Stata Bookstore: A Course in Item Response Theory and Modeling with Stata
Summary
As an Amazon Associate, StataCorp earns a small referral credit from qualifying purchases made from affiliate links on our site. The authors development of IRT builds on the foundations of classical test theory, nonlinear factor analysis, and generalized linear models. Using these foundational concepts, the authors then explain IRT models, estimation via maximum likelihood, item characteristic curves, and information functions. George A. Marcoulides is Distinguished Professor of Research Methodology in the Department of Education at The Gervitz Graduate School of Education and a member of the Quantitative Methodology in Social Sciences Program at the University of California, Santa Barbara. 8.4 Empirical illustration of item information functions 8.5 Test information function 8.6 Test characteristic curve 8.7 The test characteristic curve as a nonlinear trait or ability score transformation 8.8 Chapter conclusion 9.1 A general approach of item response theory application for multi-item measuring instrument construction 9.2 How to apply Lord’s approach to instrument construction in empirical research 9.3 Examples of target information functions for applications of the outlined procedure for measuring instrument construction 9.4 Assumptions of instrument construction procedure 9.5 Discussion and conclusion 10.1 What is differential item functioning?
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