computed without representing individual items, which makes it possible to discard the limited sampling account. Moreover, the extraction of summary statistics may not necessarily require the representation of individual objects with focused attention when the sets of items are larger than 4. PMID:27242622

  1. Set of Criteria for Efficiency of the Process Forming the Answers to Multiple-Choice Test Items

    ERIC Educational Resources Information Center

    Rybanov, Alexander Aleksandrovich

    2013-01-01

    Is offered the set of criteria for assessing efficiency of the process forming the answers to multiple-choice test items. To increase accuracy of computer-assisted testing results, it is suggested to assess dynamics of the process of forming the final answer using the following factors: loss of time factor and correct choice factor. The model…

  2. Mixed-Format Test Score Equating: Effect of Item-Type Multidimensionality, Length and Composition of Common-Item Set, and Group Ability Difference

    ERIC Educational Resources Information Center

    Wang, Wei

    2013-01-01

    Mixed-format tests containing both multiple-choice (MC) items and constructed-response (CR) items are now widely used in many testing programs. Mixed-format tests often are considered to be superior to tests containing only MC items although the use of multiple item formats leads to measurement challenges in the context of equating conducted under…

  3. Improving the Scalability of an Exact Approach for Frequent Item Set Hiding

    ERIC Educational Resources Information Center

    LaMacchia, Carolyn

    2013-01-01

    Technological advances have led to the generation of large databases of organizational data recognized as an information-rich, strategic asset for internal analysis and sharing with trading partners. Data mining techniques can discover patterns in large databases including relationships considered strategically relevant to the owner of the data.…

  4. Assessing Dimensionality of a Set of Items--Comparison of Different Approaches.

    ERIC Educational Resources Information Center

    Nandakumar, Ratna

    The performance of the following four methodologies for assessing unidimensionality was examined: (1) DIMTEST; (2) the approach of P. W. Holland and P. R. Rosenbaum; (3) linear factor analysis; and (4) non-linear factor analysis. Each method is examined and compared with other methods using simulated data sets and real data sets. Seven data sets,…

  5. Mining temporal data sets: hypoplastic left heart syndrome case study

    NASA Astrophysics Data System (ADS)

    Kusiak, Andrew; Caldarone, Christopher A.; Kelleher, Michael D.; Lamb, Fred S.; Persoon, Thomas J.; Gan, Yuan; Burns, Alex

    2003-03-01

    Hypoplastic left heart syndrome (HLHS) affects infants and is uniformly fatal without surgery. Post-surgery mortality rates are highly variable and dependent on postoperative management. The high mortality after the first stage surgery usually occurs within the first few days after procedure. Typically, the deaths are attributed to the unstable balance between the pulmonary and systemic circulations. An experienced team of physicians, nurses, and therapists is required to successfully manage the infant. However, even the most experienced teams report significant mortality due to the extremely complex relationships among physiologic parameters in a given patient. A data acquisition system was developed for the simultaneous collection of 73 physiologic, laboratory, and nurse-assessed variables. Data records were created at intervals of 30 seconds. An expert-validated wellness score was computed for each data record. A training data set consisting of over 5000 data records from multiple patients was collected. Preliminary results demonstratd that the knowledge discovery approach was over 94.57% accurate in predicting the "wellness score" of an infant. The discovered knowledge can improve care of complex patients by development of an intelligent simulator that can be used to support decisions.

  6. InfVis--platform-independent visual data mining of multidimensional chemical data sets.

    PubMed

    Oellien, Frank; Ihlenfeldt, Wolf-Dietrich; Gasteiger, Johann

    2005-01-01

    The tremendous increase of chemical data sets, both in size and number, and the simultaneous desire to speed up the drug discovery process has resulted in an increasing need for a new generation of computational tools that assist in the extraction of information from data and allow for rapid and in-depth data mining. During recent years, visual data mining has become an important tool within the life sciences and drug discovery area with the potential to help avoiding data analysis from turning into a bottleneck. In this paper, we present InfVis, a platform-independent visual data mining tool for chemists, who usually only have little experience with classical data mining tools, for the visualization, exploration, and analysis of multivariate data sets. InfVis represents multidimensional data sets by using intuitive 3D glyph information visualization techniques. Interactive and dynamic tools such as dynamic query devices allow real-time, interactive data set manipulations and support the user in the identification of relationships and patterns. InfVis has been implemented in Java and Java3D and can be run on a broad range of platforms and operating systems. It can also be embedded as an applet in Web-based interfaces. We will present in this paper examples detailing the analysis of a reaction database that demonstrate how InfVis assists chemists in identifying and extracting hidden information.

  7. Toolbox of multiple-item measures aligning with the ICF Core Sets for children and youth with cerebral palsy.

    PubMed

    Schiariti, Verónica; Tatla, Sandy; Sauve, Karen; O'Donnell, Maureen

    2017-03-01

    Selecting appropriate measure(s) for clinical and/or research applications for children and youth with Cerebral Palsy (CP) poses many challenges. The newly developed International Classification of Functioning, Disability and Health (ICF) Core Sets for children and youth with CP serve as universal guidelines for assessment, intervention and follow-up. The aims of this study were: 1) to identify valid and reliable measures used in studies with children and youth with CP, 2) to characterize the content of each measure using the ICF Core Sets for children and youth with CP as a framework, and finally 3) to create a toolbox of psychometrically sound measures covering the content of each ICF Core Set for children and youth with CP. All clearly defined multiple-item measures used in studies with CP between 1998 and 2015 were identified. Psychometric properties were extracted when available. Construct of the measures were linked to the ICF Core Sets. Overall, 83 multiple-item measures were identified. Of these, 68 measures (80%) included reliability and validity testing. The majority of the measures were discriminative, generic and designed for school-aged children. The degree to which measures with proven psychometric properties represented the ICF Core Sets for children and youth with CP varied considerably. Finally, 25 valid and reliable measures aligned highly with the content of the ICF Core Sets, and as such, these measures are proposed as a novel ICF Core Sets-based toolbox of measures for CP. Our results will guide professionals seeking appropriate measures to meet their research and clinical needs worldwide.

  8. Clinical and pharmacogenomic data mining: 4. The FANO program and command set as an example of tools for biomedical discovery and evidence based medicine.

    PubMed

    Robson, Barry

    2008-09-01

    The culmination of methodology explored and developed in the preceding three papers is described in terms of the FANO program (also known as CliniMiner) and specifically in terms of the contemporary command set for data mining. This provides a more detailed account of how strategies were implemented in applications described elsewhere, in the previous papers in the series and in a paper on the analysis of 667 000 patient records. Although it is not customary to think of a command set as the output of research, it represents the elements and strategies for data mining biomedical and clinical data with many parameters, that is, in a high dimensional space that requires skilful navigation. The intent is not to promote FANO per se, but to report its science and methodologies. Typical example rules from traditional data mining are that A and B and C associate, or IF A & B THEN C. We need much higher complexity rules for clinical data especially with inclusion of proteomics and genomics. FANO's specific goal is to be able routinely to extract from clinical record repositories and other data not only the complex rules required for biomedical research and the clinical practice of evidence based medicine, but to quantify their uncertainty, that is, their essentially probabilistic nature. The underlying information and number theoretic basis previously described is less of an issue here, being "under the hood", although the fundamental role and use of the Incomplete (generalized) Riemann Zeta Function as a general surprise measure is highlighted, along with its covariance or multivariance analogue, as it appears to be a unique and powerful feature. Another characteristic described is the very general tactic of the metadata operator ':='. It allows decomposition of diverse data types such as trees, spreadsheets, biosequences, sets of objects, amorphous data collections with repeating items, XML structures, and so forth into universally atomic data items with or without

  9. Diesel exhaust and coal mine dust: lung cancer risk in occupational settings

    SciTech Connect

    Hoffmann, B.; Jockel, K.H.

    2006-09-15

    Conflicting evidence on the carcinogenicity of diesel exhaust (DE) and coal mine dust in occupational settings exist. Exposure measurement in most studies is inferred on the basis of job classifications and may lead to misclassification. Confounding behavioral factors (i.e., smoking) and occupational risk factors (exposure to asbestos, arsenic, radon) need to be considered. We evaluated the epidemiological evidence and current findings of the carcinogenicity of DE and coal mine dust in occupational settings. Pertaining literature was identified through Medline search and recent review articles. Strengths and limitations of recent approaches are discussed. Many epidemiological studies have addressed the question of carcinogenicity in workers exposed to DE, and most showed a low-to-medium increase in the risk of bronchial carcinoma. The pooled relative risk (RR) estimates lie between 1.33 and 1.47, and a consistent rise in risk across various job categories and study designs point to a causal relationship. Data on the carcinogenicity of coal mine dust are less consistent and the potential for confounding by unmeasured risk factors (arsenic, radon, DE) are higher. While silica as one of its components has been evaluated as carcinogenic, there is inadequate evidence for the carcinogenicity of pure coal dust according to the International Agency for Research on Cancer (IARC). There is sufficient evidence for a causal relationship between DE and lung cancer in occupational settings. The evidence for coal mine dust is less convincing, but individual studies show an increase in risk of lung cancer in exposed workers. 4 refs.

  10. Testing whether the DSM-5 personality disorder trait model can be measured with a reduced set of items: An item response theory investigation of the Personality Inventory for DSM-5.

    PubMed

    Maples, Jessica L; Carter, Nathan T; Few, Lauren R; Crego, Cristina; Gore, Whitney L; Samuel, Douglas B; Williamson, Rachel L; Lynam, Donald R; Widiger, Thomas A; Markon, Kristian E; Krueger, Robert F; Miller, Joshua D

    2015-12-01

    The fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) includes an alternative model of personality disorders (PDs) in Section III, consisting in part of a pathological personality trait model. To date, the 220-item Personality Inventory for DSM-5 (PID-5; Krueger, Derringer, Markon, Watson, & Skodol, 2012) is the only extant self-report instrument explicitly developed to measure this pathological trait model. The present study used item response theory-based analyses in a large sample (n = 1,417) to investigate whether a reduced set of 100 items could be identified from the PID-5 that could measure the 25 traits and 5 domains. This reduced set of PID-5 items was then tested in a community sample of adults currently receiving psychological treatment (n = 109). Across a wide range of criterion variables including NEO PI-R domains and facets, DSM-5 Section II PD scores, and externalizing and internalizing outcomes, the correlational profiles of the original and reduced versions of the PID-5 were nearly identical (rICC = .995). These results provide strong support for the hypothesis that an abbreviated set of PID-5 items can be used to reliably, validly, and efficiently assess these personality disorder traits. The ability to assess the DSM-5 Section III traits using only 100 items has important implications in that it suggests these traits could still be measured in settings in which assessment-related resources (e.g., time, compensation) are limited.

  11. Knowledge Mining from Clinical Datasets Using Rough Sets and Backpropagation Neural Network

    PubMed Central

    Nahato, Kindie Biredagn; Harichandran, Khanna Nehemiah; Arputharaj, Kannan

    2015-01-01

    The availability of clinical datasets and knowledge mining methodologies encourages the researchers to pursue research in extracting knowledge from clinical datasets. Different data mining techniques have been used for mining rules, and mathematical models have been developed to assist the clinician in decision making. The objective of this research is to build a classifier that will predict the presence or absence of a disease by learning from the minimal set of attributes that has been extracted from the clinical dataset. In this work rough set indiscernibility relation method with backpropagation neural network (RS-BPNN) is used. This work has two stages. The first stage is handling of missing values to obtain a smooth data set and selection of appropriate attributes from the clinical dataset by indiscernibility relation method. The second stage is classification using backpropagation neural network on the selected reducts of the dataset. The classifier has been tested with hepatitis, Wisconsin breast cancer, and Statlog heart disease datasets obtained from the University of California at Irvine (UCI) machine learning repository. The accuracy obtained from the proposed method is 97.3%, 98.6%, and 90.4% for hepatitis, breast cancer, and heart disease, respectively. The proposed system provides an effective classification model for clinical datasets. PMID:25821508

  12. Knowledge mining from clinical datasets using rough sets and backpropagation neural network.

    PubMed

    Nahato, Kindie Biredagn; Harichandran, Khanna Nehemiah; Arputharaj, Kannan

    2015-01-01

    The availability of clinical datasets and knowledge mining methodologies encourages the researchers to pursue research in extracting knowledge from clinical datasets. Different data mining techniques have been used for mining rules, and mathematical models have been developed to assist the clinician in decision making. The objective of this research is to build a classifier that will predict the presence or absence of a disease by learning from the minimal set of attributes that has been extracted from the clinical dataset. In this work rough set indiscernibility relation method with backpropagation neural network (RS-BPNN) is used. This work has two stages. The first stage is handling of missing values to obtain a smooth data set and selection of appropriate attributes from the clinical dataset by indiscernibility relation method. The second stage is classification using backpropagation neural network on the selected reducts of the dataset. The classifier has been tested with hepatitis, Wisconsin breast cancer, and Statlog heart disease datasets obtained from the University of California at Irvine (UCI) machine learning repository. The accuracy obtained from the proposed method is 97.3%, 98.6%, and 90.4% for hepatitis, breast cancer, and heart disease, respectively. The proposed system provides an effective classification model for clinical datasets.

  13. Developing and Exploiting a Unique Seismic Data Set from South African Gold Mines for Source Characterization and Wave Propagation

    DTIC Science & Technology

    2007-09-01

    the University of the Witwatersrand . RESEARCH ACCOMPLISHED Three complimentary data sets are being assembled in this project: (1) high...frequency in-mine seismic data from three mines along the northwestern edge of the Witwatersrand basin, (2) seismograms from mine events recorded at...Seismicity The Witwatersrand basin is part of a granite-greenstone complex constituting the basement of the Kaapvaal craton. The basement evolved

  14. Consistency of Angoff-Based Standard-Setting Judgments: Are Item Judgments and Passing Scores Replicable across Different Panels of Experts?

    ERIC Educational Resources Information Center

    Tannenbaum, Richard J.; Kannan, Priya

    2015-01-01

    Angoff-based standard setting is widely used, especially for high-stakes licensure assessments. Nonetheless, some critics have claimed that the judgment task is too cognitively complex for panelists, whereas others have explicitly challenged the consistency in (replicability of) standard-setting outcomes. Evidence of consistency in item judgments…

  15. An intelligent knowledge mining model for kidney cancer using rough set theory.

    PubMed

    Durai, M A Saleem; Acharjya, D P; Kannan, A; Iyengar, N Ch Sriman Narayana

    2012-01-01

    Medical diagnosis processes vary in the degree to which they attempt to deal with different complicating aspects of diagnosis such as relative importance of symptoms, varied symptom pattern and the relation between diseases themselves. Rough set approach has two major advantages over the other methods. First, it can handle different types of data such as categorical, numerical etc. Secondly, it does not make any assumption like probability distribution function in stochastic modeling or membership grade function in fuzzy set theory. It involves pattern recognition through logical computational rules rather than approximating them through smooth mathematical functional forms. In this paper we use rough set theory as a data mining tool to derive useful patterns and rules for kidney cancer faulty diagnosis. In particular, the historical data of twenty five research hospitals and medical college is used for validation and the results show the practical viability of the proposed approach.

  16. Generalizability and Dependability of a Multi-Item Direct Behavior Rating Scale in a Kindergarten Classroom Setting

    ERIC Educational Resources Information Center

    Wickerd, Garry; Hulac, David

    2017-01-01

    Accurate and rapid identification of students displaying behavioral problems requires instrumentation that is user friendly and reliable. The purpose of the study was to evaluate a multi-item direct behavior rating scale called the Direct Behavior Rating-Multiple Item Scale (DBR-MIS) for disruptive behavior to determine the number of…

  17. Data mining and visualization techniques

    DOEpatents

    Wong, Pak Chung; Whitney, Paul; Thomas, Jim

    2004-03-23

    Disclosed are association rule identification and visualization methods, systems, and apparatus. An association rule in data mining is an implication of the form X.fwdarw.Y where X is a set of antecedent items and Y is the consequent item. A unique visualization technique that provides multiple antecedent, consequent, confidence, and support information is disclosed to facilitate better presentation of large quantities of complex association rules.

  18. Dynamic Triggering of Microseismicity inferred from Spatio/Temporal Patterns in a Mine Setting

    NASA Astrophysics Data System (ADS)

    Castellanos, F.; Van der Baan, M.

    2014-12-01

    We examine spatial and temporal patterns of microseismic events in an underground mine. Our objective is to address three key questions: Where does the seismicity occur? Why does it occur in these locations but not elsewhere? And what triggers it? We take advantage of waveform similarity by performing multiplet analysis based on the double-difference technique to obtain highly accurate relative locations. Seven vertical receiver boreholes that surround the area under investigation have recorded microseismic data during a month, thus providing a good azimuthal coverage. A minimum crosscorrelation level of 85% is used to detect 21 multiplet groups, which represents 60% of the total seismicity. The largest groups are located close to the main shaft and tunnels at orebody levels, thus we postulate seismicity is facilitated by the potential of subsidence if we assume a compacting earth and hoop stresses acting on the vertical shafts. Surprisingly, most events only occur during certain hours of the day but do not relate to blasting. They correlate with scheduled operations of rock removal. Therefore, it is likely they have been triggered by the transportation of the debris along the main shaft instead of blasting, as we initially expected. Given that seismicity is present around the main shaft but absent close to the second air shaft, we conclude that for seismicity to occur both a favourable stress state must exist, as well as additional external forces, causing dynamic triggering. This analysis provides more insight into anthropogenic processes and their roles as major initiators of seismicity during dynamic stress transfer thereby facilitating identification of hazardous areas in mine settings.

  19. An Investigation of One and Three Parameter Item Response Models in a Field Setting, with Implications for Computerized Adaptive Testing

    DTIC Science & Technology

    1981-05-01

    accu’acy of estimation of their status on the trait becomes progressively more inaccurate as their ability deviates from this point. The result of...Conventional tests typically use number of pro- portion of items discrimination. Two recent developments have enabled the psychometrician to more accurately...is to accurately estimate an individual’s position on the underlying trait the test purports to mearure. Con’ventional paper-and-pencil test

  20. Visual data mining of coexpression data to set research priorities in cardiac development research.

    PubMed

    VanBuren, Vincent

    2012-01-01

    Over the past decade, an immense amount of biomedical data have become available in the public domain due to the development of ever-more efficient screening tools such as expression microarrays. To fully leverage this important new resource, it has become imperative to develop new methodologies for mining and visualizing data to make inferences beyond the scope of the original experiments. This need motivated the development of a new freely available web-based application called StarNet ( http://vanburenlab.medicine.tamhsc.edu/starnet2.html ). Here we describe the use of StarNet, which functions primarily as a query tool that draws correlation networks centered about a gene of interest. To support inferences and the development of new hypotheses using the resulting correlation network, StarNet queries all genes in the correlation network against a database of known interactions and displays the results in a second graph and provides a statistical test of Gene Ontology term enrichment (keyword enrichment) to provide tentative summary functional annotations for the correlation network. Finally, StarNet provides additional tools for comparing networks drawn from two different selected data sets, thus providing methods for making inferences and developing new hypotheses about differential wiring for different regulatory domains.

  1. Mining pinyin-to-character conversion rules from large-scale corpus: a rough set approach.

    PubMed

    Wang, Xiaolong; Chen, Qingcai; Yeung, Daniel S

    2004-04-01

    This paper introduces a rough set technique for solving the problem of mining Pinyin-to-character (PTC) conversion rules. It first presents a text-structuring method by constructing a language information table from a corpus for each pinyin, which it will then apply to a free-form textual corpus. Data generalization and rule extraction algorithms can then be used to eliminate redundant information and extract consistent PTC conversion rules. The design of our model also addresses a number of important issues such as the long-distance dependency problem, the storage requirements of the rule base, and the consistency of the extracted rules, while the performance of the extracted rules as well as the effects of different model parameters are evaluated experimentally. These results show that by the smoothing method, high precision conversion (0.947) and recall rates (0.84) can be achieved even for rules represented directly by pinyin rather than words. A comparison with the baseline tri-gram model also shows good complement between our method and the tri-gram language model.

  2. Screening Test Items for Differential Item Functioning

    ERIC Educational Resources Information Center

    Longford, Nicholas T.

    2014-01-01

    A method for medical screening is adapted to differential item functioning (DIF). Its essential elements are explicit declarations of the level of DIF that is acceptable and of the loss function that quantifies the consequences of the two kinds of inappropriate classification of an item. Instead of a single level and a single function, sets of…

  3. The EMCDDA/Pompidou Group treatment demand indicator protocol: a European core item set for treatment monitoring and reporting.

    PubMed

    Simon, R; Donmall, M; Hartnoll, R; Kokkevi, A; Ouwehand, A W; Stauffacher, M; Vicente, J

    1999-12-01

    Over the last decades inside and outside of Europe, treatment-based data have been used in epidemiological research on drugs and drug abuse. They offer information on hidden populations and allow to follow socially stigmatised behaviour. As this type of research can be done on rather low budgets, there are long-term projects run in many countries. Experts from the national systems in several EU member states have been working together to develop a common standard on the basis of the Pompidou Group (PG) Definitive Protocol. The items and basic definitions of the European Monitoring Centre for Drugs and Drug Addiction (EMCDDA)/PG Treatment Demand Indicator Protocol are described, which plays an important role in the process of harmonisation of data collection for the EMCDDA. Implementation strategies are described, and future steps are discussed.

  4. Construct Validity of a Set of Mathematical Superitems. A Report on the NIE/ECS Item Development Project.

    ERIC Educational Resources Information Center

    Romberg, Thomas A.; And Others

    Procedural documentation is presented for administering, scoring and analyzing data gathered to examine the construct validity of a set of superitems developed to assess student levels of mathematical reasoning ability. Each superitem includes a mathematical situation and a structured set of questions about that situation. The questions were based…

  5. Handling Dynamic Weights in Weighted Frequent Pattern Mining

    NASA Astrophysics Data System (ADS)

    Ahmed, Chowdhury Farhan; Tanbeer, Syed Khairuzzaman; Jeong, Byeong-Soo; Lee, Young-Koo

    Even though weighted frequent pattern (WFP) mining is more effective than traditional frequent pattern mining because it can consider different semantic significances (weights) of items, existing WFP algorithms assume that each item has a fixed weight. But in real world scenarios, the weight (price or significance) of an item can vary with time. Reflecting these changes in item weight is necessary in several mining applications, such as retail market data analysis and web click stream analysis. In this paper, we introduce the concept of a dynamic weight for each item, and propose an algorithm, DWFPM (dynamic weighted frequent pattern mining), that makes use of this concept. Our algorithm can address situations where the weight (price or significance) of an item varies dynamically. It exploits a pattern growth mining technique to avoid the level-wise candidate set generation-and-test methodology. Furthermore, it requires only one database scan, so it is eligible for use in stream data mining. An extensive performance analysis shows that our algorithm is efficient and scalable for WFP mining using dynamic weights.

  6. Evaluation of Item Candidates: The PROMIS Qualitative Item Review

    PubMed Central

    DeWalt, Darren A.; Rothrock, Nan; Yount, Susan; Stone, Arthur A.

    2009-01-01

    One of the PROMIS (Patient-Reported Outcome Measurement Information System) network's primary goals is the development of a comprehensive item bank for patient-reported outcomes of chronic diseases. For its first set of item banks, PROMIS chose to focus on pain, fatigue, emotional distress, physical function, and social function. An essential step for the development of an item pool is the identification, evaluation, and revision of extant questionnaire items for the core item pool. In this work, we also describe the systematic process wherein items are classified for subsequent statistical processing by the PROMIS investigators. Six phases of item development are documented: identification of extant items, item classification and selection, item review and revision, focus group input on domain coverage, cognitive interviews with individual items, and final revision before field testing. Identification of items refers to the systematic search for existing items in currently available scales. Expert item review and revision was conducted by trained professionals who reviewed the wording of each item and revised as appropriate for conventions adopted by the PROMIS network. Focus groups were used to confirm domain definitions and to identify new areas of item development for future PROMIS item banks. Cognitive interviews were used to examine individual items. Items successfully screened through this process were sent to field testing and will be subjected to innovative scale construction procedures. PMID:17443114

  7. Mining Hesitation Information by Vague Association Rules

    NASA Astrophysics Data System (ADS)

    Lu, An; Ng, Wilfred

    In many online shopping applications, such as Amazon and eBay, traditional Association Rule (AR) mining has limitations as it only deals with the items that are sold but ignores the items that are almost sold (for example, those items that are put into the basket but not checked out). We say that those almost sold items carry hesitation information, since customers are hesitating to buy them. The hesitation information of items is valuable knowledge for the design of good selling strategies. However, there is no conceptual model that is able to capture different statuses of hesitation information. Herein, we apply and extend vague set theory in the context of AR mining. We define the concepts of attractiveness and hesitation of an item, which represent the overall information of a customer's intent on an item. Based on the two concepts, we propose the notion of Vague Association Rules (VARs). We devise an efficient algorithm to mine the VARs. Our experiments show that our algorithm is efficient and the VARs capture more specific and richer information than do the traditional ARs.

  8. A Bayesian method to mine spatial data sets to evaluate the vulnerability of human beings to catastrophic risk.

    PubMed

    Li, Lianfa; Wang, Jinfeng; Leung, Hareton; Zhao, Sisi

    2012-06-01

    Vulnerability of human beings exposed to a catastrophic disaster is affected by multiple factors that include hazard intensity, environment, and individual characteristics. The traditional approach to vulnerability assessment, based on the aggregate-area method and unsupervised learning, cannot incorporate spatial information; thus, vulnerability can be only roughly assessed. In this article, we propose Bayesian network (BN) and spatial analysis techniques to mine spatial data sets to evaluate the vulnerability of human beings. In our approach, spatial analysis is leveraged to preprocess the data; for example, kernel density analysis (KDA) and accumulative road cost surface modeling (ARCSM) are employed to quantify the influence of geofeatures on vulnerability and relate such influence to spatial distance. The knowledge- and data-based BN provides a consistent platform to integrate a variety of factors, including those extracted by KDA and ARCSM to model vulnerability uncertainty. We also consider the model's uncertainty and use the Bayesian model average and Occam's Window to average the multiple models obtained by our approach to robust prediction of the risk and vulnerability. We compare our approach with other probabilistic models in the case study of seismic risk and conclude that our approach is a good means to mining spatial data sets for evaluating vulnerability.

  9. Mining remote sensing image data: an integration of fuzzy set theory and image understanding techniques for environmental change detection

    NASA Astrophysics Data System (ADS)

    Eklund, Peter W.; You, Jane; Deer, Peter

    2000-04-01

    This paper presents an image understanding approach to mine remotely sensed image data from different source dates for environmental change detection. It is focused on the immediate needs for knowledge discovery from large sets of image data for environmental monitoring. In contrast to the traditional approaches for change detection, we introduce a wavelet-based hierarchical scheme which integrates fuzzy set theory and image understanding techniques for knowledge discovery of the remote image data. The proposed approach includes algorithms for hierarchical change detection, region representations and classification. The effectiveness of the proposed algorithms is demonstrated throughout the completion of three tasks, namely hierarchial detection of change by fuzzy post classification comparisons, localization of change by B-spline based region representation, and categorization of change by hierarchial texture classification.

  10. Mining unusual and rare stellar spectra from large spectroscopic survey data sets using the outlier-detection method

    NASA Astrophysics Data System (ADS)

    Wei, Peng; Luo, Ali; Li, Yinbi; Pan, Jingchang; Tu, Liangping; Jiang, Bin; Kong, Xiao; Shi, Zhixin; Yi, Zhenping; Wang, Fengfei; Liu, Jie; Zhao, Yongheng

    2013-05-01

    The large number of spectra obtained from sky surveys such as the Sloan Digital Sky Survey (SDSS) and the survey executed by the Large sky Area Multi-Object fibre Spectroscopic Telescope (LAMOST, also called GuoShouJing Telescope) provide us with opportunities to search for peculiar or even unknown types of spectra. In response to the limitations of existing methods, a novel outlier-mining method, the Monte Carlo Local Outlier Factor (MCLOF), is proposed in this paper, which can be used to highlight unusual and rare spectra from large spectroscopic survey data sets. The MCLOF method exposes outliers automatically and efficiently by marking each spectrum with a number, i.e. using outlier index as a flag for an unusual and rare spectrum. The Local Outlier Factor (LOF) represents how unusual and rare a spectrum is compared with other spectra and the Monte Carlo method is used to compute the global LOF for each spectrum by randomly selecting samples in each independent iteration. Our MCLOF method is applied to over half a million stellar spectra (classified as STAR by the SDSS Pipeline) from the SDSS data release 8 (DR8) and a total of 37 033 spectra are selected as outliers with signal-to-noise ratio (S/N) ≥ 3 and outlier index ≥0.85. Some of these outliers are shown to be binary stars, emission-line stars, carbon stars and stars with unusual continuum. The results show that our proposed method can efficiently highlight these unusual spectra from the survey data sets. In addition, some relatively rare and interesting spectra are selected, indicating that the proposed method can also be used to mine rare, even unknown, spectra. The proposed method can be applicable not only to spectral survey data sets but also to other types of survey data sets. The spectra of all peculiar objects selected by our MCLOF method are available from a user-friendly website: http://sciwiki.lamost.org/Miningdr8/.

  11. A Study of the Homogeneity of Items Produced From Item Forms Across Different Taxonomic Levels.

    ERIC Educational Resources Information Center

    Weber, Margaret B.; Argo, Jana K.

    This study determined whether item forms ( rules for constructing items related to a domain or set of tasks) would enable naive item writers to generate multiple-choice items at three taxonomic levels--knowledge, comprehension, and application. Students wrote 120 multiple-choice items from 20 item forms, corresponding to educational objectives…

  12. Unlocking Data for Statistical Analyses and Data Mining: Generic Case Extraction of Clinical Items from i2b2 and tranSMART.

    PubMed

    Firnkorn, Daniel; Merker, Sebastian; Ganzinger, Matthias; Muley, Thomas; Knaup, Petra

    2016-01-01

    In medical science, modern IT concepts are increasingly important to gather new findings out of complex diseases. Data Warehouses (DWH) as central data repository systems play a key role by providing standardized, high-quality and secure medical data for effective analyses. However, DWHs in medicine must fulfil various requirements concerning data privacy and the ability to describe the complexity of (rare) disease phenomena. Here, i2b2 and tranSMART are free alternatives representing DWH solutions especially developed for medical informatics purposes. But different functionalities are not yet provided in a sufficient way. In fact, data import and export is still a major problem because of the diversity of schemas, parameter definitions and data quality which are described variously in each single clinic. Further, statistical analyses inside i2b2 and tranSMART are possible, but restricted to the implemented functions. Thus, data export is needed to provide a data basis which can be directly included within statistics software like SPSS and SAS or data mining tools like Weka and RapidMiner. The standard export tools of i2b2 and tranSMART are more or less creating a database dump of key-value pairs which cannot be used immediately by the mentioned tools. They need an instance-based or a case-based representation of each patient. To overcome this lack, we developed a concept called Generic Case Extractor (GCE) which pivots the key-value pairs of each clinical fact into a row-oriented format for each patient sufficient to enable analyses in a broader context. Therefore, complex pivotisation routines where necessary to ensure temporal consistency especially in terms of different data sets and the occurrence of identical but repeated parameters like follow-up data. GCE is embedded inside a comprehensive software platform for systems medicine.

  13. Measuring impairments of functioning and health in patients with axial spondyloarthritis by using the ASAS Health Index and the Environmental Item Set: translation and cross-cultural adaptation into 15 languages

    PubMed Central

    Kiltz, U; van der Heijde, D; Boonen, A; Bautista-Molano, W; Burgos-Vargas, R; Chiowchanwisawakit, P; Duruoz, T; El-Zorkany, B; Essers, I; Gaydukova, I; Géher, P; Gossec, L; Grazio, S; Gu, J; Khan, M A; Kim, T J; Maksymowych, W P; Marzo-Ortega, H; Navarro-Compán, V; Olivieri, I; Patrikos, D; Pimentel-Santos, F M; Schirmer, M; van den Bosch, F; Weber, U; Zochling, J; Braun, J

    2016-01-01

    Introduction The Assessments of SpondyloArthritis international society Health Index (ASAS HI) measures functioning and health in patients with spondyloarthritis (SpA) across 17 aspects of health and 9 environmental factors (EF). The objective was to translate and adapt the original English version of the ASAS HI, including the EF Item Set, cross-culturally into 15 languages. Methods Translation and cross-cultural adaptation has been carried out following the forward–backward procedure. In the cognitive debriefing, 10 patients/country across a broad spectrum of sociodemographic background, were included. Results The ASAS HI and the EF Item Set were translated into Arabic, Chinese, Croatian, Dutch, French, German, Greek, Hungarian, Italian, Korean, Portuguese, Russian, Spanish, Thai and Turkish. Some difficulties were experienced with translation of the contextual factors indicating that these concepts may be more culturally-dependent. A total of 215 patients with axial SpA across 23 countries (62.3% men, mean (SD) age 42.4 (13.9) years) participated in the field test. Cognitive debriefing showed that items of the ASAS HI and EF Item Set are clear, relevant and comprehensive. All versions were accepted with minor modifications with respect to item wording and response option. The wording of three items had to be adapted to improve clarity. As a result of cognitive debriefing, a new response option ‘not applicable’ was added to two items of the ASAS HI to improve appropriateness. Discussion This study showed that the items of the ASAS HI including the EFs were readily adaptable throughout all countries, indicating that the concepts covered were comprehensive, clear and meaningful in different cultures. PMID:27752358

  14. Data mining of the GAW14 simulated data using rough set theory and tree-based methods.

    PubMed

    Wei, Liang-Ying; Huang, Cheng-Lung; Chen, Chien-Hsiun

    2005-12-30

    Rough set theory and decision trees are data mining methods used for dealing with vagueness and uncertainty. They have been utilized to unearth hidden patterns in complicated datasets collected for industrial processes. The Genetic Analysis Workshop 14 simulated data were generated using a system that implemented multiple correlations among four consequential layers of genetic data (disease-related loci, endophenotypes, phenotypes, and one disease trait). When information of one layer was blocked and uncertainty was created in the correlations among these layers, the correlation between the first and last layers (susceptibility genes and the disease trait in this case), was not easily directly detected. In this study, we proposed a two-stage process that applied rough set theory and decision trees to identify genes susceptible to the disease trait. During the first stage, based on phenotypes of subjects and their parents, decision trees were built to predict trait values. Phenotypes retained in the decision trees were then advanced to the second stage, where rough set theory was applied to discover the minimal subsets of genes associated with the disease trait. For comparison, decision trees were also constructed to map susceptible genes during the second stage. Our results showed that the decision trees of the first stage had accuracy rates of about 99% in predicting the disease trait. The decision trees and rough set theory failed to identify the true disease-related loci.

  15. Hydrogeologic setting and simulation of groundwater flow near the Canterbury and Leadville Mine Drainage Tunnels, Leadville, Colorado

    USGS Publications Warehouse

    Wellman, Tristan P.; Paschke, Suzanne S.; Minsley, Burke; Dupree, Jean A.

    2011-01-01

    63 percent of the total water budget, respectively). The largest contributions to the water budget were groundwater entering from the upper reaches of the watershed and the hydrologic interaction of the groundwater with the East Fork Arkansas River. Potentiometric surface maps of the simulated model results were generated for depths of 50, 100, and 250 m. The surfaces revealed a positive trend in hydraulic head with land-surface altitude and evidence of increased control on fluid movement by the fault network structure at progressively greater depths in the aquifer. Results of advective particle-tracking simulations indicate that the sets of simulated flow paths for the Canterbury Tunnel and the Leadville Mine Drainage Tunnel were mutually exclusive of one another, which also suggested that no major hydraulic connection was present between the tunnels. Particle-tracking simulations also revealed that although the fault network generally restricted groundwater movement locally, hydrologic conditions were such that groundwater did cross the fault network at many locations. This cross-fault movement indicates that the fault network controls regional groundwater flow to some degree but is not a complete barrier to flow. The cumulative distributions of adjusted age results for the watershed indicate that approximately 30 percent of the flow pathways transmit groundwater that was younger than 68 years old (post-1941) and that about 70 percent of the flow pathways transmit old groundwater. The particle-tracking results are consistent with the apparent ages and mixing ratios developed from the chlorofluorocarbon and tritium results. The model simulations also indicate that approximately 50 percent of the groundwater flowing through the study area was less than 200 years old and about 50 percent of the groundwater flowing through the study area is old water stored in low-permeability geologic units and fault blocks. As a final examination of model response, the conductance

  16. Nurse staffing levels and outcomes - mining the UK national data sets for insight.

    PubMed

    Leary, Alison; Tomai, Barbara; Swift, Adrian; Woodward, Andrew; Hurst, Keith

    2017-04-18

    Purpose Despite the generation of mass data by the nursing workforce, determining the impact of the contribution to patient safety remains challenging. Several cross-sectional studies have indicated a relationship between staffing and safety. The purpose of this paper is to uncover possible associations and explore if a deeper understanding of relationships between staffing and other factors such as safety could be revealed within routinely collected national data sets. Design/methodology/approach Two longitudinal routinely collected data sets consisting of 30 years of UK nurse staffing data and seven years of National Health Service (NHS) benchmark data such as survey results, safety and other indicators were used. A correlation matrix was built and a linear correlation operation was applied (Pearson product-moment correlation coefficient). Findings A number of associations were revealed within both the UK staffing data set and the NHS benchmarking data set. However, the challenges of using these data sets soon became apparent. Practical implications Staff time and effort are required to collect these data. The limitations of these data sets include inconsistent data collection and quality. The mode of data collection and the itemset collected should be reviewed to generate a data set with robust clinical application. Originality/value This paper revealed that relationships are likely to be complex and non-linear; however, the main contribution of the paper is the identification of the limitations of routinely collected data. Much time and effort is expended in collecting this data; however, its validity, usefulness and method of routine national data collection appear to require re-examination.

  17. An Experimental Study of the Effect of Judges' Knowledge of Item Data on Two Forms of the Angoff Standard Setting Method.

    ERIC Educational Resources Information Center

    Garrido, Mariquita; Payne, David A.

    Minimum competency cut-off scores on a statistics exam were estimated under four conditions: the Angoff judging method with item data (n=20), and without data available (n=19); and the Modified Angoff method with (n=19), and without (n=19) item data available to judges. The Angoff method required free response percentage estimates (0-100) percent,…

  18. Data Mining on Large Data Set for Predicting Salmon Spawning Habitat

    SciTech Connect

    Xie, YuLong; Murray, Christopher J.; Hanrahan, Timothy P.; Geist, David R.

    2008-07-01

    Hydraulic properties related to river flow affect salmon spawning habitat. Accurate prediction of salmon spawning habitat and understanding the influential properties on the spawning behavior are of great interest for hydroelectric dam management. Previous research predicted salmon spawning habitat through deriving river specific spawning suitability indices and employing a function estimate method like logistic regression on several static river flow related properties and had some success. The objective of this study was two-fold. First dynamic river flow properties associated with upstream dam operation were successfully derived from a huge set of time series of both water velocity and water depth for about one fifth of a million habitat cells through principal component analysis (PCA) using nonlinear iterative partial least squares (NIPLAS). The inclusion of dynamic variables in the models greatly improved the model prediction. Secondly, nine machine learning methods were applied to the data and it was found that decision tree and rule induction methods were generally outperformed usually used logistic regression. Specifically random forest, an advanced decision tree algorithm, provided unanimous better results. Over-prediction problem in previous studies were greatly alleviated.

