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}
}
  • Guangjian Zhang, K. Preacher, +2 authors Lauren A. Trichtinger
  • Published 2019
  • Mathematics, Medicine
  • Applied Psychological Measurement
  • 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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    References

    SHOWING 1-10 OF 29 REFERENCES
    Bootstrap approach to inference and power analysis based on three test statistics for covariance structure models.
    • K. Yuan, K. Hayashi
    • Mathematics, Medicine
    • The British journal of mathematical and statistical psychology
    • 2003
    • 105
    • PDF
    Applications of standard error estimates in unrestricted factor analysis: significance tests for factor loadings and correlations.
    • 187
    Application of the bootstrap methods in factor analysis
    • 74
    The Infinitesimal Jackknife with Exploratory Factor Analysis
    • 8
    Exploratory Structural Equation Modeling
    • 1,483
    • PDF
    Ordinary Least Squares Estimation of Parameters in Exploratory Factor Analysis With Ordinal Data
    • 46
    Standard errors for obliquely rotated factor loadings
    • 65
    Consequences and Detection of Misspecified Nonlinear Regression Models
    • 300
    Alternative Ways of Assessing Model Fit
    • 22,264
    • Highly Influential