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Cited by 428

The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.

Reliability of Summed Item Scores Using Structural Equation Modeling: An Alternative to Coefficient Alpha

Green, Samuel B., Yang, Yanyun·2009·Psychometrika
DOI 10.1007/s11336-008-9099-3
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Abstract

A method is presented for estimating reliability using structural equation modeling (SEM) that allows for nonlinearity between factors and item scores. Assuming the focus is on consistency of summed item scores, this method for estimating reliability is preferred to those based on linear SEM models and to the most commonly reported estimate of reliability, coefficient alpha.

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Metadata

Authors
Green, S. B., & Yang, Y.
Venue
Psychometrika
Publisher
Cambridge University Press (CUP)
Published
2009-03
Volume
74
Issue
1
Pages
155-167
ISSN
  • 0033-3123 (ISSN-L)
  • 1860-0980
DOI
10.1007/s11336-008-9099-3
OpenAlex
W2032743311
Cited by
428
References
23
FWCI
7.69
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Reliability of Summed Item Scores Using Structural Equation Modeling: An Alternative to Coefficient Alpha. https://app.cochat.ai/papers/10.1007/s11336-008-9099-3
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Green, S. B., & Yang, Y. (2009). Reliability of Summed Item Scores Using Structural Equation Modeling: An Alternative to Coefficient Alpha. Psychometrika. https://doi.org/10.1007/s11336-008-9099-3

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