Factor Rotation and Standard Errors in Exploratory Factor Analysis

Guangjian Zhang and Kristopher J. Preacher
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Guangjian Zhang: University of Notre Dame
Kristopher J. Preacher: Vanderbilt University

Journal of Educational and Behavioral Statistics, 2015, vol. 40, issue 6, 579-603

Abstract: In this article, we report a surprising phenomenon: Oblique CF-varimax and oblique CF-quartimax rotation produced similar point estimates for rotated factor loadings and factor correlations but different standard error estimates in an empirical example. Influences of factor rotation on asymptotic standard errors are investigated using a numerical exploration method. The results are (a) CF-varimax, CF-quartimax, CF-equamax, and CF-parsimax produced similar asymptotic standard errors when the factor loading matrix is an independent cluster solution and (b) the four rotation methods produced different asymptotic standard errors when the factor loading matrix has a more complex structure. In addition, properties of the CF family are explored with a full range of κ values.

Keywords: factor analysis; factor loadings; factor rotation; standard error (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:sae:jedbes:v:40:y:2015:i:6:p:579-603

DOI: 10.3102/1076998615606098

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