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Johnson, Timothy R. – Applied Psychological Measurement, 2013
One of the distinctions between classical test theory and item response theory is that the former focuses on sum scores and their relationship to true scores, whereas the latter concerns item responses and their relationship to latent scores. Although item response theory is often viewed as the richer of the two theories, sum scores are still…
Descriptors: Item Response Theory, Scores, Computation, Bayesian Statistics
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Kreiner, Svend – Applied Psychological Measurement, 2011
To rule out the need for a two-parameter item response theory (IRT) model during item analysis by Rasch models, it is important to check the Rasch model's assumption that all items have the same item discrimination. Biserial and polyserial correlation coefficients measuring the association between items and restscores are often used in an informal…
Descriptors: Item Analysis, Correlation, Item Response Theory, Models
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Finkelman, Matthew David – Applied Psychological Measurement, 2010
In sequential mastery testing (SMT), assessment via computer is used to classify examinees into one of two mutually exclusive categories. Unlike paper-and-pencil tests, SMT has the capability to use variable-length stopping rules. One approach to shortening variable-length tests is stochastic curtailment, which halts examination if the probability…
Descriptors: Mastery Tests, Computer Assisted Testing, Adaptive Testing, Test Length
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Christensen, Karl Bang; Kreiner, Svend – Applied Psychological Measurement, 2007
Many statistical tests are designed to test the different assumptions of the Rasch model, but only few are directed at detecting multidimensionality. The Martin-Lof test is an attractive approach, the disadvantage being that its null distribution deviates strongly from the asymptotic chi-square distribution for most realistic sample sizes. A Monte…
Descriptors: Item Response Theory, Monte Carlo Methods, Testing, Models
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Martin, Ernesto San; del Pino, Guido; De Boeck, Paul – Applied Psychological Measurement, 2006
An ability-based guessing model is formulated and applied to several data sets regarding educational tests in language and in mathematics. The formulation of the model is such that the probability of a correct guess does not only depend on the item but also on the ability of the individual, weighted with a general discrimination parameter. By so…
Descriptors: Guessing (Tests), Probability, Mathematics Tests, Language Tests
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Hendrawan, Irene; Glas, Cees A. W.; Meijer, Rob R. – Applied Psychological Measurement, 2005
The effect of person misfit to an item response theory model on a mastery/nonmastery decision was investigated. Furthermore, it was investigated whether the classification precision can be improved by identifying misfitting respondents using person-fit statistics. A simulation study was conducted to investigate the probability of a correct…
Descriptors: Probability, Statistics, Test Length, Simulation
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Quenette, Mary A.; Nicewander, W. Alan; Thomasson, Gary L. – Applied Psychological Measurement, 2006
Model-based equating was compared to empirical equating of an Armed Services Vocational Aptitude Battery (ASVAB) test form. The model-based equating was done using item pretest data to derive item response theory (IRT) item parameter estimates for those items that were retained in the final version of the test. The analysis of an ASVAB test form…
Descriptors: Item Response Theory, Multiple Choice Tests, Test Items, Computation