George Engelhard, Jr., Ph.D. joined the faculty at The University of Georgia in the fall of 2013. He is professor emeritus at Emory University (1985 to 2013). Professor Engelhard received his Ph.D. in 1985 from The University of Chicago (MESA Program--measurement, evaluation, and statistical analysis). He is the author of two books: Invariant measurement with raters and rating scales: Rasch models for rater-mediated assessments (2018 with Dr. Stefanie A. Wind) and Invariant measurement: Using Rasch models in the social, behavioral, and health sciences (2013) He is the co-editor of five books, and he has authored or co-authored over 200 journal articles, book chapters, and monographs. Professor Engelhard was a co-editor of the Journal of Educational Measurement. He serves on several national technical advisory committees on educational measurement and policy in several states in the United States. In 2015, he received the first Qiyas Award for Excellence in International Educational Assessment recognizing his contributions to the improvement of educational measurement at the local, national and international levels. He is a fellow of the American Educational Research Association.
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.
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