A Linear Logistic Multidimensional Model for Dichotomous Item Response Data

  • Reckase M
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Abstract

The chapters of Volume Three review several applications of IRT to the daily practice of testing. Although each of the chosen topics in the areas of item calibration and analysis, person fit and scoring, and test design have ample resources in the larger literature on test theory, the current chapters exclusively highlight the contributions IRT has brought to them. This volume also offers chapters with reviews of how IRT has advanced areas such as large-scale educational assessments, psychological testing, cognitive diagnosis, health measurement, marketing research, or the more general area of measurement of change. The volume concludes with an extensive review of computer software programs available for running any of the models and applications in Volumes One and Three.

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Reckase, M. D. (1997). A Linear Logistic Multidimensional Model for Dichotomous Item Response Data. In Handbook of Modern Item Response Theory (pp. 271–286). Springer New York. https://doi.org/10.1007/978-1-4757-2691-6_16

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