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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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Tucker et al. (Thu,) studied this question.
www.synapsesocial.com/papers/69d74d415f9a1dad5348fb64 — DOI: https://doi.org/10.1007/bf02291170
Ledyard R Tucker
Charles Lewis
Psychometrika
University of Illinois Urbana-Champaign
University of Illinois System
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