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Rupp, Andre A. – International Journal of Testing, 2007
One of the most revolutionary advances in psychometric research during the last decades has been the systematic development of statistical models that allow for cognitive psychometric research (CPR) to be conducted. Many of the models currently available for such purposes are extensions of basic latent variable models in item response theory…
Descriptors: Psychometrics, Research, Models, Item Response Theory
Rupp, Andre A. – International Journal of Testing, 2003
Item response theory (IRT) has become one of the most popular scoring frameworks for measurement data. IRT models are used frequently in computerized adaptive testing, cognitively diagnostic assessment, and test equating. This article reviews two of the most popular software packages for IRT model estimation, BILOG-MG (Zimowski, Muraki, Mislevy, &…
Descriptors: Test Items, Adaptive Testing, Item Response Theory, Computer Software
Peer reviewedRupp, Andre A. – International Journal of Testing, 2002
Presents an overview of a wide range of measurement models currently available to the analyst who needs to make accurate and valid inferences about respondents and stimuli from data. Reviews models with and without predictor variables or observed and latent predictors, as well as parametric and nonparametric models, and models for order-restricted…
Descriptors: Measurement Techniques, Models, Nonparametric Statistics, Predictor Variables
Peer reviewedRupp, Andre A.; Garcia, Paula; Jamieson, Joan – International Journal of Testing, 2001
Combined multiple regression and classification and regression tree (CART) analyses to study the interrelationships of variables that affect the item difficulty of items on tests of second language reading and listening comprehension. Results for 214 computerized items completed by 87 nonnative English speakers show the value of synthesizing…
Descriptors: Adults, Difficulty Level, Language Tests, Limited English Speaking

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