  19. Identifying high-cost patients using data mining techniques and a small set of non-trivial attributes.

    PubMed

    Izad Shenas, Seyed Abdolmotalleb; Raahemi, Bijan; Hossein Tekieh, Mohammad; Kuziemsky, Craig

    2014-10-01

    In this paper, we use data mining techniques, namely neural networks and decision trees, to build predictive models to identify very high-cost patients in the top 5 percentile among the general population. A large empirical dataset from the Medical Expenditure Panel Survey with 98,175 records was used in our study. After pre-processing, partitioning and balancing the data, the refined dataset of 31,704 records was modeled by Decision Trees (including C5.0 and CHAID), and Neural Networks. The performances of the models are analyzed using various measures including accuracy, G-mean, and Area under ROC curve. We concluded that the CHAID classifier returns the best G-mean and AUC measures for top performing predictive models ranging from 76% to 85%, and 0.812 to 0.942 units, respectively. We also identify a small set of 5 non-trivial attributes among a primary set of 66 attributes to identify the top 5% of the high cost population. The attributes are the individual׳s overall health perception, age, history of blood cholesterol check, history of physical/sensory/mental limitations, and history of colonic prevention measures. The small set of attributes are what we call non-trivial and does not include visits to care providers, doctors or hospitals, which are highly correlated with expenditures and does not offer new insight to the data. The results of this study can be used by healthcare data analysts, policy makers, insurer, and healthcare planners to improve the delivery of health services.

  20. Empirical Mining of Large Data Sets Already Helps to Solve Practical Ecological Problems; A Panoply of Working Examples (Invited)

    NASA Astrophysics Data System (ADS)

    Hargrove, W. W.; Hoffman, F. M.; Kumar, J.; Spruce, J.; Norman, S. P.

    2013-12-01

    Here we present diverse examples where empirical mining and statistical analysis of large data sets have already been shown to be useful for a wide variety of practical decision-making problems within the realm of large-scale ecology. Because a full understanding and appreciation of particular ecological phenomena are possible only after hypothesis-directed research regarding the existence and nature of that process, some ecologists may feel that purely empirical data harvesting may represent a less-than-satisfactory approach. Restricting ourselves exclusively to process-driven approaches, however, may actually slow progress, particularly for more complex or subtle ecological processes. We may not be able to afford the delays caused by such directed approaches. Rather than attempting to formulate and ask every relevant question correctly, empirical methods allow trends, relationships and associations to emerge freely from the data themselves, unencumbered by a priori theories, ideas and prejudices that have been imposed upon them. Although they cannot directly demonstrate causality, empirical methods can be extremely efficient at uncovering strong correlations with intermediate "linking" variables. In practice, these correlative structures and linking variables, once identified, may provide sufficient predictive power to be useful themselves. Such correlation "shadows" of causation can be harnessed by, e.g., Bayesian Belief Nets, which bias ecological management decisions, made with incomplete information, toward favorable outcomes. Empirical data-harvesting also generates a myriad of testable hypotheses regarding processes, some of which may even be correct. Quantitative statistical regionalizations based on quantitative multivariate similarity have lended insights into carbon eddy-flux direction and magnitude, wildfire biophysical conditions, phenological ecoregions useful for vegetation type mapping and monitoring, forest disease risk maps (e.g., sudden oak

  1. Data set of world phosphate mines, deposits, and occurrences: Part A. geologic data; Part B. location and mineral economic data

    USGS Publications Warehouse

    Chernoff, Carlotta B.; Orris, G.J.

    2002-01-01

    An inventory of more than 1,600 world phosphate mines, deposits, and occurrences was compiled from smaller data sets collected as part of multiple research efforts by Carlotta Chernoff, University of Arizona, and Greta Orris, U.S. Geological Survey. These data have been utilized during studies of black shale depositional environments and to construct phosphate deposit models. The compiled data have been edited for consistency and additional location information has been added where possible. The database of compiled phosphate information is being released in two sections; the geologic data in one section and the location and mineral economic data in the second. This report, U.S. Geological Survey Open-File Report 02–156–A, contains the geologic data and is best used with the complimentary data contained in Open-File Report 02–156–B. U.S. Geological Survey Open-File Report 02–156–B contains commodity data, location and analytical data, a variety of mineral economic data, reference information, and pointers to related records in the U.S. Geological Survey National mineral databases—MASMILS and MRDS.

  2. Action Items

    ERIC Educational Resources Information Center

    Baker, Mark; Keane, Brian

    2009-01-01

    Maximizing school resources and managing a shrinking budget--these are two important items affected when a building's roofing system does not perform properly. Rather than acting in haste, school and university administrators should do what every teacher tells a student prior to answering any question: think through the research and studies to…

  3. Optimal Calibration Designs for Tests of Polytomously Scored Items Described by Item Response Theory Models.

    ERIC Educational Resources Information Center

    Holman, Rebecca; Berger, Martijn P. F.

    2001-01-01

    Studied calibration designs that maximize the determinants of Fisher's information matrix on the item parameters for sets of polytomously scored items. Analyzed these items using a number of item response theory models. Results show that for the data and models used, a D-optimal calibration design for an answer or set of answers can reduce the…

  4. Item-Writing Guidelines for Physics

    ERIC Educational Resources Information Center

    Regan, Tom

    2015-01-01

    A teacher learning how to write test questions (test items) will almost certainly encounter item-writing guidelines--lists of item-writing do's and don'ts. Item-writing guidelines usually are presented as applicable across all assessment settings. Table I shows some guidelines that I believe to be generally applicable and two will be briefly…

  5. Matching Factors Derived from the Same Set of Items but Different Groups of Respondents: A Review of Methods with an Example.

    ERIC Educational Resources Information Center

    Bowers, John J.

    Procedures devised for computing factor matching statistics in questionnaire construction are described. In a study of the impact of vocational education on social, affective and nontechnical development of students, an attitude questionnaire to measure outcomes was developed. Each item in the final section had a six-point Likert type response…

  6. Application of Optimal Designs to Item Calibration

    PubMed Central

    Lu, Hung-Yi

    2014-01-01

    In computerized adaptive testing (CAT), examinees are presented with various sets of items chosen from a precalibrated item pool. Consequently, the attrition speed of the items is extremely fast, and replenishing the item pool is essential. Therefore, item calibration has become a crucial concern in maintaining item banks. In this study, a two-parameter logistic model is used. We applied optimal designs and adaptive sequential analysis to solve this item calibration problem. The results indicated that the proposed optimal designs are cost effective and time efficient. PMID:25188318

  7. Using the Advanced Progressive Matrices (Set I) to Assess Fluid Ability in a Short Time Frame: An Item Response Theory-Based Analysis

    ERIC Educational Resources Information Center

    Chiesi, Francesca; Ciancaleoni, Matteo; Galli, Silvia; Primi, Caterina

    2012-01-01

    This article is aimed at evaluating the possibility that Set I of the Advanced Progressive Matrices (APM-Set I) can be employed to assess fluid ability in a short time frame. The APM-Set I was administered to a sample of 1,389 primary and secondary school students. Confirmatory factor analysis attested to the unidimensionality of the scale. Item…

  8. Relating a Reading Comprehension Test to the CEFR Levels: A Case of Standard Setting in Practice with Focus on Judges and Items

    ERIC Educational Resources Information Center

    Figueras, Neus; Kaftandjieva, Felianka; Takala, Sauli

    2013-01-01

    The article addresses some problems and options in setting standards on language tests and examinations. More specifically, it reports on a set of three workshops conducted in the European context where standard setting in language education typically concerns linking tests and examinations to the Council of Europe's "Common European…

  9. Accuracy Assessment of Geometrical Elements for Setting-Out in Horizontal Plane of Conveying Chambers at the Bauxite Mine "KOSTURI" Srebrenica

    NASA Astrophysics Data System (ADS)

    Milutinović, Aleksandar; Ganić, Aleksandar; Tokalić, Rade

    2014-03-01

    Setting-out of objects on the exploitation field of the mine, both in surface mining and in the underground mines, is determined by the specified setting-out accuracy of reference points, which are best to define spatial position of the object projected. For the purpose of achieving of the specified accuracy, it is necessary to perform a priori accuracy assessment of parameters, which are to be used when performing setting-out. Based on the a priori accuracy assessment, verification of the quality of geometrical setting- -out elements specified in the layout; definition of the accuracy for setting-out of geometrical elements; selection of setting-out method; selection at the type and class of instruments and tools that need to be applied in order to achieve predefined accuracy. The paper displays the accuracy assessment of geometrical elements for setting-out of the main haul gallery, haul downcast and helical conveying downcasts in shape of an inclined helix in horizontal plane, using the example of the underground bauxite mine »Kosturi«, Srebrenica. Wytyczanie obiektów na polu wydobywczym w kopalniach, zarówno podziemnych jak i odkrywkowych, zależy w dużej mierze od określonej dokładności wytyczania punktów referencyjnych, przy pomocy których określane jest następnie położenie przestrzenne pozostałych obiektów. W celu uzyskania założonej dokładności, należy przeprowadzić wstępną analizę dokładności oszacowania parametrów które następnie wykorzystane będą w procesie wytyczania. W oparciu o wyniki wstępnej analizy dokładności dokonuje się weryfikacji jakości geometrycznego wytyczenia elementów zaznaczonych na szkicu, uwzględniając te wyniki dobrać należy odpowiednią metodę wytyczania i rodzaj oraz klasę wykorzystywanych narzędzi i instrumentów, tak by osiągnąć założony poziom dokładności. W pracy przedstawiono oszacowanie dokładności wytyczania elementów geometrycznych dla głównego chodnika transportowego

  10. Perspectives on Knowledge Discovery Algorithms Recently Introduced in Chemoinformatics: Rough Set Theory, Association Rule Mining, Emerging Patterns, and Formal Concept Analysis.

    PubMed

    Gardiner, Eleanor J; Gillet, Valerie J

    2015-09-28

    Knowledge Discovery in Databases (KDD) refers to the use of methodologies from machine learning, pattern recognition, statistics, and other fields to extract knowledge from large collections of data, where the knowledge is not explicitly available as part of the database structure. In this paper, we describe four modern data mining techniques, Rough Set Theory (RST), Association Rule Mining (ARM), Emerging Pattern Mining (EP), and Formal Concept Analysis (FCA), and we have attempted to give an exhaustive list of their chemoinformatics applications. One of the main strengths of these methods is their descriptive ability. When used to derive rules, for example, in structure-activity relationships, the rules have clear physical meaning. This review has shown that there are close relationships between the methods. Often apparent differences lie in the way in which the problem under investigation has been formulated which can lead to the natural adoption of one or other method. For example, the idea of a structural alert, as a structure which is present in toxic and absent in nontoxic compounds, leads to the natural formulation of an Emerging Pattern search. Despite the similarities between the methods, each has its strengths. RST is useful for dealing with uncertain and noisy data. Its main chemoinformatics applications so far have been in feature extraction and feature reduction, the latter often as input to another data mining method, such as an Support Vector Machine (SVM). ARM has mostly been used for frequent subgraph mining. EP and FCA have both been used to mine both structural and nonstructural patterns for classification of both active and inactive molecules. Since their introduction in the 1980s and 1990s, RST, ARM, EP, and FCA have found wide-ranging applications, with many thousands of citations in Web of Science, but their adoption by the chemoinformatics community has been relatively slow. Advances, both in computer power and in algorithm development

  11. Options for compiling an inventory of mining waste sites throughout Europe by combining Landsat-TM derived information with national and pan-European thematic data sets

    NASA Astrophysics Data System (ADS)

    Vijdea, Anca-Marina; Sommer, Stefan

    2004-10-01

    Presently no reliable synoptic picture of number, extent, distribution and emissions from mining waste sites exists, neither for EU member states, nor for the Accession and Candidate Countries. At EU level, this information is needed to assess the large range of environmental impacts caused by mining wastes and their emissions in a coherent way across the different policies addressing the protection and sustainable use of environmental resources. The core task lies in the harmonised collection and standardised compilation and evaluation of existing data and in connecting them to a geographical reference system compatible with other European data sets. In the proposed approach information from national registers of mining wastes is linked to related standardized spatial data layers such as CORINE Land Cover (the classes of mineral extraction sites, dump sites) or other data sets available in the EUROSTAT GISCO data base, thus adding the spatial dimension at regional scale. Higher level of spatial detail and distinction between mineral extraction site and waste sites with or without accumulation of potentially hazardous material is added by remote sensing, applying a semi-automated principal component analysis (PCA) to selected spectral channels of geo-referenced Landsat-TM full scenes. The method was demonstrated on large areas covering approximately 120000 km2 of Slovakia and Romania and was validated against mining-related features from Pan-European and/or national databases, detailed geological maps, mineral resource maps, as well as by a GIS analysis showing the distribution of anomalous pixels in the above-mentioned features compared to the main land cover classes.

  12. Detection performance assessment of hand-held mine detection systems in a procurement process: test set-up for MDs and MD/GPRs

    NASA Astrophysics Data System (ADS)

    Schoolderman, Arnold J.; Roosenboom, Jacques H. J.

    2005-06-01

    The Engineers Centre of Expertise of the Royal Netherlands Army (RNLA) has conducted a study on countermine in peace operations. This study, finished in 2002, concluded that the final solution to countermine will depend in the first place on better detection of buried low-metal mines, e.g. by direct detection of the explosive components in mines. Until such detection systems are available, intermediate solutions are necessary in order to assure freedom of movement in peace operations. Because countermine operations consist of a number of different activities (area preparation, detection, clearance, etc) and the suitability of the different types of available equipment depends on the scenario, the toolbox concept for countermine equipment was adopted. In 2003 a procurement process was started in order to fill this toolbox with commercial-off-the-shelf and military-off-the-shelf equipment. The paper gives a concise description of the study on countermine operations and the procurement process, and subsequently focuses on the set-up of the tests that were conducted in the framework of the procurement of hand-held mine detection systems, like metal detectors and dual-sensor mine detectors. Programs of requirements for these systems were drawn up, aiming at systems for general use and special purpose systems. Blind tests to check the compliancy to the detection performance requirements were designed and conducted in the short timeframe that was available in the procurement process. These tests are discussed in this paper, including the set-up of the test lanes, the targets used and their depths, and the role of the operator. The tests of the capability of the detectors to discriminate small targets adjacent to large targets were conducted according the guidelines of the CEN Workshop Agreement on metal detector tests. Although the results of the tests are commercially confidential, conclusions and lessons learned from the execution of these tests are presented.

  13. Item Difficulty Modeling of Paragraph Comprehension Items

    ERIC Educational Resources Information Center

    Gorin, Joanna S.; Embretson, Susan E.

    2006-01-01

    Recent assessment research joining cognitive psychology and psychometric theory has introduced a new technology, item generation. In algorithmic item generation, items are systematically created based on specific combinations of features that underlie the processing required to correctly solve a problem. Reading comprehension items have been more…

  14. Visual Data Mining of Astronomic Data With Virtual Reality Spaces: Understanding the Underlying Structure of Large Data Sets

    NASA Astrophysics Data System (ADS)

    Valdés, J. J.

    2005-12-01

    The information explosion in astronomy requires the development of data mining procedures that speed up the process of scientific discovery, and the in-depth understanding of the internal structure of the data. This is crucial for the identification of valid, novel, potentially useful, and understandable patterns (regularities, oddities, etc.). A Virtual Reality (VR) approach for large heterogeneous, incomplete and imprecise information is introduced for the problem of visualizing and analyzing astronomic data. The method is based on mappings between one heterogeneous space representing the data, and a homogeneous virtual reality space. This VR-based visual data mining technique allows the incorporation of the unmatched geometric capabilities of the human brain into the knowledge discovery process, and helps in understanding data structure and patterns. This approach has been applied successfully to a wide variety of real-world domains, and it has a large potential in astronomy. Examples are presented from the domain of galaxy research.

  15. Next-generation text-mining mediated generation of chemical response-specific gene sets for interpretation of gene expression data

    PubMed Central

    2013-01-01

    Background Availability of chemical response-specific lists of genes (gene sets) for pharmacological and/or toxic effect prediction for compounds is limited. We hypothesize that more gene sets can be created by next-generation text mining (next-gen TM), and that these can be used with gene set analysis (GSA) methods for chemical treatment identification, for pharmacological mechanism elucidation, and for comparing compound toxicity profiles. Methods We created 30,211 chemical response-specific gene sets for human and mouse by next-gen TM, and derived 1,189 (human) and 588 (mouse) gene sets from the Comparative Toxicogenomics Database (CTD). We tested for significant differential expression (SDE) (false discovery rate -corrected p-values < 0.05) of the next-gen TM-derived gene sets and the CTD-derived gene sets in gene expression (GE) data sets of five chemicals (from experimental models). We tested for SDE of gene sets for six fibrates in a peroxisome proliferator-activated receptor alpha (PPARA) knock-out GE dataset and compared to results from the Connectivity Map. We tested for SDE of 319 next-gen TM-derived gene sets for environmental toxicants in three GE data sets of triazoles, and tested for SDE of 442 gene sets associated with embryonic structures. We compared the gene sets to triazole effects seen in the Whole Embryo Culture (WEC), and used principal component analysis (PCA) to discriminate triazoles from other chemicals. Results Next-gen TM-derived gene sets matching the chemical treatment were significantly altered in three GE data sets, and the corresponding CTD-derived gene sets were significantly altered in five GE data sets. Six next-gen TM-derived and four CTD-derived fibrate gene sets were significantly altered in the PPARA knock-out GE dataset. None of the fibrate signatures in cMap scored significant against the PPARA GE signature. 33 environmental toxicant gene sets were significantly altered in the triazole GE data sets. 21 of these toxicants

  16. Automatic Item Generation of Probability Word Problems

    ERIC Educational Resources Information Center

    Holling, Heinz; Bertling, Jonas P.; Zeuch, Nina

    2009-01-01

    Mathematical word problems represent a common item format for assessing student competencies. Automatic item generation (AIG) is an effective way of constructing many items with predictable difficulties, based on a set of predefined task parameters. The current study presents a framework for the automatic generation of probability word problems…

  17. Computerized Numerical Control Test Item Bank.

    ERIC Educational Resources Information Center

    Reneau, Fred; And Others

    This guide contains 285 test items for use in teaching a course in computerized numerical control. All test items were reviewed, revised, and validated by incumbent workers and subject matter instructors. Items are provided for assessing student achievement in such aspects of programming and planning, setting up, and operating machines with…

  18. Creating alliances for disease management in industrial settings: a case study of HIV/AIDS in workers in South African gold mines.

    PubMed

    Williams, B; Campbell, C

    1998-01-01

    The epidemic of HIV/AIDS is at an advanced stage in many African countries, but little attention has been given to the impact that this will have in industrial settings. Using the Southern African mining industry as a case study, the authors consider the state of the HIV epidemic and discuss programs that have been undertaken to manage HIV. They critically analyze the reasons current interventions have had little impact on HIV among mine workers, tracing the lack of success to neglect of the social and community contexts within which HIV transmission takes place, as well as the lack of attention to the psychosocial processes and mechanisms underlying disease transmission. Finally, they present an intervention that aims to address the limitations of existing industrial programs and improve the management of sexually transmitted diseases (STDs), including HIV, in a particular occupational setting through creating alliances between a wide range of community stakeholders. The intervention aims not only to reduce STDs, promote awareness of HIV risks, and distribute condoms, as existing programs have done, but also to address the broader social, cultural, and community contexts that facilitate HIV transmission.

  19. SiBIC: a web server for generating gene set networks based on biclusters obtained by maximal frequent itemset mining.

    PubMed

    Takahashi, Kei-ichiro; Takigawa, Ichigaku; Mamitsuka, Hiroshi

    2013-01-01

    Detecting biclusters from expression data is useful, since biclusters are coexpressed genes under only part of all given experimental conditions. We present a software called SiBIC, which from a given expression dataset, first exhaustively enumerates biclusters, which are then merged into rather independent biclusters, which finally are used to generate gene set networks, in which a gene set assigned to one node has coexpressed genes. We evaluated each step of this procedure: 1) significance of the generated biclusters biologically and statistically, 2) biological quality of merged biclusters, and 3) biological significance of gene set networks. We emphasize that gene set networks, in which nodes are not genes but gene sets, can be more compact than usual gene networks, meaning that gene set networks are more comprehensible. SiBIC is available at http://utrecht.kuicr.kyoto-u.ac.jp:8080/miami/faces/index.jsp.

  20. Validation of the Self Reporting Questionnaire 20-Item (SRQ-20) for Use in a Low- and Middle-Income Country Emergency Centre Setting.

    PubMed

    van der Westhuizen, Claire; Wyatt, Gail; Williams, John K; Stein, Dan J; Sorsdahl, Katherine

    2016-02-01

    Common mental disorders are highly prevalent in emergency centre (EC) patients, yet few brief screening tools have been validated for low- and middle-income country (LMIC) ECs. This study explored the psychometric properties of the SRQ-20 screening tool in South African ECs using the Mini Neuropsychiatric Interview (MINI) as the gold standard comparison tool. Patients (n=200) from two ECs in Cape Town, South Africa were interviewed using the SRQ-20 and the MINI. Internal consistency, screening properties and factorial validity were examined. The SRQ-20 was effective in identifying participants with major depression, anxiety disorders or suicidality and displayed good internal consistency. The optimal cutoff scores were 4/5 and 6/7 for men and women respectively. The factor structure differed by gender. The SRQ-20 is a useful tool for EC settings in South Africa and holds promise for task-shifted approaches to decreasing the LMIC burden of mental disorders.

  1. Investigating Separate and Concurrent Approaches for Item Parameter Drift in 3PL Item Response Theory Equating

    ERIC Educational Resources Information Center

    Arce-Ferrer, Alvaro J.; Bulut, Okan

    2017-01-01

    This study examines separate and concurrent approaches to combine the detection of item parameter drift (IPD) and the estimation of scale transformation coefficients in the context of the common item nonequivalent groups design with the three-parameter item response theory equating. The study uses real and synthetic data sets to compare the two…

  2. Association Relation Mining in Multimedia Data

    NASA Astrophysics Data System (ADS)

    Wei, Wei; Ye, Bin; Li, Qing

    In media content analysis, the semantic concepts are often treated as a separate class label. However, many visual semantic concepts are semantically related and so class labels are correlated. This paper presents a mining method for media semantic concept. Semantic frequent label set are selected when their occurrence frequency of several labels in one shot is greater than or equal to the support threshold. Then, semantic frequent item sets are used to generate association dependency relation. The correlations of more than two concepts could be directly obtained by this method. Finally, the mining results of association relation are applied to improve classification performance for concepts. Experiments on real-world media data show that the method can effectively extract potential association and dependency relations among semantic concepts.

  3. Quantum algorithm for association rules mining

    NASA Astrophysics Data System (ADS)

    Yu, Chao-Hua; Gao, Fei; Wang, Qing-Le; Wen, Qiao-Yan

    2016-10-01

    Association rules mining (ARM) is one of the most important problems in knowledge discovery and data mining. Given a transaction database that has a large number of transactions and items, the task of ARM is to acquire consumption habits of customers by discovering the relationships between itemsets (sets of items). In this paper, we address ARM in the quantum settings and propose a quantum algorithm for the key part of ARM, finding frequent itemsets from the candidate itemsets and acquiring their supports. Specifically, for the case in which there are Mf(k ) frequent k -itemsets in the Mc(k ) candidate k -itemsets (Mf(k )≤Mc(k ) ), our algorithm can efficiently mine these frequent k -itemsets and estimate their supports by using parallel amplitude estimation and amplitude amplification with complexity O (k/√{Mc(k )Mf(k ) } ɛ ) , where ɛ is the error for estimating the supports. Compared with the classical counterpart, i.e., the classical sampling-based algorithm, whose complexity is O (k/Mc(k ) ɛ2) , our quantum algorithm quadratically improves the dependence on both ɛ and Mc(k ) in the best case when Mf(k )≪Mc(k ) and on ɛ alone in the worst case when Mf(k )≈Mc(k ) .

  4. Geologic setting and water quality of selected basins in the active coal-mining areas of Ohio, 1987-88

    USGS Publications Warehouse

    Sedam, A.C.

    1991-01-01

    This report presents hydrologic data from selected drainage basins in the active coal-mining areas of Ohio from July 1987 through October 1988. The study area is mostly within the unglaciated part of eastern Ohio along the western edge of the Appalachian Plateaus physiographic province. The 1987-88 work is the second phase of a 7-year study to assess baseline water quality in Ohio's coal region. The data collection network consisted of 41 long-term surface-water sites in 21 basins. The sites were measured and sampled twice yearly at low flow. In addition, six individual basins (three each year) selected for a more detailed representation of surface-water and ground-water quality. In 1987, the Sandy Creek, Middle Tuscarawas River and Sugar Creek, and Lower Tuscarawas River basins were chosen. In 1988, the Short and Wheeling Creeks, Upper Wills Creek, and Upper Raccoon Creek basins were chosen. Because of their proximity to the glaciated region and outwash drainage, the basins studied intensively in 1987 contain more shallow productive aquifers than do the basins studied in detail for 1988, in which shallow ground-water sources are very localized. Chemical analyses for 202 surface-water and 24 ground-water samples are presented. For field measurements made at surface-water sites, the specific conductance ranged from 295 to 3150 ? S/cm (microsiemens per centimeter at 25 degrees Celsius). For pH, the range was 2.8 to 8.6. Alkalinity ranged from 5 to 305 mg/L (milligrams per liter) as CaCO3.

  5. Approximation Preserving Reductions among Item Pricing Problems

    NASA Astrophysics Data System (ADS)

    Hamane, Ryoso; Itoh, Toshiya; Tomita, Kouhei

    When a store sells items to customers, the store wishes to determine the prices of the items to maximize its profit. Intuitively, if the store sells the items with low (resp. high) prices, the customers buy more (resp. less) items, which provides less profit to the store. So it would be hard for the store to decide the prices of items. Assume that the store has a set V of n items and there is a set E of m customers who wish to buy those items, and also assume that each item i ∈ V has the production cost di and each customer ej ∈ E has the valuation vj on the bundle ej ⊆ V of items. When the store sells an item i ∈ V at the price ri, the profit for the item i is pi = ri - di. The goal of the store is to decide the price of each item to maximize its total profit. We refer to this maximization problem as the item pricing problem. In most of the previous works, the item pricing problem was considered under the assumption that pi ≥ 0 for each i ∈ V, however, Balcan, et al. [In Proc. of WINE, LNCS 4858, 2007] introduced the notion of “loss-leader, ” and showed that the seller can get more total profit in the case that pi < 0 is allowed than in the case that pi < 0 is not allowed. In this paper, we derive approximation preserving reductions among several item pricing problems and show that all of them have algorithms with good approximation ratio.

  6. The Licensing of Negative Sensitive Items in Jordanian Arabic

    ERIC Educational Resources Information Center

    Alsarayreh, Atef

    2012-01-01

    This study investigates the licensing conditions on Negative Sensitive Items (NSIs) in Jordanian Arabic (JA). JA exhibits both types of NSIs that are discussed in the literature: Negative Polarity Items (NPIs) and Negative Concord Items (NCIs). Although these two sets of items seem to form a natural class in the sense that they show certain…

  7. Utilizing Response Time Distributions for Item Selection in CAT

    ERIC Educational Resources Information Center

    Fan, Zhewen; Wang, Chun; Chang, Hua-Hua; Douglas, Jeffrey

    2012-01-01

    Traditional methods for item selection in computerized adaptive testing only focus on item information without taking into consideration the time required to answer an item. As a result, some examinees may receive a set of items that take a very long time to finish, and information is not accrued as efficiently as possible. The authors propose two…

  8. Mining environmental high-throughput sequence data sets to identify divergent amplicon clusters for phylogenetic reconstruction and morphotype visualization.

    PubMed

    Gimmler, Anna; Stoeck, Thorsten

    2015-08-01

    Environmental high-throughput sequencing (envHTS) is a very powerful tool, which in protistan ecology is predominantly used for the exploration of diversity and its geographic and local patterns. We here used a pyrosequenced V4-SSU rDNA data set from a solar saltern pond as test case to exploit such massive protistan amplicon data sets beyond this descriptive purpose. Therefore, we combined a Swarm-based blastn network including 11 579 ciliate V4 amplicons to identify divergent amplicon clusters with targeted polymerase chain reaction (PCR) primer design for full-length small subunit of the ribosomal DNA retrieval and probe design for fluorescence in situ hybridization (FISH). This powerful strategy allows to benefit from envHTS data sets to (i) reveal the phylogenetic position of the taxon behind divergent amplicons; (ii) improve phylogenetic resolution and evolutionary history of specific taxon groups; (iii) solidly assess an amplicons (species') degree of similarity to its closest described relative; (iv) visualize the morphotype behind a divergent amplicons cluster; (v) rapidly FISH screen many environmental samples for geographic/habitat distribution and abundances of the respective organism and (vi) to monitor the success of enrichment strategies in live samples for cultivation and isolation of the respective organisms.

  9. Item Purification Does Not Always Improve DIF Detection: A Counterexample with Angoff's Delta Plot

    ERIC Educational Resources Information Center

    Magis, David; Facon, Bruno

    2013-01-01

    Item purification is an iterative process that is often advocated as improving the identification of items affected by differential item functioning (DIF). With test-score-based DIF detection methods, item purification iteratively removes the items currently flagged as DIF from the test scores to get purified sets of items, unaffected by DIF. The…

  10. SARANEA: a freely available program to mine structure-activity and structure-selectivity relationship information in compound data sets.

    PubMed

    Lounkine, Eugen; Wawer, Mathias; Wassermann, Anne Mai; Bajorath, Jürgen

    2010-01-01

    We introduce SARANEA, an open-source Java application for interactive exploration of structure-activity relationship (SAR) and structure-selectivity relationship (SSR) information in compound sets of any source. SARANEA integrates various SAR and SSR analysis functions and utilizes a network-like similarity graph data structure for visualization. The program enables the systematic detection of activity and selectivity cliffs and corresponding key compounds across multiple targets. Advanced SAR analysis functions implemented in SARANEA include, among others, layered chemical neighborhood graphs, cliff indices, selectivity trees, editing functions for molecular networks and pathways, bioactivity summaries of key compounds, and markers for bioactive compounds having potential side effects. We report the application of SARANEA to identify SAR and SSR determinants in different sets of serine protease inhibitors. It is found that key compounds can influence SARs and SSRs in rather different ways. Such compounds and their SAR/SSR characteristics can be systematically identified and explored using SARANEA. The program and source code are made freely available under the GNU General Public License.

  11. Writing better test items.

    PubMed

    Aucoin, Julia W

    2005-01-01

    Professional development specialists have had little opportunity to learn how to write test items to meet the expectations of today's graduate nurse. Schools of nursing have moved away from knowledge-level test items and have had to develop more application and analysis items to prepare graduates for the National Council Licensure Examination (NCLEX). This same type of question can be used effectively to support a competence assessment system and document critical thinking skills.

  12. Trajectory Pattern Mining Using Sequential Pattern Mining and K-Means for Predicting Future Location

    NASA Astrophysics Data System (ADS)

    Kautsar, G.; Akbar, S.

    2017-01-01

    Sequential pattern mining is a method used to find patterns while concerning the sequence of an item set. Sequential pattern mining can be used to find trajectory patterns in moving object data. To implement it in the real life, the spatial attribute of the data needs to be generalized/grouped. In this paper, K-Means is used to group the spatial attribute. In order to group the spatial attribute, the temporal attribute is also considered to see how the patterns are related to time. The resulting trajectory patterns are then used to visualize the habit of the moving object. Therefore, trajectory patterns are used as the reference in this paper to predict the future location of the object. Predicting the future location of the object is performed using the movement history of the object. Result of this research is trajectory pattern which repeat at certain time duration according to its data characteristics.

  13. The Use of Unidimensional Item Parameter Estimates of Multidimensional Items in Adaptive Testing.

    ERIC Educational Resources Information Center

    Ackerman, Terry A.

    The purpose of this study was to investigate the effect of using multidimensional items in a computer adaptive test (CAT) setting which assumes a unidimensional item response theory (IRT) framework. Previous research has suggested that the composite of multidimensional abilities being estimated by a unidimensional IRT model is not constant…

  14. Investigating Factors that Influence Item Performance on ACS Exams

    ERIC Educational Resources Information Center

    Schroeder, Jacob; Murphy, Kristen L.; Holme, Thomas A.

    2012-01-01

    General chemistry tests from the Examinations Institute of the Division of Chemical Education of the American Chemical Society have been analyzed to identify factors that may influence how individual test items perform. In this paper, issues of item order (position within a set of items that comprise a test) and answer order (position of correct…

  15. Mokken Scale Analysis for Dichotomous Items Using Marginal Models

    ERIC Educational Resources Information Center

    van der Ark, L. Andries; Croon, Marcel A.; Sijtsma, Klaas

    2008-01-01

    Scalability coefficients play an important role in Mokken scale analysis. For a set of items, scalability coefficients have been defined for each pair of items, for each individual item, and for the entire scale. Hypothesis testing with respect to these scalability coefficients has not been fully developed. This study introduces marginal modelling…

  16. A Lognormal Model for Response Times on Test Items

    ERIC Educational Resources Information Center

    van der Linden, Wim J.

    2006-01-01

    A lognormal model for the response times of a person on a set of test items is investigated. The model has a parameter structure analogous to the two-parameter logistic response models in item response theory, with a parameter for the speed of each person as well as parameters for the time intensity and discriminating power of each item. It is…

  17. Evaluating Common Item Block Options When Faced with Practical Constraints

    ERIC Educational Resources Information Center

    Wolkowitz, Amanda; Davis-Becker, Susan

    2015-01-01

    This study evaluates the impact of common item characteristics on the outcome of equating in credentialing examinations when traditionally recommended representation is not possible. This research used real data sets from several credentialing exams to test the impact of content representation, item statistics, and number of common items on…

  18. Examining the Impact of Drifted Polytomous Anchor Items on Test Characteristic Curve (TCC) Linking and IRT True Score Equating. Research Report. ETS RR-12-09

    ERIC Educational Resources Information Center

    Li, Yanmei

    2012-01-01

    In a common-item (anchor) equating design, the common items should be evaluated for item parameter drift. Drifted items are often removed. For a test that contains mostly dichotomous items and only a small number of polytomous items, removing some drifted polytomous anchor items may result in anchor sets that no longer resemble mini-versions of…

  19. Evolution of a Test Item

    ERIC Educational Resources Information Center

    Spaan, Mary

    2007-01-01

    This article follows the development of test items (see "Language Assessment Quarterly", Volume 3 Issue 1, pp. 71-79 for the article "Test and Item Specifications Development"), beginning with a review of test and item specifications, then proceeding to writing and editing of items, pretesting and analysis, and finally selection of an item for a…

  20. Item Banking. Basic Testing Series.

    ERIC Educational Resources Information Center

    Childs, Roy

    This pamphlet describes the exciting potential of item banking--a new approach to testing which combines both comparability of scores with flexibility of test format. Item banks are collections of items where the characteristics of each item is known and these characteristics can be summated to described a test made from such items. The principle…

  1. 15 CFR 742.15 - Encryption items.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... encryption software are distinguished from controls on other software regulated under the EAR. (a) Licensing... items (“EI”) classified under ECCN 5A002.a.1, a.2, a.5, a.6 and a.9; 5D002.a or c.1 for equipment... items may be exported under the provisions of License Exception ENC set forth in § 740.17 of the...

  2. Novelty and Promotional Items

    EPA Pesticide Factsheets

    Small novelty or promotional products, primarily used for outreach and educational purposes, must effectively convey a message, and their purchase will only be allowed if the item will contribute to the accomplishment of the Agency's mission.

  3. Longwall mining

    SciTech Connect

    1995-03-14

    As part of EIA`s program to provide information on coal, this report, Longwall-Mining, describes longwall mining and compares it with other underground mining methods. Using data from EIA and private sector surveys, the report describes major changes in the geologic, technological, and operating characteristics of longwall mining over the past decade. Most important, the report shows how these changes led to dramatic improvements in longwall mining productivity. For readers interested in the history of longwall mining and greater detail on recent developments affecting longwall mining, the report includes a bibliography.

  4. Identifying Unbiased Items for Screening Preschoolers for Disruptive Behavior Problems.

    PubMed

    Studts, Christina R; Polaha, Jodi; van Zyl, Michiel A

    2016-10-25

    OBJECTIVE : Efficient identification and referral to behavioral services are crucial in addressing early-onset disruptive behavior problems. Existing screening instruments for preschoolers are not ideal for pediatric primary care settings serving diverse populations. Eighteen candidate items for a new brief screening instrument were examined to identify those exhibiting measurement bias (i.e., differential item functioning, DIF) by child characteristics. METHOD : Parents/guardians of preschool-aged children (N = 900) from four primary care settings completed two full-length behavioral rating scales. Items measuring disruptive behavior problems were tested for DIF by child race, sex, and socioeconomic status using two approaches: item response theory-based likelihood ratio tests and ordinal logistic regression. RESULTS : Of 18 items, eight were identified with statistically significant DIF by at least one method. CONCLUSIONS : The bias observed in 8 of 18 items made them undesirable for screening diverse populations of children. These items were excluded from the new brief screening tool.

  5. Investigating an Invariant Item Ordering for Polytomously Scored Items

    ERIC Educational Resources Information Center

    Ligtvoet, Rudy; van der Ark, L. Andries; te Marvelde, Janneke M.; Sijtsma, Klaas

    2010-01-01

    This article discusses the concept of an invariant item ordering (IIO) for polytomously scored items and proposes methods for investigating an IIO in real test data. Method manifest IIO is proposed for assessing whether item response functions intersect. Coefficient H[superscript T] is defined for polytomously scored items. Given that an IIO…

  6. The Role of Item Models in Automatic Item Generation

    ERIC Educational Resources Information Center

    Gierl, Mark J.; Lai, Hollis

    2012-01-01

    Automatic item generation represents a relatively new but rapidly evolving research area where cognitive and psychometric theories are used to produce tests that include items generated using computer technology. Automatic item generation requires two steps. First, test development specialists create item models, which are comparable to templates…

  7. Extending item response theory to online homework

    NASA Astrophysics Data System (ADS)

    Kortemeyer, Gerd

    2014-06-01

    Item response theory (IRT) becomes an increasingly important tool when analyzing "big data" gathered from online educational venues. However, the mechanism was originally developed in traditional exam settings, and several of its assumptions are infringed upon when deployed in the online realm. For a large-enrollment physics course for scientists and engineers, the study compares outcomes from IRT analyses of exam and homework data, and then proceeds to investigate the effects of each confounding factor introduced in the online realm. It is found that IRT yields the correct trends for learner ability and meaningful item parameters, yet overall agreement with exam data is moderate. It is also found that learner ability and item discrimination is robust over a wide range with respect to model assumptions and introduced noise. Item difficulty is also robust, but over a narrower range.

  8. Research on parallel algorithm for sequential pattern mining

    NASA Astrophysics Data System (ADS)

    Zhou, Lijuan; Qin, Bai; Wang, Yu; Hao, Zhongxiao

    2008-03-01

    Sequential pattern mining is the mining of frequent sequences related to time or other orders from the sequence database. Its initial motivation is to discover the laws of customer purchasing in a time section by finding the frequent sequences. In recent years, sequential pattern mining has become an important direction of data mining, and its application field has not been confined to the business database and has extended to new data sources such as Web and advanced science fields such as DNA analysis. The data of sequential pattern mining has characteristics as follows: mass data amount and distributed storage. Most existing sequential pattern mining algorithms haven't considered the above-mentioned characteristics synthetically. According to the traits mentioned above and combining the parallel theory, this paper puts forward a new distributed parallel algorithm SPP(Sequential Pattern Parallel). The algorithm abides by the principal of pattern reduction and utilizes the divide-and-conquer strategy for parallelization. The first parallel task is to construct frequent item sets applying frequent concept and search space partition theory and the second task is to structure frequent sequences using the depth-first search method at each processor. The algorithm only needs to access the database twice and doesn't generate the candidated sequences, which abates the access time and improves the mining efficiency. Based on the random data generation procedure and different information structure designed, this paper simulated the SPP algorithm in a concrete parallel environment and implemented the AprioriAll algorithm. The experiments demonstrate that compared with AprioriAll, the SPP algorithm had excellent speedup factor and efficiency.

