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Rasch Models for Solving Measurement Problems de George Engelhard

Rasch Models for Solving Measurement Problems: Quantitative Applications in the Social Sciences

Autor George Engelhard, Jue Wang
en Limba Engleză Paperback – 2 mar 2021
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.

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Specificații

ISBN-13: 9781544363028
ISBN-10: 1544363028
Pagini: 144
Dimensiuni: 278 x 273 x 12 mm
Greutate: 0.18 kg
Ediția:1
Editura: Sage Publications, Inc
Seria Quantitative Applications in the Social Sciences

Locul publicării:Thousand Oaks, United States

Recenzii

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.
This book provides an excellent overview of the theory and special procedures that are available for Rasch model applications.
This book provides a concise and yet clear treatment of using Rasch measurement theory in developing and maintaining a scale in the social sciences. The use of a construct map makes for an intuitive understanding of key concepts and procedures such as scale development and measurement invariance.
This book is a must read for anyone who wants to understand how Rasch measurement is much more than a set of statistical models. It is a measurement theory that can help practitioners to achieve their core goals in developing and using scales, and this book details the topics that support such uses of the theory.

Cuprins

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

Notă biografică

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. 

Descriere

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.