Explaining Psychological Statistics (2 Chapter 13 – Section D F versus Q: Different Approaches to Controlling Type I Errors with Multiple Comparisons

@inproceedings{Cohen2005ExplainingPS,
  title={Explaining Psychological Statistics (2 Chapter 13 – Section D F versus Q: Different Approaches to Controlling Type I Errors with Multiple Comparisons},
  author={Barry H. Cohen},
  year={2005}
}
In section B of this chapter, I mentioned that when using Tukey’s HSD “it is unusual to find a pair of means that are significantly different when the overall ANOVA is not significant” (p. 375; EPS, 2e). However, it is also possible, though unusual, to find no significant differences with the HSD procedure when the ANOVA is significant. Tukey’s HSD is based on a different distribution from the ANOVA, and though it always yields similar results, there is some room for discrepancies with respect… CONTINUE READING
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