  9. Assessment of differential item functioning.

    PubMed

    Wang, Wen-Chung

    2008-01-01

    This study addresses several important issues in assessment of differential item functioning (DIF). It starts with the definition of DIF, effectiveness of using item fit statistics to detect DIF, and linear modeling of DIF in dichotomous items, polytomous items, facets, and testlet-based items. Because a common metric over groups of test-takers is a prerequisite in DIF assessment, this study reviews three such methods of establishing a common metric: the equal-mean-difficulty method, the all-other-item method, and the constant-item (CI) method. A small simulation demonstrates the superiority of the CI method over the others. As the CI method relies on a correct specification of DIF-free items to serve as anchors, a method of identifying such items is recommended and its effectiveness is illustrated through a simulation. Finally, this study discusses how to assess practical significance of DIF at both item and test levels.

  10. Limited life item management

    NASA Technical Reports Server (NTRS)

    Eaglen, R. L.

    1971-01-01

    Plans are available for age-sensitive hardware management. Control plan identifies shelf life or age control requirements for materials considered age sensitive, use sensitive, or time service or shelf life controlled items, and describes methods of arriving at age controls through adherence to detailed specifications.

  11. Reading Current Events Items.

    ERIC Educational Resources Information Center

    Ediger, Marlow

    People who live in a democracy should be well informed of local, state, national, and international happenings. Students should become curious about news items and relate current happenings to the personal self. They must possess skills in word recognition and in diverse kinds of comprehension since reading is an important way to glean current…

  12. Examining Differential Item Functions of Different Item Ordered Test Forms According to Item Difficulty Levels

    ERIC Educational Resources Information Center

    Çokluk, Ömay; Gül, Emrah; Dogan-Gül, Çilem

    2016-01-01

    The study aims to examine whether differential item function is displayed in three different test forms that have item orders of random and sequential versions (easy-to-hard and hard-to-easy), based on Classical Test Theory (CTT) and Item Response Theory (IRT) methods and bearing item difficulty levels in mind. In the correlational research, the…

  13. 26 CFR 1.751-1 - Unrealized receivables and inventory items.

    Code of Federal Regulations, 2010 CFR

    2010-04-01

    ..., also includes potential gain from mining property defined in section 617(f)(2). With respect to each item of partnership mining property so defined, the potential gain is the amount that would be treated... the taxable year, or property held by the partnership primarily for sale to customers in the...

  14. 26 CFR 1.751-1 - Unrealized receivables and inventory items.

    Code of Federal Regulations, 2014 CFR

    2014-04-01

    ..., also includes potential gain from mining property defined in section 617(f)(2). With respect to each item of partnership mining property so defined, the potential gain is the amount that would be treated... the taxable year, or property held by the partnership primarily for sale to customers in the...

  15. 26 CFR 1.751-1 - Unrealized receivables and inventory items.

    Code of Federal Regulations, 2011 CFR

    2011-04-01

    ..., also includes potential gain from mining property defined in section 617(f)(2). With respect to each item of partnership mining property so defined, the potential gain is the amount that would be treated... the taxable year, or property held by the partnership primarily for sale to customers in the...

  16. 26 CFR 1.751-1 - Unrealized receivables and inventory items.

    Code of Federal Regulations, 2012 CFR

    2012-04-01

    ..., also includes potential gain from mining property defined in section 617(f)(2). With respect to each item of partnership mining property so defined, the potential gain is the amount that would be treated... the taxable year, or property held by the partnership primarily for sale to customers in the...

  17. 26 CFR 1.751-1 - Unrealized receivables and inventory items.

    Code of Federal Regulations, 2013 CFR

    2013-04-01

    ..., also includes potential gain from mining property defined in section 617(f)(2). With respect to each item of partnership mining property so defined, the potential gain is the amount that would be treated... the taxable year, or property held by the partnership primarily for sale to customers in the...

  18. ICCS 2009 User Guide for the International Database. Supplement 5: ICCS 2009 Released Items

    ERIC Educational Resources Information Center

    Brese, Falk; Jung, Michael; Mirazchiyski, Plamen; Schulz, Wolfram; Zuehlke, Olaf

    2011-01-01

    This document contains released items used in the ICCS 2009 main survey. Seven clusters of items were used in the study in a rotated booklet design with three clusters per test booklet. Clusters 1 and 7 comprise the released item set. Cluster 1 comprises items that were newly developed for ICCS 2009 and Cluster 7 is drawn from previously secure…

  19. Web Mining

    NASA Astrophysics Data System (ADS)

    Fürnkranz, Johannes

    The World-Wide Web provides every internet citizen with access to an abundance of information, but it becomes increasingly difficult to identify the relevant pieces of information. Research in web mining tries to address this problem by applying techniques from data mining and machine learning to Web data and documents. This chapter provides a brief overview of web mining techniques and research areas, most notably hypertext classification, wrapper induction, recommender systems and web usage mining.

  20. Extending Item Response Theory to Online Homework

    ERIC Educational Resources Information Center

    Kortemeyer, Gerd

    2014-01-01

    Item response theory (IRT) becomes an increasingly important tool when analyzing "big data" gathered from online educational venues. However, the mechanism was originally developed in traditional exam settings, and several of its assumptions are infringed upon when deployed in the online realm. For a large-enrollment physics course for…

  1. Data Mining.

    ERIC Educational Resources Information Center

    Benoit, Gerald

    2002-01-01

    Discusses data mining (DM) and knowledge discovery in databases (KDD), taking the view that KDD is the larger view of the entire process, with DM emphasizing the cleaning, warehousing, mining, and visualization of knowledge discovery in databases. Highlights include algorithms; users; the Internet; text mining; and information extraction.…

  2. Development of the PROMIS® Health Expectancies of Smoking Item Banks

    PubMed Central

    Tucker, Joan S.; Shadel, William G.; Stucky, Brian D.; Cerully, Jennifer; Li, Zhen; Hansen, Mark; Cai, Li

    2014-01-01

    Introduction: Smokers’ health-related outcome expectancies are associated with a number of important constructs in smoking research, yet there are no measures currently available that focus exclusively on this domain. This paper describes the development and evaluation of item banks for assessing the health expectancies of smoking. Methods: Using data from a sample of daily (N = 4,201) and nondaily (N = 1,183) smokers, we conducted a series of item factor analyses, item response theory analyses, and differential item functioning analyses (according to gender, age, and race/ethnicity) to arrive at a unidimensional set of health expectancies items for daily and nondaily smokers. We also evaluated the performance of short forms (SFs) and computer adaptive tests (CATs) to efficiently assess health expectancies. Results: A total of 24 items were included in the Health Expectancies item banks; 13 items are common across daily and nondaily smokers, 6 are unique to daily, and 5 are unique to nondaily. For both daily and nondaily smokers, the Health Expectancies item banks are unidimensional, reliable (reliability = 0.95 and 0.96, respectively), and perform similarly across gender, age, and race/ethnicity groups. A SF common to daily and nondaily smokers consists of 6 items (reliability = 0.87). Results from simulated CATs showed that health expectancies can be assessed with good precision with an average of 5–6 items adaptively selected from the item banks. Conclusions: Health expectancies of smoking can be assessed on the basis of these item banks via SFs, CATs, or through a tailored set of items selected for a specific research purpose. PMID:25118229

  3. Prevention of retained surgical items.

    PubMed

    Feldman, David L

    2011-01-01

    Reduction in retained surgical items is an important part of any operating room patient-safety effort. Any item used in an operation can result in a retained surgical item, but sponges are the most frequent and the abdomen is the most common location. Retained sponges can cause significant morbidity, and the costs associated with both prevention and treatment of retained surgical items, including legal costs, can be considerable. This review will examine counting, teamwork, radiography, and new technology as methods used to prevent retained surgical items. Even though none of these techniques individually is likely to completely prevent retained surgical items, when used together the numbers can be reduced.

  4. The Impact of Item Characteristics on Item and Scale Validity

    ERIC Educational Resources Information Center

    Johnson, John A.

    2004-01-01

    This study describes the relation between personality items' validities, defined as the items' correlations with acquaintance ratings on the Big 5 personality factors, and other itemmetric properties including ambiguity, syntactic complexity, social desirability, content, and trait indicativity. Five external validity coefficients for each item on…

  5. IRT Item Parameter Scaling for Developing New Item Pools

    ERIC Educational Resources Information Center

    Kang, Hyeon-Ah; Lu, Ying; Chang, Hua-Hua

    2017-01-01

    Increasing use of item pools in large-scale educational assessments calls for an appropriate scaling procedure to achieve a common metric among field-tested items. The present study examines scaling procedures for developing a new item pool under a spiraled block linking design. The three scaling procedures are considered: (a) concurrent…

  6. Component Identification and Item Difficulty of Raven's Matrices Items.

    ERIC Educational Resources Information Center

    Green, Kathy E.; Kluever, Raymond C.

    Item components that might contribute to the difficulty of items on the Raven Colored Progressive Matrices (CPM) and the Standard Progressive Matrices (SPM) were studied. Subjects providing responses to CPM items were 269 children aged 2 years 9 months to 11 years 8 months, most of whom were referred for testing as potentially gifted. A second…

  7. Item Context Factors Affecting Students' Performance on Mathematics Items

    ERIC Educational Resources Information Center

    Salgado, Felipe Almuna; Stacey, Kaye

    2014-01-01

    This paper reports how the context in which a mathematics item is embedded impacts on students' performance. The performance of Year 10 students on four PISA items was compared with performance on variants with more familiar contexts. Performance was not better when they solved items with more familiar contexts but there was some evidence that…

  8. Real and Artificial Differential Item Functioning in Polytomous Items

    ERIC Educational Resources Information Center

    Andrich, David; Hagquist, Curt

    2015-01-01

    Differential item functioning (DIF) for an item between two groups is present if, for the same person location on a variable, persons from different groups have different expected values for their responses. Applying only to dichotomously scored items in the popular Mantel-Haenszel (MH) method for detecting DIF in which persons are classified by…

  9. Lack of autoantibody induction by mercury exposure in artisanal gold mining settings in Colombia: Findings and a review of the epidemiology literature.

    PubMed

    Sánchez Rodríguez, Luz Helena; Flórez-Vargas, Oscar; Rodríguez-Villamizar, Laura Andrea; Vargas Fiallo, Yolanda; Stashenko, Elena E; Ramírez, Gerardo

    2015-01-01

    Mercury (Hg) has been implicated as an immunotoxicant in experimental animal models, but its role in the induction of human autoimmunity remains unclear due to contradictory findings. Therefore, it has been claimed that it is important to examine other populations in order to clarify the role of Hg in these diseases. The aim of this study was to investigate whether occupational Hg exposure due to artisanal gold mining is associated with the prevalence of autoimmune biomarkers. A cross-sectional study was conducted comparing Hg-exposed gold miners (n = 164) with a control population (n = 127). Hair, blood, and 24-h urine samples were collected for measures of Hg levels, as well as of anti-nuclear antibodies (ANA) and rheumatoid factor (RF). Participants were clinically evaluated by a general practice physician, a rheumatologist, and a toxicologist. Statistically significant differences (p < 0.001) were found between Hg-exposed and non-exposed groups for all Hg biomarkers tested: blood (7.03 versus 2.46 µg Hg/L), urine (3.96 versus 1.48 µg Hg/g creatinine), and hair (0.79 versus 0.39 µg Hg/g). No difference was observed in ANA (cut-off titre of 1:80; PR = 0.93, 95% CI = 0.45-1.90) and RF (cut-off = 30 IU/mL; PR = 0.062, 95% CI = 0.03-1.08) status between the groups. In conclusion, the findings here do not support the hypothesis that Hg exposure due to artisanal gold mining activities had a significant impact on autoantibodies as biomarkers of autoimmune diseases. In a review context, the epidemiological findings were interpreted in light of the conflicting data in the literature about how Hg exposure was linked to development of autoantibodies. Validation of these findings in prospective studies is needed to firmly establish the role of Hg in development of autoimmunity in human populations.

  10. The Effect of Item Sequence on Bar Examination Scores.

    ERIC Educational Resources Information Center

    Klein, Stephen P.; Bolus, Roger

    A solution to reduce the likelihood of one examinee copying another's answers on large scale tests that require all examinees to answer the same set of questions is to use multiple test forms that differ in terms of item ordering. This study was conducted to determine whether varying the sequence in which blocks of items were presented to…

  11. The Quality of Domain-Referenced Test Items.

    ERIC Educational Resources Information Center

    Haladyna, Thomas M.

    The objectives of this study were to first determine whether or not the empirical item analysis of domain referenced tests (DR) was justified; and second, in the event that it was, which of a set of recommended procedures was most effective for determining item quality. The analysis that followed led to the conclusion that empirical procedures…

  12. 17 CFR 229.1100 - (Item 1100) General.

    Code of Federal Regulations, 2014 CFR

    2014-04-01

    ... AND CONSERVATION ACT OF 1975-REGULATION S-K Asset-Backed Securities (Regulation AB) § 229.1100 (Item 1100) General. (a) Application of Regulation AB. Regulation AB (§§ 229.1100 through 229.1123) is the... this Regulation AB, including the definition of “asset-backed security,” are set forth in Item 1101....

  13. 17 CFR 229.1100 - (Item 1100) General.

    Code of Federal Regulations, 2011 CFR

    2011-04-01

    ... AND CONSERVATION ACT OF 1975-REGULATION S-K Asset-Backed Securities (Regulation AB) § 229.1100 (Item 1100) General. (a) Application of Regulation AB. Regulation AB (§§ 229.1100 through 229.1123) is the... this Regulation AB, including the definition of “asset-backed security,” are set forth in Item 1101....

  14. 17 CFR 229.1100 - (Item 1100) General.

    Code of Federal Regulations, 2013 CFR

    2013-04-01

    ... AND CONSERVATION ACT OF 1975-REGULATION S-K Asset-Backed Securities (Regulation AB) § 229.1100 (Item 1100) General. (a) Application of Regulation AB. Regulation AB (§§ 229.1100 through 229.1123) is the... this Regulation AB, including the definition of “asset-backed security,” are set forth in Item 1101....

  15. 17 CFR 229.1100 - (Item 1100) General.

    Code of Federal Regulations, 2012 CFR

    2012-04-01

    ... AND CONSERVATION ACT OF 1975-REGULATION S-K Asset-Backed Securities (Regulation AB) § 229.1100 (Item 1100) General. (a) Application of Regulation AB. Regulation AB (§§ 229.1100 through 229.1123) is the... this Regulation AB, including the definition of “asset-backed security,” are set forth in Item 1101....

  16. Costs of Matrix Sampling of Test Items. ERIC Digest.

    ERIC Educational Resources Information Center

    Childs, Ruth A.; Jaciw, Andrew P.

    Matrix sampling of test items, the division of a set of items into different versions of a test form, is used by several large-scale testing programs. This Digest discusses nine categories of costs associated with matrix sampling. These categories are: (1) development costs; (2) materials costs; (3) administration costs; (4) educational costs; (5)…

  17. Tree versus Geometric Representation of Tests and Items.

    ERIC Educational Resources Information Center

    Beller, Michael

    1990-01-01

    Geometric approaches to representing interrelations among tests and items are compared with an additive tree model (ATM), using 2,644 examinees and 2 other data sets. The ATM's close fit to the data and its coherence of presentation indicate that it is the best means of representing tests and items. (TJH)

  18. Detecting Local Item Dependence in Polytomous Adaptive Data

    ERIC Educational Resources Information Center

    Mislevy, Jessica L.; Rupp, Andre A.; Harring, Jeffrey R.

    2012-01-01

    A rapidly expanding arena for item response theory (IRT) is in attitudinal and health-outcomes survey applications, often with polytomous items. In particular, there is interest in computer adaptive testing (CAT). Meeting model assumptions is necessary to realize the benefits of IRT in this setting, however. Although initial investigations of…

  19. 17 CFR 229.1122 - (Item 1122) Compliance with applicable servicing criteria.

    Code of Federal Regulations, 2012 CFR

    2012-04-01

    ... (Regulation AB) § 229.1122 (Item 1122) Compliance with applicable servicing criteria. (a) Reports on... (3) or Item 1115 of this Regulation AB, is maintained as set forth in the transaction agreements... 1100(d)(2) of this Regulation AB....

  20. 17 CFR 229.1122 - (Item 1122) Compliance with applicable servicing criteria.

    Code of Federal Regulations, 2014 CFR

    2014-04-01

    ... (Regulation AB) § 229.1122 (Item 1122) Compliance with applicable servicing criteria. (a) Reports on... (3) or Item 1115 of this Regulation AB, is maintained as set forth in the transaction agreements... 1100(d)(2) of this Regulation AB....

  1. 17 CFR 229.1122 - (Item 1122) Compliance with applicable servicing criteria.

    Code of Federal Regulations, 2011 CFR

    2011-04-01

    ... (Regulation AB) § 229.1122 (Item 1122) Compliance with applicable servicing criteria. (a) Reports on... (3) or Item 1115 of this Regulation AB, is maintained as set forth in the transaction agreements... 1100(d)(2) of this Regulation AB....

  2. 17 CFR 229.1122 - (Item 1122) Compliance with applicable servicing criteria.

    Code of Federal Regulations, 2010 CFR

    2010-04-01

    ... (Regulation AB) § 229.1122 (Item 1122) Compliance with applicable servicing criteria. (a) Reports on... (3) or Item 1115 of this Regulation AB, is maintained as set forth in the transaction agreements... 1100(d)(2) of this Regulation AB....

  3. 17 CFR 229.1122 - (Item 1122) Compliance with applicable servicing criteria.

    Code of Federal Regulations, 2013 CFR

    2013-04-01

    ... (Regulation AB) § 229.1122 (Item 1122) Compliance with applicable servicing criteria. (a) Reports on... (3) or Item 1115 of this Regulation AB, is maintained as set forth in the transaction agreements... 1100(d)(2) of this Regulation AB....

  4. 48 CFR 252.246-7006 - Warranty Tracking of Serialized Items.

    Code of Federal Regulations, 2012 CFR

    2012-10-01

    ... means a set of data elements marked on an item that is globally unique and unambiguous. Usage means the... to trace a warranted item from delivery through completion of the effectivity of the warranty....

  5. 48 CFR 252.246-7006 - Warranty Tracking of Serialized Items.

    Code of Federal Regulations, 2011 CFR

    2011-10-01

    ... means a set of data elements marked on an item that is globally unique and unambiguous. Usage means the... to trace a warranted item from delivery through completion of the effectivity of the warranty....

  6. 48 CFR 252.246-7006 - Warranty Tracking of Serialized Items.

    Code of Federal Regulations, 2014 CFR

    2014-10-01

    ... means a set of data elements marked on an item that is globally unique and unambiguous. Usage means the... to trace a warranted item from delivery through completion of the effectivity of the warranty....

  7. 48 CFR 252.246-7006 - Warranty Tracking of Serialized Items.

    Code of Federal Regulations, 2013 CFR

    2013-10-01

    ... means a set of data elements marked on an item that is globally unique and unambiguous. Usage means the... to trace a warranted item from delivery through completion of the effectivity of the warranty....

  8. Methodological Issues in Using the Rasch Model To Select Cross Culturally Equivalent Items in Order To Develop a Quality of Life Index: The Analysis of Four WHOQOL-100 Data Sets (Argentina, France, Hong Kong, United Kingdom).

    ERIC Educational Resources Information Center

    Leplege, Alain; Ecosse, Emmanuel

    2000-01-01

    Describes the source instrument, the database, and the experimental methodology that have been used in developing the World Health Organization Quality of Life (WHOQOL) profiles to allow the comparison of quality of life findings from a variety of cultural settings. Illustrates the precautions necessary in interpreting scores from different…

  9. Effects of Ignoring Item Interaction on Item Parameter Estimation and Detection of Interacting Items

    ERIC Educational Resources Information Center

    Chen, Cheng-Te; Wang, Wen-Chung

    2007-01-01

    This study explores the effects of ignoring item interaction on item parameter estimation and the efficiency of using the local dependence index Q[subscript 3] and the SAS NLMIXED procedure to detect item interaction under the three-parameter logistic model and the generalized partial credit model. Through simulations, it was found that ignoring…

  10. The DIF-Free-Then-DIF Strategy for the Assessment of Differential Item Functioning

    ERIC Educational Resources Information Center

    Wang, Wen-Chung; Shih, Ching-Lin; Sun, Guo-Wei

    2012-01-01

    The DIF-free-then-DIF (DFTD) strategy consists of two steps: (a) select a set of items that are the most likely to be DIF-free and (b) assess the other items for DIF (differential item functioning) using the designated items as anchors. The rank-based method together with the computer software IRTLRDIF can select a set of DIF-free polytomous items…

  11. Applying Association Rule of the Data Mining Method for the Network Event Analysis

    NASA Astrophysics Data System (ADS)

    Kim, Wankyung; Soh, Wooyoung

    2007-12-01

    Network event analysis gives useful information on the network status that helps protect from attacks. It involves finding sets of frequently used packet information such as IP addresses and requires real-time processing by its nature. This paper applies association rules to network event analysis. Originally association rules used for data mining can be applied to find frequent item sets. So, if frequent items occur on networks, information system can guess that there is a threat. But existed association rules such as Apriori algorithm are not suitable for analyzing network events on real-time due to the high usage of CPU and memory and thus low processing speed. This paper develops a network event audit module by applying association rules to network events using a new algorithm instead of Apriori algorithm. Test results show that the application of the new algorithm gives drastically low usage of both CPU and memory for network event analysis compared with existing Apriori algorithm.

  12. African mining

    SciTech Connect

    Not Available

    1987-01-01

    This book contains papers presented at a conference addressing the development of the minerals industry in Africa. Topics covered include: A review - past, present and future - of Zimbabwe's mining industry; Geomorphological processes and related mineralization in Tanzania; and Rock mechanics investigations at Mufulira mine, Zambia.

  13. 10 CFR 74.55 - Item monitoring.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... days for Category IA items and 60 calendar days for Category IB items contained in a vault or in a... days for Category IA items and seven calendar days for Category BI items located elsewhere in the...

  14. 10 CFR 74.55 - Item monitoring.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... days for Category IA items and 60 calendar days for Category IB items contained in a vault or in a... days for Category IA items and seven calendar days for Category BI items located elsewhere in the...

  15. 10 CFR 74.55 - Item monitoring.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... days for Category IA items and 60 calendar days for Category IB items contained in a vault or in a... days for Category IA items and seven calendar days for Category BI items located elsewhere in the...

  16. 10 CFR 74.55 - Item monitoring.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... days for Category IA items and 60 calendar days for Category IB items contained in a vault or in a... days for Category IA items and seven calendar days for Category BI items located elsewhere in the...

  17. 10 CFR 74.55 - Item monitoring.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... days for Category IA items and 60 calendar days for Category IB items contained in a vault or in a... days for Category IA items and seven calendar days for Category BI items located elsewhere in the...

  18. MIMIC Methods for Assessing Differential Item Functioning in Polytomous Items

    ERIC Educational Resources Information Center

    Wang, Wen-Chung; Shih, Ching-Lin

    2010-01-01

    Three multiple indicators-multiple causes (MIMIC) methods, namely, the standard MIMIC method (M-ST), the MIMIC method with scale purification (M-SP), and the MIMIC method with a pure anchor (M-PA), were developed to assess differential item functioning (DIF) in polytomous items. In a series of simulations, it appeared that all three methods…

  19. 48 CFR 852.214-72 - Alternate item(s).

    Code of Federal Regulations, 2014 CFR

    2014-10-01

    ... 48 Federal Acquisition Regulations System 5 2014-10-01 2014-10-01 false Alternate item(s). 852.214-72 Section 852.214-72 Federal Acquisition Regulations System DEPARTMENT OF VETERANS AFFAIRS CLAUSES AND FORMS SOLICITATION PROVISIONS AND CONTRACT CLAUSES Texts of Provisions and Clauses...

  20. Differential Item Functioning Analysis Using Rasch Item Information Functions

    ERIC Educational Resources Information Center

    Wyse, Adam E.; Mapuranga, Raymond

    2009-01-01

    Differential item functioning (DIF) analysis is a statistical technique used for ensuring the equity and fairness of educational assessments. This study formulates a new DIF analysis method using the information similarity index (ISI). ISI compares item information functions when data fits the Rasch model. Through simulations and an international…

  1. Evaluating Item Fit for Multidimensional Item Response Models

    ERIC Educational Resources Information Center

    Zhang, Bo; Stone, Clement A.

    2008-01-01

    This research examines the utility of the s-x[superscript 2] statistic proposed by Orlando and Thissen (2000) in evaluating item fit for multidimensional item response models. Monte Carlo simulation was conducted to investigate both the Type I error and statistical power of this fit statistic in analyzing two kinds of multidimensional test…

  2. A Mixed Effects Randomized Item Response Model

    ERIC Educational Resources Information Center

    Fox, J.-P.; Wyrick, Cheryl

    2008-01-01

    The randomized response technique ensures that individual item responses, denoted as true item responses, are randomized before observing them and so-called randomized item responses are observed. A relationship is specified between randomized item response data and true item response data. True item response data are modeled with a (non)linear…

  3. Three controversies over item disclosure in medical licensure examinations

    PubMed Central

    Park, Yoon Soo; Yang, Eunbae B.

    2015-01-01

    In response to views on public's right to know, there is growing attention to item disclosure – release of items, answer keys, and performance data to the public – in medical licensure examinations and their potential impact on the test's ability to measure competence and select qualified candidates. Recent debates on this issue have sparked legislative action internationally, including South Korea, with prior discussions among North American countries dating over three decades. The purpose of this study is to identify and analyze three issues associated with item disclosure in medical licensure examinations – 1) fairness and validity, 2) impact on passing levels, and 3) utility of item disclosure – by synthesizing existing literature in relation to standards in testing. Historically, the controversy over item disclosure has centered on fairness and validity. Proponents of item disclosure stress test takers’ right to know, while opponents argue from a validity perspective. Item disclosure may bias item characteristics, such as difficulty and discrimination, and has consequences on setting passing levels. To date, there has been limited research on the utility of item disclosure for large scale testing. These issues requires ongoing and careful consideration. PMID:26374693

  4. Real-time intelligent decision making with data mining

    NASA Astrophysics Data System (ADS)

    Gupta, Deepak P.; Gopalakrishnan, Bhaskaran

    2004-03-01

    Database mining, widely known as knowledge discovery and data mining (KDD), has attracted lot of attention in recent years. With the rapid growth of databases in commercial, industrial, administrative and other applications, it is necessary and interesting to extract knowledge automatically from huge amount of data. Almost all the organizations are generating data and information at an unprecedented rate and they need to get some useful information from this data. Data mining is the extraction of non-trivial, previously unknown and potentially useful patterns, trends, dependence and correlation known as association rules among data values in large databases. In last ten to fifteen years, data mining spread out from one company to the other to help them understand more about customers' aspect of quality and response and also distinguish the customers they want from those they do not. A credit-card company found that customers who complete their applications in pencil rather than pen are more likely to default. There is a program that identifies callers by purchase history. The bigger the spender, the quicker the call will be answered. If you feel your call is being answered in the order in which it was received, think again. Many algorithms assume that data is static in nature and mine the rules and relations in that data. But for a dynamic database e.g. in most of the manufacturing industries, the rules and relations thus developed among the variables/items no longer hold true. A simple approach may be to mine the associations among the variables after every fixed period of time. But again, how much the length of this period should be, is a question to be answered. The next problem with the static data mining is that some of the relationships that might be of interest from one period to the other may be lost after a new set of data is used. To reflect the effect of new data set and current status of the association rules where some of the strong rules might become

  5. Career and Occupational Development Items.

    ERIC Educational Resources Information Center

    Education Commission of the States, Denver, CO. National Assessment of Educational Progress.

    The career and occupational development items contained in this document are part of a kit consisting of four documents which bring together different types of items that measure a number of career and occupational development (COD) objectives developed by the National Assessment of Educational Progress (NAEP). (NAEP--which completed a national…

  6. Generalizability in Item Response Modeling

    ERIC Educational Resources Information Center

    Briggs, Derek C.; Wilson, Mark

    2007-01-01

    An approach called generalizability in item response modeling (GIRM) is introduced in this article. The GIRM approach essentially incorporates the sampling model of generalizability theory (GT) into the scaling model of item response theory (IRT) by making distributional assumptions about the relevant measurement facets. By specifying a random…

  7. Integrating Entropy and Closed Frequent Pattern Mining for Social Network Modelling and Analysis

    NASA Astrophysics Data System (ADS)

    Adnan, Muhaimenul; Alhajj, Reda; Rokne, Jon

    The recent increase in the explicitly available social networks has attracted the attention of the research community to investigate how it would be possible to benefit from such a powerful model in producing effective solutions for problems in other domains where the social network is implicit; we argue that social networks do exist around us but the key issue is how to realize and analyze them. This chapter presents a novel approach for constructing a social network model by an integrated framework that first preparing the data to be analyzed and then applies entropy and frequent closed patterns mining for network construction. For a given problem, we first prepare the data by identifying items and transactions, which arc the basic ingredients for frequent closed patterns mining. Items arc main objects in the problem and a transaction is a set of items that could exist together at one time (e.g., items purchased in one visit to the supermarket). Transactions could be analyzed to discover frequent closed patterns using any of the well-known techniques. Frequent closed patterns have the advantage that they successfully grab the inherent information content of the dataset and is applicable to a broader set of domains. Entropies of the frequent closed patterns arc used to keep the dimensionality of the feature vectors to a reasonable size; it is a kind of feature reduction process. Finally, we analyze the dynamic behavior of the constructed social network. Experiments were conducted on a synthetic dataset and on the Enron corpus email dataset. The results presented in the chapter show that social networks extracted from a feature set as frequent closed patterns successfully carry the community structure information. Moreover, for the Enron email dataset, we present an analysis to dynamically indicate the deviations from each user's individual and community profile. These indications of deviations can be very useful to identify unusual events.

  8. Item Difficulty in the Evaluation of Computer-Based Instruction: An Example from Neuroanatomy

    ERIC Educational Resources Information Center

    Chariker, Julia H.; Naaz, Farah; Pani, John R.

    2012-01-01

    This article reports large item effects in a study of computer-based learning of neuroanatomy. Outcome measures of the efficiency of learning, transfer of learning, and generalization of knowledge diverged by a wide margin across test items, with certain sets of items emerging as particularly difficult to master. In addition, the outcomes of…

  9. Estimation of Item Response Theory Parameters in the Presence of Missing Data

    ERIC Educational Resources Information Center

    Finch, Holmes

    2008-01-01

    Missing data are a common problem in a variety of measurement settings, including responses to items on both cognitive and affective assessments. Researchers have shown that such missing data may create problems in the estimation of item difficulty parameters in the Item Response Theory (IRT) context, particularly if they are ignored. At the same…

  10. A Comparison of Two Area Measures for Detecting Differential Item Functioning.

    ERIC Educational Resources Information Center

    Kim, Seock-Ho; Cohen, Allan S.

    1991-01-01

    The exact and closed-interval area measures for detecting differential item functioning are compared for actual data from 1,000 African-American and 1,000 white college students taking a vocabulary test with items intentionally constructed to favor 1 set of examinees. No real differences in detection of biased items were found. (SLD)

  11. Diverse Food Items Are Similarly Categorized by 8- to 13-Year-Old Children

    ERIC Educational Resources Information Center

    Beltran, Alicia; Knight Sepulveda, Karina; Watson, Kathy; Baranowski, Tom; Baranowski, Janice; Islam, Noemi; Missaghian, Mariam

    2008-01-01

    Objective: Assess how 8- to 13-year-old children categorized and labeled food items for possible use as part of a food search strategy in a computerized 24-hour dietary recall. Design: A set of 62 cards with pictures and names of food items from 18 professionally defined food groups was sorted by each child into piles of similar food items.…

  12. An Efficiency Balanced Information Criterion for Item Selection in Computerized Adaptive Testing

    ERIC Educational Resources Information Center

    Han, Kyung T.

    2012-01-01

    Successful administration of computerized adaptive testing (CAT) programs in educational settings requires that test security and item exposure control issues be taken seriously. Developing an item selection algorithm that strikes the right balance between test precision and level of item pool utilization is the key to successful implementation…

  13. Assessing item fit for unidimensional item response theory models using residuals from estimated item response functions.

    PubMed

    Haberman, Shelby J; Sinharay, Sandip; Chon, Kyong Hee

    2013-07-01

    Residual analysis (e.g. Hambleton & Swaminathan, Item response theory: principles and applications, Kluwer Academic, Boston, 1985; Hambleton, Swaminathan, & Rogers, Fundamentals of item response theory, Sage, Newbury Park, 1991) is a popular method to assess fit of item response theory (IRT) models. We suggest a form of residual analysis that may be applied to assess item fit for unidimensional IRT models. The residual analysis consists of a comparison of the maximum-likelihood estimate of the item characteristic curve with an alternative ratio estimate of the item characteristic curve. The large sample distribution of the residual is proved to be standardized normal when the IRT model fits the data. We compare the performance of our suggested residual to the standardized residual of Hambleton et al. (Fundamentals of item response theory, Sage, Newbury Park, 1991) in a detailed simulation study. We then calculate our suggested residuals using data from an operational test. The residuals appear to be useful in assessing the item fit for unidimensional IRT models.

  14. Assessing the Evolution of Sustainability Reporting in the Mining Sector

    NASA Astrophysics Data System (ADS)

    Perez, Fabiana; Sanchez, Luis E.

    2009-06-01

    Since the 1990s several large companies have been publishing nonfinancial performance reports. Focusing initially on the physical environment, these reports evolved to consider social relations, as well as data on the firm’s economic performance. A few mining companies pioneered this trend, and in the last years some of them incorporated the three dimensions of sustainable development, publishing so-called sustainability reports. This article reviews 31 reports published between 2001 and 2006 by four major mining companies. A set of 62 assessment items organized in six categories (namely context and commitment, management, environmental, social and economic performance, and accessibility and assurance) were selected to guide the review. The items were derived from international literature and recommended best practices, including the Global Reporting Initiative G3 framework. A content analysis was performed using the report as a sampling unit, and using phrases, graphics, or tables containing certain information as data collection units. A basic rating scale (0 or 1) was used for noting the presence or absence of information and a final percentage score was obtained for each report. Results show that there is a clear evolution in report’s comprehensiveness and depth. Categories “accessibility and assurance” and “economic performance” featured the lowest scores and do not present a clear evolution trend in the period, whereas categories “context and commitment” and “social performance” presented the best results and regular improvement; the category “environmental performance,” despite it not reaching the biggest scores, also featured constant evolution. Description of data measurement techniques, besides more comprehensive third-party verification are the items most in need of improvement.

  15. Assessing the evolution of sustainability reporting in the mining sector.

    PubMed

    Perez, Fabiana; Sanchez, Luis E

    2009-06-01

    Since the 1990s several large companies have been publishing nonfinancial performance reports. Focusing initially on the physical environment, these reports evolved to consider social relations, as well as data on the firm's economic performance. A few mining companies pioneered this trend, and in the last years some of them incorporated the three dimensions of sustainable development, publishing so-called sustainability reports. This article reviews 31 reports published between 2001 and 2006 by four major mining companies. A set of 62 assessment items organized in six categories (namely context and commitment, management, environmental, social and economic performance, and accessibility and assurance) were selected to guide the review. The items were derived from international literature and recommended best practices, including the Global Reporting Initiative G3 framework. A content analysis was performed using the report as a sampling unit, and using phrases, graphics, or tables containing certain information as data collection units. A basic rating scale (0 or 1) was used for noting the presence or absence of information and a final percentage score was obtained for each report. Results show that there is a clear evolution in report's comprehensiveness and depth. Categories "accessibility and assurance" and "economic performance" featured the lowest scores and do not present a clear evolution trend in the period, whereas categories "context and commitment" and "social performance" presented the best results and regular improvement; the category "environmental performance," despite it not reaching the biggest scores, also featured constant evolution. Description of data measurement techniques, besides more comprehensive third-party verification are the items most in need of improvement.

  16. Improved Approximation Algorithms for Item Pricing with Bounded Degree and Valuation

    NASA Astrophysics Data System (ADS)

    Hamane, Ryoso; Itoh, Toshiya

    When a store sells items to customers, the store wishes to decide the prices of the items to maximize its profit. If the store sells the items with low (resp. high) prices, the customers buy more (resp. less) items, which provides less profit to the store. It would be hard for the store to decide the prices of items. Assume that a store has a set V of n items and there is a set C of m customers who wish to buy those items. The goal of the store is to decide the price of each item to maximize its profit. We refer to this maximization problem as an item pricing problem. We classify the item pricing problems according to how many items the store can sell or how the customers valuate the items. If the store can sell every item i with unlimited (resp. limited) amount, we refer to this as unlimited supply (resp. limited supply). We say that the item pricing problem is single-minded if each customer j∈C wishes to buy a set ej⊆V of items and assigns valuation w(ej)≥0. For the single-minded item pricing problems (in unlimited supply), Balcan and Blum regarded them as weighted k-hypergraphs and gave several approximation algorithms. In this paper, we focus on the (pseudo) degree of k-hypergraphs and the valuation ratio, i. e., the ratio between the smallest and the largest valuations. Then for the single-minded item pricing problems (in unlimited supply), we show improved approximation algorithms (for k-hypergraphs, general graphs, bipartite graphs, etc.) with respect to the maximum (pseudo) degree and the valuation ratio.

  17. Intrusion detection: a novel approach that combines boosting genetic fuzzy classifier and data mining techniques

    NASA Astrophysics Data System (ADS)

    Ozyer, Tansel; Alhajj, Reda; Barker, Ken

    2005-03-01

    This paper proposes an intelligent intrusion detection system (IDS) which is an integrated approach that employs fuzziness and two of the well-known data mining techniques: namely classification and association rule mining. By using these two techniques, we adopted the idea of using an iterative rule learning that extracts out rules from the data set. Our final intention is to predict different behaviors in networked computers. To achieve this, we propose to use a fuzzy rule based genetic classifier. Our approach has two main stages. First, fuzzy association rule mining is applied and a large number of candidate rules are generated for each class. Then the rules pass through pre-screening mechanism in order to reduce the fuzzy rule search space. Candidate rules obtained after pre-screening are used in genetic fuzzy classifier to generate rules for the specified classes. Classes are defined as Normal, PRB-probe, DOS-denial of service, U2R-user to root and R2L- remote to local. Second, an iterative rule learning mechanism is employed for each class to find its fuzzy rules required to classify data each time a fuzzy rule is extracted and included in the system. A Boosting mechanism evaluates the weight of each data item in order to help the rule extraction mechanism focus more on data having relatively higher weight. Finally, extracted fuzzy rules having the corresponding weight values are aggregated on class basis to find the vote of each class label for each data item.

  18. 30 CFR 57.19106 - Shaft sets.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... 30 Mineral Resources 1 2010-07-01 2010-07-01 false Shaft sets. 57.19106 Section 57.19106 Mineral Resources MINE SAFETY AND HEALTH ADMINISTRATION, DEPARTMENT OF LABOR METAL AND NONMETAL MINE SAFETY AND....19106 Shaft sets. Shaft sets shall be kept in good repair and clean of hazardous material....

