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  • 标题:Can Variances of Latent Variables be Scaled in Such a Way That They Correspond to Eigenvalues?
  • 作者:Karl Schweizer ; Stefan Troche ; Siegbert Reiß
  • 期刊名称:International Journal of Statistics and Probability
  • 印刷版ISSN:1927-7032
  • 电子版ISSN:1927-7040
  • 出版年度:2017
  • 卷号:6
  • 期号:6
  • 页码:35
  • DOI:10.5539/ijsp.v6n6p35
  • 出版社:Canadian Center of Science and Education
  • 摘要:

    The paper reports an investigation of whether sums of squared factor loadings obtained in confirmatory factor analysis correspond to eigenvalues of exploratory factor analysis. The sum of squared factor loadings reflects the variance of the corresponding latent variable if the variance parameter of the confirmatory factor model is set equal to one. Hence, the computation of the sum implies a specific type of scaling of the variance. While the investigation of the theoretical foundations suggested the expected correspondence between sums of squared factor loadings and eigenvalues, the necessity of procedural specifications in the application, as for example the estimation method, revealed external influences on the outcome. A simulation study was conducted that demonstrated the possibility of exact correspondence if the same estimation method was applied. However, in the majority of realized specifications the estimates showed similar sizes but no correspondence. 

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