A more realistic look at the robustness and Type II error properties of the t test to departures from population normality.
Sawilowsky, Shlomo S., Blair, R. Clifford·1992·Psychological Bulletin
Abstract
The Type I and II error properties of the t test were evaluated by means of a Monte Carlo study that sampled 8 real distribution shapes identified by Micceri (1986, 1989) as being representative of types encountered in psychology and education research
Cites (1)
- Consequences of Failure to Meet Assumptions Underlying the Fixed Effects Analyses of Variance and CovarianceGlass, Gene V, Peckham, Percy D., Sanders, James R. · 1972 · Review of Educational Research
Cited by (7)
- The Importance of the Normality Assumption in Large Public Health Data SetsLumley, Thomas, Diehr, Paula, Emerson, Scott, Chen, Lu · 2002 · Annual Review of Public Health
- Using the Student's t-test with extremely small sample sizesde Winter, J.C.F. · 2013 · University of Massachusetts Amherst
- Modern robust statistical methods: An easy way to maximize the accuracy and power of your research.Erceg-Hurn, David M., Mirosevich, Vikki M. · 2008 · American Psychologist
- p -Curve and Effect Size: Correcting for Publication Bias Using Only Significant ResultsSimonsohn, Uri, Nelson, Leif D., Simmons, Joseph P. · 2014 · Perspectives on Psychological Science
- The scientific study of dreams: Neural networks, cognitive development, and content analysis.Domhoff, G. William · 2003
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A more realistic look at the robustness and Type II error properties of the t test to departures from population normality. https://app.cochat.ai/papers/10.1037//0033-2909.111.2.352
- The paper
- Sawilowsky, S. S., & Blair, R. C. (1992). A more realistic look at the robustness and Type II error properties of the t test to departures from population normality. Psychological Bulletin. https://doi.org/10.1037//0033-2909.111.2.352
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