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Dickison, Philip; Luo, Xiao; Kim, Doyoung; Woo, Ada; Muntean, William; Bergstrom, Betty – Journal of Applied Testing Technology, 2016
Designing a theory-based assessment with sound psychometric qualities to measure a higher-order cognitive construct is a highly desired yet challenging task for many practitioners. This paper proposes a framework for designing a theory-based assessment to measure a higher-order cognitive construct. This framework results in a modularized yet…
Descriptors: Thinking Skills, Cognitive Tests, Test Construction, Nursing
Ackerman, Terry A.; Davey, Tim C. – 1991
An adaptive test can usually match or exceed the measurement precision of conventional tests several times its length. This increased efficiency is not without costs, however, as the models underlying adaptive testing make strong assumptions about examinees and items. Most troublesome is the assumption that item pools are unidimensional. Truly…
Descriptors: Ability, Adaptive Testing, Computer Assisted Testing, Equations (Mathematics)

Cudeck, Robert – Multivariate Behavioral Research, 1985
Twelve structural models of similarity were fitted to data from conventional and computer adaptive test (CAT) batteries measuring the same aptitude in a double cross-validation design. Three of the 12 models, including a multiplicative structure model, performed well, providing support for using CATs as replacements for conventional tests. (NSF)
Descriptors: Adaptive Testing, Aptitude Tests, Comparative Testing, Computer Assisted Testing
Samejima, Fumiko – 1990
Test validity is a concept that has often been ignored in the context of latent trait models and in modern test theory, particularly as it relates to computerized adaptive testing. Some considerations about the validity of a test and of a single item are proposed. This paper focuses on measures that are population-free and that will provide local…
Descriptors: Adaptive Testing, Computer Assisted Testing, Equations (Mathematics), Item Response Theory
Eignor, Daniel R.; Hambleton, Ronald K. – 1979
The purpose of the investigation was to obtain some relationships among (1) test lengths, (2) shape of domain-score distributions, (3) advancement scores, and (4) several criterion-referenced test score reliability and validity indices. The study was conducted using computer simulation methods. The values of variables under study were set to be…
Descriptors: Comparative Analysis, Computer Assisted Testing, Criterion Referenced Tests, Cutting Scores
Samejima, Fumiko – 1990
This paper is the final report of a multi-year project sponsored by the Office of Naval Research (ONR) in 1987 through 1990. The main objectives of the research summarized were to: investigate the non-parametric approach to the estimation of the operating characteristics of discrete item responses; revise and strengthen the package computer…
Descriptors: Adaptive Testing, Computer Assisted Testing, Distractors (Tests), Equations (Mathematics)
Weiss, David J., Ed. – 1980
This report is the Proceedings of the third conference of its type. Included are 23 of the 25 papers presented at the conference, discussion of these papers by invited discussants, and symposium papers by a group of leaders in adaptive testing and latent trait test theory research and applications. The papers are organized into the following…
Descriptors: Academic Ability, Academic Achievement, Comparative Testing, Computer Assisted Testing
Wainer, Howard; Kiely, Gerard L. – 1986
Recent experience with the Computerized Adaptive Test (CAT) has raised a number of concerns about its practical applications. The concerns are principally involved with the concept of having the computer construct the test from a precalibrated item pool, and substituting statistical characteristics for the test developer's skills. Problems with…
Descriptors: Adaptive Testing, Algorithms, Computer Assisted Testing, Construct Validity
Cliff, Norman; And Others – 1977
TAILOR is a computer program that uses the implied orders concept as the basis for computerized adaptive testing. The basic characteristics of TAILOR, which does not involve pretesting, are reviewed here and two studies of it are reported. One is a Monte Carlo simulation based on the four-parameter Birnbaum model and the other uses a matrix of…
Descriptors: Adaptive Testing, Computer Assisted Testing, Computer Programs, Difficulty Level