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Knowing how effective an intervention, treatment, or manipulation is and increasing replication rates: accuracy in parameter estimation as a partial solution to the replication crisis
16 references·3 citing·39 second hop
Knowing how effective an intervention, treatment, or manipulation is and increasing replication rates: accuracy in parameter estimation as a partial solution to the replication crisis (2020)Knowing how effective an intervention, tr…Scientists rise up against statistical significance (2019)Scientists rise up against st…Empirical assessment of published effect sizes and power in the recent cognitive neuroscience and psychology literature (2017)Empirical assessment of publi…A Multilab Preregistered Replication of the Ego-Depletion Effect (2016)A Multilab Preregistered Repl…Estimating the reproducibility of psychological science (2015)Estimating the reproducibilit…A taxonomy of behaviour change methods: an Intervention Mapping approach (2015)A taxonomy of behaviour chang…The New Statistics (2013)The New StatisticsCalculating and reporting effect sizes to facilitate cumulative science: a practical primer for t-tests and ANOVAs (2013)Calculating and reporting eff…At what sample size do correlations stabilize? (2013)At what sample size do correl…The Rules of the Game Called Psychological Science (2012)The Rules of the Game Called …Publication Manual of the American Psychological Association (2011)Publication Manual of the Ame…Publication Manual of the American Psychological Association (2011)Publication Manual of the Ame…Reporting standards for research in psychology: Why do we need them? What might they be? (2008)Reporting standards for resea…A taxonomy of behavior change techniques used in interventions. (2008)A taxonomy of behavior change…G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences (2007)G*Power 3: A flexible statist…Sample Size Requirements for Estimating Pearson, Kendall and Spearman Correlations (2000)Sample Size Requirements for …A power primer. 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References

  • 2007G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences65,813 cited
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  • 2013Calculating and reporting effect sizes to facilitate cumulative science: a practical primer for t-tests and ANOVAs10,259 cited
  • 2015Estimating the reproducibility of psychological science8,516 cited
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  • 2008A taxonomy of behavior change techniques used in interventions.2,524 cited
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760 cited
  • 2008Reporting standards for research in psychology: Why do we need them? What might they be?571 cited
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    • 2020Meaningful change definitions: sample size planning for experimental intervention research24 cited
    • 2021The Regression Trap: Why Regression Analyses Are Not Suitable for Selecting Determinants to Target in Behavior Change Interventions10 cited
    • 2019The Book of Behavior Change7 cited