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.

Response Biases
Response biases

Whenever we administer a psychological test, we hope to obtain reliable individual differences on the measure. Without reliable individual differences, the measure is of little use to us in predicting our outcome of interest. Sometimes, however, we find little, if any, difference between test takers’ responses. Other times we may have substantially more variability in responses than we would expect based on previous administrations of the same or similar tests to comparable participants. In either possible scenario, we would want to determine why we obtained such different results than we had expected. There are a variety of reasons the results may be different than anticipated. In this module, we will discuss possible response biases that may influence the variability in test scores ...

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