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Reliability of Scales With General Structure: Point and Interval Estimation Using a Structural Equation Modeling Approach

Raykov, Tenko, Shrout, Patrick E.·2002·Structural Equation Modeling: A Multidisciplinary Journal

Abstract

A method for obtaining point and interval estimates of reliability for composites of measures with a general structure is discussed. The approach is based on fitting a correspondingly constrained structural equation model and generalizes earlier covariance structure analysis methods for scale reliability estimation with congeneric tests. The procedure can be used with weighted or unweighted composites, in which the weights need not be known in advance but may be estimated simultaneously. The approach allows one also to obtain an approximate standard error and confidence interval for scale reliability using the bootstrap methodology.

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Metadata

Authors
Raykov, T., & Shrout, P. E.
Venue
Structural Equation Modeling: A Multidisciplinary Journal
Published
2002-04
Volume
9
Issue
2
Pages
195-212
ISSN
  • 1070-5511 (ISSN-L)
  • 1532-8007
OpenAlex
W2071833448
Cited by
283
References
1
FWCI
10.29
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Reliability of Scales With General Structure: Point and Interval Estimation Using a Structural Equation Modeling Approach. https://app.cochat.ai/papers/10.1207/s15328007sem0902_3
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Raykov, T., & Shrout, P. E. (2002). Reliability of Scales With General Structure: Point and Interval Estimation Using a Structural Equation Modeling Approach. Structural Equation Modeling: A Multidisciplinary Journal. https://doi.org/10.1207/s15328007sem0902_3

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.