延長因子分析の方法論 －変数と因子との相関係数として定義される因子構造を用いて－

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  • エンチョウ インシ ブンセキ ノ ホウホウロン : ヘンスウ ト インシ ト ノ ソウカン ケイスウ ト シテ テイギ サレル インシ コウゾウ オ モチイテ
  • Methodology of Extension Factor Analysis: Using the factor structure defined as the correlations between variables and factors

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In this note three kinds of the extension factor analysis were reviewed focusing on the term of the factor structure: The correlations between extended variables and factor score estimates (Dwyer, 1937; Mosier, 1938; Horn, 1973), the decomposition method of correlations among variables and factors (Gorsuch, 1997) adapting the regression component analysis (Schönemann & Steiger, 1976), and the measurement model of structural equation modeling adding the extension variables. These methods were discussed relating to the terminology of factor analysis such as the factor loading, the factor pattern, and the factor structure. The application of the extension factor analysis to evaluate the results of the item parceling constructed for the observed variables in the factor analysis or structural equation modeling was also mentioned. The R-scripts of the Gram-Schmidt triangular decomposition for the Gorsuch’ s extension method was also presented.

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