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A Course in Item Response Theory and Modeling with Stata (Paperback)
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A Course in Item Response Theory and Modeling with Stata (Paperback)
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Over the past several decades, item response theory (IRT) and item
response modeling (IRM) have become increasingly popular in the
behavioral, educational, social, business, marketing, clinical, and
health sciences. In this book, Raykov and Marcoulides begin with a
nontraditional approach to IRT and IRM that is based on their
connections to classical test theory, (nonlinear) factor analysis,
generalized linear modeling, and logistic regression.
Application-oriented discussions follow next. These cover the one-,
two-, and three-parameter logistic models, polytomous item response
models (with nominal or ordinal items), item and test information
functions, instrument construction and development, hybrid models,
differential item functioning, and an introduction to
multidimensional IRT and IRM. The pertinent analytic and modeling
capabilities of Stata are thoroughly discussed, highlighted, and
illustrated on empirical examples from behavioral and social
research.
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