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Using heteroskedasticity-consistent standard error estimators in OLS regression: An introduction and software implementation
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Cited by
Violating the normality assumption may be the lesser of two evils
Knief, U., & Forstmeier, W. (2021) · Behavior Research Methods · doi:10.3758/s13428-021-01587-5 · Cited by 654
Zhang, X., & Zhou, J. (2014) · Organizational Behavior and Human Decision Processes · doi:10.1016/j.obhdp.2014.02.002 · Cited by 361
de Vries, D. A., Peter, J., de Graaf, H., & Nikken, P. (2016) · Journal of Youth and Adolescence · doi:10.1007/s10964-015-0266-4 · Cited by 320
“…because parametric regression-based tests with heteroscedastic data can yield biased and inconsistent standard errors, resulting in Type 1 errors, we also conducted regression analyses with heteroscedasticityconsistent standard errors (hc3) in Stata 12, as recommended by Hayes and Cai (2007).”
MethodHow to address non-normality: a taxonomy of approaches, reviewed, and illustrated
Pek, J., Wong, O., & Wong, A. C. M. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.02104 · Cited by 307
Yan, L., Gan, Y., Ding, X., Wu, J., & Duan, H. (2021) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2020.102328 · Cited by 236
Metadata
- Authors
- Hayes, A. F., & Cai, L.
- Venue
- Behavior Research Methods
- Published
- 2007-11
- Volume
- 39
- Issue
- 4
- Pages
- 709-722
- ISSN
- 1554-351X (ISSN-L)
- 1554-3528
- OpenAlex
- W2032167823
- Cited by
- 1,432
- References
- 1
- FWCI
- 9.91
- Type
- journal article
- Language
- en
- Open access
- bronze
- Licence
- www.springer.com/tdm (tdm)
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