Measurement Theory in Action: Case Studies and Exercises comprises twenty modules, each corresponding to entire chapters in typical measurement theory texts. The modules begin with introductory concepts and a review of statistics; progress through conceptions of content, criterion-related, and construct validation, validity generalization and test-bias; and conclude with more advanced topics such as multiple regression and item response theory (IRT). Each module is composed of an overview, case studies, exercises, Internet references, and suggested further readings. An extensive glossary of key terms is also provided for quick reference. An Instructor's Resources CD containing exercises and assignments is also available.
Statistics Review for Psychological Measurement
If you have already taken a statistics class, you probably spent a good portion of the term on statistical significance testing, learning about t tests, analysis of variance (ANOVA), and other such statistical tests. If you dreaded that part of your statistics class, you are in luck because in applied psychological measurement we typically do little in the way of statistical significance testing. Instead, we tend to focus on either descriptive statistics or estimation. For those of you who have not had an introductory statistics class or who have but are in need of a refresher, an abbreviated review follows. However, please see the Further Readings and the Internet Web Site References listed at the end ...