Grounded in current knowledge and professional practice, this book provides up-to-date coverage of psychometric theory, methods, and interpretation of results. Essential topics include measurement and statistical concepts, scaling models, test design and development, reliability, validity, factor analysis, item response theory, and generalizability theory. Also addressed are norming and test equating, topics not typically covered in traditional psychometrics texts. Examples drawn from a dataset on intelligence testing are used throughout the book, elucidating the assumptions underlying particular methods and providing SPSS (or alternative) syntax for conducting analyses. The companion website presents datasets for all examples as well as PowerPoints of figures and key concepts. Pedagogical features include equation boxes with English translations of all statistical notation and end-of-chapter glossaries. The Appendix offers extensions of the topical chapters with example source code from SAS, SPSS, IRTPRO, BILOG-MG, PARSCALE, TESTFACT, and DIMTEST. Reviews: “An encyclopedia of psychometric issues—a real 'must have' for anyone teaching Tests and Measurement or Research Methods or directing student research projects. The book's high level of detail makes it invaluable for any professional who works with, creates, or analyzes psychometric material. The use of intelligence testing data throughout the chapters helps bring cohesiveness.” —John Wallace, PhD, Department of Psychological Science, Ball State University “This book is both comprehensive and accessible, laying the foundation for all the requisite skills needed to be both a successful consumer and producer of psychometrics. Scholars who are unfamiliar with measurement could easily teach themselves from this text, becoming quite proficient at psychometrics. There is excellent integration of quantitative statistics throughout, so that readers will be able not only to understand the psychometric concepts, but also to apply their knowledge. This is a useful text for a graduate-level Psychometric Methods or Measurement class.” —Debbie L. Hahs-Vaughn, PhD, Department of Educational and Human Sciences, University of Central Florida “I encourage all psychologists and educators to read this marvelous book. I learned a lot from reading it. The key terms are very useful, as are the chapter summaries. Readers of all levels will find material relevant to them, including SPSS code and Gf/Gc datasets on intelligence that will be quite useful in trying out the ideas. I give this book my highest recommendation and think it will be a great classroom text.” —John J. McArdle, PhD, Department of Psychology, University of Southern California About the Author: Larry R. Price, PhD, is Professor of Psychometrics and Statistics at Texas State University, where he is also Director of the Initiative for Interdisciplinary Research Design and Analysis. This university-wide role involves conceptualizing and writing the analytic segments of large-scale competitive grant proposals in collaboration with interdisciplinary research teams. Previously, he served as a psychometrician and statistician at the Emory University School of Medicine (Department of Psychiatry and Behavioral Sciences) and at the Psychological Corporation (now part of Pearson's Clinical Assessment Group). Dr. Price is a Fellow of the American Psychological Association, Division 5 (Evaluation, Measurement, and Statistics), and an Accredited Professional Statistician of the American Statistical Association. |