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Interpretation of empirical results in intervention studies: a commentary and kick-off for discussion
16 references·0 citing·43 second hop
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References

  • 2013Calculating and reporting effect sizes to facilitate cumulative science: a practical primer for t-tests and ANOVAs10,718 cited
  • 1994The earth is round (p < .05).4,014 cited
  • 2013The New Statistics3,229 cited
  • 2017Redefine statistical significance2,771 cited
  • 2011Measurement in Medicine2,327 cited
  • 2009How to Select, Calculate, and Interpret Effect Sizes1,451 cited
  • 2019How Many Participants Do We Have to Include in Properly Powered Experiments? A Tutorial of Power Analysis with Reference Tables1,024 cited
  • 2006Minimal changes in health status questionnaires: distinction between minimally detectable change and minimally important change830 cited
  • 2011A point of minimal important difference (MID): a critique of terminology and methods648 cited
  • 2021Minimal important change (MIC): a conceptual clarification and systematic review of MIC estimates of PROMIS measures579 cited
  • 2018Justify your alpha478 cited
  • 2021Using anchor-based methods to determine the smallest effect size of interest231 cited
  • 2022Replication concerns in sports and exercise science: a narrative review of selected methodological issues in the field107 cited
  • 2021Quo Vadis, Methodology? The Key Role of Manipulation Checks for Validity Control and Quality of Science72 cited

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  • 2022Analysis of 567,758 randomized controlled trials published over 30 years reveals trends in phrases used to discuss results that do not reach statistical significance43 cited
  • 2019Confidence Intervals: Linking Evidence to Practice40 cited
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