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Cited by 438

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Coefficient Alpha and Composite Reliability With Interrelated Nonhomogeneous Items

Raykov, Tenko·1998·Applied Psychological Measurement

Abstract

The relationship between Cronbach's coefficient alpha (a) and the reliability of a composite of a prespecified set of interrelated nonhomogeneous components is examined. It is shown that a can over- or underestimate scale reliability at the population level. The bias is expressed in terms of structural parameters and illustrated on simulated data. The relevance of substantive considerations about, and examination of, the latent structure of an item set prior to estimation of composite reliability using at is emphasized and demonstrated using a structural equation modeling approach.

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Metadata

Authors
Raykov, T.
Venue
Applied Psychological Measurement
Published
1998-12
Volume
22
Issue
4
Pages
375-385
ISSN
  • 0146-6216 (ISSN-L)
  • 1552-3497
OpenAlex
W2033119984
Cited by
438
References
2
FWCI
3.58
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Coefficient Alpha and Composite Reliability With Interrelated Nonhomogeneous Items. https://app.cochat.ai/papers/10.1177/014662169802200407
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Raykov, T. (1998). Coefficient Alpha and Composite Reliability With Interrelated Nonhomogeneous Items. Applied Psychological Measurement. https://doi.org/10.1177/014662169802200407

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

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