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Woods, Carol M. – Applied Psychological Measurement, 2008
In Ramsay-curve item response theory (RC-IRT), the latent variable distribution is estimated simultaneously with the item parameters. In extant Monte Carlo evaluations of RC-IRT, the item response function (IRF) used to fit the data is the same one used to generate the data. The present simulation study examines RC-IRT when the IRF is imperfectly…
Descriptors: Simulation, Item Response Theory, Monte Carlo Methods, Comparative Analysis
Nering, Michael L., Ed.; Ostini, Remo, Ed. – Routledge, Taylor & Francis Group, 2010
This comprehensive "Handbook" focuses on the most used polytomous item response theory (IRT) models. These models help us understand the interaction between examinees and test questions where the questions have various response categories. The book reviews all of the major models and includes discussions about how and where the models…
Descriptors: Guides, Item Response Theory, Test Items, Correlation
Hart, Robert S. – 1994
This guide to ERRATA, a set of HyperCard-based tools for response analysis and error diagnosis in language testing, is intended as a user manual and general reference and designed to be used with the software (not included here). It has three parts. The first is a brief survey of computational techniques available for dealing with student test…
Descriptors: Authoring Aids (Programming), Comparative Analysis, Computer Software, Data Processing
Jacobs, Lucy Cheser; Chase, Clinton I. – 1992
This book offers specific how-to advice to college faculty on every stage of the testing process, including planning the test and classifying objectives to be measured, ensuring the validity and reliability of the test, and grading in such a way as to arrive at fair grades based on relevant data. The book examines the strengths and weaknesses of…
Descriptors: Cheating, College Faculty, Comparative Analysis, Computer Assisted Testing