A LEAST-SQUARES SOLUTION FOR CORRELATION STRUCTURE ANALYSIS WITH FISHER'S Z-TRANSFORMATION

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Other Title
  • 相関構造分析におけるフィッシャーのz変換を利用したパラメータ推定法

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The purpose of this study is to propose a least-squares method for parameter estimation using Fisher's z-transformation in correlation structure analysis. An advantage of this method in comparison with the unweighted least squares method (ULS) is that the residuals are normally distributed and their variances are homogeneous. A numerical example is given for factor analysis by using the data of Spearman (1904). Through the results of computer simulations in higher-order factor analysis, this method is shown to have less significant errors of parameter estimates than the ULS.

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Details 詳細情報について

  • CRID
    1390282680438162432
  • NII Article ID
    130004709330
  • DOI
    10.5926/jjep1953.37.1_67
  • ISSN
    00215015
  • Text Lang
    ja
  • Data Source
    • JaLC
    • Crossref
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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