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Showing 1 to 15 of 28 results Save | Export
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Ong, Yoke Mooi; Williams, Julian; Lamprianou, Iasonas – International Journal of Research & Method in Education, 2013
Researchers interested in exploring substantive group differences are increasingly attending to bundles of items (or testlets): the aim is to understand how gender differences, for instance, are explained by differential performances on different types or bundles of items, hence differential bundle functioning (DBF). Some previous work has…
Descriptors: Mathematics Tests, Gender Differences, Mathematics Instruction, Mathematical Models
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Yildirim, Huseyin H.; Yildirim, Selda – Hacettepe University Journal of Education, 2011
Multivariate matching in Differential Item Functioning (DIF) analyses may contribute to understand the sources of DIF. In this context, detecting appropriate additional matching variables is a crucial issue. This present article argues that the variables which are correlated with communalities in item difficulties can be used as an additional…
Descriptors: Test Bias, Multivariate Analysis, Probability, Regression (Statistics)
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Thissen, David; And Others – Journal of Educational Measurement, 1989
An item response model for multiple-choice items is described and illustrated in item analysis. The model provides parametric and graphical summaries of the performance of each alternative associated with a multiple-choice item. The illustrative application of the model involves a pilot test of mathematics achievement items. (TJH)
Descriptors: Distractors (Tests), Latent Trait Theory, Mathematical Models, Mathematics Tests
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Miller, Timothy R.; Spray, Judith A. – Journal of Educational Measurement, 1993
Presents logistic discriminant analysis as a means of detecting differential item functioning (DIF) in items that are polytomously scored. Provides examples of DIF detection using a 27-item mathematics test with 1,977 examinees. The proposed method is simpler and more practical than polytomous extensions of the logistic regression DIF procedure.…
Descriptors: Discriminant Analysis, Item Bias, Mathematical Models, Mathematics Tests
Luecht, Richard M.; Hirsch, Thomas M. – 1990
The derivation of several item selection algorithms for use in fitting test items to target information functions is described. These algorithms circumvent iterative solutions by using the criteria of moving averages of the distance to a target information function and simultaneously considering an entire range of ability points used to condition…
Descriptors: Ability, Algorithms, College Entrance Examinations, Computer Assisted Testing
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Albert, James H. – Journal of Educational Statistics, 1992
Estimating item parameters from a two-parameter normal ogive model is considered using Gibbs sampling to simulate draws from the joint posterior distribution of ability and item parameters. The method gives marginal posterior density estimates for any parameter of interest, as illustrated using data from a 33-item mathematics placement…
Descriptors: Algorithms, Bayesian Statistics, Equations (Mathematics), Estimation (Mathematics)
DeAyala, R. J.; Koch, William R. – 1987
A nominal response model-based computerized adaptive testing procedure (nominal CAT) was implemented using simulated data. Ability estimates from the nominal CAT were compared to those from a CAT based upon the three-parameter logistic model (3PL CAT). Furthermore, estimates from both CAT procedures were compared with the known true abilities used…
Descriptors: Adaptive Testing, Comparative Testing, Computer Assisted Testing, Computer Simulation
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Wainer, Howard; And Others – Journal of Educational Measurement, 1991
Hierarchical (adaptive) and linear methods of testlet construction were compared. The performance of 2,080 ninth and tenth graders on a 4-item testlet was used to predict performance on the entire test. The adaptive test was slightly superior as a predictor, but the cost of obtaining that superiority was considerable. (SLD)
Descriptors: Adaptive Testing, Algebra, Comparative Testing, High School Students
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Cohen, Allan S.; Kim, Seock-Ho – Applied Measurement in Education, 1992
Studied effects of students' use of calculators with 2 experimental forms of a university mathematics test taken by 765 and 725 college students, respectively. Calculator effects are not found for overall scores but are seen for some individual items. Analysis at the item level makes the actual impact apparent. (SLD)
Descriptors: Calculators, College Students, Educational Technology, Equations (Mathematics)
Bennett, Randy Elliot; And Others – 1991
This study investigated the convergent validity of expert-system scores for four mathematical constructed-response item formats. A five-factor model was proposed comprised of four constructed-response format factors and a Graduate Record Examinations (GRE) General Test quantitative factor. Subjects were drawn from examinees taking a single form of…
Descriptors: College Students, Constructed Response, Correlation, Expert Systems
Adema, Jos J. – 1990
Data banks with items calibrated under an item response model can be used for the construction of tests. Mathematical programming models like the Maximin Model are formulated for computerized item selection from a bank. In this paper, mathematical programming models based on the Maximin Model are proposed for the construction of weakly parallel…
Descriptors: College Entrance Examinations, Computer Assisted Testing, Equations (Mathematics), Foreign Countries
Eignor, Daniel R.; Stocking, Martha L. – 1986
A previous study of pre-equating the Scholastic Aptitude Test (SAT) using item response theory provided unacceptable equating results for SAT-mathematical data. The purpose of this study was to investigate two possible explanations for these unacceptable pre-equating results. Specifically, the calibration process, which made use of the…
Descriptors: College Entrance Examinations, Equated Scores, Higher Education, Latent Trait Theory
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Yamamoto, Kentaro; Mazzeo, John – Journal of Educational Statistics, 1992
The need for scale linking in the National Assessment of Educational Progress (NAEP) is discussed, and the specific procedures used to carry out the linking in the context of the major analyses of the 1990 NAEP mathematics assessment are described. Issues remaining to be addressed are outlined. (SLD)
Descriptors: Comparative Testing, Educational Assessment, Elementary Secondary Education, Equated Scores
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Reckase, Mark D. – 1986
The work presented in this paper defined conceptually the concepts of multidimensional discrimination and information, derived mathematical expressions for the concepts for a particular multidimensional item response theory (IRT) model, and applied the concepts to actual test data. Multidimensional discrimination was defined as a function of the…
Descriptors: College Entrance Examinations, Difficulty Level, Discriminant Analysis, Item Analysis
Howe, Roger; Scheaffer, Richard; Lindquist, Mary – US Department of Education, 2006
This document contains the framework and a set of recommendations for the NAEP 2007 mathematics assessment, which will assess student achievement nationally and state-by-state, as well as in select urban districts, in grades 4 and 8. It includes descriptions of the mathematical content of the test, the types of test questions, and recommendations…
Descriptors: Grade 4, Mathematical Models, National Competency Tests, Mathematics Instruction
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