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

書誌事項

タイトル別名
  • A LEAST-SQUARES SOLUTION FOR CORRELATION STRUCTURE ANALYSIS WITH FISHER'S Z-TRANSFORMATION

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説明

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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詳細情報 詳細情報について

  • CRID
    1390282680438162432
  • NII論文ID
    130004709330
  • DOI
    10.5926/jjep1953.37.1_67
  • ISSN
    00215015
  • 本文言語コード
    ja
  • データソース種別
    • JaLC
    • Crossref
    • CiNii Articles
  • 抄録ライセンスフラグ
    使用不可

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