Reference Collection to push back against "Common Statistical Myths"

data analysis
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I’m aware of at least three four papers on this topic:

  • Rasch D, Kubinger KD, Moder K (2011): The two-sample t test: pre-testing its assumptions does not pay off. Statistical Papers 52(1): 219-231 (link)
  • Rochon J, Kieser M (2010): A closer look at the effect of preliminary goodness‐of‐fit testing for normality for the one‐sample t‐test. Br J Math Stat Psychol 64: 410-426 (link)
  • Rochon J, Gondan M, Kieser M (2012): To test or not to test: Preliminary assessment of normality when comparing two independent samples. BMC Med Res Methodol 12: 81 (link)
  • Schoder V, Himmelmann A, Wilhelm KP (2006): Preliminary testing for normality: some statistical aspects of a common concept. Clin Exp Dermatol 31: 757-761 (link)
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