A Sandwich Standard Error Estimator for Exploratory Factor Analysis With Nonnormal Data and Imperfect Models
@article{Zhang2019ASS,
title={A Sandwich Standard Error Estimator for Exploratory Factor Analysis With Nonnormal Data and Imperfect Models},
author={Guangjian Zhang and K. Preacher and Minami Hattori and Ge Jiang and Lauren A. Trichtinger},
journal={Applied Psychological Measurement},
year={2019},
volume={43},
pages={360 - 373}
}This article is concerned with standard errors (SEs) and confidence intervals (CIs) for exploratory factor analysis (EFA) in different situations. The authors adapt a sandwich SE estimator for EFA parameters to accommodate nonnormal data and imperfect models, factor extraction with maximum likelihood and ordinary least squares, and factor rotation with CF-varimax, CF-quartimax, geomin, or target rotation. They illustrate the sandwich SEs and CIs using nonnormal continuous data and ordinal data… CONTINUE READING
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