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Ulitzsch, Esther; von Davier, Matthias; Pohl, Steffi – Educational and Psychological Measurement, 2020
So far, modeling approaches for not-reached items have considered one single underlying process. However, missing values at the end of a test can occur for a variety of reasons. On the one hand, examinees may not reach the end of a test due to time limits and lack of working speed. On the other hand, examinees may not attempt all items and quit…
Descriptors: Item Response Theory, Test Items, Response Style (Tests), Computer Assisted Testing
Sinharay, Sandip – Educational and Psychological Measurement, 2022
Administrative problems such as computer malfunction and power outage occasionally lead to missing item scores and hence to incomplete data on mastery tests such as the AP and U.S. Medical Licensing examinations. Investigators are often interested in estimating the probabilities of passing of the examinees with incomplete data on mastery tests.…
Descriptors: Mastery Tests, Computer Assisted Testing, Probability, Test Wiseness
Wang, Wen-Chung; Huang, Sheng-Yun – Educational and Psychological Measurement, 2011
The one-parameter logistic model with ability-based guessing (1PL-AG) has been recently developed to account for effect of ability on guessing behavior in multiple-choice items. In this study, the authors developed algorithms for computerized classification testing under the 1PL-AG and conducted a series of simulations to evaluate their…
Descriptors: Computer Assisted Testing, Classification, Item Analysis, Probability
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
Lee, Yi-Hsuan; Ip, Edward H.; Fuh, Cheng-Der – Educational and Psychological Measurement, 2008
Although computerized adaptive tests have enjoyed tremendous growth, solutions for important problems remain unavailable. One problem is the control of item exposure rate. Because adaptive algorithms are designed to select optimal items, they choose items with high discriminating power. Thus, these items are selected more often than others,…
Descriptors: Adaptive Testing, Computer Assisted Testing, Test Items, Test Validity

Roos, Linda L.; And Others – Educational and Psychological Measurement, 1996
This article describes Minnesota Computerized Adaptive Testing Language program code for using the MicroCAT 3.5 testing software to administer several types of self-adapted tests. Code is provided for: a basic self-adapted test; a self-adapted version of an adaptive mastery test; and a restricted self-adapted test. (Author/SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Mastery Tests, Programming

Luecht, Richard M. – Educational and Psychological Measurement, 1987
Test Pac, a test scoring and analysis computer program for moderate-sized sample designs using dichotomous response items, performs comprehensive item analyses and multiple reliability estimates. It also performs single-facet generalizability analysis of variance, single-parameter item response theory analyses, test score reporting, and computer…
Descriptors: Computer Assisted Testing, Computer Software, Computer Software Reviews, Item Analysis

Aiken, Lewis R. – Educational and Psychological Measurement, 1996
This article describes a set of 11 menu-driven procedures written in BASICA for MS-DOS based microcomputers for constructing several types of rating scales, attitude scales, and checklists, and for scoring responses to the constructed instruments. The uses of the program are described in detail. (SLD)
Descriptors: Attitude Measures, Check Lists, Computer Assisted Testing, Computer Software