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Kogut, Jan – 1988
The distribution of a certain item response theory (IRT) based person fit index to identify systematic types of aberrance is discussed. For the Rasch model, it is proved that: (1) the joint distribution of subtest-residuals (the components of the index) is asymptotically multivariate normal; and (2) the distribution of the index is asymptotically…
Descriptors: Ability, Computer Simulation, Foreign Countries, Item Banks

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
Wainer, Howard; And Others – 1991
A series of computer simulations was run to measure the relationship between testlet validity and the factors of item pool size and testlet length for both adaptive and linearly constructed testlets. Results confirmed the generality of earlier empirical findings of H. Wainer and others (1991) that making a testlet adaptive yields only marginal…
Descriptors: Adaptive Testing, Computer Assisted Testing, Computer Simulation, Item Banks

Hambleton, Ronald K.; And Others – Journal of Educational Measurement, 1993
Item parameter estimation errors in test development are highlighted. The problem is illustrated with several simulated data sets, and a conservative solution is offered for addressing the problem in item response theory test development practice. Steps that reduce the problem of capitalizing on chance in item selections are suggested. (SLD)
Descriptors: Computer Simulation, Error of Measurement, Estimation (Mathematics), Item Banks
Hambleton, Ronald K.; Jones, Russell W. – 1993
Errors in item parameter estimates have a negative impact on the accuracy of item and test information functions. The estimation errors may be random, but because items with higher levels of discriminating power are more likely to be selected for a test, and these items are most apt to contain positive errors, the result is that item information…
Descriptors: Computer Simulation, Error of Measurement, Estimation (Mathematics), Item Banks
van der Linden, Wim J.; Adema, Jos J. – 1988
Two optimalization models for the construction of tests with a maximal value of coefficient alpha are given. Both models have a linear form and can be solved by using a branch-and-bound algorithm. The first model assumes an item bank calibrated under the Rasch model and can be used, for instance, when classical test theory has to serve as an…
Descriptors: Algorithms, Computer Simulation, Estimation (Mathematics), Foreign Countries

Wainer, Howard; And Others – Journal of Educational Measurement, 1992
Computer simulations were run to measure the relationship between testlet validity and factors of item pool size and testlet length for both adaptive and linearly constructed testlets. Making a testlet adaptive yields only modest increases in aggregate validity because of the peakedness of the typical proficiency distribution. (Author/SLD)
Descriptors: Adaptive Testing, Comparative Testing, Computer Assisted Testing, Computer Simulation
Eignor, Daniel R.; And Others – 1993
The extensive computer simulation work done in developing the computer adaptive versions of the Graduate Record Examinations (GRE) Board General Test and the College Board Admissions Testing Program (ATP) Scholastic Aptitude Test (SAT) is described in this report. Both the GRE General and SAT computer adaptive tests (CATs), which are fixed length…
Descriptors: Adaptive Testing, Algorithms, Case Studies, College Entrance Examinations