‘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, Fuller Theological Seminary. 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.
Assessing the Reliability of Beck Depression Inventory Scores: Reliability Generalization Across Studies
Assessing the Reliability of Beck Depression Inventory Scores: Reliability Generalization Across Studies[Page 219]
The reliability estimates for the Beck Depression Inventory (BDI) scores across studies were accumulated and summarized in a metaanalysis. Only 7.5% of the articles reviewed reported meaningful reliability estimates, ...