Summary
Contents
Subject index
This book introduces current perspectives on Rasch measurement theory with an emphasis on developing Rasch-based scales. Rasch measurement theory represents a paradigm shift in measurement theory away from classical test theory and creates a framework for scaling that can yield invariant measurement. Rasch Models for Solving Measurement Problems: Invariant Measurement in the Social Sciences is a broadly accessible text. Authors George Engelhard Jr and Jue Wang introduce Rasch measurement theory step by step, with chapters on scale construction, evaluation, maintenance, and use. Points are illustrated and techniques are demonstrated through an extended example: The Food Insecurity Experience (FIE) Scale. The Rasch analyses in the book are run using the Facets computer program. Facets syntax, and R code for the ERMA program created by the authors to obtain parameter estimates and to examine model-data fit, together with sample data sets are all available on a website for the book.
Introduction
Introduction
Georg Rasch summarized his basic research on measurement in a book entitled Probabilistic Models for Some Intelligence and Attainment Tests (1960/1980). Rasch’s research led to the development of a new paradigm for measurement in the social sciences. As pointed out by van der Linden (2016), the first chapter of Rasch’s book is mandatory reading for anyone seeking to understand the transition from classical test theory (CTT) to item response theory (IRT). Our book focuses on describing Rasch’s theoretical and applied contributions to measurement theory and the use of the Rasch model as a framework for solving a set of important measurement problems. We also stress the continuing relevance of Rasch’s contributions to modern measurement for the social, behavioral, and health sciences.
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