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 Last 7 days

www.researchgate.net www.researchgate.net

With large sample sizes, both tests are very sensitive to slightest violations and will usually have pvalues below .05, although the data/residuals are sufficiently normally distributed.
The problem with normality tests.

 Oct 2020

statistics.laerd.com statistics.laerd.com

Underlying Assumptions: Normality
Repeated measures anova normality and sphericity

 Sep 2020


Spiegelhalter, D. (2020). Use of “normal” risk to improve understanding of dangers of covid19. BMJ, 370. https://doi.org/10.1136/bmj.m3259


www.reddit.com www.reddit.com

r/BehSciResearch—Summary of first policy problem challenge on BehSciAsk. (n.d.). Reddit. Retrieved June 20, 2020, from https://www.reddit.com/r/BehSciResearch/comments/hc0zy2/summary_of_first_policy_problem_challenge_on/

 Apr 2019

statistics.laerd.com statistics.laerd.com

However, platykurtosis can have a profound effect when your group sizes are small. This leaves you with two options: (1) transform your data using various algorithms so that the shape of your distributions become normally distributed or (2) choose the nonparametric KruskalWallis H Test which does not require the assumption of normality.
ANOVA is robust against violation of normality, but...

 Mar 2019

statistics.laerd.com statistics.laerd.com

Testing for Normality using SPSS Statistics
