Rasch Models for Solving Measurement Problems
Invariant Measurement in the Social Sciences
Series: Quantitative Applications in the Social Sciences; 187;
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Product details:
- Edition number 1
- Publisher SAGE Publications, Inc
- Date of Publication 2 March 2021
- ISBN 9781544363028
- Binding Paperback
- No. of pages144 pages
- Size 215x139 mm
- Language English 232
Categories
Short description:
This book introduces current perspectives on Rasch measurement theory with an emphasis on developing Rasch-based scales. 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.
Long description:
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.
I am impressed that the authors cover so many Rasch measurement topics perfectly in this small book. Specifically, various Rasch-related measurement theories and fundamental knowledge with illustrative analyses in each chapter make this book an extremely useful reference for Rasch researchers and practitioners. Tables and Figures the authors created in this book are extremely helpful to better understand the contents. I will definitely adopt this book as a required reading in my Rasch models course and recommend it to my graduate students and colleagues who are interested in applying Rasch models. More
Table of Contents:
Chapter 1: Introduction
Chapter 2: Constructing a Rasch Scale
Chapter 3: Evaluating a Rasch Scale
Chapter 4: Maintaining a Rasch Scale
Chapter 5: Using a Rasch Scale
Chapter 6: Conclusion
