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This introductory text describes the principles of invariant measurement, how invariant measurement can be achieved with Rasch models, and how to use invariant measurement to solve measurement problems in the social, behavioral, and health sciences. Rasch models are used throughout but a comparison of Rasch models to other item response theory (IRT) models is also provided.
Written with students in mind, the manuscript was class tested to help maximize accessibility. Chapters open with an introduction and close with a summary and discussion. Numerous examples and exercises demonstrate the main issues addressed in each chapter. Key terms are defined when first introduced and in an end-of-text glossary. All of the book’s analyses were conducted with the Facets program. The data sets used in the book, sample syntax files for running the Facets program, Excel files for creating item and person response functions, links to related websites, and other material are available at www.GeorgeEngelhard.com.
Highlights include:
A strong philosophical and methodological approach to measurement in the human sciences
Demonstrations of how measurement problems can be addressed using invariant measurement
Practical illustrations of how to create and evaluate scales using invariant measurement
A history of measurement based on test-score and scaling traditions
Previously unpublished work in analyzing rating data, the detection and measurement of rater errors, and the evaluation of rater accuracy
A review of estimation methods, model-data fit, indices used to evaluate the quality of rater-mediated assessments, rater error and bias, and rater accuracy.
Intended as a supplementary text for graduate or advanced undergraduate courses on measurement or test theory, item response theory, scaling theory, psychometrics, advanced measurement techniques, research methods, or evaluation research taught in education, psychology, and the social and health sciences, the book also appeals to practitioners and researchers in these fields who develop or use scales and instruments. Only a basic mathematical level is required including a basic course in statistic.
- Sales Rank: #1484337 in Books
- Brand: Brand: Routledge
- Published on: 2012-12-13
- Original language: English
- Number of items: 1
- Dimensions: 8.80" h x .60" w x 5.90" l, .0 pounds
- Binding: Paperback
- 312 pages
- Used Book in Good Condition
Review
Winner of 2015 Qiyas Award
"Invariant Measurement fills a much needed void in the library of Rasch measurement books. This book is a favorite among Rasch measurement enthusiasts for many reasons, not the least of which is the authors’ use of practical language coupled with a consistent tone. Invariant Measurement, however, is sure to be another favorite in the Rasch measurement anthology as its crisp, clear writing and practical approach will be easily digestible for both measurement experts and curious students alike." - Kenneth D. Royal, University of North Carolina at Chapel Hill
"Professor Engelhard Jr. has long been one of the strongest and most respected and thoughtful measurement specialists in our field. His book on measurement invariance in the social sciences brings great clarity for practitioners to what many have called the cornerstone of item response theory." - Ronald K. Hambleton, Distinguished University Professor, University of Massachusetts - Amherst, USA
"Measurement is fundamental to any scientific research but unless the measures are valid and dependable, the research will be misleading and futile. This book is a must-read for every serious researcher who needs to construct quality measures. It gives a thorough treatment on both the concepts and the methodology of Rasch measurement." - Magdalena M. C. Mok, The Hong Kong Institute of Education, China
"George Engelhard is one of the world’s premier theorists on invariant measurement. … This will be a useful textbook for a graduate course on item response theory as well as a good desk reference for many psychometric researchers and practitioners." -Richard M. Luecht, University of North Carolina – Greensboro, USA
"I found each chapter easy to read and follow. ... [It] includes more authentic examples and supplements which ... make it (in my opinion) more accessible for graduate students." – Jennifer Randall, University of Massachusetts – Amherst, USA
"The conversational tone makes the book … more engaging – as if one were having a conversation with the author. ... I believe readers (particularly graduate students) will find the text engaging." - RJ DeAyala, University of Nebraska- Lincoln, USA
"The project makes a significant contribution to the field of measurement. I know of no other resource that has as their focus the basic concepts and principles of invariant measurement. …I …see this book as useful in introduction to Rasch measurement courses." – Carol Myford, University of Illinois at Chicago, USA
About the Author
George Engelhard, Jr. is a professor of educational measurement and policy in the Division of Educational Studies at Emory University. Professor Engelhard received his Ph.D. from The University of Chicago in the MESA (measurement, evaluation, and statistical analysis) program. Professor Engelhard is co-editor of four books, and the author or co-author of over 125 journal articles, book chapters, and monographs. He serves on national technical advisory committees on educational measurement and policy for several states including Georgia, Louisiana, Michigan, New Jersey, Ohio, Pennsylvania, and Washington. He is a past president of the Georgia Educational Research Association. Professor Engelhard has received numerous awards and fellowships including a National Academy of Education/Spencer Foundation Fellowship Award, a Lilly Post-Doctoral Teaching Award, and a Writing Across the Curriculum Project Award. He is a fellow of the American Educational Research Association.
Most helpful customer reviews
8 of 8 people found the following review helpful.
Great Introduction to Rasch Theory and Invariant Measurements
By Dr. Terrence McGarty
Invariant Measurement, by Englehard, is a very good presentation of all of the elements of the use of mathematical models to reduce information contained in measurements made in the social, behavioral and health sciences into consistent quantitative measures which are in turn amenable to more classic statistical analysis.
I have utilized some of these methods in examining data taken from Health Care questions and specifically for Patient Reported Outcomes, PROs. The specific application of the Rasch method is exceptionally well presented by Englehard; in fact it is one of the best I have seen in the literature of this type.
To paraphrase Rasch, one may look at responses from an individual to say some academic question and one would like to take into account two factors. The level of proficiency of the individual and the complexity of the question asked. This was one of the constructs used by Rasch and it provides a reasonable basis upon which to examine the theory. The goal of taking these measurements and converting them into quantitatively used and repeatable data is to transform the measurements by means of certain metrics into results which can provide consistent and repeatable statistical inferences. Englehard does an exceptionally good job in presenting an overview of how this is accomplished.
Chapter 1 is a general introduction. I found this a bit complex and not as clear as the remainder of the text. The author tries to motivate the remainder of what he develops yet the result is a mass of information which may be a bit more overwhelming than helpful. If one is new to the topic this can be difficult, if one is quite familiar it is redundant.
Chapter 2 is a development of the models with a specific development of the Rasch model. This leads to Chapter 3 which is a focus on Rasch. The logit type construction is a common means to convert measurements into probabilities.
Chapters 4-6 discuss many of the other models and provide a good historical perspective. The presentation is very well ordered and quite clear.
Chapter 7 is superbly done and demonstrates how to calculate the Rasch model from a data set using a maximum likelihood approach. I especially liked the discussion on pp 154-158 and being a simple, precise, clear presentation of the calculations underpinning the application to data.
The remaining chapters examine various applications and build on the historical perspective and the key constructs of the Rasch approach.
The Glossary is a useful addition for those using this as an introduction.
I would strongly recommend this book as the best introduction and presentation of Invariant Measurement principles. It is exceptionally useful for PRO studies in Health Care.
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