Summary
Contents
Subject index
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.
Exploratory and Confirmatory Factor Analysis
Factor analysis can be used to reveal or verify the underlying dimensionality of a newly developed measure. Following administration of the measure to a large sample of respondents, we could examine the dimensionality of our scale through the use of factor analysis. If we were uncertain as to the possible dimensions underlying our scale, exploratory factor analysis (EFA) would be used. However, if we had strong theoretical expectations as to the new measure's dimensionality, then confirmatory factor analysis (CFA) could be applied. By examining how the items that comprise a scale “cluster” together, we may gain an important understanding of our operationalization of the underlying construct we are assessing.
Exploratory Factor Analysis
Do the items in our scale ...
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