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Raykov, Tenko; Dimitrov, Dimiter M.; Marcoulides, George A.; Harrison, Michael – Educational and Psychological Measurement, 2019
Building on prior research on the relationships between key concepts in item response theory and classical test theory, this note contributes to highlighting their important and useful links. A readily and widely applicable latent variable modeling procedure is discussed that can be used for point and interval estimation of the individual person…
Descriptors: True Scores, Item Response Theory, Test Items, Test Theory
Agnello, Paul – ProQuest LLC, 2018
Pseudowords (words that are not real but resemble real words in a language) have been used increasingly as a technique to reduce contamination due to construct-irrelevant variance in assessments of verbal fluid reasoning (Gf). However, despite pseudowords being researched heavily in other psychology sub-disciplines, they have received little…
Descriptors: Scores, Intelligence Tests, Difficulty Level, Item Analysis
Finch, W. Holmes – Applied Psychological Measurement, 2012
Increasingly, researchers interested in identifying potentially biased test items are encouraged to use a confirmatory, rather than exploratory, approach. One such method for confirmatory testing is rooted in differential bundle functioning (DBF), where hypotheses regarding potential differential item functioning (DIF) for sets of items (bundles)…
Descriptors: Test Bias, Test Items, Statistical Analysis, Models
Luebke, Stephen; Lorie, James – Journal of Applied Testing Technology, 2013
This article is a brief account of the use of Bloom's Taxonomy of Educational Objectives (Bloom, Engelhart, Furst, Hill, & Krathwohl, 1956) by staff of the Law School Admission Council in the 1990 development of redesigned specifications for the Reading Comprehension section of the Law School Admission Test. Summary item statistics for the…
Descriptors: Classification, Educational Objectives, Reading Comprehension, Law Schools
Belov, Dmitry I.; Armstrong, Ronald D. – Educational and Psychological Measurement, 2009
The recent literature on computerized adaptive testing (CAT) has developed methods for creating CAT item pools from a large master pool. Each CAT pool is designed as a set of nonoverlapping forms reflecting the skill levels of an assumed population of test takers. This article presents a Monte Carlo method to obtain these CAT pools and discusses…
Descriptors: Computer Assisted Testing, Adaptive Testing, Item Banks, Test Items

van der Linden, Wim J. – Applied Psychological Measurement, 2000
Presents six computational methods based on mixed-integer programming for assembling tests from a bank with an item-set structure and evaluated these methods using mathematical programming feasibiity and expected solution times. Illustrates these methods with two data sets from the Law School Admission Test. Discusses the best approximations to…
Descriptors: Item Banks, Test Construction, Test Items
Ariel, Adelaide; van der Linden, Wim J.; Veldkamp, Bernard P. – Journal of Educational Measurement, 2006
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…
Descriptors: Item Banks, Simulation, Interaction, Test Construction
van der Linden, Wim J. – 1998
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…
Descriptors: Higher Education, Item Banks, Selection, Test Construction
Reese, Lynda M. – 1999
This study represented a first attempt to evaluate the impact of local item dependence (LID) for Item Response Theory (IRT) scoring in computerized adaptive testing (CAT). The most basic CAT design and a simplified design for simulating CAT item pools with varying degrees of LID were applied. A data generation method that allows the LID among…
Descriptors: College Entrance Examinations, Item Response Theory, Law Schools, Scoring
Reese, Lynda; McKinley, Robert – 1993
In item calibration using LOGIST (M. Wingersky, R. Patrick, and F. Lord, 1987), when the program determines that it cannot accurately estimate the c-parameter for a particular item due to insufficient information at the lower levels of ability, an estimate of the c-parameters, called COMC, is obtained by combining all such items. The purpose of…
Descriptors: College Entrance Examinations, Estimation (Mathematics), Law Schools, Law Students
van der Linden, Wim J.; Veldkamp, Bernard P. – Journal of Educational and Behavioral Statistics, 2004
Item-exposure control in computerized adaptive testing is implemented by imposing item-ineligibility constraints on the assembly process of the shadow tests. The method resembles Sympson and Hetter's (1985) method of item-exposure control in that the decisions to impose the constraints are probabilistic. The method does not, however, require…
Descriptors: Probability, Law Schools, Admission (School), Adaptive Testing
Reese, Lynda M.; Cotter, Ruth Anne – 1994
This report provides a description of the item types that have appeared on the Law School Admission Test (LSAT) from the first administration of the test in February 1948 through 1994. Also included is information related to the General Background and Writing tests that were administered for some time in an afternoon session, but for which…
Descriptors: College Applicants, College Entrance Examinations, Higher Education, Law Schools

Glas, Cees A. W.; van der Linden, Wim J. – Applied Psychological Measurement, 2003
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)
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Banks, Item Response Theory
van der Linden, Wim J.; Veldkamp, Bernard P.; Reese, Lynda M. – 1998
An integer programming approach to item pool design is presented that can be used to calculate an optimal blueprint for an item pool to support an existing testing program. The results are optimal in the sense that they minimize the efforts involved in actually producing the items as revealed by current item writing patterns. Also, an adaptation…
Descriptors: Higher Education, Item Banks, Item Response Theory, Models
Reese, Lynda M. – 1999
This study extended prior Law School Admission Council (LSAC) research related to the item response theory (IRT) local item independence assumption into the realm of classical test theory. Initially, results from the Law School Admission Test (LSAT) and two other tests were investigated to determine the approximate state of local item independence…
Descriptors: College Entrance Examinations, Item Response Theory, Law Schools, Test Construction
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