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Cited by 187

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Generalizability in Factorable Domains: "Domain Validity and Generalizability"1

McDonald, Roderick P.·1978·Educational and Psychological Measurement

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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Metadata

Authors
McDonald, R. P.
Venue
Educational and Psychological Measurement
Published
1978-04
Volume
38
Issue
1
Pages
75-79
ISSN
  • 0013-1644 (ISSN-L)
  • 1552-3888
OpenAlex
W2159819294
Cited by
187
References
1
FWCI
0.00
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Generalizability in Factorable Domains: "Domain Validity and Generalizability"1. https://app.cochat.ai/papers/10.1177/001316447803800111
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McDonald, R. P. (1978). Generalizability in Factorable Domains: "Domain Validity and Generalizability"1. Educational and Psychological Measurement. https://doi.org/10.1177/001316447803800111

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.