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Wyse, Adam E.; Albano, Anthony D. – Applied Measurement in Education, 2015
This article used several data sets from a large-scale state testing program to examine the feasibility of combining general and modified assessment items in computerized adaptive testing (CAT) for different groups of students. Results suggested that several of the assumptions made when employing this type of mixed-item CAT may not be met for…
Descriptors: Adaptive Testing, Computer Assisted Testing, Test Items, Testing Programs
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Bandalos, Deborah L.; Enders, Craig K. – Applied Measurement in Education, 1996
Computer simulation indicated that reliability increased with the degree of similarity between underlying and observed distributions when the observed categorical distribution was deliberately constructed to match the shape of the underlying distribution of the trait being measured. Reliability also increased with correlation among variables and…
Descriptors: Computer Simulation, Correlation, Likert Scales, Reliability
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Hambleton, Ronald K.; Jones, Russell W. – Applied Measurement in Education, 1994
The impact of capitalizing on chance in item selection on the accuracy of test information functions was studied through simulation, focusing on examinee sample size in item calibration and the ratio of item bank size to test length. (SLD)
Descriptors: Computer Simulation, Estimation (Mathematics), Item Banks, Item Response Theory
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Barnes, Laura L. B.; Wise, Steven L. – Applied Measurement in Education, 1991
One-parameter and three-parameter item response theory (IRT) model estimates were compared with estimates obtained from two modified one-parameter models that incorporated a constant nonzero guessing parameter. Using small-sample simulation data (50, 100, and 200 simulated examinees), modified 1-parameter models were most effective in estimating…
Descriptors: Ability, Achievement Tests, Comparative Analysis, Computer Simulation
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De Ayala, R. J.; And Others – Applied Measurement in Education, 1992
A study involving 1,000 simulated examinees compared the partial credit and graded response models in computerized adaptive testing (CAT). The graded response model fit the data well and provided slightly more accurate ability estimates than those of the partial credit model. Benefits of polytomous model-based CATs are discussed. (SLD)
Descriptors: Adaptive Testing, Comparative Analysis, Computer Assisted Testing, Computer Simulation
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Kennedy, Peter; Walstad, William B. – Applied Measurement in Education, 1997
The consequences in terms of misclassifications of students that would occur by replacing the constructed-response portion of the Advanced Placement (AP) examinations in economics with more multiple-choice items were studied. The 1991 AP examinations in micro- and macroeconomics were used. Computer simulation found that a small but statistically…
Descriptors: Classification, College Entrance Examinations, Computer Simulation, Constructed Response