Statistical Test Theory for the Behavioral Sciences

This book provides both a broad overview and a critical survey of assorted testing theories and models used in psychology, education, and other behavioral science fields. It explores the relationships and differences between several theories—including classical test, generalizability, and item response—and their applications. The authors present recent developments in testing, such as computerized adaptive testing, and use real data from the areas of psychology and education. The text also includes exercises at the end of each chapter with solutions in an appendix.