Any item response theory (IRT) researcher or practitioner will find something of interest in this book, which covers a broad range of topics in essays by well-known researchers. Chapters are organized into sections devoted to parametric and nonparametric IRT topics. (SLD).
Six Item Response Theory based domain score estimation methods were evaluated, under conditions of few items per content area perform taken, small domains, and small group sizes.
Rubin D.B., Thomas N. (2001) Using Parameter Expansion to Improve the Performance of the EM Algorithm for Multidimensional IRT Population-Survey Models. In: Boomsma A., van Duijn M.A.J., Snijders T.A.B. (eds) Essays on Item Response Theory.
Item Response Theory: What It Is and How You Can Use the IRT Procedure to Apply It Xinming An and Yiu-Fai Yung, SAS Institute Inc. ABSTRACT Item response theory (IRT) is concerned with accurate test scoring and development of test items. You design test items to measure various kinds of abilities (such as math ability), traits (such as.
Essays on Item Response Theory by Boomsma, A. and Van Duijn, M. and Snijders, T. A. B. available in Trade Paperback on Powells.com, also read synopsis and reviews. This collection of papers provides an up to date treatment of item response theory, an important.
Many instruments in HealthMeasures are based on item response theory (IRT). IRT is a family of mathematical models that assumes that responses on a set of items or questions are related to an unmeasured “trait”. An example of such a trait may be physical function. IRT models assume a person’s level on physical function (e.g., high vs. low.
Item response theory (IRT), also known as latent trait theory or modern mental test theory; is a relatively new approach to psychometric test design. Whereas classical test theory focuses on the test as a whole, item response theory shifts its focus to the individual items (questions) themselves.
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