  19. 30 CFR 56.19106 - Shaft sets.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... 30 Mineral Resources 1 2010-07-01 2010-07-01 false Shaft sets. 56.19106 Section 56.19106 Mineral Resources MINE SAFETY AND HEALTH ADMINISTRATION, DEPARTMENT OF LABOR METAL AND NONMETAL MINE SAFETY AND... Shaft sets. Shaft sets shall be kept in good repair and clean of hazardous material....

  20. 30 CFR 57.19106 - Shaft sets.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... 30 Mineral Resources 1 2012-07-01 2012-07-01 false Shaft sets. 57.19106 Section 57.19106 Mineral Resources MINE SAFETY AND HEALTH ADMINISTRATION, DEPARTMENT OF LABOR METAL AND NONMETAL MINE SAFETY AND....19106 Shaft sets. Shaft sets shall be kept in good repair and clean of hazardous material....

  1. 30 CFR 56.19106 - Shaft sets.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... 30 Mineral Resources 1 2013-07-01 2013-07-01 false Shaft sets. 56.19106 Section 56.19106 Mineral Resources MINE SAFETY AND HEALTH ADMINISTRATION, DEPARTMENT OF LABOR METAL AND NONMETAL MINE SAFETY AND... Shaft sets. Shaft sets shall be kept in good repair and clean of hazardous material....

  2. 30 CFR 56.19106 - Shaft sets.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... 30 Mineral Resources 1 2014-07-01 2014-07-01 false Shaft sets. 56.19106 Section 56.19106 Mineral Resources MINE SAFETY AND HEALTH ADMINISTRATION, DEPARTMENT OF LABOR METAL AND NONMETAL MINE SAFETY AND... Shaft sets. Shaft sets shall be kept in good repair and clean of hazardous material....

  3. 30 CFR 57.19106 - Shaft sets.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... 30 Mineral Resources 1 2014-07-01 2014-07-01 false Shaft sets. 57.19106 Section 57.19106 Mineral Resources MINE SAFETY AND HEALTH ADMINISTRATION, DEPARTMENT OF LABOR METAL AND NONMETAL MINE SAFETY AND....19106 Shaft sets. Shaft sets shall be kept in good repair and clean of hazardous material....

  4. 30 CFR 57.19106 - Shaft sets.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... 30 Mineral Resources 1 2011-07-01 2011-07-01 false Shaft sets. 57.19106 Section 57.19106 Mineral Resources MINE SAFETY AND HEALTH ADMINISTRATION, DEPARTMENT OF LABOR METAL AND NONMETAL MINE SAFETY AND....19106 Shaft sets. Shaft sets shall be kept in good repair and clean of hazardous material....

  5. 30 CFR 57.19106 - Shaft sets.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... 30 Mineral Resources 1 2013-07-01 2013-07-01 false Shaft sets. 57.19106 Section 57.19106 Mineral Resources MINE SAFETY AND HEALTH ADMINISTRATION, DEPARTMENT OF LABOR METAL AND NONMETAL MINE SAFETY AND....19106 Shaft sets. Shaft sets shall be kept in good repair and clean of hazardous material....

  6. 30 CFR 56.19106 - Shaft sets.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... 30 Mineral Resources 1 2012-07-01 2012-07-01 false Shaft sets. 56.19106 Section 56.19106 Mineral Resources MINE SAFETY AND HEALTH ADMINISTRATION, DEPARTMENT OF LABOR METAL AND NONMETAL MINE SAFETY AND... Shaft sets. Shaft sets shall be kept in good repair and clean of hazardous material....

  7. 30 CFR 56.19106 - Shaft sets.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... 30 Mineral Resources 1 2011-07-01 2011-07-01 false Shaft sets. 56.19106 Section 56.19106 Mineral Resources MINE SAFETY AND HEALTH ADMINISTRATION, DEPARTMENT OF LABOR METAL AND NONMETAL MINE SAFETY AND... Shaft sets. Shaft sets shall be kept in good repair and clean of hazardous material....

  8. Lunar surface mine feasibility study

    NASA Astrophysics Data System (ADS)

    Blair, Brad R.

    This paper describes a lunar surface mine, and demonstrates the economic feasibility of mining oxygen from the moon. The mine will be at the Apollo 16 landing site. Mine design issues include pit size and shape, excavation equipment, muck transport, and processing requirements. The final mine design will be driven by production requirements, and constrained by the lunar environment. This mining scenario assumes the presence of an operating lunar base. Lunar base personnel will set-up a and run the mine. The goal of producing lunar oxygen is to reduce dependence on fuel shipped from Earth. Thus, the lunar base is the customer for the finished product. The perspective of this paper is that of a mining contractor who must produce a specific product at a remote location, pay local labor, and sell the product to an onsite captive market. To make a profit, it must be less costly to build and ship specialized equipment to the site, and pay high labor and operating costs, than to export the product directly to the site.

  9. 78 FR 35974 - Proposed Information Collection; Comment Request; Coal Mine Rescue Teams; Arrangements for...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-06-14

    ... Safety and Health Administration Proposed Information Collection; Comment Request; Coal Mine Rescue Teams... protecting the safety and health of miners. 30 CFR Part 49, Mine Rescue Teams, Subpart B--Mine Rescue Teams for Underground Coal Mines, sets standards related to the availability of mine rescue teams;...

  10. Data mining in spontaneous reports.

    PubMed

    Bate, Andrew; Edwards, I R

    2006-03-01

    The increasing size of spontaneous report data sets and the increasing capability for screening such data due to increases in computational power has led to a recent increase in interest and use of data mining on such data. While data mining plays an important role in the analysis of spontaneous reports, there is general debate on how and when data mining should be best performed. While the cornerstone principles for data mining of spontaneous reports have been in place since the 1960s, several significant changes have occurred to make their use widespread. Superficially the Bayesian methods seem unnecessarily complex, particularly given the nature of the data, but in practice implementation in Bayesian framework gives clear benefits. There are difficulties evaluating the performance of the methods, but they work and save resources in managing large data sets. The use of neural networks allows more sophisticated pattern recognition to be performed.

  11. Optimizing data collection for public health decisions: a data mining approach

    PubMed Central

    2014-01-01

    Background Collecting data can be cumbersome and expensive. Lack of relevant, accurate and timely data for research to inform policy may negatively impact public health. The aim of this study was to test if the careful removal of items from two community nutrition surveys guided by a data mining technique called feature selection, can (a) identify a reduced dataset, while (b) not damaging the signal inside that data. Methods The Nutrition Environment Measures Surveys for stores (NEMS-S) and restaurants (NEMS-R) were completed on 885 retail food outlets in two counties in West Virginia between May and November of 2011. A reduced dataset was identified for each outlet type using feature selection. Coefficients from linear regression modeling were used to weight items in the reduced datasets. Weighted item values were summed with the error term to compute reduced item survey scores. Scores produced by the full survey were compared to the reduced item scores using a Wilcoxon rank-sum test. Results Feature selection identified 9 store and 16 restaurant survey items as significant predictors of the score produced from the full survey. The linear regression models built from the reduced feature sets had R2 values of 92% and 94% for restaurant and grocery store data, respectively. Conclusions While there are many potentially important variables in any domain, the most useful set may only be a small subset. The use of feature selection in the initial phase of data collection to identify the most influential variables may be a useful tool to greatly reduce the amount of data needed thereby reducing cost. PMID:24919484

  12. Multilevel Modeling of Item Position Effects

    ERIC Educational Resources Information Center

    Albano, Anthony D.

    2013-01-01

    In many testing programs it is assumed that the context or position in which an item is administered does not have a differential effect on examinee responses to the item. Violations of this assumption may bias item response theory estimates of item and person parameters. This study examines the potentially biasing effects of item position. A…

  13. Item Banking. ERIC/AE Digest.

    ERIC Educational Resources Information Center

    Rudner, Lawrence

    This digest discusses the advantages and disadvantages of using item banks, and it provides useful information for those who are considering implementing an item banking project in their school districts. The primary advantage of item banking is in test development. Using an item response theory method, such as the Rasch model, items from multiple…

  14. Effects of Incorporating Humor in Test Items.

    ERIC Educational Resources Information Center

    McMorris, Robert F.; And Others

    1985-01-01

    Two matched forms of a 50 item grammar test were developed. Twenty items designed to be humorous were included in one form. Inclusion of humorous items did not affect grammar scores on matched humorous/nonhumorous items, nor on commmon post-treatment items. Inclusion did not affect results of anxiety measures. (Author/DWH)

  15. Computerized Adaptive Testing with Item Cloning.

    ERIC Educational Resources Information Center

    Glas, Cees A. W.; van der Linden, Wim J.

    2003-01-01

    Developed a multilevel item response (IRT) model that allows for differences between the distributions of item parameters of families of item clones. Results from simulation studies based on an item pool from the Law School Admission Test illustrate the accuracy of the item pool calibration and adaptive testing procedures based on the model. (SLD)

  16. 7 CFR 2902.5 - Item designation.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... availability of such items and the economic and technological feasibility of using such items, including life cycle costs. USDA will gather information on individual products within an item and extrapolate that product information to the item level for consideration in designating items. In considering these...

  17. Printed Comments With Item Analyses

    ERIC Educational Resources Information Center

    Reid, J. Christopher

    1970-01-01

    The author suggests that a computer program be designed which not only computes item statistics, but also provides a running commetary in English to assist teachers in their analysis of test results. (PR)

  18. Determining the Significance of Item Order in Randomized Problem Sets

    ERIC Educational Resources Information Center

    Pardos, Zachary A.; Heffernan, Neil T.

    2009-01-01

    Researchers who make tutoring systems would like to know which sequences of educational content lead to the most effective learning by their students. The majority of data collected in many ITS systems consist of answers to a group of questions of a given skill often presented in a random sequence. Following work that identifies which items…

  19. Item Disordinality with the Bookmark Standard Setting Procedure.

    ERIC Educational Resources Information Center

    Skaggs, Gary; Tessema, Aster

    This paper presents an application of the bookmark procedure to a test comprised of increasing text difficulty levels. The Test of English Proficiency for Adults (TEPA) was used for this study. Three forms of the TEPA were field tested in 1999 with approximately 1,000 non-native English speaking students enrolled in English-as-a-Second-Language…

  20. The Effects of Various Item Selection Methods on the Classification Accuracy and Classification Consistency of Criterion-Referenced Instruments.

    ERIC Educational Resources Information Center

    Smith, Douglas U.

    This study examined the effects of certain item selection methods on the classification accuracy and classification consistency of criterion-referenced instruments. Three item response data sets, representing varying situations of instructional effectiveness, were simulated. Five methods of item selection were then applied to each data set for the…

  1. The Identification of Neurologically Relevant Items in the MMPI-2.

    ERIC Educational Resources Information Center

    Van Balen, H. G. G.; Van Limbeek, J.; De Mey, H. R. A.

    1997-01-01

    Forty neuropsychologists, neurologists, psychiatrists, and physiatrists identified neurologically relevant items (NRIs) in the Minnesota Multiphasic Personality Inventory-2 (MMPI-2). Raters identified four sets of NRIs: one for brain damage in general and three partially overlapping sets for stroke, traumatic brain damage, and whiplash.…

  2. Multisource causal data mining

    NASA Astrophysics Data System (ADS)

    Woodley, Robert; Gosnell, Michael; Shallenberger, Kevin

    2012-06-01

    Analysts are faced with mountains of data, and finding that relevant piece of information is the proverbial needle in a haystack, only with dozens of haystacks. Analysis tools that facilitate identifying causal relationships across multiple data sets are sorely needed. 21st Century Systems, Inc. (21CSi) has initiated research called Causal-View, a causal datamining visualization tool, to address this challenge. Causal-View is built on an agent-enabled framework. Much of the processing that Causal-View will do is in the background. When a user requests information, Data Extraction Agents launch to gather information. This initial search is a raw, Monte Carlo type search designed to gather everything available that may have relevance to an individual, location, associations, and more. This data is then processed by Data- Mining Agents. The Data-Mining Agents are driven by user supplied feature parameters. If the analyst is looking to see if the individual frequents a known haven for insurgents he may request information on his last known locations. Or, if the analyst is trying to see if there is a pattern in the individual's contacts, the mining agent can be instructed with the type and relevance of the information fields to look at. The same data is extracted from the database, but the Data Mining Agents customize the feature set to determine causal relationships the user is interested in. At this point, a Hypothesis Generation and Data Reasoning Agents take over to form conditional hypotheses about the data and pare the data, respectively. The newly formed information is then published to the agent communication backbone of Causal- View to be displayed. Causal-View provides causal analysis tools to fill the gaps in the causal chain. We present here the Causal-View concept, the initial research into data mining tools that assist in forming the causal relationships, and our initial findings.

  3. Asteroid mining

    NASA Technical Reports Server (NTRS)

    Gertsch, Richard E.

    1992-01-01

    The earliest studies of asteroid mining proposed retrieving a main belt asteroid. Because of the very long travel times to the main asteroid belt, attention has shifted to the asteroids whose orbits bring them fairly close to the Earth. In these schemes, the asteroids would be bagged and then processed during the return trip, with the asteroid itself providing the reaction mass to propel the mission homeward. A mission to one of these near-Earth asteroids would be shorter, involve less weight, and require a somewhat lower change in velocity. Since these asteroids apparently contain a wide range of potentially useful materials, our study group considered only them. The topics covered include asteroid materials and properties, asteroid mission selection, manned versus automated missions, mining in zero gravity, and a conceptual mining method.

  4. Text Mining for Neuroscience

    NASA Astrophysics Data System (ADS)

    Tirupattur, Naveen; Lapish, Christopher C.; Mukhopadhyay, Snehasis

    2011-06-01

    Text mining, sometimes alternately referred to as text analytics, refers to the process of extracting high-quality knowledge from the analysis of textual data. Text mining has wide variety of applications in areas such as biomedical science, news analysis, and homeland security. In this paper, we describe an approach and some relatively small-scale experiments which apply text mining to neuroscience research literature to find novel associations among a diverse set of entities. Neuroscience is a discipline which encompasses an exceptionally wide range of experimental approaches and rapidly growing interest. This combination results in an overwhelmingly large and often diffuse literature which makes a comprehensive synthesis difficult. Understanding the relations or associations among the entities appearing in the literature not only improves the researchers current understanding of recent advances in their field, but also provides an important computational tool to formulate novel hypotheses and thereby assist in scientific discoveries. We describe a methodology to automatically mine the literature and form novel associations through direct analysis of published texts. The method first retrieves a set of documents from databases such as PubMed using a set of relevant domain terms. In the current study these terms yielded a set of documents ranging from 160,909 to 367,214 documents. Each document is then represented in a numerical vector form from which an Association Graph is computed which represents relationships between all pairs of domain terms, based on co-occurrence. Association graphs can then be subjected to various graph theoretic algorithms such as transitive closure and cycle (circuit) detection to derive additional information, and can also be visually presented to a human researcher for understanding. In this paper, we present three relatively small-scale problem-specific case studies to demonstrate that such an approach is very successful in

  5. Binding agent for molding ceramic items

    NASA Technical Reports Server (NTRS)

    Beshentsev, B. D.; Vityuk, N. P.; Volkov, A. V.; Yevdokimov, A. I.; Novikov, M. N.; Piskunov, Y. G.; Pobortsev, E. P.; Sadovnichaya, L. M.

    1983-01-01

    The invention refers to the fabrication of ceramic items by the molding method. It can be used to produce items of complicated configuration, in particular composition of binding agent for electroceramic items.

  6. Introduction to data mining for medical informatics.

    PubMed

    Brown, Donald E

    2008-03-01

    Data mining consists of a series of techniques for the discovery of patterns in large databases. This article provides an introduction to common data mining techniques with a view toward their use. The article begins by describing methods for discovering and exploring associations in observations and variables. The discussion then turns to methods for prediction. These techniques discover relationships between sets of variables. The article concludes with a description of evaluative techniques that are useful for assessing the results from data mining.

  7. Radioecological impacts of tin mining.

    PubMed

    Aliyu, Abubakar Sadiq; Mousseau, Timothy Alexander; Ramli, Ahmad Termizi; Bununu, Yakubu Aliyu

    2015-12-01

    The tin mining activities in the suburbs of Jos, Plateau State, Nigeria, have resulted in technical enhancement of the natural background radiation as well as higher activity concentrations of primordial radionuclides in the topsoil of mining sites and their environs. Several studies have considered the radiological human health risks of the mining activity; however, to our knowledge no documented study has investigated the radiological impacts on biota. Hence, an attempt is made to assess potential hazards using published data from the literature and the ERICA Tool. This paper considers the effects of mining and milling on terrestrial organisms like shrubs, large mammals, small burrowing mammals, birds (duck), arthropods (earth worm), grasses, and herbs. The dose rates and risk quotients to these organisms are computed using conservative values for activity concentrations of natural radionuclides reported in Bitsichi and Bukuru mining areas. The results suggest that grasses, herbs, lichens, bryophytes and shrubs receive total dose rates that are of potential concern. The effects of dose rates to specific indicator species of interest are highlighted and discussed. We conclude that further investigation and proper regulations should be set in place in order to reduce the risk posed by the tin mining activity on biota. This paper also presents a brief overview of the impact of mineral mining on biota based on documented literature for other countries.

  8. [Introduction to medical data mining].

    PubMed

    Zhu, Lingyun; Wu, Baoming; Cao, Changxiu

    2003-09-01

    Modern medicine generates a great deal of information stored in the medical database. Extracting useful knowledge and providing scientific decision-making for the diagnosis and treatment of disease from the database increasingly becomes necessary. Data mining in medicine can deal with this problem. It can also improve the management level of hospital information and promote the development of telemedicine and community medicine. Because the medical information is characteristic of redundancy, multi-attribution, incompletion and closely related with time, medical data mining differs from other one. In this paper we have discussed the key techniques of medical data mining involving pretreatment of medical data, fusion of different pattern and resource, fast and robust mining algorithms and reliability of mining results. The methods and applications of medical data mining based on computation intelligence such as artificial neural network, fuzzy system, evolutionary algorithms, rough set, and support vector machine have been introduced. The features and problems in data mining are summarized in the last section.

  9. Thermal response based item identification.

    SciTech Connect

    Smith, M. K.; Hypes, P. A.; Bracken, D. S.

    2001-01-01

    One of the most difficult problems in NDA of nuclear materials is identifying the chemical form of the nuclear material and the surrounding matrix. Recent work analyzing the calorimeter response of sources embedded in a variety of matrices has led to a possible solution to this problem. The wide range of thermal time constants exhibited by typical matrix materials lends itself to permitting the differentiation between materials, based on time constants extracted from the measured response. Potential applications include simple item identification, item fingerprinting as part of shipper-receiver measurements, and distinguishing between Pu metal and Pu oxide as required under certain proposed attribute measurements. The results of applying this technique to a variety of items will be presented and discussed.

  10. Planning the Mine and Mining the Plan

    NASA Astrophysics Data System (ADS)

    Boucher, D. S.; Chen, N.

    2016-11-01

    Overview of best practices used in the terrestrial mining industry when developing a mine site towards production. The intent is to guide planners towards an effective and well constructed roadmap for the development of ISRU mining activities. A strawman scenario is presented as an illustration for lunar mining of water ice.

  11. Effects of Education on Differential Item Functioning on the 15-Item Modified Korean Version of the Boston Naming Test

    PubMed Central

    Kim, Byung-Soo; Lee, Dong-Woo; Bae, Jae-Nam; Kim, Ji-Hyun; Kim, Shinkyum; Kim, Ki Woong; Park, Jee-Eun; Cho, Maeng Je

    2017-01-01

    Objective Education is expected to have an effect on differential item functioning (DIF) on the 15-item Modified Boston Naming Test in the Korean version of the Consortium to Establish a Registry for Alzheimer's Disease Assessment Packet (BNT-KC). However, no study has examined DIF in the BNT-KC. Methods We used the item response theory to investigate the impact of education on the DIF in the BNT-KC among elderly individuals with or without dementia (n=720). A two-parameter item response model was used to determine the difficulty and discrimination parameters of each item. The Benjamini-Hochberg procedure was used to address the risk of Type I errors on multiple testing. Results Four items, “mermaid,” “acorn,” “compass,” and “pomegranate” continued to demonstrate DIF after controlling for multiple comparisons. Those with low education levels were more likely to error on “mermaid” and “compass,” while those with high education levels were more likely to error on “acorn” and “pomegranate.” “Hand” and “red pepper” were too easily identified to be used for detecting dementia patients. “Monk's hat” and “pomegranate” were less discriminating than other items, limiting their usefulness in clinical setting. Conclusion These findings may provide useful information for the development of a revised version of the BNT-KC to help clinicians make diagnostic decisions more accurately. PMID:28326109

  12. Australian Item Bank Program: Science Item Bank. Book 3: Biology.

    ERIC Educational Resources Information Center

    Australian Council for Educational Research, Hawthorn.

    The Australian Science Item Bank consists of three volumes of multiple-choice questions. Book 3 contains questions on the biological sciences. The questions are designed to be suitable for high school students (year 8 to year 12 in Australian schools). The questions are classified by the subject content of the question, the cognitive skills…

  13. Evaluating the Magnitude of Differential Item Functioning in Polytomous Items.

    ERIC Educational Resources Information Center

    Zwick, Rebecca; Thayer, Dorothy T.

    1996-01-01

    Two possible standard error formulas for the polytomous differential item functioning index proposed by N. J. Dorans and A. P. Schmitt (1991) were derived. These standard errors, and associated hypothesis-testing procedures, were evaluated through simulated data. The standard error that performed better is based on N. Mantel's (1963)…

  14. Data Mining and Analysis

    NASA Technical Reports Server (NTRS)

    Samms, Kevin O.

    2015-01-01

    The Data Mining project seeks to bring the capability of data visualization to NASA anomaly and problem reporting systems for the purpose of improving data trending, evaluations, and analyses. Currently NASA systems are tailored to meet the specific needs of its organizations. This tailoring has led to a variety of nomenclatures and levels of annotation for procedures, parts, and anomalies making difficult the realization of the common causes for anomalies. Making significant observations and realizing the connection between these causes without a common way to view large data sets is difficult to impossible. In the first phase of the Data Mining project a portal was created to present a common visualization of normalized sensitive data to customers with the appropriate security access. The tool of the visualization itself was also developed and fine-tuned. In the second phase of the project we took on the difficult task of searching and analyzing the target data set for common causes between anomalies. In the final part of the second phase we have learned more about how much of the analysis work will be the job of the Data Mining team, how to perform that work, and how that work may be used by different customers in different ways. In this paper I detail how our perspective has changed after gaining more insight into how the customers wish to interact with the output and how that has changed the product.

  15. Psychometric Consequences of Subpopulation Item Parameter Drift

    ERIC Educational Resources Information Center

    Huggins-Manley, Anne Corinne

    2017-01-01

    This study defines subpopulation item parameter drift (SIPD) as a change in item parameters over time that is dependent on subpopulations of examinees, and hypothesizes that the presence of SIPD in anchor items is associated with bias and/or lack of invariance in three psychometric outcomes. Results show that SIPD in anchor items is associated…

  16. A Monte Carlo Study Investigating the Influence of Item Discrimination, Category Intersection Parameters, and Differential Item Functioning Patterns on the Detection of Differential Item Functioning in Polytomous Items

    ERIC Educational Resources Information Center

    Thurman, Carol

    2009-01-01

    The increased use of polytomous item formats has led assessment developers to pay greater attention to the detection of differential item functioning (DIF) in these items. DIF occurs when an item performs differently for two contrasting groups of respondents (e.g., males versus females) after controlling for differences in the abilities of the…

  17. Adaptable Learning Assistant for Item Bank Management

    ERIC Educational Resources Information Center

    Nuntiyagul, Atorn; Naruedomkul, Kanlaya; Cercone, Nick; Wongsawang, Damras

    2008-01-01

    We present PKIP, an adaptable learning assistant tool for managing question items in item banks. PKIP is not only able to automatically assist educational users to categorize the question items into predefined categories by their contents but also to correctly retrieve the items by specifying the category and/or the difficulty level. PKIP adapts…

  18. Mining in chemometrics.

    PubMed

    Mutihac, Lucia; Mutihac, Radu

    2008-03-31

    Some of the increasingly spread data mining methods in chemometrics like exploratory data analysis, artificial neural networks, pattern recognition, and digital image processing with their highs and lows along with some of their representative applications are discussed. The development of more complex analytical instruments and the need to cope with larger experimental data sets have demanded for new approaches in data analysis, which have led to advanced methods in experimental design and data processing. Hypothesis-driven methods typified by inferential statistics have been gradually complemented or even replaced by data-driven model-free methods that seek for structure in data without reference to the experimental protocol or prior hypotheses. The emphasis is put on the ability of data mining methods to solve multivariate-multiresponse problems on the basis of experimental data and minimal statistical assumptions only, in contrast to classical methods, which require predefined priors to be tested against some null-hypothesis.

  19. Simple imputation methods versus direct likelihood analysis for missing item scores in multilevel educational data.

    PubMed

    Kadengye, Damazo T; Cools, Wilfried; Ceulemans, Eva; Van den Noortgate, Wim

    2012-06-01

    Missing data, such as item responses in multilevel data, are ubiquitous in educational research settings. Researchers in the item response theory (IRT) context have shown that ignoring such missing data can create problems in the estimation of the IRT model parameters. Consequently, several imputation methods for dealing with missing item data have been proposed and shown to be effective when applied with traditional IRT models. Additionally, a nonimputation direct likelihood analysis has been shown to be an effective tool for handling missing observations in clustered data settings. This study investigates the performance of six simple imputation methods, which have been found to be useful in other IRT contexts, versus a direct likelihood analysis, in multilevel data from educational settings. Multilevel item response data were simulated on the basis of two empirical data sets, and some of the item scores were deleted, such that they were missing either completely at random or simply at random. An explanatory IRT model was used for modeling the complete, incomplete, and imputed data sets. We showed that direct likelihood analysis of the incomplete data sets produced unbiased parameter estimates that were comparable to those from a complete data analysis. Multiple-imputation approaches of the two-way mean and corrected item mean substitution methods displayed varying degrees of effectiveness in imputing data that in turn could produce unbiased parameter estimates. The simple random imputation, adjusted random imputation, item means substitution, and regression imputation methods seemed to be less effective in imputing missing item scores in multilevel data settings.

  20. Paradoxical Results and Item Bundles

    ERIC Educational Resources Information Center

    Hooker, Giles; Finkelman, Matthew

    2010-01-01

    Hooker, Finkelman, and Schwartzman ("Psychometrika," 2009, in press) defined a paradoxical result as the attainment of a higher test score by changing answers from correct to incorrect and demonstrated that such results are unavoidable for maximum likelihood estimates in multidimensional item response theory. The potential for these results to…

  1. Toward improved branch prediction through data mining.

    SciTech Connect

    Hemmert, K. Scott; Johnson, D. Eric

    2009-09-01

    Data mining and machine learning techniques can be applied to computer system design to aid in optimizing design decisions, improving system runtime performance. Data mining techniques have been investigated in the context of branch prediction. Specifically, a comparison of traditional branch predictor performance has been made to data mining algorithms. Additionally, the possiblity of whether additional features available within the architectural state might serve to further improve branch prediction has been evaluated. Results show that data mining techniques indicate potential for improved branch prediction, especially when register file contents are included as a feature set.

  2. Kernel-Smoothing Estimation of Item Characteristic Functions for Continuous Personality Items: An Empirical Comparison with the Linear and the Continuous-Response Models

    ERIC Educational Resources Information Center

    Ferrando, Pere J.

    2004-01-01

    This study used kernel-smoothing procedures to estimate the item characteristic functions (ICFs) of a set of continuous personality items. The nonparametric ICFs were compared with the ICFs estimated (a) by the linear model and (b) by Samejima's continuous-response model. The study was based on a conditioned approach and used an error-in-variables…

  3. The Mechanization of Mining.

    ERIC Educational Resources Information Center

    Marovelli, Robert L.; Karhnak, John M.

    1982-01-01

    Mechanization of mining is explained in terms of its effect on the mining of coal, focusing on, among others, types of mining, productivity, machinery, benefits to retired miners, fatality rate in underground coal mines, and output of U.S. mining industry. (Author/JN)

  4. Addressing Naturally Occurring Asbestos in the Mining Industry

    NASA Astrophysics Data System (ADS)

    Bieber, D. W.

    2012-12-01

    Mining companies deal with naturally occurring asbestos (NOA) issues on their sites in two ways, avoidance and management. Avoidance simply means that to the extent practical, new mines are located in areas where NOA is unlikely to occur. Where mines are located in areas where NOA may be present, mines implement management procedures to identify and control potential sources of NOA. Management practices may include procedures set forth in regulations such as California's Air Toxicity Control Measure that deals with surface mining, voluntary procedures, or a combination of both. The mining industry generally recognizes that addressing NOA issues is a cost of doing business.;

  5. A New Item Selection Procedure for Mixed Item Type in Computerized Classification Testing.

    ERIC Educational Resources Information Center

    Lau, C. Allen; Wang, Tianyou

    This paper proposes a new Information-Time index as the basis for item selection in computerized classification testing (CCT) and investigates how this new item selection algorithm can help improve test efficiency for item pools with mixed item types. It also investigates how practical constraints such as item exposure rate control, test…

  6. Numerosity estimates for attended and unattended items in visual search.

    PubMed

    Kelley, Troy D; Cassenti, Daniel N; Marusich, Laura R; Ghirardelli, Thomas G

    2017-03-20

    The goal of this research was to examine memories created for the number of items during a visual search task. Participants performed a visual search task for a target defined by a single feature (Experiment 1A), by a conjunction of features (Experiment 1B), or by a specific spatial configuration of features (Experiment 1C). On some trials following the search task, subjects were asked to recall the total number of items in the previous display. In all search types, participants underestimated the total number of items, but the severity of the underestimation varied depending on the efficiency of the search. In three follow-up studies (Experiments 2A, 2B, and 2C) using the same visual stimuli, the participants' only task was to estimate the number of items on each screen. Participants still underestimated the numerosity of the items, although the degree of underestimation was smaller than in the search tasks and did not depend on the type of visual stimuli. In Experiment 3, participants were asked to recall the number of items in a display only once. Subjects still displayed a tendency to underestimate, indicating that the underestimation effects seen in Experiments 1A-1C were not attributable to knowledge of the estimation task. The degree of underestimation depends on the efficiency of the search task, with more severe underestimation in efficient search tasks. This suggests that the lower attentional demands of very efficient searches leads to less encoding of numerosity of the distractor set.

  7. The Consequence of Refreshing for Access to Non-Selected Items in Young and Older Adults

    PubMed Central

    Higgins, Julie A.; Johnson, Marcia K.

    2009-01-01

    We examined the effect of competition on briefly thinking of just-seen items. In Experiment 1, participants saw a set of three related or unrelated words, and then read one of the words again (repeat) or thought briefly of one of the words (refresh). Participants read the set a second time, after which they refreshed a second word from the set or read a new word. Compared to reading a new word, response times were slower to refresh the second item having just refreshed vs. just repeated the first item. This increase was larger for related vs. unrelated words and for older vs. younger adults. In Experiment 2, a negative impact of refreshing was observed when repeating a different word from the set. The pattern of findings suggest that the negative impact of refreshing comes from increased competition from the refreshed item rather than inhibition of the non-refreshed items. PMID:19223566

  8. Bloom filter based frequent patterns mining over data streams

    NASA Astrophysics Data System (ADS)

    Tan, JunShan; Kuang, Zhufang; Yang, Guogui

    2013-03-01

    A data streams synopses structure FPCBF, which is based on bloom filter, is proposed in this paper. Each unit of vector BF[e] in FPCBF is a two-tuples. The transactions insert operation (InsertTran) and 1-frequent patterns pregeneration operation (PreGenFP) is defined. Then, A data streams frequent patterns mining algorithm BFFPM which is based on FPCBF is proposed in this paper. The BFFPM algorithm contains two parts: 1-frequent patterns generation and r-frequent patterns generation. The problem of computing the 1-frequent patterns generation is transformed into the problem of computing the longest common sub-sequence α i LCS of k setting identifier sequence in BF[e] in FPCBF. In the same way, the problem of computing the r-frequent patterns generation is transformed into the problem of computing the longest common sub-sequence LCS r , which is the longest common sequence of the identifier sequence α i LCS ,…, i r LCS α + of r items. The IBM synthesizes data generation which output customers shopping a data are adopted as experiment data. The FPCBF algorithm not only has high precision for mining frequent patterns, but also has low memory requirement

  9. Northern Trust Mines

    EPA Pesticide Factsheets

    The United States and the Navajo Nation entered into settlement agreements that provide funds to conduct investigations and any needed cleanup at 16 of the 46 priority mines, including six mines in the Northern Abandoned Uranium Mine Region.

  10. Exploration and Mining Roadmap

    SciTech Connect

    none,

    2002-09-01

    This Exploration and Mining Technology Roadmap represents the third roadmap for the Mining Industry of the Future. It is based upon the results of the Exploration and Mining Roadmap Workshop held May 10 ñ 11, 2001.

  11. Applications of Item Response Theory to Partial Credit Scoring.

    ERIC Educational Resources Information Center

    Wise, Steven L., Ed.; And Others

    1988-01-01

    Six papers on the use of partial credit item response theory score models in applied measurement settings are presented. These applications include the scoring of medical certification examinations using computer-based patient simulations, narrative writing tests, and educational diagnosis. (TJH)

  12. Design Patterns for Digital Item Types in Higher Education

    ERIC Educational Resources Information Center

    Draaijer, S.; Hartog, R. J. M.

    2007-01-01

    A set of design patterns for digital item types has been developed in response to challenges identified in various projects by teachers in higher education. The goal of the projects in question was to design and develop formative and summative tests, and to develop interactive learning material in the form of quizzes. The subject domains involved…

  13. Building an Evaluation Scale using Item Response Theory

    PubMed Central

    Lalor, John P.; Wu, Hao; Yu, Hong

    2016-01-01

    Evaluation of NLP methods requires testing against a previously vetted gold-standard test set and reporting standard metrics (accuracy/precision/recall/F1). The current assumption is that all items in a given test set are equal with regards to difficulty and discriminating power. We propose Item Response Theory (IRT) from psychometrics as an alternative means for gold-standard test-set generation and NLP system evaluation. IRT is able to describe characteristics of individual items - their difficulty and discriminating power - and can account for these characteristics in its estimation of human intelligence or ability for an NLP task. In this paper, we demonstrate IRT by generating a gold-standard test set for Recognizing Textual Entailment. By collecting a large number of human responses and fitting our IRT model, we show that our IRT model compares NLP systems with the performance in a human population and is able to provide more insight into system performance than standard evaluation metrics. We show that a high accuracy score does not always imply a high IRT score, which depends on the item characteristics and the response pattern.1 PMID:28004039

  14. Scores Based on Dangerous Responses to Multiple-Choice Items.

    ERIC Educational Resources Information Center

    Grosse, Martin E.

    1986-01-01

    Scores based on the number of correct answers were compared with scores based on dangerous responses to items in the same multiple choice test developed by American Board of Orthopaedic Surgery. Results showed construct validity for both sets of scores. However, both scores were redundant when evaluated by correlation coefficient. (Author/JAZ)

  15. Item Response Theory: Overview, Applications, and Promise for Institutional Research

    ERIC Educational Resources Information Center

    Bowman, Nicholas A.; Herzog, Serge; Sharkness, Jessica

    2014-01-01

    Item Response Theory (IRT) is a measurement theory that is ideal for scale and test development in institutional research, but it is not without its drawbacks. This chapter provides an overview of IRT, describes an example of its use, and highlights the pros and cons of using IRT in applied settings.

  16. Mining review

    USGS Publications Warehouse

    McCartan, L.; Morse, D.E.; Plunkert, P.A.; Sibley, S.F.

    2004-01-01

    The average annual growth rate of real gross domestic product (GDP) from the third quarter of 2001 through the second quarter of 2003 in the United States was about 2.6 percent. GDP growth rates in the third and fourth quarters of 2003 were about 8 percent and 4 percent, respectively. The upward trends in many sectors of the U.S. economy in 2003, however, were shared by few of the mineral materials industries. Annual output declined in most nonfuel mining and mineral processing industries, although there was an upward turn toward yearend as prices began to increase.

  17. Surface mining

    SciTech Connect

    Not Available

    1989-06-01

    This paper reports on a GAO study of attorney and expert witness fees awarded as a result of litigation brought under the Surface Mining Control and Reclamation Act. As of March 24, 1989, a total of about $1.4 million had been awarded in attorney fees and expenses - about $1.3 subject to the provisions of the Employee Retirement Income Security Act, a comparison of its features with provisions of ERISA showed that the plan differed from ERISA provisions in areas such as eligibility, funding, and contribution limits.

  18. Detecting Gender Bias Through Test Item Analysis

    NASA Astrophysics Data System (ADS)

    González-Espada, Wilson J.

    2009-03-01

    Many physical science and physics instructors might not be trained in pedagogically appropriate test construction methods. This could lead to test items that do not measure what they are intended to measure. A subgroup of these items might show bias against some groups of students. This paper describes how the author became aware of potentially biased items against females in his examinations, which led to the exploration of fundamental issues related to item validity, gender bias, and differential item functioning, or DIF. A brief discussion of DIF in the context of university courses, as well as practical suggestions to detect possible gender-biased items, follows.

  19. The Disgust Scale: Item Analysis, Factor Structure, and Suggestions for Refinement

    ERIC Educational Resources Information Center

    Olatunji, Bunmi O.; Williams, Nathan L.; Tolin, David F.; Abramowitz, Jonathan S.; Sawchuk, Craig N.; Lohr, Jeffrey M.; Elwood, Lisa S.

    2007-01-01

    In the 4 studies presented (N = 1,939), a converging set of analyses was conducted to evaluate the item adequacy, factor structure, reliability, and validity of the Disgust Scale (DS; J. Haidt, C. McCauley, & P. Rozin, 1994). The results suggest that 7 items (i.e., Items 2, 7, 8, 21, 23, 24, and 25) should be considered for removal from the DS.…

  20. Introduction to the mining of clinical data.

    PubMed

    Harrison, James H

    2008-03-01

    The increasing volume of medical data online, including laboratory data, represents a substantial resource that can provide a foundation for improved understanding of disease presentation, response to therapy, and health care delivery processes. Data mining supports these goals by providing a set of techniques designed to discover similarities and relationships between data elements in large data sets. Currently, medical data have several characteristics that increase the difficulty of applying these techniques, although there have been notable medical data mining successes. Future developments in integrated medical data repositories, standardized data representation, and guidelines for the appropriate research use of medical data will decrease the barriers to mining projects.

  1. Wikipedia Mining

    NASA Astrophysics Data System (ADS)

    Nakayama, Kotaro; Ito, Masahiro; Erdmann, Maike; Shirakawa, Masumi; Michishita, Tomoyuki; Hara, Takahiro; Nishio, Shojiro

    Wikipedia, a collaborative Wiki-based encyclopedia, has become a huge phenomenon among Internet users. It covers a huge number of concepts of various fields such as arts, geography, history, science, sports and games. As a corpus for knowledge extraction, Wikipedia's impressive characteristics are not limited to the scale, but also include the dense link structure, URL based word sense disambiguation, and brief anchor texts. Because of these characteristics, Wikipedia has become a promising corpus and a new frontier for research. In the past few years, a considerable number of researches have been conducted in various areas such as semantic relatedness measurement, bilingual dictionary construction, and ontology construction. Extracting machine understandable knowledge from Wikipedia to enhance the intelligence on computational systems is the main goal of "Wikipedia Mining," a project on CREP (Challenge for Realizing Early Profits) in JSAI. In this paper, we take a comprehensive, panoramic view of Wikipedia Mining research and the current status of our challenge. After that, we will discuss about the future vision of this challenge.

