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Sedat Sen; Allan S. Cohen – Educational and Psychological Measurement, 2024
A Monte Carlo simulation study was conducted to compare fit indices used for detecting the correct latent class in three dichotomous mixture item response theory (IRT) models. Ten indices were considered: Akaike's information criterion (AIC), the corrected AIC (AICc), Bayesian information criterion (BIC), consistent AIC (CAIC), Draper's…
Descriptors: Goodness of Fit, Item Response Theory, Sample Size, Classification
Zheng, Chunmei – ProQuest LLC, 2013
Educational and psychological constructs are normally measured by multifaceted dimensions. The measured construct is defined and measured by a set of related subdomains. A bifactor model can accurately describe such data with both the measured construct and the related subdomains. However, a limitation of the bifactor model is the orthogonality…
Descriptors: Educational Testing, Measurement Techniques, Test Items, Models
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Qualls, Audrey L. – Applied Measurement in Education, 1995
Classically parallel, tau-equivalently parallel, and congenerically parallel models representing various degrees of part-test parallelism and their appropriateness for tests composed of multiple item formats are discussed. An appropriate reliability estimate for a test with multiple item formats is presented and illustrated. (SLD)
Descriptors: Achievement Tests, Estimation (Mathematics), Measurement Techniques, Test Format
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Hambleton, Ronald K.; De Gruijter, Dato N. M. – Journal of Educational Measurement, 1983
Addressing the shortcomings of classical item statistics for selecting criterion-referenced test items, this paper describes an optimal item selection procedure utilizing item response theory (IRT) and offers examples in which random selection and optimal item selection methods are compared. Theoretical advantages of optimal selection based upon…
Descriptors: Criterion Referenced Tests, Cutting Scores, Item Banks, Latent Trait Theory
Davey, Tim; Pommerich, Mary; Thompson, Tony D. – 1999
In computerized adaptive testing (CAT), new or experimental items are frequently administered alongside operational tests to gather the pretest data needed to replenish and replace item pools. The two basic strategies used to combine pretest and operational items are embedding and appending. Variable-length CATs are preferred because of the…
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Banks, Measurement Techniques
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
Arizona Univ., Tucson. Center for Educational Evaluation and Measurement. – 1984
The Head Start Measures Project was a 3-year study to develop a set of measures designed specifically for Head Start children. The measures are based on a path-referenced approach to assessment, in which children's performance is described in terms of their position along paths of development. A path is defined as a sequence of skills within a…
Descriptors: Achievement Tests, Early Childhood Education, General Science, Language Acquisition
Bejar, Isaac I.; And Others – 1977
Information provided by typical and improved conventional classroom achievement tests was compared with information provided by an adaptive test covering the same subject matter. Both tests were administered to over 700 college students in a general biology course. Using the same scoring method, adaptive testing was found to yield substantially…
Descriptors: Academic Achievement, Achievement Tests, Adaptive Testing, Biology