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Some Criteria for Variable Selection in Factor Analysis

Behaviormetrika volume 10, pages 31–45 (1983)Cite this article

Abstract

Four criteria are proposed for variable selection in factor analysis. Three are introduced from the viewpoint to make the configurations of the true factor scores F and the estimated factor scores F(m) as close as possible. The remaining one comes from the maximization of the variance-covariance matrix due to regression of F on the variables X(m). The relationship among the four criteria and the generalized coefficient of determination (GCD) proposed by Yanai (1980) is discussed. The performances are investigated through the analyses of two sets of real data. As variable selection procedures we propose the forward selection procedure as well as the backward elimination procedure.

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Authors and Affiliations

  1. College of Liberal Arts and Sciences, Okayama University, 2-1-1 Tsushima-naka, Okayama, 700, Japan

    Yutaka Tanaka

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  1. Yutaka Tanaka
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Tanaka, Y. Some Criteria for Variable Selection in Factor Analysis. Behaviormetrika 10, 31–45 (1983). https://doi.org/10.2333/bhmk.10.13_31

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  • DOI: https://doi.org/10.2333/bhmk.10.13_31

Key Words and Phrases

  • variable selection
  • factor analysis
  • configuration of factor scores
  • forward selection
  • backward elimination