  2. A Bifactor Multidimensional Item Response Theory Model for Differential Item Functioning Analysis on Testlet-Based Items

    ERIC Educational Resources Information Center

    Fukuhara, Hirotaka; Kamata, Akihito

    2011-01-01

    A differential item functioning (DIF) detection method for testlet-based data was proposed and evaluated in this study. The proposed DIF model is an extension of a bifactor multidimensional item response theory (MIRT) model for testlets. Unlike traditional item response theory (IRT) DIF models, the proposed model takes testlet effects into…

  3. 7 CFR 2902.5 - Item designation.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ..., USDA will use life cycle cost information only from tests using the BEES analytical method. (c... availability of such items and the economic and technological feasibility of using such items, including life cycle costs. USDA will gather information on individual products within an item and extrapolate...

  4. Using Multimedia Technology To Create Innovative Items.

    ERIC Educational Resources Information Center

    French, Ann; Godwin, Janet

    The development of innovative test item types that use multimedia technology to improve item authenticity and interaction and allow for objective scoring through partial-credit scoring methodologies was studied. Science test items were developed for community college developmental students using "Authorware 3.0," an instructional compact disc. The…

  5. On the Relationship between Differential Item Functioning and Item Difficulty: An Issue of Methods? Item Response Theory Approach to Differential Item Functioning

    ERIC Educational Resources Information Center

    Santelices, Maria Veronica; Wilson, Mark

    2012-01-01

    The relationship between differential item functioning (DIF) and item difficulty on the SAT is such that more difficult items tended to exhibit DIF in favor of the focal group (usually minority groups). These results were reported by Kulick and Hu, and Freedle and have been enthusiastically discussed by more recent literature. Examining the…

  6. Effects of Assigning Raters to Items

    ERIC Educational Resources Information Center

    Sykes, Robert C.; Ito, Kyoko; Wang, Zhen

    2008-01-01

    Student responses to a large number of constructed response items in three Math and three Reading tests were scored on two occasions using three ways of assigning raters: single reader scoring, a different reader for each response (item-specific), and three readers each scoring a rater item block (RIB) containing approximately one-third of a…

  7. Item Response Methods for Educational Assessment.

    ERIC Educational Resources Information Center

    Mislevy, Robert J.; Rieser, Mark R.

    Multiple matrix sampling (MMS) theory indicates how data may be gathered to most efficiently convey information about levels of attainment in a population, but standard analyses of these data require random sampling of items from a fixed pool of items. This assumption proscribes the retirement of flawed or obsolete items from the pool as well as…

  8. Effects of Including Humor in Test Items.

    ERIC Educational Resources Information Center

    McMorris, Robert F.; And Others

    Two 50-item multiple-choice forms of a grammar test were developed differing only in humor being included in 20 items of one form. One hundred twenty-six (126) eighth graders received the test plus alternate forms of a questionnaire. Humor inclusion did not affect grammar scores on matched humorous/nonhumorous items nor on common post-treatment…

  9. Binomial Test Models and Item Difficulty.

    ERIC Educational Resources Information Center

    van der Linden, Wim J.

    1979-01-01

    The restrictions on item difficulties that must be met when binomial models are applied to domain-referenced testing are examined. Both a deterministic and a stochastic conception of item responses are discussed with respect to difficulty and Guttman-type items. (Author/BH)

  10. Are All Item Response Functions Monotonically Increasing?

    ERIC Educational Resources Information Center

    Wang, Wenhao

    2012-01-01

    Item response functions of the parametric logistic IRT models follow the logistic form which is monotonically increasing. However, item response functions of some real items are nonmonotonic which might lead to examinees with lower proficiency levels receiving higher scores. This study compared three nonparametric IRF estimation methods--the…

  11. Computer Equipment Repair Test Item Bank.

    ERIC Educational Resources Information Center

    Reneau, Fred; And Others

    This guide contains 321 test items for use in teaching a course in repairing computer equipment. All test items were reviewed, revised, and validated by incumbent workers and subject matter instructors. Items are provided for assessing student achievement in the following skill areas (with selected skills mentioned in brackets): performing…

  12. 76 FR 60474 - Commercial Item Handbook

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-09-29

    ... Defense Acquisition Regulations System Commercial Item Handbook AGENCY: Defense Acquisition Regulations... Commercial Item Handbook. The purpose of the Handbook is to help acquisition personnel develop sound business strategies for procuring commercial items. DoD is seeking industry input on the contents before...

  13. A Balance Sheet for Educational Item Banking.

    ERIC Educational Resources Information Center

    Hiscox, Michael D.

    Educational item banking presents observers with a considerable paradox. The development of test items from scratch is viewed as wasteful, a luxury in times of declining resources. On the other hand, item banking has failed to become a mature technology despite large amounts of money and the efforts of talented professionals. The question of which…

  14. Processing Polarity Items: Contrastive Licensing Costs

    ERIC Educational Resources Information Center

    Saddy, Douglas; Drenhaus, Heiner; Frisch, Stefan

    2004-01-01

    We describe an experiment that investigated the failure to license polarity items in German using event-related brain potentials (ERPs). The results reveal distinct processing reflexes associated with failure to license positive polarity items in comparison to failure to license negative polarity items. Failure to license both negative and…

  15. Criterion-Referenced Test Items for Welding.

    ERIC Educational Resources Information Center

    Davis, Diane, Ed.

    This test item bank on welding contains test questions based upon competencies found in the Missouri Welding Competency Profile. Some test items are keyed for multiple competencies. These criterion-referenced test items are designed to work with the Vocational Instructional Management System. Questions have been statistically sampled and validated…

  16. Differential Item Functioning from a Multilevel Perspective.

    ERIC Educational Resources Information Center

    van den Bergh, Huub; And Others

    The term differential item functioning (DIF) refers to whether or not the same psychological constructs are measured across different groups. If an item does not measure the same skills or subskills in different populations, it is said to function differentially or to display item bias. A multilevel approach to DIF is proposed. In such a model,…

  17. Identification of a Semiparametric Item Response Model

    ERIC Educational Resources Information Center

    Peress, Michael

    2012-01-01

    We consider the identification of a semiparametric multidimensional fixed effects item response model. Item response models are typically estimated under parametric assumptions about the shape of the item characteristic curves (ICCs), and existing results suggest difficulties in recovering the distribution of individual characteristics under…

  18. The Multidimensionality of Verbal Analogy Items

    ERIC Educational Resources Information Center

    Ullstadius, Eva; Carlstedt, Berit; Gustafsson, Jan-Eric

    2008-01-01

    The influence of general and verbal ability on each of 72 verbal analogy test items were investigated with new factor analytical techniques. The analogy items together with the Computerized Swedish Enlistment Battery (CAT-SEB) were given randomly to two samples of 18-year-old male conscripts (n = 8566 and n = 5289). Thirty-two of the 72 items had…

  19. Ramsay-Curve Differential Item Functioning

    ERIC Educational Resources Information Center

    Woods, Carol M.

    2011-01-01

    Differential item functioning (DIF) occurs when an item on a test, questionnaire, or interview has different measurement properties for one group of people versus another, irrespective of true group-mean differences on the constructs being measured. This article is focused on item response theory based likelihood ratio testing for DIF (IRT-LR or…

  20. Real and Artificial Differential Item Functioning

    ERIC Educational Resources Information Center

    Andrich, David; Hagquist, Curt

    2012-01-01

    The literature in modern test theory on procedures for identifying items with differential item functioning (DIF) among two groups of persons includes the Mantel-Haenszel (MH) procedure. Generally, it is not recognized explicitly that if there is real DIF in some items which favor one group, then as an artifact of this procedure, artificial DIF…

  1. 15 CFR 742.15 - Encryption items.

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... encryption software are distinguished from controls on other software regulated under the EAR. (a) Licensing... items (“EI”) classified under 5A002.a.1, .a.2, .a.5, .a.6, .a.9, and .b; 5D002.a, .c.1 or .d for... items and terms. Most encryption items may be exported under the provisions of License Exception ENC...

  2. 15 CFR 742.15 - Encryption items.

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... encryption software are distinguished from controls on other software regulated under the EAR. (a) Licensing... items (“EI”) classified under 5A002.a.1, .a.2, .a.5, .a.6, .a.9, and .b; 5D002.a, .c.1 or .d for... items and terms. Most encryption items may be exported under the provisions of License Exception ENC...

  3. 15 CFR 742.15 - Encryption items.

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... encryption software are distinguished from controls on other software regulated under the EAR. (a) Licensing... items (“EI”) classified under 5A002.a.1, .a.2, .a.5, .a.6, .a.9, and .b; 5D002.a, .c.1 or .d for... items and terms. Most encryption items may be exported under the provisions of License Exception ENC...

  4. Generalized Full-Information Item Bifactor Analysis

    ERIC Educational Resources Information Center

    Cai, Li; Yang, Ji Seung; Hansen, Mark

    2011-01-01

    Full-information item bifactor analysis is an important statistical method in psychological and educational measurement. Current methods are limited to single-group analysis and inflexible in the types of item response models supported. We propose a flexible multiple-group item bifactor analysis framework that supports a variety of…

  5. Item Selection in Computerized Classification Testing

    ERIC Educational Resources Information Center

    Thompson, Nathan A.

    2009-01-01

    Several alternatives for item selection algorithms based on item response theory in computerized classification testing (CCT) have been suggested, with no conclusive evidence on the substantial superiority of a single method. It is argued that the lack of sizable effect is because some of the methods actually assess items very similarly through…

  6. Linking Item Parameters to a Base Scale

    ERIC Educational Resources Information Center

    Kang, Taehoon; Petersen, Nancy S.

    2012-01-01

    This paper compares three methods of item calibration--concurrent calibration, separate calibration with linking, and fixed item parameter calibration--that are frequently used for linking item parameters to a base scale. Concurrent and separate calibrations were implemented using BILOG-MG. The Stocking and Lord in "Appl Psychol Measure"…

  7. Mine detection training based on expert skill

    NASA Astrophysics Data System (ADS)

    Staszewski, James J.; Davison, Alan

    2000-08-01

    Studies show that soldiers' mine detection capabilities with the PSS-12 hand-held detector are substandard and that their probabilities of detecting (PD) low-metal mines are dangerously low. Highly experienced PSS-12 operators, however, achieve PDS over 0.90 on high- and low-metal anti- tank (AT) and anti-personnel (AP) mines. Significantly, experts' detection techniques differ from conventional military PSS-12 operating procedures. We report three studies investigating whether instruction based on expert skill could bridge the observed performance gap. Basic research on human expertise has shown that instruction based on detailed scientific analyses of experts' behaviors and thought processes boosts skill acquisition dramatically. These studies tested the effects of an experimental detection training program based on knowledge and techniques learned from analysis of PSS-12 expertise. In Study I soldiers who had completed standard mine detection training participated as operators/trainees. This experiment used a pretest-posttest design. Mine simulants served as targets in testing gand training. Targets simulate d5 different mines and represented high- and low-metal AT and AP mine types. Pretest performance failed to distinguish the treatment and control groups. Both achieved very low PDs on low metal mines. Treatment-group soldiers then received approximately 15 hours of experimental, hands-on training. Posttest results showed that the treatment groups PD on minimal metal targets was more than 6 times that of the control group. Study 2 tested a subset of the treated soldiers in the same setting, now wearing body armor. Results replicated those of Study 1. Study 3 tested treatment group soldiers on real mine targets. Several mines from each mine type were used. The surface of the test lanes was expected to increase detection difficulty. Soldiers nonetheless achieved an aggregate PD of 0.97 and showed significant improvement in detecting low-metal mines.

  8. Design risk assessment for burst-prone mines: Application in a Canadian mine

    NASA Astrophysics Data System (ADS)

    Cheung, David J.

    reduce both exposure risk (personnel and equipment), and economical risk (revenue and costs). Fatal and catastrophic consequences can be averted through robust planning and design. Two customized approaches were developed to conduct risk assessment of case studies at Craig Mine. Firstly, the Brownfield Approach utilizes the seismic database to determine the seismic hazard from a rating system that evaluates frequency-magnitude, event size, and event-blast relation. Secondly, the Greenfield Approach utilizes the seismic database, focusing on larger magnitude events, rocktype, and geological structure. The customized Greenfield Approach can also be applied in the evaluation of design risk in deep mines with the same setting and condition as Craig Mine. Other mines with different settings and conditions can apply the principles in the methodology to evaluate design alternatives and risk reduction strategies for burst-prone mines.

  9. A Method of Estimating Item Characteristic Functions Using the Maximum Likelihood Estimate of Ability

    ERIC Educational Resources Information Center

    Samejima, Fumiko

    1977-01-01

    A method of estimating item characteristic functions is proposed, in which a set of test items, whose operating characteristics are known and which give a constant test information function for a wide range of ability, are used. The method is based on maximum likelihood estimation procedures. (Author/JKS)

  10. Results of Item Parameter Estimation Using LOGIST 5 on Simulated Data.

    ERIC Educational Resources Information Center

    Samejima, Fumiko

    In order to evaluate our methods and approaches of estimating the operating characteristics of discrete item responses, it is necessary to try other comparable methods on similar sets of data. LOGIST 5 was taken up for this reason, and was tried upon the hypothetical test items, which follow the normal ogive model and were used frequently in…

  11. Predicting Item Difficulty in a Reading Comprehension Test with an Artificial Neural Network.

    ERIC Educational Resources Information Center

    Perkins, Kyle; And Others

    This paper reports the results of using a three-layer backpropagation artificial neural network to predict item difficulty in a reading comprehension test. Two network structures were developed, one with and one without a sigmoid function in the output processing unit. The data set, which consisted of a table of coded test items and corresponding…

  12. A Two-Decision Model for Responses to Likert-Type Items

    ERIC Educational Resources Information Center

    Thissen-Roe, Anne; Thissen, David

    2013-01-01

    Extreme response set, the tendency to prefer the lowest or highest response option when confronted with a Likert-type response scale, can lead to misfit of item response models such as the generalized partial credit model. Recently, a series of intrinsically multidimensional item response models have been hypothesized, wherein tendency toward…

  13. A Review of Methods for Detection of Test and Item Bias.

    ERIC Educational Resources Information Center

    Breunig, Nancy A.

    Few issues have provoked as much controversy as the methods for detecting item and test bias. A recent illustration of the controversy surrounding this issue could be seen in the emotional reactions to the publication of "The Bell Curve." This paper reviews methods of evaluating both item and test bias. Small heuristic data sets are…

  14. A Primer on the 2- and 3-Parameter Item Response Theory Models.

    ERIC Educational Resources Information Center

    Thornton, Artist

    Item response theory (IRT) is a useful and effective tool for item response measurement if used in the proper context. This paper discusses the sets of assumptions under which responses can be modeled while exploring the framework of the IRT models relative to response testing. The one parameter model, or one parameter logistic model, is perhaps…

  15. Studying Differential Item Functioning via Latent Variable Modeling: A Note on a Multiple-Testing Procedure

    ERIC Educational Resources Information Center

    Raykov, Tenko; Marcoulides, George A.; Lee, Chun-Lung; Chang, Chi

    2013-01-01

    This note is concerned with a latent variable modeling approach for the study of differential item functioning in a multigroup setting. A multiple-testing procedure that can be used to evaluate group differences in response probabilities on individual items is discussed. The method is readily employed when the aim is also to locate possible…

  16. Diverse Food Items Are Similarly Categorized by 8- to 13-year-old Children

    Technology Transfer Automated Retrieval System (TEKTRAN)

    The study objective was to assess how 8- to 13-year-old children categorized and labeled food items, for possible use as part of a food search strategy in a computerized 24-hour dietary recall. A set of 62 cards with pictures and names of food items from 18 professionally defined food groups was sor...

  17. 75 FR 53639 - Best Practices for Transit, Transshipment, and Reexport of Items Subject to the Export...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-09-01

    ... [Docket No. 100812348-0366-01] Best Practices for Transit, Transshipment, and Reexport of Items Subject to... public comments on a set of proposed ``Best Practices for Transit, Transshipment, and Reexport of Items... dialogue with industry regarding new transshipment principles and best practices that complement...

  18. A Comparison of Item-Level and Scale-Level Multiple Imputation for Questionnaire Batteries

    ERIC Educational Resources Information Center

    Gottschall, Amanda C.; West, Stephen G.; Enders, Craig K.

    2012-01-01

    Behavioral science researchers routinely use scale scores that sum or average a set of questionnaire items to address their substantive questions. A researcher applying multiple imputation to incomplete questionnaire data can either impute the incomplete items prior to computing scale scores or impute the scale scores directly from other scale…

  19. An Explanatory Item Response Theory Approach for a Computer-Based Case Simulation Test

    ERIC Educational Resources Information Center

    Kahraman, Nilüfer

    2014-01-01

    Problem: Practitioners working with multiple-choice tests have long utilized Item Response Theory (IRT) models to evaluate the performance of test items for quality assurance. The use of similar applications for performance tests, however, is often encumbered due to the challenges encountered in working with complicated data sets in which local…

  20. Considering the Use of General and Modified Assessment Items in Computerized Adaptive Testing

    ERIC Educational Resources Information Center

    Wyse, Adam E.; Albano, Anthony D.

    2015-01-01

    This article used several data sets from a large-scale state testing program to examine the feasibility of combining general and modified assessment items in computerized adaptive testing (CAT) for different groups of students. Results suggested that several of the assumptions made when employing this type of mixed-item CAT may not be met for…

  1. Suspect/Counterfeit Items Information Guide for Subcontractors/Suppliers

    SciTech Connect

    Tessmar, Nancy D.; Salazar, Michael J.

    2012-09-18

    Counterfeiting of industrial and commercial grade items is an international problem that places worker safety, program objectives, expensive equipment, and security at risk. In order to prevent the introduction of Suspect/Counterfeit Items (S/CI), this information sheet is being made available as a guide to assist in the implementation of S/CI awareness and controls, in conjunction with subcontractor's/supplier's quality assurance programs. When it comes to counterfeit goods, including industrial materials, items, and equipment, no market is immune. Some manufactures have been known to misrepresent their products and intentionally use inferior materials and processes to manufacture substandard items, whose properties can significantly cart from established standards and specifications. These substandard items termed by the Department of Energy (DOE) as S/CI, pose immediate and potential threats to the safety of DOE and contractor workers, the public, and the environment. Failure of certain systems and processes caused by an S/CI could also have national security implications at Los Alamos National Laboratory (LANL). Nuclear Safety Rules (federal Laws), DOE Orders, and other regulations set forth requirements for DOE contractors to implement effective controls to assure that items and services meet specified requirements. This includes techniques to implement and thereby minimizing the potential threat of entry of S/CI to LANL. As a qualified supplier of goods or services to the LANL, your company will be required to establish and maintain effective controls to prevent the introduction of S/CI to LANL. This will require that your company warrant that all items (including their subassemblies, components, and parts) sold to LANL are genuine (i.e. not counterfeit), new, and unused, and conform to the requirements of the LANL purchase orders/contracts unless otherwise approved in writing to the Los Alamos National Security (LANS) contract administrator

  2. Inactive and abandoned noncoal mines

    SciTech Connect

    Not Available

    1991-08-01

    Volume 1 outlines the environmental, health and safety problems at IAMS (Inactive, Abandoned Mine Sites), remediation technologies, remediation costs, the methodology states used in preparing state reports, and state summary tables. It also describes the broad range of policy options for remediation of problems associated with IAMS. Volume 2 gives state reports for inactive and abandoned noncoal mines for the following states: Alaska, Arizona, California, Colorado, Florida, Idaho, Minnesota, Missouri, Montana, Nevada, New Mexico, Oregon, South Carolina, South Dakota, Utah, Washington, Wisconsin and Wyoming. Volume 3 lists the State reports for the inactive and abandoned noncoal mines for the following states: Alabama, Arkansas, Illinois, Indiana, Iowa, Louisiana, Maine, Maryland, Mississippi, New York, North Carolina, Ohio, Oklahoma, Pennsylvania, Texas, and Virginia. A separate abstract is included for each of the 3 volumes of this set.

  3. Underground coal mining section data

    NASA Technical Reports Server (NTRS)

    Gabrill, C. P.; Urie, J. T.

    1981-01-01

    A set of tables which display the allocation of time for ten personnel and eight pieces of underground coal mining equipment to ten function categories is provided. Data from 125 full shift time studies contained in the KETRON database was utilized as the primary source data. The KETRON activity and delay codes were mapped onto JPL equipment, personnel and function categories. Computer processing was then performed to aggregate the shift level data and generate the matrices. Additional, documented time study data were analyzed and used to supplement the KETRON databased. The source data including the number of shifts are described. Specific parameters of the mines from which there data were extracted are presented. The result of the data processing including the required JPL matrices is presented. A brief comparison with a time study analysis of continuous mining systems is presented. The procedures used for processing the source data are described.

  4. Practical methods for dealing with 'not applicable' item responses in the AMC Linear Disability Score project

    PubMed Central

    Holman, Rebecca; Glas, Cees AW; Lindeboom, Robert; Zwinderman, Aeilko H; de Haan, Rob J

    2004-01-01

    Background Whenever questionnaires are used to collect data on constructs, such as functional status or health related quality of life, it is unlikely that all respondents will respond to all items. This paper examines ways of dealing with responses in a 'not applicable' category to items included in the AMC Linear Disability Score (ALDS) project item bank. Methods The data examined in this paper come from the responses of 392 respondents to 32 items and form part of the calibration sample for the ALDS item bank. The data are analysed using the one-parameter logistic item response theory model. The four practical strategies for dealing with this type of response are: cold deck imputation; hot deck imputation; treating the missing responses as if these items had never been offered to those individual patients; and using a model which takes account of the 'tendency to respond to items'. Results The item and respondent population parameter estimates were very similar for the strategies involving hot deck imputation; treating the missing responses as if these items had never been offered to those individual patients; and using a model which takes account of the 'tendency to respond to items'. The estimates obtained using the cold deck imputation method were substantially different. Conclusions The cold deck imputation method was not considered suitable for use in the ALDS item bank. The other three methods described can be usefully implemented in the ALDS item bank, depending on the purpose of the data analysis to be carried out. These three methods may be useful for other data sets examining similar constructs, when item response theory based methods are used. PMID:15200681

  5. Emergency Power For Critical Items

    NASA Astrophysics Data System (ADS)

    Young, William R.

    2009-07-01

    Natural disasters, such as hurricanes, floods, tornados, and tsunami, are becoming a greater problem as climate change impacts our environment. Disasters, whether natural or man made, destroy lives, homes, businesses and the natural environment. Such disasters can happen with little or no warning, leaving hundreds or even thousands of people without medical services, potable water, sanitation, communications and electrical services for up to several weeks. In our modern world, the need for electricity has become a necessity. Modern building codes and new disaster resistant building practices are reducing the damage to homes and businesses. Emergency gasoline and diesel generators are becoming common place for power outages. Generators need fuel, which may not be available after a disaster, but Photovoltaic (solar-electric) systems supply electricity without petroleum fuel as they are powered by the sun. Photovoltaic (PV) systems can provide electrical power for a home or business. PV systems can operate as utility interactive or stand-alone with battery backup. Determining your critical load items and sizing the photovoltaic system for those critical items, guarantees their operation in a disaster.

  6. Computerized Adaptive Testing with Item Clones. Research Report.

    ERIC Educational Resources Information Center

    Glas, Cees A. W.; van der Linden, Wim J.

    To reduce the cost of item writing and to enhance the flexibility of item presentation, items can be generated by item-cloning techniques. An important consequence of cloning is that it may cause variability on the item parameters. Therefore, a multilevel item response model is presented in which it is assumed that the item parameters of a…

  7. Effects of underground mining and mine collapse on the hydrology of selected basins in West Virginia

    USGS Publications Warehouse

    Hobba, William A.

    1993-01-01

    The effects of underground mining and mine collapse on areal hydrology were determined at one site where the mined bed of coal lies above major streams and at two sites where the bed of coal lies below major streams. Subsidence cracks observed at land surface generally run parallel to predominant joint sets in the rocks. The mining and subsidence cracks increase hydraulic conductivity and interconnection of water-bearing rock units, which in turn cause increased infiltration of precipitation and surface water, decreased evapotranspiration, and higher base flows in some small streams. Water levels in observation wells in mined areas fluctuate as much as 100 ft annually. Both gaining and losing streams are found in mined areas. Mine pumpage and drainage can cause diversion of water underground from one basin to another. Areal and single-well aquifer tests indicated that near-surface rocks have higher transmissivity in a mine-subsided basin than in unmined basins. Increased infiltration and circulation through shallow subsurface rocks increase dissolved mineral loads in streams, as do treated and untreated contributions from mine pumpage and drainage. Abandoned and flooded underground mines make good reservoirs because of their increased transmissivity and storage. Subsidence cracks were not detectable by thermal imagery, but springs and seeps were detectable.

  8. Assessing the Item Response Theory with Covariate (IRT-C) Procedure for Ascertaining Differential Item Functioning

    ERIC Educational Resources Information Center

    Tay, Louis; Vermunt, Jeroen K.; Wang, Chun

    2013-01-01

    We evaluate the item response theory with covariates (IRT-C) procedure for assessing differential item functioning (DIF) without preknowledge of anchor items (Tay, Newman, & Vermunt, 2011). This procedure begins with a fully constrained baseline model, and candidate items are tested for uniform and/or nonuniform DIF using the Wald statistic.…

  9. Instructional Topics in Educational Measurement (ITEMS) Module: Using Automated Processes to Generate Test Items

    ERIC Educational Resources Information Center

    Gierl, Mark J.; Lai, Hollis

    2013-01-01

    Changes to the design and development of our educational assessments are resulting in the unprecedented demand for a large and continuous supply of content-specific test items. One way to address this growing demand is with automatic item generation (AIG). AIG is the process of using item models to generate test items with the aid of computer…

  10. When Do Item Response Function and Mantel-Haenszel Definitions of Differential Item Functioning Coincide?

    ERIC Educational Resources Information Center

    Zwick, Rebecca

    1990-01-01

    Use of the Mantel-Haenszel procedure as a test for differential item functioning under the Rasch model of item-response theory is examined. Results of the procedure cannot be generalized to the class of items for which item-response functions are monotonic and local independence holds. (TJH)

  11. An Item Response Theory Model for Incorporating Response Time Data in Binary Personality Items

    ERIC Educational Resources Information Center

    Ferrando, Pere J.; Lorenzo-Seva, Urbano

    2007-01-01

    This article describes a general item response theory model for personality items that allows the information provided by the item response times to be used to estimate the individual trait levels. The submodel describing the item response times is a modification of Thissen's log-linear model and is based on the distance-difficulty hypothesis in…

  12. Advice on Setting up a STEM Club

    ERIC Educational Resources Information Center

    Khan, Faisal

    2013-01-01

    Setting up a STEM club can be the most daunting item that one faces on a department's development plan. Coupled with all the other demands that exist within teaching and learning, teachers can be easily forgiven for pushing this task further and further into the school year until it eventually becomes one of next year's "to-do" items.…

  13. Using Empirical Data to Set Cutoff Scores.

    ERIC Educational Resources Information Center

    Hills, John R.

    Six experimental approaches to the problems of setting cutoff scores and choosing proper test length are briefly mentioned. Most of these methods share the premise that a test is a random sample of items, from a domain associated with a carefully specified objective. Each item is independent and is scored zero or one, with no provision for…

  14. RESTRICTED INTERESTS AND TEACHER PRESENTATION OF ITEMS

    PubMed Central

    Stocco, Corey S; Thompson, Rachel H; Rodriguez, Nicole M

    2011-01-01

    Restricted and repetitive behavior (RRB) is more pervasive, prevalent, frequent, and severe in individuals with autism spectrum disorders (ASDs) than in their typical peers. One subtype of RRB is restricted interests in items or activities, which is evident in the manner in which individuals engage with items (e.g., repetitious wheel spinning), the types of items or activities they select (e.g., preoccupation with a phone book), or the range of items or activities they select (i.e., narrow range of items). We sought to describe the relation between restricted interests and teacher presentation of items. Overall, we observed 5 teachers interacting with 2 pairs of students diagnosed with an ASD. Each pair included 1 student with restricted interests. During these observations, teachers were free to present any items from an array of 4 stimuli selected by experimenters. We recorded student responses to teacher presentation of items and analyzed the data to determine the relation between teacher presentation of items and the consequences for presentation provided by the students. Teacher presentation of items corresponded with differential responses provided by students with ASD, and those with restricted preferences experienced a narrower array of items. PMID:21941381

  15. Restricted interests and teacher presentation of items.

    PubMed

    Stocco, Corey S; Thompson, Rachel H; Rodriguez, Nicole M

    2011-01-01

    Restricted and repetitive behavior (RRB) is more pervasive, prevalent, frequent, and severe in individuals with autism spectrum disorders (ASDs) than in their typical peers. One subtype of RRB is restricted interests in items or activities, which is evident in the manner in which individuals engage with items (e.g., repetitious wheel spinning), the types of items or activities they select (e.g., preoccupation with a phone book), or the range of items or activities they select (i.e., narrow range of items). We sought to describe the relation between restricted interests and teacher presentation of items. Overall, we observed 5 teachers interacting with 2 pairs of students diagnosed with an ASD. Each pair included 1 student with restricted interests. During these observations, teachers were free to present any items from an array of 4 stimuli selected by experimenters. We recorded student responses to teacher presentation of items and analyzed the data to determine the relation between teacher presentation of items and the consequences for presentation provided by the students. Teacher presentation of items corresponded with differential responses provided by students with ASD, and those with restricted preferences experienced a narrower array of items.

  16. Linking Existing Instruments to Develop an Activity of Daily Living Item Bank.

    PubMed

    Li, Chih-Ying; Romero, Sergio; Bonilha, Heather S; Simpson, Kit N; Simpson, Annie N; Hong, Ickpyo; Velozo, Craig A

    2016-11-16

    This study examined dimensionality and item-level psychometric properties of an item bank measuring activities of daily living (ADL) across inpatient rehabilitation facilities and community living centers. Common person equating method was used in the retrospective veterans data set. This study examined dimensionality, model fit, local independence, and monotonicity using factor analyses and fit statistics, principal component analysis (PCA), and differential item functioning (DIF) using Rasch analysis. Following the elimination of invalid data, 371 veterans who completed both the Functional Independence Measure (FIM) and minimum data set (MDS) within 6 days were retained. The FIM-MDS item bank demonstrated good internal consistency (Cronbach's α = .98) and met three rating scale diagnostic criteria and three of the four model fit statistics (comparative fit index/Tucker-Lewis index = 0.98, root mean square error of approximation = 0.14, and standardized root mean residual = 0.07). PCA of Rasch residuals showed the item bank explained 94.2% variance. The item bank covered the range of θ from -1.50 to 1.26 (item), -3.57 to 4.21 (person) with person strata of 6.3. The findings indicated the ADL physical function item bank constructed from FIM and MDS measured a single latent trait with overall acceptable item-level psychometric properties, suggesting that it is an appropriate source for developing efficient test forms such as short forms and computerized adaptive tests.

  17. PTA scale for children aged 4 to 7 years: Selecting developmentally valid and reliable items.

    PubMed

    Lah, Suncica; David, Pamela; Donohue, Hayley; Epps, Adrienne; Tate, Robyn; Brookes, Naomi

    2017-04-07

    The aim of this study was to select developmentally valid and reliable items for inclusion in criterion-referenced (pass > 90%) posttraumatic amnesia (PTA) scale for children aged 4 to 7 years in a prospective cohort study. Fifty-two typically developing children (26 male/26 female) aged 4 to 7 years were administered a set of 10 items (5 orientation, 5 memory) over 3-4 days. The total score obtained on the set of 10 items had poor developmental validity and test-retest reliability. Nevertheless, individual item analysis identified five items (three orientation and two memory items) that were consistently passed by >90% of the children on each day of testing. For these five items the total scores did not differ significantly either between age groups or between days of testing. Test-retest was extremely high (close to 1). The five items had excellent developmental validity and test-retest reliability. This study identified 5 (3 orientation and 2 memory) items that met our selection criterion and form a new PTA scale, the Sydney PTA scale (SYPTAS), for children aged 4 to 7 years.

  18. Defining Value Through Quantity and Quality –Chimpanzees (Pan troglodytes) Undervalue Food Quantities When Items are Broken

    PubMed Central

    Parrish, Audrey E.; Evans, Theodore A.; Beran, Michael J.

    2014-01-01

    Decision-making is largely influenced by the relative value of choice options, and the value of such options can be determined by a combination of different factors (e.g., the quantity, size, or quality of a stimulus). In this study, we examined the competing influences of quantity (i.e., the number of food items in a set) and quality (i.e., the original state of a food item) of choice items on chimpanzees’ food preferences in a two-option natural choice paradigm. In Experiment 1, chimpanzees chose between sets of food items that were either entirely whole or included items that were broken into pieces before being shown to the chimpanzees. Chimpanzees exhibited a consistent bias for whole food items even when such choice options consisted of a smaller overall quantity of food than the sets containing broken items. In Experiment 2, chimpanzees chose between sets of entirely whole food items and sets of initially whole items that were subsequently broken in view of the chimpanzees just before choice time. Chimpanzees continued to exhibit a bias for sets of whole items. In Experiment 3, chimpanzees chose between sets of new food items that were initially discrete but were subsequently transformed into a larger cohesive unit. Here, chimpanzees were biased to choose the discrete sets that retained their original qualitative state rather than towards the cohesive or clumped sets. These results demonstrate that beyond a food set’s quantity (i.e., the value dimension that accounts for maximization in terms of caloric intake), other seemingly non-relevant features (i.e., quality in terms of a sets original state) affect how chimpanzees assign value to their choice options. PMID:25447509

  19. New technologies for item monitoring

    SciTech Connect

    Abbott, J.A.; Waddoups, I.G.

    1993-12-01

    This report responds to the Department of Energy`s request that Sandia National Laboratories compare existing technologies against several advanced technologies as they apply to DOE needs to monitor the movement of material, weapons, or personnel for safety and security programs. The authors describe several material control systems, discuss their technologies, suggest possible applications, discuss assets and limitations, and project costs for each system. The following systems are described: WATCH system (Wireless Alarm Transmission of Container Handling); Tag system (an electrostatic proximity sensor); PANTRAK system (Personnel And Material Tracking); VRIS (Vault Remote Inventory System); VSIS (Vault Safety and Inventory System); AIMS (Authenticated Item Monitoring System); EIVS (Experimental Inventory Verification System); Metrox system (canister monitoring system); TCATS (Target Cueing And Tracking System); LGVSS (Light Grid Vault Surveillance System); CSS (Container Safeguards System); SAMMS (Security Alarm and Material Monitoring System); FOIDS (Fiber Optic Intelligence & Detection System); GRADS (Graded Radiation Detection System); and PINPAL (Physical Inventory Pallet).

  20. Geologic setting and water quality of selected basins in the active coal-mining areas of Ohio, 1989-91, with a summary of water quality for 1985-91

    USGS Publications Warehouse

    Sedam, A.C.; Francy, D.S.

    1993-01-01

    This report presents streamwater- and ground-water-quality data collected to characterize the baseline water quality for 21 drainage basins in the coal-mining region of eastern Ohio. The study area is mostly within the unglaciated part of eastern Ohio along the western edge of the Appalachian Plateaus Physiographic Province. The data collected from 1989-91 and presented in this report represent the third and final phase of a 7-year study to assess baseline water quality in Ohio's coal region during 1985-1991. During 1989-91, 246 samples from 41 streamwater sites were collected periodically from a long-term site network. Ranges and medians of measurements made at the long-term streamwater sites were following: specific conductance, 270 to 5,170 and 792 microsiemens per centimeter at 25 degrees Celsius; pH, 2.7 to 9.1 and 7.8; alkalinity, 1 to 391 and 116 mg/L (milligrams per liter). Ranges and medians of laboratory analyses of the same samples were the following: dissolved sulfate, 13 to 2,100 and 200 mg/L; dissolved aluminum, <10 to 17,000 and 300 ? /L (micrograms per liter); dissolved iron, <10 to 53,000 and 60 ? /L; and dissolved manganese, <10 to 17,000 and 295 ? /L. The ranges for concentrations of total recoverable aluminum, iron, and manganese were similar to the ranges of concentrations found for dissolved constituents. Medians of total recoverable aluminum and iron were about 10 times greater than the medians of dissolved aluminum and iron. During 1989-91, once-only sample collections were done at 45 streamwater sites in nine basins chosen for synoptic sampling. At several sites in the Middle Hocking River basin and Leading Creek basin, water had low pH and high concentrations of dissolved aluminum, iron and manganese. These water-quality characteristics are commonly associated with ace mine drainage. Throughout the entire 7-year study (1985-91), medians for most constituents at the long-term streamwater-sampling sites were fairly consistent, despite the

  1. German mining equipment

    SciTech Connect

    Not Available

    1993-10-01

    The German mining equipment industry developed to supply machines and services to the local mining industry, i.e., coal, lignite, salt, potash, ore mining, industrial minerals, and quarrying. The sophistication and reliability of its technology also won it worldwide export markets -- which is just as well since former major domestic mining sectors such as coal and potash have declined precipitously, and others such as ore mining have all but disappeared. Today, German mining equipment suppliers focus strongly on export sales, and formerly unique German mining technologies such as continuous mining with bucket wheel excavators and conveyors for open pits, or plowing of underground coal longwalls are widely used abroad. The status of the German mining equipment industry is reviewed.

  2. Reversed item bias: an integrative model.

    PubMed

    Weijters, Bert; Baumgartner, Hans; Schillewaert, Niels

    2013-09-01

    In the recent methodological literature, various models have been proposed to account for the phenomenon that reversed items (defined as items for which respondents' scores have to be recoded in order to make the direction of keying consistent across all items) tend to lead to problematic responses. In this article we propose an integrative conceptualization of three important sources of reversed item method bias (acquiescence, careless responding, and confirmation bias) and specify a multisample confirmatory factor analysis model with 2 method factors to empirically test the hypothesized mechanisms, using explicit measures of acquiescence and carelessness and experimentally manipulated versions of a questionnaire that varies 3 item arrangements and the keying direction of the first item measuring the focal construct. We explain the mechanisms, review prior attempts to model reversed item bias, present our new model, and apply it to responses to a 4-item self-esteem scale (N = 306) and the 6-item Revised Life Orientation Test (N = 595). Based on the literature review and the empirical results, we formulate recommendations on how to use reversed items in questionnaires.

  3. 4. OVERALL VIEW OF MINE SITE, SHOWING MINE CAR TRACKS, ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    4. OVERALL VIEW OF MINE SITE, SHOWING MINE CAR TRACKS, SNOWSHEDS AND TIPPLE (LEFT BACKGROUND). VIEW TO EAST. - Park Utah Mining Company: Keetley Mine Complex, 1 mile East of U.S. 40 at Keetley, Heber City, Wasatch County, UT

  4. Applying Item Response Theory methods to design a learning progression-based science assessment

    NASA Astrophysics Data System (ADS)

    Chen, Jing

    Learning progressions are used to describe how students' understanding of a topic progresses over time and to classify the progress of students into steps or levels. This study applies Item Response Theory (IRT) based methods to investigate how to design learning progression-based science assessments. The research questions of this study are: (1) how to use items in different formats to classify students into levels on the learning progression, (2) how to design a test to give good information about students' progress through the learning progression of a particular construct and (3) what characteristics of test items support their use for assessing students' levels. Data used for this study were collected from 1500 elementary and secondary school students during 2009--2010. The written assessment was developed in several formats such as the Constructed Response (CR) items, Ordered Multiple Choice (OMC) and Multiple True or False (MTF) items. The followings are the main findings from this study. The OMC, MTF and CR items might measure different components of the construct. A single construct explained most of the variance in students' performances. However, additional dimensions in terms of item format can explain certain amount of the variance in student performance. So additional dimensions need to be considered when we want to capture the differences in students' performances on different types of items targeting the understanding of the same underlying progression. Items in each item format need to be improved in certain ways to classify students more accurately into the learning progression levels. This study establishes some general steps that can be followed to design other learning progression-based tests as well. For example, first, the boundaries between levels on the IRT scale can be defined by using the means of the item thresholds across a set of good items. Second, items in multiple formats can be selected to achieve the information criterion at all

  5. Exposures from mining and mine tailings

    NASA Astrophysics Data System (ADS)

    Chambers, Douglas B.; Cassaday, Valerie J.; Lowe, Leo M.

