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
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- 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
- E-cigarettes may support smokers with high smoking-related risk awareness to stop smoking in the short run: preliminary results by randomized controlled trial.Masiero, Marianna, Lucchiari, Claudio, Mazzocco, Ketti, Veronesi, Giulia, Maisonneuve, Patrick, Jemos, Costantino, Salè, Emanuela Omodeo, Spina, Stefania, Bertolotti, Raffaella, Pravettoni, Gabriella · 2019 · Nicotine & Tobacco Research
- Inferential and descriptive influences on measures of respiratory sinus arrhythmia: sampling rate, R-wave trigger accuracy, and variance estimates.RINIOLO, TODD, PORGES, STEPHEN W. · 1997 · Psychophysiology
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.