Generalizability in Factorable Domains: "Domain Validity and Generalizability"1
1978/04/01 by Roderick P. McDonald · 186 citations
Computer Science · Decision Sciences · Mathematics · Psychology · #Advanced Statistical Modeling Techniques #Artificial intelligence #Computer science #Correlation #Domain (mathematical analysis) #Econometrics #Function (biology) #Generalizability theory #Mathematical analysis #Mathematics #Multi-Criteria Decision Making #Psychology #Psychometric Methodologies and Testing #Selection (genetic algorithm) #Statistics #Test (biology) #Variance (accounting)
paper · doi:10.1177/001316447803800111
published in Educational and Psychological Measurement 38(1), 75-79 (SAGE Publishing)
openalex publication_date 1978/04/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/25
Abstract
It is shown that if a behavior domain can be described by the common factor model with a finite number of factors, the squared correlation between the sum of a selection of items and the domain total score is actually greater than coefficient alpha. Equality is attained only if the selected items are parallel. Generalizability can be correctly assessed as a function of the item uniquenesses and the test variance.
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