    The mining, milling and tailings management of uranium ores results in environmental radiation exposures. This paper describes the sources of radioactive emissions to the environment associated with these activities, reviews the basic approach used to estimate the resultant radiation exposures and presents examples of typical uranium mind and mill facilities. Similar concepts apply to radiation exposures associated with the mining of non-radioactive ores although the magnitudes of the exposures would normally be smaller than those associated with uranium mining.

  6. Development and Standardization of the Diagnostic Adaptive Behavior Scale: Application of Item Response Theory to the Assessment of Adaptive Behavior.

    PubMed

    Tassé, Marc J; Schalock, Robert L; Thissen, David; Balboni, Giulia; Bersani, Henry Hank; Borthwick-Duffy, Sharon A; Spreat, Scott; Widaman, Keith F; Zhang, Dalun; Navas, Patricia

    2016-03-01

    The Diagnostic Adaptive Behavior Scale (DABS) was developed using item response theory (IRT) methods and was constructed to provide the most precise and valid adaptive behavior information at or near the cutoff point of making a decision regarding a diagnosis of intellectual disability. The DABS initial item pool consisted of 260 items. Using IRT modeling and a nationally representative standardization sample, the item set was reduced to 75 items that provide the most precise adaptive behavior information at the cutoff area determining the presence or not of significant adaptive behavior deficits across conceptual, social, and practical skills. The standardization of the DABS is described and discussed.

  7. Mining lease handbook

    SciTech Connect

    Not Available

    1992-01-01

    Mining leases and similar agreements are some of the most common documents encountered by mining attorneys. The mining Lease Handbook contains a collection of mining lease clauses which have been organized and assembled for over 25 years. The clauses in this book have been coordinated and cross-referenced to enable the Handbook user to create a mining lease having a logical structure with consistent terminology throughout. In many cases, alternative clauses are included. The accompanying commentary provides insight into the use of the various clauses while pointing our pitfalls to be avoided. This Handbook is devoted primarily to mining leases, several chapters cover the subjects of options, subleases, and ancillary documents.

  8. Nonrestricted multiple-choice examination items.

    PubMed

    Kolstad, R; Goaz, P; Kolstad, R

    1982-08-01

    Multiple-choice items are frequently used in objective examinations. The format chosen should conform to the nature of the instruction. Knowledge about cumulative information, such as lists of attributes, can be tested efficiently by means of multiple-choice items that include a variable number of correct answers. In contrast to conventional, single-answer questions, nonrestricted multiple-choice items are capable of including more facts and fewer incorrect responses. In addition, the nonrestricted format is not burdened with the repetitious pattern of one correct answer coupled with several incorrect responses, a cue that may promote successful guessing. Item analyses can be performed on examinations that include both conventional and nonrestricted items. The reliability of one examination constructed totally with nonrestricted items was analyzed by means of the Kuder-Richardson Formula No. 20. The value 0.72 proved this examination to be both discriminating and consistent.

  9. [Comment on] “Yucca Eruptus” item missed the mark

    NASA Astrophysics Data System (ADS)

    Boak, Jeremy M.; Janecky, David R.

    The In Brief news item “Yucca eruptus” (Eos, March 14,1995) does a disservice to the readers in summarizing without verification William Broad's reporting on Charles Bowman's theory of potential nuclear criticality at Yucca Mountain. Specifically, the assertion that the review team has been unable to refute the theory that “buried wastes could set off a nuclear explosion” is incorrect.

  10. An incremental high-utility mining algorithm with transaction insertion.

    PubMed

    Lin, Jerry Chun-Wei; Gan, Wensheng; Hong, Tzung-Pei; Zhang, Binbin

    2015-01-01

    Association-rule mining is commonly used to discover useful and meaningful patterns from a very large database. It only considers the occurrence frequencies of items to reveal the relationships among itemsets. Traditional association-rule mining is, however, not suitable in real-world applications since the purchased items from a customer may have various factors, such as profit or quantity. High-utility mining was designed to solve the limitations of association-rule mining by considering both the quantity and profit measures. Most algorithms of high-utility mining are designed to handle the static database. Fewer researches handle the dynamic high-utility mining with transaction insertion, thus requiring the computations of database rescan and combination explosion of pattern-growth mechanism. In this paper, an efficient incremental algorithm with transaction insertion is designed to reduce computations without candidate generation based on the utility-list structures. The enumeration tree and the relationships between 2-itemsets are also adopted in the proposed algorithm to speed up the computations. Several experiments are conducted to show the performance of the proposed algorithm in terms of runtime, memory consumption, and number of generated patterns.

  11. Perception of Food Amounts by Chimpanzees Based on the Number, Size, Contour Length and Visibility of Items

    PubMed Central

    Beran, Michael J.; Evans, Theodore A.; Harris, Emily H.

    2008-01-01

    Nonhuman animals reliably select the largest of two or more sets of discrete items, particularly if those items are food items. However, many studies of these numerousness judgments fail to control for confounds between amount of food e.g., mass or volume) and number of food items. Stimulus dimensions other than number of items also may play a role in how animals perceive sets and make choices. Four chimpanzees (Pan troglodytes) completed a variety of tasks that involved comparisons of food items (graham crackers) that varied in terms of their number, size, and orientation. In Experiment 1, chimpanzees chose between two alternative sets of visible cracker pieces. In Experiment 2, the experimenters presented one set of crackers in a vertical orientation (stacked) and the other in a horizontal orientation. In Experiment 3, the experimenters presented all food items one-at-a-time by dropping them into opaque containers. Chimpanzees succeeded overall in choosing the largest amount of food. They did not rely on number or contour length as cues when making these judgments but instead primarily responded to the total amount of food in the sets. However, some errors reflected choices of the set with the smaller total amount of food but the individually largest single food item. Thus, responses were not optimal because of biases that were not related to the total amount of food in the sets. PMID:19412322

  12. Substructure mining using elaborate chemical representation.

    PubMed

    Kazius, Jeroen; Nijssen, Siegfried; Kok, Joost; Bäck, Thomas; Ijzerman, Adriaan P

    2006-01-01

    Substructure mining algorithms are important drug discovery tools since they can find substructures that affect physicochemical and biological properties. Current methods, however, only consider a part of all chemical information that is present within a data set of compounds. Therefore, the overall aim of our study was to enable more exhaustive data mining by designing methods that detect all substructures of any size, shape, and level of chemical detail. A means of chemical representation was developed that uses atomic hierarchies, thus enabling substructure mining to consider general and/or highly specific features. As a proof-of-concept, the efficient, multipurpose graph mining system Gaston learned substructures of any size and shape from a mutagenicity data set that was represented in this manner. From these substructures, we extracted a set of only six nonredundant, discriminative substructures that represent relevant biochemical knowledge. Our results demonstrate the individual and synergistic importance of elaborate chemical representation and mining for nonlinear substructures. We conclude that the combination of elaborate chemical representation and Gaston provides an excellent method for 2D substructure mining as this recipe systematically explores all substructures in different levels of chemical detail.

  13. 41 CFR 101-30.701-1 - Item reduction study.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... 41 Public Contracts and Property Management 2 2012-07-01 2012-07-01 false Item reduction study....7-Item Reduction Program § 101-30.701-1 Item reduction study. Item reduction study means the study... so identified, a replacement item shall be proposed. The result of item reduction studies...

  14. 41 CFR 101-30.701-1 - Item reduction study.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... 41 Public Contracts and Property Management 2 2014-07-01 2012-07-01 true Item reduction study. 101....7-Item Reduction Program § 101-30.701-1 Item reduction study. Item reduction study means the study... so identified, a replacement item shall be proposed. The result of item reduction studies...

  15. 41 CFR 101-30.701-1 - Item reduction study.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... 41 Public Contracts and Property Management 2 2010-07-01 2010-07-01 true Item reduction study. 101....7-Item Reduction Program § 101-30.701-1 Item reduction study. Item reduction study means the study... so identified, a replacement item shall be proposed. The result of item reduction studies...

  16. 41 CFR 101-30.701-1 - Item reduction study.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... 41 Public Contracts and Property Management 2 2013-07-01 2012-07-01 true Item reduction study. 101....7-Item Reduction Program § 101-30.701-1 Item reduction study. Item reduction study means the study... so identified, a replacement item shall be proposed. The result of item reduction studies...

  17. 41 CFR 101-30.701-1 - Item reduction study.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... 41 Public Contracts and Property Management 2 2011-07-01 2007-07-01 true Item reduction study. 101....7-Item Reduction Program § 101-30.701-1 Item reduction study. Item reduction study means the study... so identified, a replacement item shall be proposed. The result of item reduction studies...

  18. 41 CFR 101-30.701-2 - Item standardization code.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... 41 Public Contracts and Property Management 2 2010-07-01 2010-07-01 true Item standardization code....7-Item Reduction Program § 101-30.701-2 Item standardization code. Item standardization code (ISC) means a code assigned an item in the supply system which identifies the item as authorized...

  19. Software Note: Using BILOG for Fixed-Anchor Item Calibration

    ERIC Educational Resources Information Center

    DeMars, Christine E.; Jurich, Daniel P.

    2012-01-01

    The nonequivalent groups anchor test (NEAT) design is often used to scale item parameters from two different test forms. A subset of items, called the anchor items or common items, are administered as part of both test forms. These items are used to adjust the item calibrations for any differences in the ability distributions of the groups taking…

  20. Detection of Differential Item Functioning Using the Lasso Approach

    ERIC Educational Resources Information Center

    Magis, David; Tuerlinckx, Francis; De Boeck, Paul

    2015-01-01

    This article proposes a novel approach to detect differential item functioning (DIF) among dichotomously scored items. Unlike standard DIF methods that perform an item-by-item analysis, we propose the "LR lasso DIF method": logistic regression (LR) model is formulated for all item responses. The model contains item-specific intercepts,…

  1. Abandoned Mine Lands

    EPA Pesticide Factsheets

    Abandoned Mine Lands are those lands, waters, and surrounding watersheds where extraction, beneficiation, or processing of ores and minerals (excluding coal) has occurred. These lands also include areas where mining or processing activity is inactive.

  2. Setting Time Limits on Tests

    ERIC Educational Resources Information Center

    van der Linden, Wim J.

    2011-01-01

    It is shown how the time limit on a test can be set to control the probability of a test taker running out of time before completing it. The probability is derived from the item parameters in the lognormal model for response times. Examples of curves representing the probability of running out of time on a test with given parameters as a function…

  3. The enviornmental assessment of a contemporary coal mining system

    NASA Technical Reports Server (NTRS)

    Dutzi, E. J.; Sullivan, P. J.; Hutchinson, C. F.; Stevens, C. M.

    1980-01-01

    A contemporary underground coal mine in eastern Kentucky was assessed in order to determine potential off-site and on-site environmental impacts associated with the mining system in the given environmental setting. A 4 section, continuous room and pillor mine plan was developed for an appropriate site in eastern Kentucky. Potential environmental impacts were identified, and mitigation costs determined. The major potential environmental impacts were determined to be: acid water drainage from the mine and refuse site, uneven subsidence of the surface as a result of mining activity, and alteration of ground water aquifers in the subsidence zone. In the specific case examined, the costs of environmental impact mitigation to levels prescribed by regulations would not exceed $1/ton of coal mined, and post mining land values would not be affected.

  4. Proceedings: Fourth Workshop on Mining Scientific Datasets

    SciTech Connect

    Kamath, C

    2001-07-24

    Commercial applications of data mining in areas such as e-commerce, market-basket analysis, text-mining, and web-mining have taken on a central focus in the JCDD community. However, there is a significant amount of innovative data mining work taking place in the context of scientific and engineering applications that is not well represented in the mainstream KDD conferences. For example, scientific data mining techniques are being developed and applied to diverse fields such as remote sensing, physics, chemistry, biology, astronomy, structural mechanics, computational fluid dynamics etc. In these areas, data mining frequently complements and enhances existing analysis methods based on statistics, exploratory data analysis, and domain-specific approaches. On the surface, it may appear that data from one scientific field, say genomics, is very different from another field, such as physics. However, despite their diversity, there is much that is common across the mining of scientific and engineering data. For example, techniques used to identify objects in images are very similar, regardless of whether the images came from a remote sensing application, a physics experiment, an astronomy observation, or a medical study. Further, with data mining being applied to new types of data, such as mesh data from scientific simulations, there is the opportunity to apply and extend data mining to new scientific domains. This one-day workshop brings together data miners analyzing science data and scientists from diverse fields to share their experiences, learn how techniques developed in one field can be applied in another, and better understand some of the newer techniques being developed in the KDD community. This is the fourth workshop on the topic of Mining Scientific Data sets; for information on earlier workshops, see http://www.ahpcrc.org/conferences/. This workshop continues the tradition of addressing challenging problems in a field where the diversity of applications is

  5. Vending Machines: A Narrative Review of Factors Influencing Items Purchased.

    PubMed

    Hua, Sophia V; Ickovics, Jeannette R

    2016-10-01

    Vending machines are a ubiquitous part of our food environments. Unfortunately, items found in vending machines tend to be processed foods and beverages high in salt, sugar, and/or fat. The purpose of this review is to describe intervention and case studies designed to promote healthier vending purchases by consumers and identify which manipulations are most effective. All studies analyzed were intervention or case studies that manipulated vending machines and analyzed sales or revenue data. This literature review is limited to studies conducted in the United States within the past 2 decades (ie, 1994 to 2015), regardless of study population or setting. Ten articles met these criteria based on a search conducted using PubMed. Study manipulations included price changes, increase in healthier items, changes to the advertisements wrapped around vending machines, and promotional signs such as a stoplight system to indicate healthfulness of items and to remind consumers to make healthy choices. Overall, seven studies had manipulations that resulted in statistically significant positive changes in purchasing behavior. Two studies used manipulations that did not influence consumer behavior, and one study was equivocal. Although there was no intervention pattern that ensured changes in purchasing, price reductions were most effective overall. Revenue from vending sales did not change substantially regardless of intervention, which will be important to foster initiation and sustainability of healthier vending. Future research should identify price changes that would balance healthier choices and revenue as well as better marketing to promote purchase of healthier items.

  6. Mountaintop mining update

    SciTech Connect

    Buchsbaum, L.

    2006-07-15

    In a bad year for the US mining industry's safety record and public image, Morehead State University hosted a public meeting titled 'Mountaintop mining, health and safety forum'. This was a balanced event, with representatives from the mining industry as well as activists from the environmental community. A full account is given of the presentations and debate at the forum. 6 photos.

  7. Data Mining for CRM

    NASA Astrophysics Data System (ADS)

    Thearling, Kurt

    Data Mining technology allows marketing organizations to better understand their customers and respond to their needs. This chapter describes how Data Mining can be combined with customer relationship management to help drive improved interactions with customers. An example showing how to use Data Mining to drive customer acquisition activities is presented.

  8. An Item Analysis and Validity Investigation of Bender Visual Motor Gestalt Test Score Items

    ERIC Educational Resources Information Center

    Lambert, Nadine M.

    1971-01-01

    This investigation attempted to demonstrate the utility of standard item analysis procedures for selecting the most reliable and valid items for scoring Bender Visual Motor Gestalt Test test records. (Author)

  9. Astronomical Images and Data Mining in the International Virtual Observatory Context

    NASA Astrophysics Data System (ADS)

    Pasian, F.; Brescia, M.; Longo, G.

    2012-12-01

    In the past ten years, the concept of Virtual Observatory (VObs) has increasingly gained importance in the domain of astrophysics, as a way of seamlessly accessing data in different wavelength domains stored in digital archives. There are many reasons why the VObs is useful for the development of science: to monitor time variability of phenomena, to compare phenomena in different bands, to increase return for investment (by fostering data re-use for scientific, educational and outreach purposes), to perform statistical analysis and mining on large quantities of data. The International Virtual Observatory Alliance (IVOA) has paved the way for the VObs to become a really useful tool for the scientific community, by promoting standards, by defining data interoperability methods, by fostering the needed coordination among data providers. But the VObs is more than just archives and standards: it is also infrastructure, basic software tools, advanced applications, evolution of methods and techniques, cross-fertilization with other communities. Discovering information in wide-field images and mining large archives are key items towards the use of the VObs as a tool for developing science. Data mining, or knowledge discovery in databases, while being the main methodology to extract the scientific information contained in Massive Data Sets (MDS), needs to tackle crucial problems since it has to orchestrate complex challenges posed by transparent access to different computing environments, scalability of algorithms, reusability of resources. To achieve a leap forward for the progress of astrophysics in the data avalanche era, the community needs to implement an infrastructure capable of performing data access, processing and mining in a distributed but integrated context.

  10. 38 CFR 3.1606 - Transportation items.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... Burial Benefits § 3.1606 Transportation items. The transportation costs of those persons who come within... case. In any such instance any excess amount would be an acceptable item to be included in the burial...) is used as a shipping case and also for burial, an allowance of $30 may be made thereon in lieu of...

  11. 38 CFR 3.1606 - Transportation items.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... Burial Benefits § 3.1606 Transportation items. The transportation costs of those persons who come within... case. In any such instance any excess amount would be an acceptable item to be included in the burial...) is used as a shipping case and also for burial, an allowance of $30 may be made thereon in lieu of...

  12. 38 CFR 3.1606 - Transportation items.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... Burial Benefits § 3.1606 Transportation items. The transportation costs of those persons who come within... case. In any such instance any excess amount would be an acceptable item to be included in the burial...) is used as a shipping case and also for burial, an allowance of $30 may be made thereon in lieu of...

  13. 38 CFR 3.1606 - Transportation items.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... Burial Benefits § 3.1606 Transportation items. The transportation costs of those persons who come within... case. In any such instance any excess amount would be an acceptable item to be included in the burial...) is used as a shipping case and also for burial, an allowance of $30 may be made thereon in lieu of...

  14. 38 CFR 3.1606 - Transportation items.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... Burial Benefits § 3.1606 Transportation items. The transportation costs of those persons who come within... case. In any such instance any excess amount would be an acceptable item to be included in the burial...) is used as a shipping case and also for burial, an allowance of $30 may be made thereon in lieu of...

  15. Modeling Rule-Based Item Generation

    ERIC Educational Resources Information Center

    Geerlings, Hanneke; Glas, Cees A. W.; van der Linden, Wim J.

    2011-01-01

    An application of a hierarchical IRT model for items in families generated through the application of different combinations of design rules is discussed. Within the families, the items are assumed to differ only in surface features. The parameters of the model are estimated in a Bayesian framework, using a data-augmented Gibbs sampler. An obvious…

  16. Invariant Ordering of Item-Total Regressions

    ERIC Educational Resources Information Center

    Tijmstra, Jesper; Hessen, David J.; van der Heijden, Peter G. M.; Sijtsma, Klaas

    2011-01-01

    A new observable consequence of the property of invariant item ordering is presented, which holds under Mokken's double monotonicity model for dichotomous data. The observable consequence is an invariant ordering of the item-total regressions. Kendall's measure of concordance "W" and a weighted version of this measure are proposed as measures for…

  17. Geography Library of Test Items. Volume Six.

    ERIC Educational Resources Information Center

    Kouimanos, John, Ed.

    As one in a series of test item collections developed by the Assessment and Evaluation Unit of the Directorate of Studies, items of value from past tests are made available to teachers for the construction of unit tests, term examinations or as a basis for class discussion. Each collection was reviewed for content validity and reliability. The…

  18. Geography Library of Test Items. Volume One.

    ERIC Educational Resources Information Center

    Kouimanos, John, Ed.

    As one in a series of test item collections developed by the Assessment and Evaluation Unit of the Directorate of Studies, items of value from past tests are made available to teachers for the construction of unit tests, term examinations or as a basis for class discussion. Each collection was reviewed for content validity and reliability. The…

  19. Factoring handedness data: I. Item analysis.

    PubMed

    Messinger, H B; Messinger, M I

    1995-12-01

    Recently in this journal Peters and Murphy challenged the validity of factor analyses done on bimodal handedness data, suggesting instead that right- and left-handers be studied separately. But bimodality may be avoidable if attention is paid to Oldfield's questionnaire format and instructions for the subjects. Two characteristics appear crucial: a two-column LEFT-RIGHT format for the body of the instrument and what we call Oldfield's Admonition: not to indicate strong preference for handedness item, such as write, unless "... the preference is so strong that you would never try to use the other hand unless absolutely forced to...". Attaining unimodality of an item distribution would seem to overcome the objections of Peters and Murphy. In a 1984 survey in Boston we used Oldfield's ten-item questionnaire exactly as published. This produced unimodal item distributions. With reflection of the five-point item scale and a logarithmic transformation, we achieved a degree of normalization for the items. Two surveys elsewhere based on Oldfield's 20-item list but with changes in the questionnaire format and the instructions, yielded markedly different item distributions with peaks at each extreme and sometimes in the middle as well.

  20. 47 CFR 65.830 - Deducted items.

    Code of Federal Regulations, 2010 CFR

    2010-10-01

    ... 47 Telecommunication 3 2010-10-01 2010-10-01 false Deducted items. 65.830 Section 65.830 Telecommunication FEDERAL COMMUNICATIONS COMMISSION (CONTINUED) COMMON CARRIER SERVICES (CONTINUED) INTERSTATE RATE OF RETURN PRESCRIPTION PROCEDURES AND METHODOLOGIES Rate Base § 65.830 Deducted items. (a)...

  1. Restricted Interests and Teacher Presentation of Items

    ERIC Educational Resources Information Center

    Stocco, Corey S.; Thompson, Rachel H.; Rodriguez, Nicole M.

    2011-01-01

    Restricted and repetitive behavior (RRB) is more pervasive, prevalent, frequent, and severe in individuals with autism spectrum disorders (ASDs) than in their typical peers. One subtype of RRB is restricted interests in items or activities, which is evident in the manner in which individuals engage with items (e.g., repetitious wheel spinning),…

  2. Geography Library of Test Items. Volume Three.

    ERIC Educational Resources Information Center

    Kouimanos, John, Ed.

    As one in a series of test item collections developed by the Assessment and Evaluation Unit of the Directorate of Studies, items of value from past tests are made available to teachers for the construction of unit tests, term examinations or as a basis for class discussion. Each collection was reviewed for content validity and reliability. The…

  3. Effects of Item Disclosure on TOEFL Performance.

    ERIC Educational Resources Information Center

    Hale, Gordon A.; And Others

    To ascertain how the Test of English as a Foreign Language (TOEFL) would be affected if candidates had access to some of the items before administration of a test containing those items, a number of specially constructed TOEFL forms were made available to 945 foreign students in intensive English language programs. The students were later…

  4. Geography: Library of Test Items. Volume II.

    ERIC Educational Resources Information Center

    Kouimanos, John, Ed.

    As one in a series of test item collections developed by the Assessment and Evaluation Unit of the Directorate of Studies, items of value from past tests are made available to teachers for the construction of unit tests, term examinations or as a basis for class discussion. Each collection was reviewed for content validity and reliability. The…

  5. Similarity of Various Item Discrimination Indices.

    ERIC Educational Resources Information Center

    Oosterhof, Albert C.

    1976-01-01

    The purpose of this study was to investigate the degree to which various selected test item discrimination indices reflect a common factor. The indices used include the point-biserial, biserial, phi and tetrachoric coefficients, Flanagan's approximation of the product-moment correlation, Gulliksen's item reliability index, and Findley's difference…

  6. Item Calibration in Incomplete Testing Designs

    ERIC Educational Resources Information Center

    Eggen, Theo J. H. M.; Verhelst, Norman D.

    2011-01-01

    This study discusses the justifiability of item parameter estimation in incomplete testing designs in item response theory. Marginal maximum likelihood (MML) as well as conditional maximum likelihood (CML) procedures are considered in three commonly used incomplete designs: random incomplete, multistage testing and targeted testing designs.…

  7. Working Memory for Sequences of Temporal Durations Reveals a Volatile Single-Item Store

    PubMed Central

    Manohar, Sanjay G.; Husain, Masud

    2016-01-01

    When a sequence is held in working memory, different items are retained with differing fidelity. Here we ask whether a sequence of brief time intervals that must be remembered show recency effects, similar to those observed in verbal and visuospatial working memory. It has been suggested that prioritizing some items over others can be accounted for by a “focus of attention,” maintaining some items in a privileged state. We therefore also investigated whether such benefits are vulnerable to disruption by attention or expectation. Participants listened to sequences of one to five tones, of varying durations (200 ms to 2 s). Subsequently, the length of one of the tones in the sequence had to be reproduced by holding a key. The discrepancy between the reproduced and actual durations quantified the fidelity of memory for auditory durations. Recall precision decreased with the number of items that had to be remembered, and was better for the first and last items of sequences, in line with set-size and serial position effects seen in other modalities. To test whether attentional filtering demands might impair performance, an irrelevant variation in pitch was introduced in some blocks of trials. In those blocks, memory precision was worse for sequences that consisted of only one item, i.e., the smallest memory set-size. Thus, when irrelevant information was present, the benefit of having only one item in memory is attenuated. Finally we examined whether expectation could interfere with memory. On half the trials, the number of items in the upcoming sequence was cued. When the number of items was known in advance, performance was paradoxically worse when the sequence consisted of only one item. Thus the benefit of having only one item to remember is stronger when it is unexpectedly the only item. Our results suggest that similar mechanisms are used to hold auditory time durations in working memory, as for visual or verbal stimuli. Further, solitary items were remembered

  8. Remediation of acid mine drainage with sulfate reducing bacteria

    SciTech Connect

    Hauri, J.F.; Schaider, L.A.

    2009-02-15

    Sulfate reducing bacteria have been shown to be effective at treating acid mine drainage through sulfide production and subsequent precipitation of metal sulfides. In this laboratory experiment for undergraduate environmental chemistry courses, students design and implement a set of bioreactors to remediate acid mine drainage and explain observed changes in dissolved metal concentrations and pH. Using synthetic acid mine drainage and combinations of inputs, students monitor their bioreactors for decreases in dissolved copper and iron concentrations.

  9. Comparing Methods for Item Analysis: The Impact of Different Item-Selection Statistics on Test Difficulty

    ERIC Educational Resources Information Center

    Jones, Andrew T.

    2011-01-01

    Practitioners often depend on item analysis to select items for exam forms and have a variety of options available to them. These include the point-biserial correlation, the agreement statistic, the B index, and the phi coefficient. Although research has demonstrated that these statistics can be useful for item selection, no research as of yet has…

  10. Ramsay-Curve Item Response Theory for the Three-Parameter Logistic Item Response Model

    ERIC Educational Resources Information Center

    Woods, Carol M.

    2008-01-01

    In Ramsay-curve item response theory (RC-IRT), the latent variable distribution is estimated simultaneously with the item parameters of a unidimensional item response model using marginal maximum likelihood estimation. This study evaluates RC-IRT for the three-parameter logistic (3PL) model with comparisons to the normal model and to the empirical…

  11. Item Purification in Differential Item Functioning Using Generalized Linear Mixed Models

    ERIC Educational Resources Information Center

    Liu, Qian

    2011-01-01

    For this dissertation, four item purification procedures were implemented onto the generalized linear mixed model for differential item functioning (DIF) analysis, and the performance of these item purification procedures was investigated through a series of simulations. Among the four procedures, forward and generalized linear mixed model (GLMM)…

  12. Psychometric Changes on Item Difficulty Due to Item Review by Examinees

    ERIC Educational Resources Information Center

    Papanastasiou, Elena C.

    2015-01-01

    If good measurement depends in part on the estimation of accurate item characteristics, it is essential that test developers become aware of discrepancies that may exist on the item parameters before and after item review. The purpose of this study was to examine the answer changing patterns of students while taking paper-and-pencil multiple…

  13. Designing P-Optimal Item Pools in Computerized Adaptive Tests with Polytomous Items

    ERIC Educational Resources Information Center

    Zhou, Xuechun

    2012-01-01

    Current CAT applications consist of predominantly dichotomous items, and CATs with polytomously scored items are limited. To ascertain the best approach to polytomous CAT, a significant amount of research has been conducted on item selection, ability estimation, and impact of termination rules based on polytomous IRT models. Few studies…

  14. Asymptotic Standard Errors for Item Response Theory True Score Equating of Polytomous Items

    ERIC Educational Resources Information Center

    Cher Wong, Cheow

    2015-01-01

    Building on previous works by Lord and Ogasawara for dichotomous items, this article proposes an approach to derive the asymptotic standard errors of item response theory true score equating involving polytomous items, for equivalent and nonequivalent groups of examinees. This analytical approach could be used in place of empirical methods like…

  15. Improvement in Detection of Differential Item Functioning Using a Mixture Item Response Theory Model

    ERIC Educational Resources Information Center

    Maij-de Meij, Annette M.; Kelderman, Henk; van der Flier, Henk

    2010-01-01

    Usually, methods for detection of differential item functioning (DIF) compare the functioning of items across manifest groups. However, the manifest groups with respect to which the items function differentially may not necessarily coincide with the true source of the bias. It is expected that DIF detection under a model that includes a latent DIF…

  16. Developing and evaluating innovative items for the NCLEX: Part 2, item characteristics and cognitive processing.

    PubMed

    Wendt, Anne; Harmes, J Christine

    2009-01-01

    This article is a continuation of the research on the development and evaluation of innovative item formats for the NCLEX examinations that was published in the March/April 2009 edition of Nurse Educator. The authors discuss the innovative item templates and evaluate the statistical characteristics and level of cognitive processing required to answer the examination items.

  17. Descriptive and Inferential Procedures for Assessing Differential Item Functioning in Polytomous Items.

    ERIC Educational Resources Information Center

    Zwick, Rebecca; Thayer, Dorothy T.; Mazzeo, John

    1997-01-01

    Differential item functioning (DIF) assessment procedures for items with more than two ordered score categories, referred to as polytomous items, were evaluated. Three descriptive statistics (standardized mean difference and two procedures based on the SIBTEST computer program) and five inferential procedures were used. Conditions under which the…

  18. Text mining for the biocuration workflow.

    PubMed

    Hirschman, Lynette; Burns, Gully A P C; Krallinger, Martin; Arighi, Cecilia; Cohen, K Bretonnel; Valencia, Alfonso; Wu, Cathy H; Chatr-Aryamontri, Andrew; Dowell, Karen G; Huala, Eva; Lourenço, Anália; Nash, Robert; Veuthey, Anne-Lise; Wiegers, Thomas; Winter, Andrew G

    2012-01-01

    Molecular biology has become heavily dependent on biological knowledge encoded in expert curated biological databases. As the volume of biological literature increases, biocurators need help in keeping up with the literature; (semi-) automated aids for biocuration would seem to be an ideal application for natural language processing and text mining. However, to date, there have been few documented successes for improving biocuration throughput using text mining. Our initial investigations took place for the workshop on 'Text Mining for the BioCuration Workflow' at the third International Biocuration Conference (Berlin, 2009). We interviewed biocurators to obtain workflows from eight biological databases. This initial study revealed high-level commonalities, including (i) selection of documents for curation; (ii) indexing of documents with biologically relevant entities (e.g. genes); and (iii) detailed curation of specific relations (e.g. interactions); however, the detailed workflows also showed many variabilities. Following the workshop, we conducted a survey of biocurators. The survey identified biocurator priorities, including the handling of full text indexed with biological entities and support for the identification and prioritization of documents for curation. It also indicated that two-thirds of the biocuration teams had experimented with text mining and almost half were using text mining at that time. Analysis of our interviews and survey provide a set of requirements for the integration of text mining into the biocuration workflow. These can guide the identification of common needs across curated databases and encourage joint experimentation involving biocurators, text mining developers and the larger biomedical research community.

  19. 48 CFR 19.502-5 - Insufficient causes for not setting aside an acquisition.

    Code of Federal Regulations, 2011 CFR

    2011-10-01

    ... FEDERAL ACQUISITION REGULATION SOCIOECONOMIC PROGRAMS SMALL BUSINESS PROGRAMS Set-Asides for Small Business 19.502-5 Insufficient causes for not setting aside an acquisition. None of the following is, in... contracts for the required item(s) has been placed with small business concerns. (b) The item is on...

  20. Data mining in radiology.

    PubMed

    Kharat, Amit T; Singh, Amarjit; Kulkarni, Vilas M; Shah, Digish

    2014-04-01

    Data mining facilitates the study of radiology data in various dimensions. It converts large patient image and text datasets into useful information that helps in improving patient care and provides informative reports. Data mining technology analyzes data within the Radiology Information System and Hospital Information System using specialized software which assesses relationships and agreement in available information. By using similar data analysis tools, radiologists can make informed decisions and predict the future outcome of a particular imaging finding. Data, information and knowledge are the components of data mining. Classes, Clusters, Associations, Sequential patterns, Classification, Prediction and Decision tree are the various types of data mining. Data mining has the potential to make delivery of health care affordable and ensure that the best imaging practices are followed. It is a tool for academic research. Data mining is considered to be ethically neutral, however concerns regarding privacy and legality exists which need to be addressed to ensure success of data mining.

  1. Concept learning set-size functions for Clark's nutcrackers.

    PubMed

    Wright, Anthony A; Magnotti, John F; Katz, Jeffrey S; Leonard, Kevin; Kelly, Debbie M

    2016-01-01

    Same/Different abstract-concept learning by Clark's nutcrackers (Nucifraga columbiana) was tested with novel stimuli following learning of training set expansion (8, 16, 32, 64, 128, 256, 512, and 1024 picture items). The resulting set-size function was compared to those from rhesus monkeys (Macaca mulatta), capuchin monkeys (Cebus apella), and pigeons (Columba livia). Nutcrackers showed partial concept learning following initial eight-item set learning, unlike the other species (Magnotti, Katz, Wright, & Kelly, 2015). The mean function for the nutcrackers' novel-stimulus transfer increased linearly as a function of the logarithm of training set size, which intersected its baseline function at the 128-item set size. Thus, nutcrackers on average achieved full concept learning (i.e., transfer statistically equivalent to baseline performance) somewhere between set sizes of 64 to 128 items, similar to full concept learning by monkeys. Pigeons required a somewhat larger training set (256 items) for full concept learning, but results from other experiments (initial training and transfer with 32- and 64-item set sizes) suggested carryover effects with smaller set sizes may have artificially prolonged the pigeon's full concept learning. We find it remarkable that these diverse species with very different neural architectures can fully learn this same/different abstract concept, and (at least under some conditions) do so with roughly similar sets sizes (64-128 items) and numbers of training exemplars, despite initial concept learning advantages (nutcrackers), learning disadvantages (pigeons), or increasing baselines (monkeys).

  2. Identification of developmentally appropriate screening items for disruptive behavior problems in preschoolers.

    PubMed

    Studts, Christina R; van Zyl, Michiel A

    2013-08-01

    Screening preschool-aged children for disruptive behavior disorders is a key step in early intervention. The study goal was to identify screening items with excellent measurement properties at sub-clinical to clinical levels of disruptive behavior problems within the developmental context of preschool-aged children. Parents/caregivers of preschool-aged children (N = 900) were recruited from four pediatric primary care settings. Participants (mean age = 31, SD = 8) were predominantly female (87 %), either white (55 %) or African-American (42 %), and biological parents (88 %) of the target children. In this cross-sectional survey, participants completed a sociodemographic questionnaire and two parent-report behavioral rating scales: the PSC-17 and the BPI. Item response theory analyses provided item parameter estimates and information functions for 18 externalizing subscale items, revealing their quality of measurement along the continuum of disruptive behaviors in preschool-aged children. Of 18 investigated items, 5 items measured only low levels of disruptive behaviors among preschool-aged children. The remaining 13 items measured sub-clinical to clinical levels of disruptive behavior problems (i.e., >1.5 SD); however, 5 of these items offered less information, suggesting unreliable measurement. The remaining 8 items had high discrimination and difficulty parameters, offering considerable measurement information at sub-clinical to clinical levels of disruptive behavior problems. Behaviors measured by the 8 selected parent-report items were consistent with those identified in recent efforts to distinguish developmentally typical misbehaviors from clinically concerning behaviors among preschool-aged children. These items may have clinical utility in screening young children for disruptive behavior disorders.

  3. Geophysical Technologies to Image Old Mine Works

    SciTech Connect

    Kanaan Hanna; Jim Pfeiffer

    2007-01-15

    ZapataEngineering, Blackhawk Division performed geophysical void detection demonstrations for the US Department of Labor Mine Safety and Health Administration (MSHA). The objective was to advance current state-of-practices of geophysical technologies for detecting underground mine voids. The presence of old mine works above, adjacent, or below an active mine presents major health and safety hazards to miners who have inadvertently cut into locations with such features. In addition, the presence of abandoned mines or voids beneath roadways and highway structures may greatly impact the performance of the transportation infrastructure in terms of cost and public safety. Roads constructed over abandoned mines are subject to potential differential settlement, subsidence, sinkholes, and/or catastrophic collapse. Thus, there is a need to utilize geophysical imaging technologies to accurately locate old mine works. Several surface and borehole geophysical imaging methods and mapping techniques were employed at a known abandoned coal mine in eastern Illinois to investigate which method best map the location and extent of old works. These methods included: 1) high-resolution seismic (HRS) using compressional P-wave (HRPW) and S-wave (HRSW) reflection collected with 3-D techniques; 2) crosshole seismic tomography (XHT); 3) guided waves; 4) reverse vertical seismic profiling (RVSP); and 5) borehole sonar mapping. In addition, several exploration borings were drilled to confirm the presence of the imaged mine voids. The results indicated that the RVSP is the most viable method to accurately detect the subsurface voids with horizontal accuracy of two to five feet. This method was then applied at several other locations in Colorado with various topographic, geologic, and cultural settings for the same purpose. This paper presents the significant results obtained from the geophysical investigations in Illinois.

  4. Optimal pricing and marketing planning for deteriorating items

    PubMed Central

    Moosavi Tabatabaei, Seyed Reza; Sadjadi, Seyed Jafar; Makui, Ahmad

    2017-01-01

    Optimal pricing and marketing planning plays an essential role in production decisions on deteriorating items. This paper presents a mathematical model for a three-level supply chain, which includes one producer, one distributor and one retailer. The proposed study considers the production of a deteriorating item where demand is influenced by price, marketing expenditure, quality of product and after-sales service expenditures. The proposed model is formulated as a geometric programming with 5 degrees of difficulty and the problem is solved using the recent advances in optimization techniques. The study is supported by several numerical examples and sensitivity analysis is performed to analyze the effects of the changes in different parameters on the optimal solution. The preliminary results indicate that with the change in parameters influencing on demand, inventory holding, inventory deteriorating and set-up costs change and also significantly affect total revenue. PMID:28306750

  5. The PROMIS Physical Function Item Bank Was Calibrated to a Standardized Metric and Shown to Improve Measurement Efficiency

    PubMed Central

    Rose, Matthias; Bjorner, Jakob B.; Gandek, Barbara; Bruce, Bonnie; Fries, James F.; Ware, John E.

