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.

Combining Predictors Using Multiple Regression
Combining predictors using multiple regression

In Module 7, we said that evidence of criterion-related validity is examined by correlating test scores with corresponding criterion scores. If the test is sufficiently related to the criterion of interest, regression can later be used to predict criterion scores in a sample of people for whom we have no actual criterion values, as long as the sample is drawn from the same population used in the original validation study. Obviously, the stronger the relationship between our test and the criterion, the more accurate will be our predicted criterion score. If a test is used in this way to predict a criterion score, the test is often referred to as a predictor. In most cases, however, ...

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