Generalizability Theory
Generalizability theory (G theory), originally developed by Lee J. Cronbach and his associates, is a measurement theory that provides both a conceptual framework and a set of statistical procedures for a comprehensive analysis of test reliability. Building on and extending classical test theory (CTT) and analysis of variance (ANOVA), G theory provides a flexible approach to modeling measurement error for different measurement conditions and types of decisions made based on test results. This entry introduces the reader to the basics of G theory, starting with the advantages of G theory, followed by key concepts and terms and some illustrative examples representing different G-theory analysis designs.
There are a few approaches to the investigation of test reliability, that is, the consistency of measurement obtained in testing. For ...
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Reader's Guide
Descriptive Statistics
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Graphical Displays of Data
Hypothesis Testing
Important Publications
Inferential Statistics
Item Response Theory
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Reliability of Scores
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Statistical Tests
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