Estimating confidence intervals for eigenvalues in exploratory factor analysis.

  title={Estimating confidence intervals for eigenvalues in exploratory factor analysis.},
  author={Ross Larsen and Russell T. Warne},
  journal={Behavior research methods},
  volume={42 3},
Exploratory factor analysis (EFA) has become a common procedure in educational and psychological research. In the course of performing an EFA, researchers often base the decision of how many factors to retain on the eigenvalues for the factors. However, many researchers do not realize that eigenvalues, like all sample statistics, are subject to sampling error, which means that confidence intervals (CIs) can be estimated for each eigenvalue. In the present article, we demonstrate two methods of… CONTINUE READING
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