The Difference between Significant and Non-significant

By Y. Hatori. 2017

117 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/b52d3b59604ed221a0612ad758c20fc1748e9451

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Citations in the corpus

Is psychology suffering from a replication crisis? What does "failure to replicate" really mean? (2015, result): “It is tempting to infer that the studies have produced truly different results and to begin the search for possible moderators, but as Gelman and Stern (2006) have pointed out, such an inference is often misguided. The fact that one study produces a significant effect while the other fails to produc”
Gender and international diversity improves equity in peer review (2018, background): “707 Along these lines, the reliance on statistical tests with arbitrary significance thresholds may 708 provide misleading results (see [107]), or obfuscate statistically weak but potentially important 709 relationships.”
Life After NHST: How to Describe Your Data Without “p-ing” Everywhere (2015, result): “…likely to also result in a rejection of the null hypothesis (e.g., Tversky & Kahneman, 1971); and (c) a difference in statistical conclusions across two analyses means that the effects in the two analyses were statistically significantly different from one another (e.g., Gelman & Stern, 2006).”
Big data, bigger dilemmas: A critical review (2015, background): “A similar question arises with regard to the “output,” so to speak, in the form of a longstanding debate over the value of significance tests (e.g., Gelman & Stern, 2006; Gliner, Leech, & Morgan, 2002; Goodman, 1999, 2008; Nieuwenhuis, Forstmann, & Wagenmakers, 2011).”
Editorial: Enhancing quantitative theory-testing entrepreneurship research (2019, methodology): “Supporting our hypotheses then is simply one of statistical—not practical—significance, and typically with a p .05 standard for rejecting the null hypothesis using frequentist statistics and inference based on the p-value (Gelman and Stern, 2006).”
The seven sins of L2 research: A review of 30 journals’ statistical quality and their CiteScore, SJR, SNIP, JCR Impact Factors (2019, background): “In fact, even if one coefficient were significant and the other were not, this would not be sufficient to conclude that the difference between them would also be significant (see Gelman & Stern, 2006).”