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  • 标题:Robust Promin: a method for diagonally weighted factor rotation
  • 本地全文:下载
  • 作者:Urbano Lorenzo-Seva ; Pere J. Ferrando
  • 期刊名称:Liberabit. Revista de Psicología
  • 印刷版ISSN:1729-4827
  • 电子版ISSN:2223-7666
  • 出版年度:2019
  • 卷号:25
  • 期号:1
  • 页码:99-106
  • DOI:10.24265/liberabit.2019.v25n1.08
  • 出版社:Universidad de San Martín de Porres
  • 摘要:Background: obliqu rotation of factors is usually performed in exploratory factor analysis in order to achieve the best and simplest interpretation of the solution based on the prescribed number of factors.Currently available algorithms, however, do not take into account the fluctuation of the correlations on which the factor solution is based. If such correlations’ stability is low, the rotated solution obtained in a specific sample may substantially differ from the rotated solutions obtained in different samples from the same population. Objetive: the present paper proposes a modified version of the Promin rotation designed to achieve simple and stable rotated solutions through the samples. Conclusions: the usefulness of Robust Promin is illustrated by using an empirical example based on a real dataset. The procedure proposed in this paper has been implemented in the FACTOR factor analysis program version 10.9.
  • 关键词:Oblique rotation; robust factor analysis; exploratory factor analysis; unrestricted factor analysis.
  • 其他关键词:Rotación oblicua; análisis factorial robusto; análisis factorial exploratorio; análisis factorial no restricto.
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