    2015-01-01

    Objective To document the development and psychometric evaluation of the Patient-Reported Outcomes Measurement Information System (PROMIS) Physical Function (PF) item bank and static instruments. Study Design and Setting Items were evaluated using qualitative and quantitative methods. 16,065 adults answered item subsets (n>2,200/item) on the Internet, with over-sampling of the chronically ill. Classical test and item response theory (IRT) methods were used to evaluate 149 PROMIS PF items plus 10 SF-36 and 20 HAQ-DI items. A graded response model was used to estimate item parameters, which were normed to a mean of 50 (SD=10) in a US general population sample. Results The final bank consists of 124 PROMIS items covering upper, central, and lower extremity functions and IADL. In simulations, a 10-item Computerized Adaptive Test (CAT) eliminated floor and decreased ceiling effects, achieving higher measurement precision than any comparable-length static tool across four standard deviations of the measurement range. Improved psychometric properties transferred to the CAT’s superior ability to identify differences between age and disease groups. Conclusion The item bank provides a common metric and can improve the measurement of PF by facilitating the standardization of PRO measures and implementation of CATs for more efficient PF assessments over a larger range. PMID:24698295

  6. [Effect of self-relevance of a non-critical item on physiological responding on the Concealed Information Test].

    PubMed

    Hanayama, Aiko; Yamamoto, Shuichi; Shibuya, Yusuke

    2011-12-01

    The effect of self-relevance of a non-critical item in the Concealed Information Test (CIT) was investigated. Respiration, skin conductance response (SCR), heart rate, and normalized pulse volume were recorded while performing the CIT using a stimulus set composed of 4 items (with one self-relevant item). Thirty participants were instructed to recognize one item as critical and the remaining items as non-critical (positive group), and 33 participants were instructed to recognize all items as non-critical (negative group). In the positive group, a differential reactivity was observed between the critical and non-critical items, despite the self-relevance of the non-critical item. In the negative group, a differential reactivity between the self-relevant and non-self-relevant items was observed for SCR only. However, when individual data were analyzed, there was a differential reactivity between self-relevant and non-self-relevant items on physiological measures other than SCR for some participants in the negative group. These results suggest that the self-relevance of a non-critical item might cause false positive results in "negative" participants, particularly when only SCR is used to assess differential reactivity.

  7. Analyzing and mining image databases.

    PubMed

    Berlage, Thomas

    2005-06-01

    Image mining is the application of computer-based techniques that extract and exploit information from large image sets to support human users in generating knowledge from these sources. This review focuses on biomedical applications, in particular automated imaging at the cellular level. An image database is an interactive software application that combines data management, image analysis and visual data mining. The main characteristic of such a system is a layer that represents objects within an image, and that represents a large spectrum of quantitative and semantic object features. The image analysis needs to be adapted to each particular experiment, so 'end-user programming' will be desirable to make the technology more widely applicable.

  8. Factor structure of the 12-item General Health Questionnaire in the Japanese general adult population.

    PubMed

    Doi, Yuriko; Minowa, Masumi

    2003-08-01

    The 12-item General Health Questionnaire (GHQ-12) has been extensively used in a variety of settings across countries. The main aim of the present study was to assess the factor structure of the GHQ-12 for the Japanese general adult population. Data came from a sample of 1808 Japanese aged 20 years or older who were randomly selected based on the 1995 census (897 men and 911 women). Cronbach's alpha coefficients were 0.83 for men and 0.85 for women. Overall, the corrected item-total correlation coefficients were >0.20 for both genders. The GHQ-12 yielded a two-factor solution of psychological distress (items 2, 5, 6, 9, 10 and 11) and social dysfunction (items 1, 3, 4, 7 and 8), which jointly accounted for 49.1% of the total variance, for women. Item 12 on happiness was not discernable. For men, item 12 was separated from a social dysfunction factor and yielded the third factor with item 3 on social role, and the three factors jointly accounted for 57.6%. The results of the present study suggest that the GHQ-12 can be used as an internally reliable and homogeneous scale that produces mainly the factors of psychological distress and social dysfunction. Item 12 may be structurally different in the case of Japanese adults.

  9. Combined mining: discovering informative knowledge in complex data.

    PubMed

    Cao, Longbing; Zhang, Huaifeng; Zhao, Yanchang; Luo, Dan; Zhang, Chengqi

    2011-06-01

    Enterprise data mining applications often involve complex data such as multiple large heterogeneous data sources, user preferences, and business impact. In such situations, a single method or one-step mining is often limited in discovering informative knowledge. It would also be very time and space consuming, if not impossible, to join relevant large data sources for mining patterns consisting of multiple aspects of information. It is crucial to develop effective approaches for mining patterns combining necessary information from multiple relevant business lines, catering for real business settings and decision-making actions rather than just providing a single line of patterns. The recent years have seen increasing efforts on mining more informative patterns, e.g., integrating frequent pattern mining with classifications to generate frequent pattern-based classifiers. Rather than presenting a specific algorithm, this paper builds on our existing works and proposes combined mining as a general approach to mining for informative patterns combining components from either multiple data sets or multiple features or by multiple methods on demand. We summarize general frameworks, paradigms, and basic processes for multifeature combined mining, multisource combined mining, and multimethod combined mining. Novel types of combined patterns, such as incremental cluster patterns, can result from such frameworks, which cannot be directly produced by the existing methods. A set of real-world case studies has been conducted to test the frameworks, with some of them briefed in this paper. They identify combined patterns for informing government debt prevention and improving government service objectives, which show the flexibility and instantiation capability of combined mining in discovering informative knowledge in complex data.

  10. Remediation of Acid Mine Drainage with Sulfate Reducing Bacteria

    ERIC Educational Resources Information Center

    Hauri, James F.; Schaider, Laurel A.

    2009-01-01

    Sulfate reducing bacteria have been shown to be effective at treating acid mine drainage through sulfide production and subsequent precipitation of metal sulfides. In this laboratory experiment for undergraduate environmental chemistry courses, students design and implement a set of bioreactors to remediate acid mine drainage and explain observed…

  11. ESTIMATE OF GLOBAL METHANE EMISSIONS FROM COAL MINES

    EPA Science Inventory

    Country-specific emissions of methane (CH4) from underground coal mines, surface coal mines, and coal crushing and transport operations are estimated for 1989. Emissions for individual countries are estimated by using two sets of regression equations (R2 values range from 0.56 to...

  12. Exploring the Integration of Data Mining and Data Visualization

    ERIC Educational Resources Information Center

    Zhang, Yi

    2011-01-01

    Due to the rapid advances in computing and sensing technologies, enormous amounts of data are being generated everyday in various applications. The integration of data mining and data visualization has been widely used to analyze these massive and complex data sets to discover hidden patterns. For both data mining and visualization to be…

  13. Redundancy and Novelty Mining in the Business Blogosphere

    ERIC Educational Resources Information Center

    Tsai, Flora S.; Chan, Kap Luk

    2010-01-01

    Purpose: The paper aims to explore the performance of redundancy and novelty mining in the business blogosphere, which has not been studied before. Design/methodology/approach: Novelty mining techniques are implemented to single out novel information out of a massive set of text documents. This paper adopted the mixed metric approach which…

  14. Environmental Factors Item Development for Persons With Stroke, Traumatic Brain Injury, and Spinal Cord Injury

    PubMed Central

    Heinemann, Allen W.; Magasi, Susan; Hammel, Joy; Carlozzi, Noelle E.; Garcia, Sofia F.; Hahn, Elizabeth A.; Lai, Jin-Shei; Tulsky, David; Gray, David B.; Hollingsworth, Holly; Jerousek, Sara

    2015-01-01

    Objectives To describe methods used in operationalizing environmental factors; to describe the results of a research project to develop measures of environmental factors that affect participation; and to define an initial item set of facilitators and barriers to participation after stroke, traumatic brain injury, and spinal cord injury. Design Instrument development included an extensive literature review, item classification and selection, item writing, and cognitive testing following the approach of the Patient-Reported Outcomes Measurement Information System. Setting Community. Participants Content area and outcome measurement experts (n=10) contributed to instrument development; individuals (n=200) with the target conditions participated in focus groups and in cognitive testing (n=15). Interventions None. Main Outcome Measures Environmental factor items were categorized in 6 domains: assistive technology; built and natural environment; social environment; services, systems, and policies; access to information and technology; and economic quality of life. Results We binned 2273 items across the 6 domains, winnowed this pool to 291 items for cognitive testing, and recommended 274 items for pilot data collection. Conclusions Five of the 6 domains correspond closely to the International Classification of Functioning, Disability and Health taxonomy of environmental factors; the sixth domain, economic quality of life, reflects an important construct that reflects financial resources that affect participation. Testing with a new and larger sample is underway to evaluate reliability, validity, and sensitivity. PMID:24378804

  15. Differential item functioning analysis of the Vanderbilt Expertise Test for cars

    PubMed Central

    Lee, Woo-Yeol; Cho, Sun-Joo; McGugin, Rankin W.; Van Gulick, Ana Beth; Gauthier, Isabel

    2015-01-01

    The Vanderbilt Expertise Test for cars (VETcar) is a test of visual learning for contemporary car models. We used item response theory to assess the VETcar and in particular used differential item functioning (DIF) analysis to ask if the test functions the same way in laboratory versus online settings and for different groups based on age and gender. An exploratory factor analysis found evidence of multidimensionality in the VETcar, although a single dimension was deemed sufficient to capture the recognition ability measured by the test. We selected a unidimensional three-parameter logistic item response model to examine item characteristics and subject abilities. The VETcar had satisfactory internal consistency. A substantial number of items showed DIF at a medium effect size for test setting and for age group, whereas gender DIF was negligible. Because online subjects were on average older than those tested in the lab, we focused on the age groups to conduct a multigroup item response theory analysis. This revealed that most items on the test favored the younger group. DIF could be more the rule than the exception when measuring performance with familiar object categories, therefore posing a challenge for the measurement of either domain-general visual abilities or category-specific knowledge. PMID:26418499

  16. Differential item functioning analysis of the Vanderbilt Expertise Test for cars.

    PubMed

    Lee, Woo-Yeol; Cho, Sun-Joo; McGugin, Rankin W; Van Gulick, Ana Beth; Gauthier, Isabel

    2015-01-01

    The Vanderbilt Expertise Test for cars (VETcar) is a test of visual learning for contemporary car models. We used item response theory to assess the VETcar and in particular used differential item functioning (DIF) analysis to ask if the test functions the same way in laboratory versus online settings and for different groups based on age and gender. An exploratory factor analysis found evidence of multidimensionality in the VETcar, although a single dimension was deemed sufficient to capture the recognition ability measured by the test. We selected a unidimensional three-parameter logistic item response model to examine item characteristics and subject abilities. The VETcar had satisfactory internal consistency. A substantial number of items showed DIF at a medium effect size for test setting and for age group, whereas gender DIF was negligible. Because online subjects were on average older than those tested in the lab, we focused on the age groups to conduct a multigroup item response theory analysis. This revealed that most items on the test favored the younger group. DIF could be more the rule than the exception when measuring performance with familiar object categories, therefore posing a challenge for the measurement of either domain-general visual abilities or category-specific knowledge.

  17. Applying negative rule mining to improve genome annotation

    PubMed Central

    Artamonova, Irena I; Frishman, Goar; Frishman, Dmitrij

    2007-01-01

    Background Unsupervised annotation of proteins by software pipelines suffers from very high error rates. Spurious functional assignments are usually caused by unwarranted homology-based transfer of information from existing database entries to the new target sequences. We have previously demonstrated that data mining in large sequence annotation databanks can help identify annotation items that are strongly associated with each other, and that exceptions from strong positive association rules often point to potential annotation errors. Here we investigate the applicability of negative association rule mining to revealing erroneously assigned annotation items. Results Almost all exceptions from strong negative association rules are connected to at least one wrong attribute in the feature combination making up the rule. The fraction of annotation features flagged by this approach as suspicious is strongly enriched in errors and constitutes about 0.6% of the whole body of the similarity-transferred annotation in the PEDANT genome database. Positive rule mining does not identify two thirds of these errors. The approach based on exceptions from negative rules is much more specific than positive rule mining, but its coverage is significantly lower. Conclusion Mining of both negative and positive association rules is a potent tool for finding significant trends in protein annotation and flagging doubtful features for further inspection. PMID:17659089

  18. Investigating Item Exposure Control Methods in Computerized Adaptive Testing

    ERIC Educational Resources Information Center

    Ozturk, Nagihan Boztunc; Dogan, Nuri

    2015-01-01

    This study aims to investigate the effects of item exposure control methods on measurement precision and on test security under various item selection methods and item pool characteristics. In this study, the Randomesque (with item group sizes of 5 and 10), Sympson-Hetter, and Fade-Away methods were used as item exposure control methods. Moreover,…

  19. A Strategy for Optimizing Item-Pool Management

    ERIC Educational Resources Information Center

    Ariel, Adelaide; van der Linden, Wim J.; Veldkamp, Bernard P.

    2006-01-01

    Item-pool management requires a balancing act between the input of new items into the pool and the output of tests assembled from it. A strategy for optimizing item-pool management is presented that is based on the idea of a periodic update of an optimal blueprint for the item pool to tune item production to test assembly. A simulation study with…

  20. An NCME Instructional Module on Polytomous Item Response Theory Models

    ERIC Educational Resources Information Center

    Penfield, Randall David

    2014-01-01

    A polytomous item is one for which the responses are scored according to three or more categories. Given the increasing use of polytomous items in assessment practices, item response theory (IRT) models specialized for polytomous items are becoming increasingly common. The purpose of this ITEMS module is to provide an accessible overview of…

  1. Price Analysis on Commercial Items Purchases Within the Department of Defense

    DTIC Science & Technology

    2014-04-30

    unlimited. Prepared for the Naval Postgraduate School, Monterey, CA 93943. Price Analysis on Commercial Items Purchases Within the Department of Defense...COVERED 00-00-2014 to 00-00-2014 4. TITLE AND SUBTITLE Price Analysis on Commercial Items Purchases Within the Department of Defense 5a. CONTRACT...Defense, Office of the Inspector General (DoDIG 2001???2011) concluded that new pricing skill sets have not always been present in the purchase of

  2. Mining Customer Change Model Based on Swarm Intelligence

    NASA Astrophysics Data System (ADS)

    Jin, Peng; Zhu, Yunlong

    Understanding and adapting to changes of customer behavior is an important aspect of surviving in a continuously changing market environment for a modern company. The concept of customer change model mining is introduced and its process is analyzed in this paper. A customer change model mining method based on swarm intelligence is presented, and the strategies of pheromone updating and items searching are given. Finally, an examination on two customer datasets of a telecom company illuminates that this method can achieve customer change model efficiently.

  3. The 1992 Pacific Northwest Residential Energy Survey : Phase 1 : Book 2 : Item-by-item Crosstabulations.

    SciTech Connect

    United States. Bonneville Power Administration. End-Use Research Section; Applied Management & Planning Group

    1993-08-01

    This book constitutes a portion of the primary documentation for the 1992 Pacific Northwest Residential Energy Survey, Phase I. The complete 33-volume set of primary documentation provides information needed by energy analysts and interpreters with respect to planning, execution, data collection, and data management of the PNWRES92-I process. Thirty of these volumes are devoted to different ``views`` of the data themselves, with each view having a special purpose or interest as its focus. Analyses and interpretations of these data will be the subjects of forthcoming publications. Conducted during the late summer and fall months of 1992, PNWRES92-I had the over-arching goal of satisfying basic requirements for a variety of information about the stock of residential units in Bonneville`s service region. Surveys with a similar goal were conducted in 1979 and 1983. This volume discerns the information by region. ``Selected crosstabulations`` refers to a set of nine survey items of wide interest (Dwelling Type, Ownership Type, Year-of-Construction, Dwelling Size, Primary Space-Heating Fuel, Primary Water-Heating Fuel, Household Income for 1991, Utility Type, and Space-Heating Fuels: Systems and Equipment) that were crosstabulated among themselves.

  4. Experiments in materials science from household items

    NASA Technical Reports Server (NTRS)

    Spiegel, F. Xavier

    1993-01-01

    Everyday household items are used to demonstrate some unique properties of materials. A coat hanger, rubber band, balloon, and corn starch have typical properties which we often take for granted but can be truly amazing.

  5. Investigating the Impact of Item Parameter Drift for Item Response Theory Models with Mixture Distributions

    PubMed Central

    Park, Yoon Soo; Lee, Young-Sun; Xing, Kuan

    2016-01-01

    This study investigates the impact of item parameter drift (IPD) on parameter and ability estimation when the underlying measurement model fits a mixture distribution, thereby violating the item invariance property of unidimensional item response theory (IRT) models. An empirical study was conducted to demonstrate the occurrence of both IPD and an underlying mixture distribution using real-world data. Twenty-one trended anchor items from the 1999, 2003, and 2007 administrations of Trends in International Mathematics and Science Study (TIMSS) were analyzed using unidimensional and mixture IRT models. TIMSS treats trended anchor items as invariant over testing administrations and uses pre-calibrated item parameters based on unidimensional IRT. However, empirical results showed evidence of two latent subgroups with IPD. Results also showed changes in the distribution of examinee ability between latent classes over the three administrations. A simulation study was conducted to examine the impact of IPD on the estimation of ability and item parameters, when data have underlying mixture distributions. Simulations used data generated from a mixture IRT model and estimated using unidimensional IRT. Results showed that data reflecting IPD using mixture IRT model led to IPD in the unidimensional IRT model. Changes in the distribution of examinee ability also affected item parameters. Moreover, drift with respect to item discrimination and distribution of examinee ability affected estimates of examinee ability. These findings demonstrate the need to caution and evaluate IPD using a mixture IRT framework to understand its effects on item parameters and examinee ability. PMID:26941699

  6. Identification of Commercial Items Risk Factors

    DTIC Science & Technology

    2003-03-01

    profitable ) commercial customer-base. This means that the commercial vendors have several customers and their products are manufactured to meet more...NAVAL POSTGRADUATE SCHOOL Monterey, California THESIS Approved for public release; distribution is unlimited IDENTIFICATION OF COMMERCIAL ITEMS...of Commercial Items Risk Factors 6. AUTHOR(S) 5. FUNDING NUMBERS 7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) Naval Postgraduate School

  7. Calorimetry of low mass Pu239 items

    SciTech Connect

    Cremers, Teresa L; Sampson, Thomas E

    2010-01-01

    Calorimetric assay has the reputation of providing the highest precision and accuracy of all nondestructive assay measurements. Unfortunately, non-destructive assay practitioners and measurement consumers often extend, inappropriately, the high precision and accuracy of calorimetric assay to very low mass items. One purpose of this document is to present more realistic expectations for the random uncertainties associated with calorimetric assay for weapons grade plutonium items with masses of 200 grams or less.

  8. NAC Aftermarket Brake Components Project (Secondary Items)

    DTIC Science & Technology

    2006-09-25

    NAC Aftermarket Brake Components Project (Secondary Items) SAE Paper #2006-01-3192 25 September 2006, Grapevine Version R4 (Final) Report...REPORT TYPE N/A 3. DATES COVERED - 4. TITLE AND SUBTITLE NAC Aftermarket Brake Components Project (Secondary Items) 5a. CONTRACT NUMBER 5b...PAGE unclassified Standard Form 298 (Rev. 8-98) Prescribed by ANSI Std Z39-18 NAC Aftermarket Brake Components Project By: Leo Miller, USA

  9. Implementation of Paste Backfill Mining Technology in Chinese Coal Mines

    PubMed Central

    Chang, Qingliang; Zhou, Huaqiang; Bai, Jianbiao

    2014-01-01

    Implementation of clean mining technology at coal mines is crucial to protect the environment and maintain balance among energy resources, consumption, and ecology. After reviewing present coal clean mining technology, we introduce the technology principles and technological process of paste backfill mining in coal mines and discuss the components and features of backfill materials, the constitution of the backfill system, and the backfill process. Specific implementation of this technology and its application are analyzed for paste backfill mining in Daizhuang Coal Mine; a practical implementation shows that paste backfill mining can improve the safety and excavation rate of coal mining, which can effectively resolve surface subsidence problems caused by underground mining activities, by utilizing solid waste such as coal gangues as a resource. Therefore, paste backfill mining is an effective clean coal mining technology, which has widespread application. PMID:25258737

  10. Implementation of paste backfill mining technology in Chinese coal mines.

    PubMed

    Chang, Qingliang; Chen, Jianhang; Zhou, Huaqiang; Bai, Jianbiao

    2014-01-01

    Implementation of clean mining technology at coal mines is crucial to protect the environment and maintain balance among energy resources, consumption, and ecology. After reviewing present coal clean mining technology, we introduce the technology principles and technological process of paste backfill mining in coal mines and discuss the components and features of backfill materials, the constitution of the backfill system, and the backfill process. Specific implementation of this technology and its application are analyzed for paste backfill mining in Daizhuang Coal Mine; a practical implementation shows that paste backfill mining can improve the safety and excavation rate of coal mining, which can effectively resolve surface subsidence problems caused by underground mining activities, by utilizing solid waste such as coal gangues as a resource. Therefore, paste backfill mining is an effective clean coal mining technology, which has widespread application.

  11. Comparison between Dichotomous and Polytomous Scoring of Innovative Items in a Large-Scale Computerized Adaptive Test

    ERIC Educational Resources Information Center

    Jiao, Hong; Liu, Junhui; Haynie, Kathleen; Woo, Ada; Gorham, Jerry

    2012-01-01

    This study explored the impact of partial credit scoring of one type of innovative items (multiple-response items) in a computerized adaptive version of a large-scale licensure pretest and operational test settings. The impacts of partial credit scoring on the estimation of the ability parameters and classification decisions in operational test…

  12. Estimating the Reliability of a Test Battery Composite or a Test Score Based on Weighted Item Scoring

    ERIC Educational Resources Information Center

    Feldt, Leonard S.

    2004-01-01

    In some settings, the validity of a battery composite or a test score is enhanced by weighting some parts or items more heavily than others in the total score. This article describes methods of estimating the total score reliability coefficient when differential weights are used with items or parts.

  13. Checking the Appropriateness of Item Response Theory Models by Predicting the Distribution of Observed Scores: The Program EO-Fit.

    ERIC Educational Resources Information Center

    Ferrando, Pere J.; Lorenzo-Seva, Urbano

    2001-01-01

    Describes a Windows program for checking the suitability of unidimensional logistic item response models for binary and ordered polytomous responses with respect to a given set of data. The program is based on predicting the observed test score distributions from the item characteristic curves. (SLD)

  14. An Investigation of the Likelihood Ratio Test for Detection of Differential Item Functioning under the Partial Credit Model.

    ERIC Educational Resources Information Center

    Kim, Seock-Ho; Cohen, Allan S.; DiStefano, Christine A.; Kim, Sooyeon

    Type I error rates of the likelihood ratio test for the detection of differential item functioning (DIF) in the partial credit model were investigated using simulated data. The partial credit model with four ordered performance levels was used to generate data sets of a 30-item test for samples of 300 and 1,000 simulated examinees. Three different…

  15. Graph Mining Meets the Semantic Web

    SciTech Connect

    Lee, Sangkeun; Sukumar, Sreenivas R; Lim, Seung-Hwan

    2015-01-01

    The Resource Description Framework (RDF) and SPARQL Protocol and RDF Query Language (SPARQL) were introduced about a decade ago to enable flexible schema-free data interchange on the Semantic Web. Today, data scientists use the framework as a scalable graph representation for integrating, querying, exploring and analyzing data sets hosted at different sources. With increasing adoption, the need for graph mining capabilities for the Semantic Web has emerged. We address that need through implementation of three popular iterative Graph Mining algorithms (Triangle count, Connected component analysis, and PageRank). We implement these algorithms as SPARQL queries, wrapped within Python scripts. We evaluate the performance of our implementation on 6 real world data sets and show graph mining algorithms (that have a linear-algebra formulation) can indeed be unleashed on data represented as RDF graphs using the SPARQL query interface.

  16. Item difficulty in the evaluation of computer-based instruction: an example from neuroanatomy.

    PubMed

    Chariker, Julia H; Naaz, Farah; Pani, John R

    2012-01-01

    This article reports large item effects in a study of computer-based learning of neuroanatomy. Outcome measures of the efficiency of learning, transfer of learning, and generalization of knowledge diverged by a wide margin across test items, with certain sets of items emerging as particularly difficult to master. In addition, the outcomes of comparisons between instructional methods changed with the difficulty of the items to be learned. More challenging items better differentiated between instructional methods. This set of results is important for two reasons. First, it suggests that instruction may be more efficient if sets of consistently difficult items are the targets of instructional methods particularly suited to them. Second, there is wide variation in the published literature regarding the outcomes of empirical evaluations of computer-based instruction. As a consequence, many questions arise as to the factors that may affect such evaluations. The present article demonstrates that the level of challenge in the material that is presented to learners is an important factor to consider in the evaluation of a computer-based instructional system.

  17. Land Mines (Landminen)

    DTIC Science & Technology

    1978-02-02

    making contact with the safety pin of the pull fuze 42. Two locking bolts held the upper and lower case in position during transport, so that there... safety pin out of the extended striker, thus releasing it. These mines were filled with 200 g of explosives. This type of mine was the model for the...by inserting the detonator slide. However, the mine is not fully armed until the safety pin is removed and reinserted until it makes contact with the

  18. Mining agreements III

    SciTech Connect

    Not Available

    1991-01-01

    This book cover the following: Forms of mining agreements; Preliminary letter agreements; Acquisition of mineral interests involving securities; Partnership tax treatment in mining agreements; Non-tax consequences of partnerships under state law; Protection against joint venturers' liabilities; Joint venture decision making; Mining royalties; Commingling and unitization provisions; Indemnification and insurance provisions; Area of interest provision; Dispute resolution; and Non-participation and default provisions.

  19. A baseline lunar mine

    NASA Technical Reports Server (NTRS)

    Gertsch, Richard E.

    1992-01-01

    A models lunar mining method is proposed that illustrates the problems to be expected in lunar mining and how they might be solved. While the method is quite feasible, it is, more importantly, a useful baseline system against which to test other, possible better, methods. Our study group proposed the slusher to stimulate discussion of how a lunar mining operation might be successfully accomplished. Critics of the slusher system were invited to propose better methods. The group noted that while nonterrestrial mining has been a vital part of past space manufacturing proposals, no one has proposed a lunar mining system in any real detail. The group considered it essential that the design of actual, workable, and specific lunar mining methods begin immediately. Based on an earlier proposal, the method is a three-drum slusher, also known as a cable-operated drag scraper. Its terrestrial application is quite limited, as it is relatively inefficient and inflexible. The method usually finds use in underwater mining from the shore and in moving small amounts of ore underground. When lunar mining scales up, the lunarized slusher will be replaced by more efficient, high-volume methods. Other aspects of lunar mining are discussed.

  20. Mine waste technology program

    SciTech Connect

    Wilmoth, R.C.; Powers, T.J.

    1995-10-01

    The Mine Waste Technology Program (MWTP) was initiated to address mining waste generated by active and inactive mining production facilities. In June 1991, an Interagency Agreement was signed between the U.S. Environmental Protection Agency and the Department of Energy which outlined the following activities: To identify and prioritize treatment technologies as candidates for demonstration projects; To propose and conduct large pilot-/field-scale demonstration projects of several innovative technologies that show promise for cost effectively remediating local, regional, and national mine waste problems.

  1. Data mining support systems

    NASA Astrophysics Data System (ADS)

    Zhao, Yinliang; Yao, JingTao; Yao, Yiyu

    2004-04-01

    The main stream of research in data mining (or knowledge discovery in databases) focuses on algorithms and automatic or semi-automatic processes for discovering knowledge hidden in data. In this paper, we adopt a more general and goal oriented view of data mining. Data mining is regarded as a field of study covering the theories, methodologies, techniques, and activities with the goal of discovering new and useful knowledge. One of its objectives is to design and implement data mining systems. A miner solves problems of data mining manually, or semi-automatically by using such systems. However, there is a lack of studies on how to assist a miner in solving data mining problems. From the experiences and lessons of decision support systems, we introduce the concept of data mining support systems (DMSS). We draw an analogy between the field of decision-making and the field of data mining, and between the role of a manager and the role of a data miner. A DMSS is an active and highly interactive computer system that assists data mining activities. The needs and the basic features of DMSS are discussed.

  2. Learning User Preferences for Sets of Objects

    NASA Technical Reports Server (NTRS)

    desJardins, Marie; Eaton, Eric; Wagstaff, Kiri L.

    2006-01-01

    Most work on preference learning has focused on pairwise preferences or rankings over individual items. In this paper, we present a method for learning preferences over sets of items. Our learning method takes as input a collection of positive examples--that is, one or more sets that have been identified by a user as desirable. Kernel density estimation is used to estimate the value function for individual items, and the desired set diversity is estimated from the average set diversity observed in the collection. Since this is a new learning problem, we introduce a new evaluation methodology and evaluate the learning method on two data collections: synthetic blocks-world data and a new real-world music data collection that we have gathered.

  3. 17 CFR 229.1115 - (Item 1115) Certain derivatives instruments.

    Code of Federal Regulations, 2012 CFR

    2012-04-01

    ... AB) § 229.1115 (Item 1115) Certain derivatives instruments. This item relates to derivative.... Instructions 2, 3 and 5 to Item 1114 of this Regulation AB apply to the information contemplated by...

  4. 17 CFR 229.1115 - (Item 1115) Certain derivatives instruments.

    Code of Federal Regulations, 2013 CFR

    2013-04-01

    ... AB) § 229.1115 (Item 1115) Certain derivatives instruments. This item relates to derivative.... Instructions 2, 3 and 5 to Item 1114 of this Regulation AB apply to the information contemplated by...

  5. 17 CFR 229.1115 - (Item 1115) Certain derivatives instruments.

    Code of Federal Regulations, 2011 CFR

    2011-04-01

    ... AB) § 229.1115 (Item 1115) Certain derivatives instruments. This item relates to derivative.... Instructions 2, 3 and 5 to Item 1114 of this Regulation AB apply to the information contemplated by...

  6. 17 CFR 229.1115 - (Item 1115) Certain derivatives instruments.

    Code of Federal Regulations, 2010 CFR

    2010-04-01

    ... AB) § 229.1115 (Item 1115) Certain derivatives instruments. This item relates to derivative.... Instructions 2, 3 and 5 to Item 1114 of this Regulation AB apply to the information contemplated by...

  7. 17 CFR 229.1115 - (Item 1115) Certain derivatives instruments.

    Code of Federal Regulations, 2014 CFR

    2014-04-01

    ... AB) § 229.1115 (Item 1115) Certain derivatives instruments. This item relates to derivative.... Instructions 2, 3 and 5 to Item 1114 of this Regulation AB apply to the information contemplated by...

  8. Alternate item types: continuing the quest for authentic testing.

    PubMed

    Wendt, Anne; Kenny, Lorraine E

    2009-03-01

    Many test developers suggest that multiple-choice items can be used to evaluate critical thinking if the items are focused on measuring higher order thinking ability. The literature supports the use of alternate item types to assess additional competencies, such as higher level cognitive processing and critical thinking, as well as ways to allow examinees to demonstrate their competencies differently. This research study surveyed nurses after taking a test composed of alternate item types paired with multiple-choice items. The participants were asked to provide opinions regarding the items and the item formats. Demographic information was asked. In addition, information was collected as the participants responded to the items. The results of this study reveal that the participants thought that, in general, the items were more authentic and allowed them to demonstrate their competence better than multiple-choice items did. Further investigation into the optimal blend of alternate items and multiple-choice items is needed.

  9. Data mining learning bootstrap through semantic thumbnail analysis

    NASA Astrophysics Data System (ADS)

    Battiato, Sebastiano; Farinella, Giovanni Maria; Giuffrida, Giovanni; Tribulato, Giuseppe

    2007-01-01

    The rapid increase of technological innovations in the mobile phone industry induces the research community to develop new and advanced systems to optimize services offered by mobile phones operators (telcos) to maximize their effectiveness and improve their business. Data mining algorithms can run over data produced by mobile phones usage (e.g. image, video, text and logs files) to discover user's preferences and predict the most likely (to be purchased) offer for each individual customer. One of the main challenges is the reduction of the learning time and cost of these automatic tasks. In this paper we discuss an experiment where a commercial offer is composed by a small picture augmented with a short text describing the offer itself. Each customer's purchase is properly logged with all relevant information. Upon arrival of new items we need to learn who the best customers (prospects) for each item are, that is, the ones most likely to be interested in purchasing that specific item. Such learning activity is time consuming and, in our specific case, is not applicable given the large number of new items arriving every day. Basically, given the current customer base we are not able to learn on all new items. Thus, we need somehow to select among those new items to identify the best candidates. We do so by using a joint analysis between visual features and text to estimate how good each new item could be, that is, whether or not is worth to learn on it. Preliminary results show the effectiveness of the proposed approach to improve classical data mining techniques.

  10. Automatic sets and Delone sets

    NASA Astrophysics Data System (ADS)

    Barbé, A.; von Haeseler, F.

    2004-04-01

    Automatic sets D\\subset{\\bb Z}^m are characterized by having a finite number of decimations. They are equivalently generated by fixed points of certain substitution systems, or by certain finite automata. As examples, two-dimensional versions of the Thue-Morse, Baum-Sweet, Rudin-Shapiro and paperfolding sequences are presented. We give a necessary and sufficient condition for an automatic set D\\subset{\\bb Z}^m to be a Delone set in {\\bb R}^m . The result is then extended to automatic sets that are defined as fixed points of certain substitutions. The morphology of automatic sets is discussed by means of examples.

  11. Individual Effects of Agenda-Setting.

    ERIC Educational Resources Information Center

    Stevenson, Robert L.; Ahern, Thomas J.

    The agenda setting hypothesis of mass media effects, which maintains that the mass media set the agenda of public discussion and determine which items are to be discussed and which ignored, was tested. Agenda was defined as an attribute of individual respondents to be compared with those of various media. In a preliminary study, a group of 59…

  12. Food item use by coyote sex and age classes

    SciTech Connect

    Cypher, B.L.; Spencer, K.A.; Scrivner, J.H.

    1995-10-01

    Food item use by coyotes was compared between sexes and among age classes at the Naval Petroleum Reserves, California. Item use did not differ significantly between males and females. Although leporid was the item most frequently used by all age classes, item use differed significantly between pups (< 1 year), yearlings (1 year), and adults (> 1 year), probably due to differential use of secondary items. Variation in item use among age classes could potentially bias results of coyote food habit studies.

  13. Extracting value from coal mine methane

    SciTech Connect

    Liebert, B.

    2009-06-15

    Emerging US policy to regulate greenhouse gas (GHG) emissions through a cap-and-trade program presents mine managers with a new opportunity to explore and develop methane utilization or abatement projects that generate value from the anodization of carbon offset credits. In addition, the rising focus on US energy security and domestic energy supply is promoting mine managers and engineers to give further consideration to the importance of their methane gas by-products. The market through which coal mine methane offset projects can be developed and carbon offset credits monetized is quickly maturing. While many methane utilization projects have previously been uneconomical, the carbon offset credit market provides a new set of financing tools for mine engineers to capitalize these projects today. Currently , there are two certification programs that have approved project protocols for CMM projects. The Voluntary Carbon Standard (VCS) offers a methodology approved under the Clean Development Mechanism, the international compliance based offset market under the Kyoto Protocol. The VCS protocol is applicable to projects that combust ventilation air methane (VAM) and methane extracted from pre-and post-mine drainage systems. The Chicago Climate Exchange (CCX), which operates a voluntary yet binding cap-and-trade market, also has an approved protocol for CMM projects. CCX's protocol can be applied to projects combusting VAM, and methane extracted from pre-and-post-mine drainage systems, as well as abandoned mines. The article describes two case studies - Developing a gob gas utilization project financed by carbon offset credits and First VAM oxidation system to be commissioned at an operating mine in the US. 1 tab., 4 photos.

  14. Knowledge Discovery and Data Mining: An Overview

    NASA Technical Reports Server (NTRS)

    Fayyad, U.

    1995-01-01

    The process of knowledge discovery and data mining is the process of information extraction from very large databases. Its importance is described along with several techniques and considerations for selecting the most appropriate technique for extracting information from a particular data set.

  15. A note on using alpha and stratified alpha to estimate the reliability of a test composed of item parcels.

    PubMed

    Rae, Gordon

    2008-11-01

    Several authors have suggested that prior to conducting a confirmatory factor analysis it may be useful to group items into a smaller number of item 'parcels' or 'testlets'. The present paper mathematically shows that coefficient alpha based on these parcel scores will only exceed alpha based on the entire set of items if W, the ratio of the average covariance of items between parcels to the average covariance of items within parcels, is greater than unity. If W is less than unity, however, and errors of measurement are uncorrelated, then stratified alpha will be a better lower bound to the reliability of a measure than the other two coefficients. Stratified alpha are also equal to the true reliability of a test when items within parcels are essentially tau-equivalent if one assumes that errors of measurement are not correlated.

  16. ITEMS Project: An online sequence for teaching mathematics and astronomy

    NASA Astrophysics Data System (ADS)

    Martínez, Bernat; Pérez, Josep

    2010-10-01

    This work describes an elearning sequence for teaching geometry and astronomy in lower secondary school created inside the ITEMS (Improving Teacher Education in Mathematics and Science) project. It is based on results from the astronomy education research about studentsŠ difficulties in understanding elementary astronomical observations and models. The sequence consists of a set of computer animations embedded in an elearning environment aimed at supporting students in learning about astronomy ideas that require the use of geometrical concepts and visual-spatial reasoning.

  17. Seeing sets: representation by statistical properties.

    PubMed

    Ariely, D

    2001-03-01

    Sets of similar objects are common occurrences--a crowd of people, a bunch of bananas, a copse of trees, a shelf of books, a line of cars. Each item in the set may be distinct, highly visible, and discriminable. But when we look away from the set, what information do we have? The current article starts to address this question by introducing the idea of a set representation. This idea was tested using two new paradigms: mean discrimination and member identification. Three experiments using sets of different-sized spots showed that observers know a set's mean quite accurately but know little about the individual items, except their range. Taken together, these results suggest that the visual system represents the overall statistical, and not individual, properties of sets.

  18. Text Sets.

    ERIC Educational Resources Information Center

    Giorgis, Cyndi; Johnson, Nancy J.

    2002-01-01

    Presents annotations of approximately 30 titles grouped in text sets. Defines a text set as five to ten books on a particular topic or theme. Discusses books on the following topics: living creatures; pirates; physical appearance; natural disasters; and the Irish potato famine. (SG)

  19. Clementine: Colorado School of Mines

    SciTech Connect

    Murphy, R.R.

    1996-12-31

    The Colorado School of Mines (CSM) is fielding a team comprised of undergraduates in Computer Science or Engineering who are enrolled in the Robotics and AI Minor. The intent is to provide a forum for the students to (a) transfer what they have learned in the classroom to a more realistic setting, (b) meet with top researchers in the field, (c) have an undergraduate research experience, and (d) have fun. The students work with the team advisor and graduate students at CSM to integrate and modify code developed for NSF, ARPA, and NASA funded research projects. This will be the fourth year CSM has participated in the competition.

  20. Utility of critical items within the Recognition Memory Test and Word Choice Test.

    PubMed

    Erdodi, Laszlo A; Tyson, Bradley T; Abeare, Christopher A; Zuccato, Brandon G; Rai, Jaspreet K; Seke, Kristian R; Sagar, Sanya; Roth, Robert M

    2017-03-17

    This study was designed to examine the clinical utility of critical items within the Recognition Memory Test (RMT) and the Word Choice Test (WCT). Archival data were collected from a mixed clinical sample of 202 patients clinically referred for neuropsychological testing (54.5% male; mean age = 45.3 years; mean level of education = 13.9 years). The credibility of a given response set was psychometrically defined using three separate composite measures, each of which was based on multiple independent performance validity indicators. Critical items improved the classification accuracy of both tests. They increased sensitivity by correctly identifying an additional 2-17% of the invalid response sets that passed the traditional cutoffs based on total score. They also increased specificity by providing additional evidence of noncredible performance in response sets that failed the total score cutoff. The combination of failing the traditional cutoff, but passing critical items was associated with increased risk of misclassifying the response set as invalid. Critical item analysis enhances the diagnostic power of both the RMT and WCT. Given that critical items require no additional test material or administration time, but help reduce both false positive and false negative errors, they represent a versatile, valuable, and time- and cost-effective supplement to performance validity assessment.

