Generalizability theory, also called G theory, is a statistical framework, originally introduced by Lee Cronbach, N. Rajaratnam and Goldine Gleser in 1963, for conceptualizing, investigating and designing reliable observations. It is used to determine the reliability, meaning the reproducibility, of measurements taken under specific conditions, and it is particularly useful for assessing the reliability of performance assessments.
Facts
Core ClaimThe reliability of a measurement is decomposed into multiple, separately estimated sources of error called facets (such as person, rater, item and setting), rather than pooled into a single error term as in classical test theory. 1 Sources
1. Wikipedia: Generalizability Theory
Wikimedia FoundationGeneralizability theory, opening paragraph
Generalizability theory, or G theory, is a statistical framework for conceptualizing, investigating, and designing reliable observations.
Generalizability theory, opening paragraph, third sentence
It was originally introduced by Lee Cronbach, N. Rajaratnam, and Goldine Gleser in 1963.
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