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.
表中的内容
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
关于作者
Jue Wang, Ph.D. is an assistant professor in Research, Measurement & Evaluation Program at The University of Miami. Dr. Wang received her Ph.D. in Quantitative Methodology (QM) Program under Educational Psychology at The University of Georgia (UGA) in 2018. She also obtained a M.S. degree in Statistics at UGA. While at UGA, Dr. Wang was awarded the Owen Scott Doctoral Research Scholarship in 2016 recognizing the contribution of her research work on evaluating rater accuracy and perception using Rasch measurement theory. Furthermore, she received the QM Outstanding Student Award in 2018 recognizing her accomplishments in research, teaching, and service during graduate school. Her research focuses on examining rating quality and exploring rater perception in rater-mediated assessments using measurement models, such as a family of Rasch models, unfolding models, and multilevel item response models. She has published in major journals related to measurement including Educational and Psychological Measurement, Journal of Educational Measurement, Assessing Writing, and Psychological Test and Assessment Modeling.
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