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.

Test Bias and Unfairness
Test bias and unfairness

As we noted in Module 1, applied psychological testing is as much a political process as it is a psychometric one. Not surprisingly, then, accusations of test bias and unfairness surface on a predictable basis whenever a test is used to make an important decision affecting people's lives. Some laypeople have used the terms test bias and test fairness interchangeably. However, a series of articles from the professional testing literature of the late 1960s and early 1970s clearly distinguish the two concepts. Test bias is a technical psychometric issue that focuses on statistical prediction, while test fairness is a sociopolitical issue that focuses on test outcomes. The concept of test bias has been operationalized in several ways (including ...

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