  1. Underground Coal Mining

    NASA Technical Reports Server (NTRS)

    Hill, G. M.

    1980-01-01

    Computer program models coal-mining production, equipment failure and equipment repair. Underground mine is represented as collection of work stations requiring service by production and repair crews alternately. Model projects equipment availability and productivity, and indicates proper balance of labor and equipment. Program is in FORTRAN IV for batch execution; it has been implemented on UNIVAC 1108.

  2. Biotreatment of mine drainage

    SciTech Connect

    Bender, J.; Phillips, R.

    1996-12-31

    Several experiments and field tests of microbial mats are described. One study determined the removal rate of Uranium 238 and metals from groundwater by microbial mats. Free floating mats, immobilized mats, excised mats, and pond treatment were examined. Field tests of acid coal mine drainage and precious metal mine drainage are also summarized. The mechanisms of metal removal are briefly described.

  3. Mining outlook in Indonesia

    SciTech Connect

    Not Available

    1984-06-01

    The outlook for mining in Indonesia is presented. Coal appears to be the most promising growth area for Indonesian mining interests, with production slated to reach 1.5 million t/yr by 1985, up from 0.5 million ton in 1983. Also discussed production and trends, aluminum, copper, nickel, silver, gold, tin and iron sands in Indonesia.

  4. Development and assessment of floor and ceiling items for the PROMIS physical function item bank

    PubMed Central

    2013-01-01

    Introduction Disability and Physical Function (PF) outcome assessment has had limited ability to measure functional status at the floor (very poor functional abilities) or the ceiling (very high functional abilities). We sought to identify, develop and evaluate new floor and ceiling items to enable broader and more precise assessment of PF outcomes for the NIH Patient-Reported-Outcomes Measurement Information System (PROMIS). Methods We conducted two cross-sectional studies using NIH PROMIS item improvement protocols with expert review, participant survey and focus group methods. In Study 1, respondents with low PF abilities evaluated new floor items, and those with high PF abilities evaluated new ceiling items for clarity, importance and relevance. In Study 2, we compared difficulty ratings of new floor items by low functioning respondents and ceiling items by high functioning respondents to reference PROMIS PF-10 items. We used frequencies, percentages, means and standard deviations to analyze the data. Results In Study 1, low (n = 84) and high (n = 90) functioning respondents were mostly White, women, 70 years old, with some college, and disability scores of 0.62 and 0.30. More than 90% of the 31 new floor and 31 new ceiling items were rated as clear, important and relevant, leaving 26 ceiling and 30 floor items for Study 2. Low (n = 246) and high (n = 637) functioning Study 2 respondents were mostly White, women, 70 years old, with some college, and Health Assessment Questionnaire (HAQ) scores of 1.62 and 0.003. Compared to difficulty ratings of reference items, ceiling items were rated to be 10% more to greater than 40% more difficult to do, and floor items were rated to be about 12% to nearly 90% less difficult to do. Conclusions These new floor and ceiling items considerably extend the measurable range of physical function at either extreme. They will help improve instrument performance in populations with broad functional ranges and those concentrated at

  5. PRB mines mature

    SciTech Connect

    Buchsbaum, L.

    2007-08-15

    Already seeing the results of reclamation efforts, America's largest surface mines advance as engineers prepare for the future. 30 years after the signing of the Surface Mining Control and Reclamation Act by Jimmy Carter, western strip mines in the USA, especially in the Powder River Basin, are producing more coal than ever. The article describes the construction and installation of a $38.5 million near-pit crusher and overland belt conveyor system at Foundation Coal West's (FCW) Belle Ayr surface mine in Wyoming, one of the earliest PRB mines. It goes on to describe the development by Rio Tinto of an elk conservatory, the Rochelle Hill Conservation Easement, on reclaimed land at Jacobs Ranch, adjacent to the Rochelle Hills. 4 photos.

  6. Mining Deployment Optimization

    NASA Astrophysics Data System (ADS)

    Čech, Jozef

    2016-09-01

    The deployment problem, researched primarily in the military sector, is emerging in some other industries, mining included. The principal decision is how to deploy some activities in space and time to achieve desired outcome while complying with certain requirements or limits. Requirements and limits are on the side constraints, while minimizing costs or maximizing some benefits are on the side of objectives. A model with application to mining of polymetallic deposit is presented. To obtain quick and immediate decision solutions for a mining engineer with experimental possibilities is the main intention of a computer-based tool. The task is to determine strategic deployment of mining activities on a deposit, meeting planned output from the mine and at the same time complying with limited reserves and haulage capacities. Priorities and benefits can be formulated by the planner.

  7. Qualitative Development of the PROMIS® Pediatric Stress Response Item Banks

    PubMed Central

    Gardner, William; Pajer, Kathleen; Riley, Anne W.; Forrest, Christopher B.

    2013-01-01

    Objective To describe the qualitative development of the Patient-Reported Outcome Measurement Information System (PROMIS®) Pediatric Stress Response item banks. Methods Stress response concepts were specified through a literature review and interviews with content experts, children, and parents. A library comprising 2,677 items derived from 71 instruments was developed. Items were classified into conceptual categories; new items were written and redundant items were removed. Items were then revised based on cognitive interviews (n = 39 children), readability analyses, and translatability reviews. Results 2 pediatric Stress Response sub-domains were identified: somatic experiences (43 items) and psychological experiences (64 items). Final item pools cover the full range of children’s stress experiences. Items are comprehensible among children aged ≥8 years and ready for translation. Conclusions Child- and parent-report versions of the item banks assess children’s somatic and psychological states when demands tax their adaptive capabilities. PMID:23124904

  8. Item method directed forgetting diminishes false memory.

    PubMed

    Marche, Tammy A; Brainerd, Charles J; Lane, David G; Loehr, Janeen D

    2005-10-01

    Directed forgetting may reduce DRM false memory illusion by interfering with meaning processing. Participants were presented with a list composed of six 10-word semantically associated sub-lists, and they were either (a) asked to remember all list items of (b) asked to remember all associates from sub-lists and to forget all associates from other sub-lists. All participants were requested to recall and recognise list items. Although directed forgetting effects have been previously reported only for true responses in the DRM paradigm with the list method, we also found directed forgetting for false responses with the item method. Such forgetting instructions reduced both verbatim and meaning processing, decreasing both the intrusion and the false alarm rate. These results are consistent with two-process explanations of DRM false memories, such as fuzzy-trace theory, and add to our understanding of false memory editing.

  9. Modeling Local Item Dependence in Cloze and Reading Comprehension Test Items Using Testlet Response Theory

    ERIC Educational Resources Information Center

    Baghaei, Purya; Ravand, Hamdollah

    2016-01-01

    In this study the magnitudes of local dependence generated by cloze test items and reading comprehension items were compared and their impact on parameter estimates and test precision was investigated. An advanced English as a foreign language reading comprehension test containing three reading passages and a cloze test was analyzed with a…

  10. A Comparison of the 27-Item and 12-Item Intolerance of Uncertainty Scales

    ERIC Educational Resources Information Center

    Khawaja, Nigar G.; Yu, Lai Ngo Heidi

    2010-01-01

    The 27-item Intolerance of Uncertainty Scale (IUS) has become one of the most frequently used measures of Intolerance of Uncertainty. More recently, an abridged, 12-item version of the IUS has been developed. The current research used clinical (n = 50) and non-clinical (n = 56) samples to examine and compare the psychometric properties of both…

  11. 48 CFR 852.214-71 - Restrictions on alternate item(s).

    Code of Federal Regulations, 2014 CFR

    2014-10-01

    ... 48 Federal Acquisition Regulations System 5 2014-10-01 2014-10-01 false Restrictions on alternate item(s). 852.214-71 Section 852.214-71 Federal Acquisition Regulations System DEPARTMENT OF VETERANS AFFAIRS CLAUSES AND FORMS SOLICITATION PROVISIONS AND CONTRACT CLAUSES Texts of Provisions and Clauses...

  12. Detecting Differential Item Functioning of Polytomous Items for an Ideal Point Response Process

    ERIC Educational Resources Information Center

    Wang, Wei; Tay, Louis; Drasgow, Fritz

    2013-01-01

    There has been growing use of ideal point models to develop scales measuring important psychological constructs. For meaningful comparisons across groups, it is important to identify items on such scales that exhibit differential item functioning (DIF). In this study, the authors examined several methods for assessing DIF on polytomous items…

  13. Investigating Gender Differential Item Functioning across Countries and Test Languages for PISA Science Items

    ERIC Educational Resources Information Center

    Le, Luc T.

    2009-01-01

    This study uses PISA cycle 3 field trial data to investigate the relationships between gender differential item functioning (DIF) across countries and test languages for science items and their formats and the four other dimensions defined in PISA framework: focus, context, competency, and scientific knowledge. The data used were collected from 60…

  14. Evaluating Item Discrimination Power of WHOQOL-BREF from an Item Response Model Perspectives

    ERIC Educational Resources Information Center

    Lin, Ting Hsiang; Yao, Grace

    2009-01-01

    Quality of life (QOL) has become an important component of health. By using the methodology of psychometric theory, we examine the item properties of the WHOQOL-BRIEF. Samejima's graded response model with natural metrics of the logistic response function was fitted. The results showed items with negative natures were less discriminating. Items…

  15. Assessing Scientific Reasoning: A Comprehensive Evaluation of Item Features That Affect Item Difficulty

    ERIC Educational Resources Information Center

    Stiller, Jurik; Hartmann, Stefan; Mathesius, Sabrina; Straube, Philipp; Tiemann, Rüdiger; Nordmeier, Volkhard; Krüger, Dirk; Upmeier zu Belzen, Annette

    2016-01-01

    The aim of this study was to improve the criterion-related test score interpretation of a text-based assessment of scientific reasoning competencies in higher education by evaluating factors which systematically affect item difficulty. To provide evidence about the specific demands which test items of various difficulty make on pre-service…

  16. Multiple-Group Noncompensatory Differential Item Functioning in Raju's Differential Functioning of Items and Tests

    ERIC Educational Resources Information Center

    Oshima, T. C.; Wright, Keith; White, Nick

    2015-01-01

    Raju, van der Linden, and Fleer (1995) introduced a framework for differential functioning of items and tests (DFIT) for unidimensional dichotomous models. Since then, DFIT has been shown to be a quite versatile framework as it can handle polytomous as well as multidimensional models both at the item and test levels. However, DFIT is still limited…

  17. Language-related differential item functioning between English and German PROMIS Depression items is negligible.

    PubMed

    Fischer, H Felix; Wahl, Inka; Nolte, Sandra; Liegl, Gregor; Brähler, Elmar; Löwe, Bernd; Rose, Matthias

    2016-10-16

    To investigate differential item functioning (DIF) of PROMIS Depression items between US and German samples we compared data from the US PROMIS calibration sample (n = 780), a German general population survey (n = 2,500) and a German clinical sample (n = 621). DIF was assessed in an ordinal logistic regression framework, with 0.02 as criterion for R(2) -change and 0.096 for Raju's non-compensatory DIF. Item parameters were initially fixed to the PROMIS Depression metric; we used plausible values to account for uncertainty in depression estimates. Only four items showed DIF. Accounting for DIF led to negligible effects for the full item bank as well as a post hoc simulated computer-adaptive test (< 0.1 point on the PROMIS metric [mean = 50, standard deviation =10]), while the effect on the short forms was small (< 1 point). The mean depression severity (43.6) in the German general population sample was considerably lower compared to the US reference value of 50. Overall, we found little evidence for language DIF between US and German samples, which could be addressed by either replacing the DIF items by items not showing DIF or by scoring the short form in German samples with the corrected item parameters reported.

  18. Identification and Development of Items Comprising Organizational Citizenship Behaviors Among Pharmacy Faculty

    PubMed Central

    Semsick, Gretchen R.

    2016-01-01

    Objective. Identify behaviors that can compose a measure of organizational citizenship by pharmacy faculty. Methods. A four-round, modified Delphi procedure using open-ended questions (Round 1) was conducted with 13 panelists from pharmacy academia. The items generated were evaluated and refined for inclusion in subsequent rounds. A consensus was reached after completing four rounds. Results. The panel produced a set of 26 items indicative of extra-role behaviors by faculty colleagues considered to compose a measure of citizenship, which is an expressed manifestation of collegiality. Conclusions. The items generated require testing for validation and reliability in a large sample to create a measure of organizational citizenship. Even prior to doing so, the list of items can serve as a resource for mentorship of junior and senior faculty alike. PMID:28179717

  19. 2. EMPIRE STATE MINE. VIEW OF COLLAPSED BUILDINGS AT MINE ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    2. EMPIRE STATE MINE. VIEW OF COLLAPSED BUILDINGS AT MINE WITH TAILINGS ON RIGHT. CAMERA POINTED SOUTHWEST. COLLAPSED ADIT APPROXIMATELY 25 YARDS UPHILL TO THE LEFT OF FAR BUILDING. TIP TOP AND ONTARIO ARE LOCATED OUT OF THE PICTURE TO THE RIGHT. - Florida Mountain Mining Sites, Empire State Mine, West side of Florida Mountain, Silver City, Owyhee County, ID

  20. Mining and Integration of Environmental Data

    NASA Astrophysics Data System (ADS)

    Tran, V.; Hluchy, L.; Habala, O.; Ciglan, M.

    2009-04-01

    The project ADMIRE (Advanced Data Mining and Integration Research for Europe) is a 7th FP EU ICT project aims to deliver a consistent and easy-to-use technology for extracting information and knowledge. The project is motivated by the difficulty of extracting meaningful information by data mining combinations of data from multiple heterogeneous and distributed resources. It will also provide an abstract view of data mining and integration, which will give users and developers the power to cope with complexity and heterogeneity of services, data and processes. The data sets describing phenomena from domains like business, society, and environment often contain spatial and temporal dimensions. Integration of spatio-temporal data from different sources is a challenging task due to those dimensions. Different spatio-temporal data sets contain data at different resolutions (e.g. size of the spatial grid) and frequencies. This heterogeneity is the principal challenge of geo-spatial and temporal data sets integration - the integrated data set should hold homogeneous data of the same resolution and frequency. Thus, to integrate heterogeneous spatio-temporal data from distinct source, transformation of one or more data sets is necessary. Following transformation operation are required: • transformation to common spatial and temporal representation - (e.g. transformation to common coordinate system), • spatial and/or temporal aggregation - data from detailed data source are aggregated to match the resolution of other resources involved in the integration process, • spatial and/or temporal record decomposition - records from source with lower resolution data are decomposed to match the granularity of the other data source. This operation decreases data quality (e.g. transformation of data from 50km grid to 10 km grid) - data from lower resolution data set in the integrated schema are imprecise, but it allows us to preserve higher resolution data. We can decompose the

  1. An inter-item similarity model unifying feature and conjunction search.

    PubMed

    Phillips, Steven; Takeda, Yuji; Kumada, Takatsune

    2006-10-01

    We propose a model of visual search to address the hitherto unresolved issue of reconciling serial deployment of attention accounts with inter-item similarity effects. Target-distractor and distractor-distractor similarity were systematically varied in 85 (17x5) set type-size conditions over seven experiments, including univariate feature and bivariate conjunction search. The model, a power (square root) function of dimension-specific target-distractor and distractor-distractor similarity in linear combination with set size, accounted for 98% of the variance on type-size means. It suggests that much of efficient and inefficient search can be unified under a single theory involving item similarity.

  2. Directed forgetting of a single item.

    PubMed

    Gottlob, Lawrence R; Golding, Jonathan M; Hauselt, William J

    2006-01-01

    In two experiments, we investigated directed forgetting of a single item. We presented participants with two phone numbers to remember and instructed half of the participants to forget the first phone number. The first number was either learned on a single trial (Experiment 1) or on three trials (Experiment 2). In Experiment 1, there was evidence of directed forgetting as a result of differential encoding; the forget instruction affected recall and recognition for both phone numbers. In Experiment 2, the evidence favored differential rehearsal because the forget instruction affected recall but not recognition. These results indicate that instructions to forget can affect memory of single items.

  3. Mining the hydrosphere

    NASA Astrophysics Data System (ADS)

    Petersen, Ulrich

    1994-05-01

    , sodium carbonate (trona), sodium sulfate, S, and gypsum. These compounds, plus B, Cl, Calcium chloride, Li, and Sr (perhaps also F and U) are the best candidates for recovery from seawater because their value per ton of seawater is greater than that of other products. Further research aimed at recovering the aforementioned elements and compounds from seawater is justified and recommended. Given the many uncertainties involved, it is beyond the scope of this paper to present specific flow sheets and estimates of capital and operating costs for byproduct recovery. Rather, the purpose of this contribution is to provide a general overview of the potential benefits and problems, so that future research can be directed more fruitfully to the recovery of certain sets of elements or compounds under specific circumstances. Once a mineral commodity can be economically obtained from seawater, there is no further need to mine it on land from lower grade, deeper or more distant ore deposits (or to mine it in ecologically sensitive areas). Current producers need not excessively fear the proposed new supplies because in the past high transportation costs often prevented their nonmetallic commodities from reaching the distant potential markets that would be served by many byproduct-producing seawater processing plants. In addition, population growth and rising standards of living may well absorb much of the feared overcapacity in their spheres of influence. For traditional metals, such as Fe, Al, Cu, Pb, Zn, Au, and Ag, byproduct recovery from seawater desalination appears to be out of reach for a long time.

  4. Comparison of mine waste assessment methods at the Rattler mine site, Virginia Canyon, Colorado

    USGS Publications Warehouse

    Hageman, Phil L.; Smith, Kathleen S.; Wildeman, Thomas R.; Ranville, James F.

    2005-01-01

    In a joint project, the mine waste-piles at the Rattler Mine near Idaho Springs, Colorado, were sampled and analyzed by scientists from the U.S. Geological Survey (USGS) and the Colorado School of Mines (CSM). Separate sample collection, sample leaching, and leachate analyses were performed by both groups and the results were compared. For the study, both groups used the USGS sampling procedure and the USGS Field Leach Test (FLT). The leachates generated from these tests were analyzed for a suite of elements using ICP-AES (CSM) and ICP-MS (USGS). Leachate geochemical fingerprints produced by the two groups for composites collected from the same mine waste showed good agreement. In another set of tests, CSM collected another set of Rattler mine waste composite samples using the USGS sampling procedure. This set of composite samples was leached using the Colorado Division of Minerals and Geology (CDMG) leach test, and a modified Toxicity Characteristic Leaching Procedure (TCLP) leach test. Leachate geochemical fingerprints produced using these tests showed a variation of more than a factor of two from the geochemical fingerprints produced using the USGS FLT leach test. We have concluded that the variation in the results is due to the different parameters of the leaching tests and not due to the sampling or analytical methods.

  5. Some New Constraints On The Stratigraphic And Structural Setting Of The Soda Lake Geothermal Field, Churchill County, Nevada - McLACHLAN, Holly S. and FAULDS, James E., Nevada Bureau of Mines and Geology, University of Nevada, Reno, NV 89557

    NASA Astrophysics Data System (ADS)

    McLachlan, H. S.

    2012-12-01

    Our research group is currently conducting a regional survey to identify favorable structural settings of producing and prospective geothermal fields in the Great Basin. The Soda Lake geothermal field - one of the oldest consistently producing fields in this study region - is located in west-central Nevada near the heart of the Carson Sink. Producing and prospective geothermal fields in the surrounding highlands are hosted in 1) fault termination zones (Desert Queen), 2) accommodation zones (Brady's Hot Springs) and 3) fault step-overs (Desert Peak). However, the structural setting is challenging to identify at the Soda Lake field, because it lies in the central part of a large basin with no nearby bedrock exposures. The well field at Soda Lake is centered ~3.5 km NNE of the Holocene Soda Lake maar, from which it takes its name. The geothermal field was identified serendipitously during the drilling of an irrigation survey well in the early 20th century. Modern exploratory drilling at the field began in the mid-1970s and has continued sporadically to the present. There are currently more than 28 500+ m wells at and near the production site. The exceptional drilling density at Soda Lake allows for comparatively reliable correlation of stratigraphy in the subsurface below the feature-poor Carson Sink. Stratigraphy in the Soda Lake geothermal area is relatively "layer cake" at the scale of the well field. Unconsolidated sediments extend more than 1000 m below surface. The upper few hundred meters are composed of fluvial and lacustrine sediments derived from Sierran batholith source rocks. The deeper basin fill derives from more proximal mafic to felsic Miocene volcanic rocks along the basin margins. At ~450-650 m depth, basin sediments are interrupted by a 5.11 Ma trachytic basalt of restricted lateral extent and variable thickness. Most wells intercept ~50-250 m of fine lacustrine sediments below this basalt body before intercepting the basin floor. Basin floor rocks

  6. Land Mines Removal

    NASA Technical Reports Server (NTRS)

    1999-01-01

    The same rocket fuel that helps power the Space Shuttle as it thunders into orbit will now be taking on a new role, with the potential to benefit millions of people worldwide. Leftover rocket fuel from NASA is being used to make a flare that destroys land mines where they were buried, without using explosives. The flare is safe to handle and easy to use. People working to deactivate the mines simply place the flare next to the uncovered land mine and ignite it from a safe distance using a battery-triggered electric match. The flare burns a hole in the land mine's case and ignites its explosive contents. The explosive burns away, disabling the mine and rendering it harmless. Using leftover rocket fuel to help destroy land mines incurs no additional costs to taxpayers. To ensure enough propellant is available for each Shuttle mission, NASA allows for a small percentage of extra propellant in each batch. Once mixed, surplus fuel solidifies and carnot be saved for use in another launch. In its solid form, it is an ideal ingredient for new the flare. The flare was developed by Thiokol Propulsion in Brigham City, Utah, the NASA contractor that designs and builds rocket motors for the Solid Rocket Booster Space Shuttle. An estimated 80 million or more active land mines are scattered around the world in at least 70 countries, and kill or maim 26,000 people a year. Worldwide, there is one casualty every 22 minutes.

  7. Land Mines Removal

    NASA Technical Reports Server (NTRS)

    1999-01-01

    The same rocket fuel that helps power the Space Shuttle as it thunders into orbit will now be taking on a new role, with the potential to benefit millions of people worldwide. Leftover rocket fuel from NASA is being used to make a flare that destroys land mines where they were buried, without using explosives. The flare is safe to handle and easy to use. People working to deactivate the mines simply place the flare next to the uncovered land mine and ignite it from a safe distance using a battery-triggered electric match. The flare burns a hole in the land mine's case and ignites its explosive contents. The explosive burns away, disabling the mine and rendering it harmless. Using leftover rocket fuel to help destroy land mines incurs no additional costs to taxpayers. To ensure enough propellant is available for each Shuttle mission, NASA allows for a small percentage of extra propellant in each batch. Once mixed, surplus fuel solidifies and carnot be saved for use in another launch. In its solid form, it is an ideal ingredient for the new flare. The flare was developed by Thiokol Propulsion in Brigham City, Utah, the NASA contractor that designs and builds rocket motors for the Solid Rocket Booster Space Shuttle. An estimated 80 million or more active land mines are scattered around the world in at least 70 countries, and kill or maim 26,000 people a year. Worldwide, there is one casualty every 22 minutes

  8. 48 CFR 252.209-7010 - Critical Safety Items.

    Code of Federal Regulations, 2011 CFR

    2011-10-01

    ... 48 Federal Acquisition Regulations System 3 2011-10-01 2011-10-01 false Critical Safety Items. 252... Provisions And Clauses 252.209-7010 Critical Safety Items. As prescribed in 209.270-5, use the following clause: CRITICAL SAFETY ITEMS (AUG 2011) (a) Definitions. Aviation critical safety item means a part,...

  9. 48 CFR 252.209-7010 - Critical Safety Items.

    Code of Federal Regulations, 2013 CFR

    2013-10-01

    ... 48 Federal Acquisition Regulations System 3 2013-10-01 2013-10-01 false Critical Safety Items. 252... Provisions And Clauses 252.209-7010 Critical Safety Items. As prescribed in 209.270-5, use the following clause: Critical Safety Items (AUG 2011) (a) Definitions. Aviation critical safety item means a part,...

  10. A Sharing Item Response Theory Model for Computerized Adaptive Testing

    ERIC Educational Resources Information Center

    Segall, Daniel O.

    2004-01-01

    A new sharing item response theory (SIRT) model is presented that explicitly models the effects of sharing item content between informants and test takers. This model is used to construct adaptive item selection and scoring rules that provide increased precision and reduced score gains in instances where sharing occurs. The adaptive item selection…

  11. Rasch Based Analysis of Oral Presentation Assessment for Item Banking.

    ERIC Educational Resources Information Center

    Nakamura, Yuji

    The Rasch Model is an item response theory, one parameter model developed that states that the probability of a correct response is a function of the difficulty of the item and the ability of the candidate. Item banking is useful for language testing. The Rasch Model provides estimates of item difficulties that are meaningful, irrespective of…

  12. 48 CFR 252.204-7008 - Export-Controlled Items.

    Code of Federal Regulations, 2012 CFR

    2012-10-01

    ... 48 Federal Acquisition Regulations System 3 2012-10-01 2012-10-01 false Export-Controlled Items... of Provisions And Clauses 252.204-7008 Export-Controlled Items. As prescribed in 204.7304, use the following clause: Export-Controlled Items (APR 2010) (a) Definition. Export-controlled items, as used...

  13. Item Difficulty Estimation: An Auspicious Collaboration between Data and Judgment

    ERIC Educational Resources Information Center

    Wauters, Kelly; Desmet, Piet; Van Den Noortgate, Wim

    2012-01-01

    The evolution from static to dynamic electronic learning environments has stimulated the research on adaptive item sequencing. A prerequisite for adaptive item sequencing, in which the difficulty of the item is constantly matched to the ability level of the learner, is to have items with a known difficulty level. The difficulty level can be…

  14. 48 CFR 252.204-7008 - Export-Controlled Items.

    Code of Federal Regulations, 2010 CFR

    2010-10-01

    ... 48 Federal Acquisition Regulations System 3 2010-10-01 2010-10-01 false Export-Controlled Items... of Provisions And Clauses 252.204-7008 Export-Controlled Items. As prescribed in 204.7304, use the following clause: Export-Controlled Items (Apr 2010) (a) Definition. Export-controlled items, as used...

  15. Differential Responses of Female Forgers to MMPI Items.

    ERIC Educational Resources Information Center

    Owens, Robert G.; Harms, Laura O.

    1993-01-01

    Compared Minnesota Multiphasic Personality Inventory (MMPI) items for 128 females convicted of forgery against items for 128 females from age-matched normative sample. Thirty-three items were significant at 0.0001 level. Significant items were categorized as value system, relations with family, uncertainty, appearance of perfectionism,…

  16. Applying Hierarchical Model Calibration to Automatically Generated Items.

    ERIC Educational Resources Information Center

    Williamson, David M.; Johnson, Matthew S.; Sinharay, Sandip; Bejar, Isaac I.

    This study explored the application of hierarchical model calibration as a means of reducing, if not eliminating, the need for pretesting of automatically generated items from a common item model prior to operational use. Ultimately the successful development of automatic item generation (AIG) systems capable of producing items with highly similar…

  17. 41 CFR 101-30.101-1 - Civil agency item.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... 41 Public Contracts and Property Management 2 2011-07-01 2007-07-01 true Civil agency item. 101-30.101-1 Section 101-30.101-1 Public Contracts and Property Management Federal Property Management....1-General § 101-30.101-1 Civil agency item. Civil agency item means an item of supply in the...

  18. 10 CFR 835.605 - Labeling items and containers.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... 10 Energy 4 2010-01-01 2010-01-01 false Labeling items and containers. 835.605 Section 835.605... items and containers. Except as provided at § 835.606, each item or container of radioactive material... information to permit individuals handling, using, or working in the vicinity of the items or containers...

  19. Calibration of Automatically Generated Items Using Bayesian Hierarchical Modeling.

    ERIC Educational Resources Information Center

    Johnson, Matthew S.; Sinharay, Sandip

    For complex educational assessments, there is an increasing use of "item families," which are groups of related items. However, calibration or scoring for such an assessment requires fitting models that take into account the dependence structure inherent among the items that belong to the same item family. C. Glas and W. van der Linden…

  20. Using Mutual Information for Adaptive Item Comparison and Student Assessment

    ERIC Educational Resources Information Center

    Liu, Chao-Lin

    2005-01-01

    The author analyzes properties of mutual information between dichotomous concepts and test items. The properties generalize some common intuitions about item comparison, and provide principled foundations for designing item-selection heuristics for student assessment in computer-assisted educational systems. The proposed item-selection strategies…

  1. 26 CFR 301.6501(o)-3 - Partnership items.

    Code of Federal Regulations, 2013 CFR

    2013-04-01

    ... 26 Internal Revenue 18 2013-04-01 2013-04-01 false Partnership items. 301.6501(o)-3 Section 301... § 301.6501(o)-3 Partnership items. (a) Partnership item defined. For purposes of section 6501(o) (as it..., and § 301.6511(g)-1, the term “partnership item” means— (1) Any item required to be taken into...

  2. 26 CFR 301.6501(o)-3 - Partnership items.

    Code of Federal Regulations, 2014 CFR

    2014-04-01

    ... 26 Internal Revenue 18 2014-04-01 2014-04-01 false Partnership items. 301.6501(o)-3 Section 301... § 301.6501(o)-3 Partnership items. (a) Partnership item defined. For purposes of section 6501(o) (as it..., and § 301.6511(g)-1, the term “partnership item” means— (1) Any item required to be taken into...

  3. 26 CFR 301.6501(o)-3 - Partnership items.

    Code of Federal Regulations, 2012 CFR

    2012-04-01

    ... 26 Internal Revenue 18 2012-04-01 2012-04-01 false Partnership items. 301.6501(o)-3 Section 301... § 301.6501(o)-3 Partnership items. (a) Partnership item defined. For purposes of section 6501(o) (as it..., and § 301.6511(g)-1, the term “partnership item” means— (1) Any item required to be taken into...

  4. 48 CFR 52.244-6 - Subcontracts for Commercial Items.

    Code of Federal Regulations, 2011 CFR

    2011-10-01

    ... Commercial Items. 52.244-6 Section 52.244-6 Federal Acquisition Regulations System FEDERAL ACQUISITION... Clauses 52.244-6 Subcontracts for Commercial Items. As prescribed in 44.403, insert the following clause: Subcontracts for Commercial Items (DEC 2010) (a) Definitions. As used in this clause— Commercial item has...

  5. Optimal Design of Item Banks for Computerized Adaptive Tests.

    ERIC Educational Resources Information Center

    Stocking, Martha L.; Swanson, Len

    1998-01-01

    Applied optimal design methods to the item-bank design of adaptive testing for continuous testing situations using a version of the weighted-deviations model (M. Stocking and L. Swanson, 1993) in a simulation. Independent and overlapping item banks used items more efficiently than did a large item bank. (SLD)

  6. Item Response Theory Equating Using Bayesian Informative Priors.

    ERIC Educational Resources Information Center

    de la Torre, Jimmy; Patz, Richard J.

    This paper seeks to extend the application of Markov chain Monte Carlo (MCMC) methods in item response theory (IRT) to include the estimation of equating relationships along with the estimation of test item parameters. A method is proposed that incorporates estimation of the equating relationship in the item calibration phase. Item parameters from…

  7. Estimating Rater Severity with Multilevel and Multidimensional Item Response Modeling.

    ERIC Educational Resources Information Center

    Wang, Wen-chung

    Traditional approaches to the investigation of the objectivity of ratings for constructed-response items are based on classical test theory, which is item-dependent and sample-dependent. Item response theory overcomes this drawback by decomposing item difficulties into genuine difficulties and rater severity. In so doing, objectivity of ability…

  8. ACER Chemistry Test Item Collection. ACER Chemtic Year 12.

    ERIC Educational Resources Information Center

    Australian Council for Educational Research, Hawthorn.

    The chemistry test item banks contains 225 multiple-choice questions suitable for diagnostic and achievement testing; a three-page teacher's guide; answer key with item facilities; an answer sheet; and a 45-item sample achievement test. Although written for the new grade 12 chemistry course in Victoria, Australia, the items are widely applicable.…

  9. 41 CFR 101-30.101-1 - Civil agency item.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... 41 Public Contracts and Property Management 2 2010-07-01 2010-07-01 true Civil agency item. 101-30.101-1 Section 101-30.101-1 Public Contracts and Property Management Federal Property Management....1-General § 101-30.101-1 Civil agency item. Civil agency item means an item of supply in the...

  10. Australian Chemistry Test Item Bank: Years 11 & 12. Volume 1.

    ERIC Educational Resources Information Center

    Commons, C., Ed.; Martin, P., Ed.

    Volume 1 of the Australian Chemistry Test Item Bank, consisting of two volumes, contains nearly 2000 multiple-choice items related to the chemistry taught in Year 11 and Year 12 courses in Australia. Items which were written during 1979 and 1980 were initially published in the "ACER Chemistry Test Item Collection" and in the "ACER…

  11. Item Response Theory Using Hierarchical Generalized Linear Models

    ERIC Educational Resources Information Center

    Ravand, Hamdollah

    2015-01-01

    Multilevel models (MLMs) are flexible in that they can be employed to obtain item and person parameters, test for differential item functioning (DIF) and capture both local item and person dependence. Papers on the MLM analysis of item response data have focused mostly on theoretical issues where applications have been add-ons to simulation…

  12. Some Properties of the Correlation Matrix of Dichotomous Guttman Items.

    ERIC Educational Resources Information Center

    Zwick, Rebecca

    1988-01-01

    Properties of dichotomous Guttman-scalable items are described. Both the elements and eigenvalues of the Pearson correlation matrix of such items can be expressed as simple functions of the number of items if the score distribution is uniform and there is an equal number of items at each difficulty level. (SLD)

  13. An Analytical Method of Identifying Biased Test Items.

    ERIC Educational Resources Information Center

    Plake, Barbara S.; Hoover, H. D.

    1979-01-01

    A follow-up technique is needed to identify items contributing to items-by-groups interaction when using an ANOVA procedure to examine a test for biased items. The method described includes distribution theory for assessing level of significance and is sensitive to items at all difficulty levels. (Author/GSK)

  14. Modeling Item-Position Effects within an IRT Framework

    ERIC Educational Resources Information Center

    Debeer, Dries; Janssen, Rianne

    2013-01-01

    Changing the order of items between alternate test forms to prevent copying and to enhance test security is a common practice in achievement testing. However, these changes in item order may affect item and test characteristics. Several procedures have been proposed for studying these item-order effects. The present study explores the use of…

  15. Setting the Response Time Threshold Parameter to Differentiate Solution Behavior from Rapid-Guessing Behavior

    ERIC Educational Resources Information Center

    Kong, Xiaojing J.; Wise, Steven L.; Bhola, Dennison S.

    2007-01-01

    This study compared four methods for setting item response time thresholds to differentiate rapid-guessing behavior from solution behavior. Thresholds were either (a) common for all test items, (b) based on item surface features such as the amount of reading required, (c) based on visually inspecting response time frequency distributions, or (d)…

  16. Relationship between Item Responses of Negative Affect Items and the Distribution of the Sum of the Item Scores in the General Population

    PubMed Central

    Kawasaki, Yohei; Ide, Kazuki; Akutagawa, Maiko; Yamada, Hiroshi; Furukawa, Toshiaki A.; Ono, Yutaka

    2016-01-01

    Background Several studies have shown that total depressive symptom scores in the general population approximate an exponential pattern, except for the lower end of the distribution. The Center for Epidemiologic Studies Depression Scale (CES-D) consists of 20 items, each of which may take on four scores: “rarely,” “some,” “occasionally,” and “most of the time.” Recently, we reported that the item responses for 16 negative affect items commonly exhibit exponential patterns, except for the level of “rarely,” leading us to hypothesize that the item responses at the level of “rarely” may be related to the non-exponential pattern typical of the lower end of the distribution. To verify this hypothesis, we investigated how the item responses contribute to the distribution of the sum of the item scores. Methods Data collected from 21,040 subjects who had completed the CES-D questionnaire as part of a Japanese national survey were analyzed. To assess the item responses of negative affect items, we used a parameter r, which denotes the ratio of “rarely” to “some” in each item response. The distributions of the sum of negative affect items in various combinations were analyzed using log-normal scales and curve fitting. Results The sum of the item scores approximated an exponential pattern regardless of the combination of items, whereas, at the lower end of the distributions, there was a clear divergence between the actual data and the predicted exponential pattern. At the lower end of the distributions, the sum of the item scores with high values of r exhibited higher scores compared to those predicted from the exponential pattern, whereas the sum of the item scores with low values of r exhibited lower scores compared to those predicted. Conclusions The distributional pattern of the sum of the item scores could be predicted from the item responses of such items. PMID:27806132

  17. Land reclamation beautifies coal mines

    SciTech Connect

    Coblentz, B.

    2009-07-15

    The article explains how the Mississippi Agricultural and Forestry Experiments station, MAFES, has helped prepare land exploited by strip mining at North American Coal Corporation's Red Hills Mine. The 5,800 acre lignite mine is over 200 ft deep and uncovers six layers of coal. About 100 acres of land a year is mined and reclaimed, mostly as pine plantations. 5 photos.

  18. Data Mining in Child Welfare.

    ERIC Educational Resources Information Center

    Schoech, Dick; Quinn, Andrew; Rycraft, Joan R.

    2000-01-01

    Examines the historical and larger context of data mining and describes data mining processes, techniques, and tools. Illustrates these using a child welfare dataset concerning the employee turnover that is mined, using logistic regression and a Bayesian neural network. Discusses the data mining process, the resulting models, their predictive…

  19. Data modeling for virtual observatory data mining

    NASA Astrophysics Data System (ADS)

    Jaenisch, Holger M.; Handley, James; Lim, Albert; Filipovic, Miroslav D.; White, Graeme; Hons, Alex; Deragopian, Gary; Schneider, Mark; Edwards, Matthew

    2004-09-01

    < 869.47 -3.27 41.37 602.25 10053.48 620.0042> We propose a novel approach for index-tagging Virtual Observatory data files with descriptive statistics enabling rapid data mining and mathematical modeling. This is achieved by calculating at data collection time 6 standard moments as descriptive file tags. Data Change Detection Models are derived from these tags and used to filter databases for similar or dissimilar information such as stellar spectra, photometric data, images, and text. Currently, no consistent or reliable method for searching, collating, and comparing 2-D imagery exists. Traditionally, methods used to address these data problems are disparate and unrelated to text data mining and extraction. We explore the use of mathematical Data Models as a unifying tool set for enabling data mining across all data class domains.

  20. Controlling coal mine bumps

    SciTech Connect

    Goode, C.A.; Campoli, A.A.; Zona, A.

    1984-10-01

    A coal bump or burst is defined as the instantaneous violent failure of a coal pillar(s) from overstress. The causes of coal bumps are not well understood, even though minor disturbances are a daily occurrence in bump prone seams. Lack of knowledge about coal bumps coupled with questionable mining practices can create disastrous consequences. Much of the early work on bumps was documented by US Bureau of Mines (BOM) researchers and operators of mines prone to bumps. In 1954 the BOM published Bulletin 535, This study compares recent events with those findings and suggests measures that can be taken to minimize the potential occurrence and severity of coal bumps.