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A Reliability Coefficient for Maximum Likelihood Factor Analysis

Ledyard R Tucker; Charles Lewis · Psychometrika · 1973

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Maximum likelihood factor analysis provides an effective method for estimation of factor matrices and a useful test statistic in the likelihood ratio for rejection of overly simple factor models. A reliability coefficient is proposed to indicate quality of representation of interrelations among attributes in a battery by a maximum likelihood factor analysis. Usually, for a large sample of individuals or objects, the likelihood ratio statistic could indicate that an otherwise acceptable factor model does not exactly represent the interrelations among the attributes for a population. The reliability coefficient could indicate a very close representation in this case and be a better indication as to whether to accept or reject the factor solution.

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APA 7

Tucker, L. R. & Lewis, C. (1973). A Reliability Coefficient for Maximum Likelihood Factor Analysis. https://doi.org/10.1007/bf02291170

MLA

Tucker, Ledyard R, and Charles Lewis. "A Reliability Coefficient for Maximum Likelihood Factor Analysis." 1973. https://doi.org/10.1007/bf02291170.

Chicago

Tucker, Ledyard R and Charles Lewis. 1973. "A Reliability Coefficient for Maximum Likelihood Factor Analysis.". https://doi.org/10.1007/bf02291170.

Harvard

Tucker, L. R. and Lewis, C. 1973, A Reliability Coefficient for Maximum Likelihood Factor Analysis, Psychometrika, available at: https://doi.org/10.1007/bf02291170 [Accessed 8 Aug. 2026].

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Title
A Reliability Coefficient for Maximum Likelihood Factor Analysis
Author / contributors
Ledyard R Tucker; Charles Lewis
Publisher
Psychometrika
Publication year
1973
Language
English

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