Score Reliability : Contemporary Thinking on Reliability Issues

"This is a book that should be on the desk of anyone truly concerned with reliability. The whole question of conditional reliabilities is current and important; and, the question of reliability generalization is being opened out and moving away from Cronbach′s approach. The topic is an important one."

--Richard L. Gorsuch, Director of Research in Graduate School of Psychology, Fuller Theological Seminary

Should a high school diploma be awarded to students based on their score on a final exit exam? Should businesses deny employment to people based on their score on a personality test? In a world of "high stakes" testing, it has become more important than ever to make certain the scores on which we base our decisions are reliable. Aimed at helping researchers create and evaluate scores better, this reader presents the basic concepts of classical (or "true score") and modern ("generalizability") test theory. Beginning with a review of reliability and validity issues in measurement, the book covers score reliability, reliability induction, and reliability generalization. Exercises with sample data are included at the end of each section so readers can demonstrate knowledge of the principles.

About the Author

 

Bruce Thompson is Professor and Distinguished Research Scholar, Department of Educational Psychology, Texas A&M University, and Adjunct Professor of Family and Community Medicine, Baylor College of Medicine (Houston). He is a Fellow of the American Psychological Association and an elected member of the Executive Council of the American Educational Research Association. Thompson is also the editor of the Sage Publications journal Educational and Psychological Measurement.

Bruce Thompson is (a) a former member of the Council of the American Educational Research Association (AERA), (b) a former nominee for AERA President, and (c) a former editor of AERJ:TLHD (as well as 3 other journals, including EPM for 9 years). Bruce is especially known for (a) his work on effect sizes, and (b) his contributions to creating the LibQUAL+(R) protocol, completed in ~20 language variations by more than 1,200,000 academic research library users at more than 1,100 institutions from around the world.