Stephen T. Ziliak and Deirdre N. McCloskey, The cult of statistical significance: how the standard error costs us jobs. justice and lives

By Walter Krämer. Statistical Papers, 2010

605 citations recorded by the source corpus.

Subfields: Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/787211ae63392e75074b25beca6d6314391bee87

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Citations in the corpus

Strengthening statistical usage in marine ecology (2012, background): “…and McCloskey's (2008a) The cult of statistical significance: how the standard error costs us jobs, justice, and lives and earlier papers, and the reaction to them from many fields of research (e.g. Hoover and Siegler, 2008; Miettinen, 2009; Spanos, 2008; but see Ziliak and McCloskey, 2008b).”
Valid P-Values Behave Exactly as They Should: Some Misleading Criticisms of P-Values and Their Resolution With S-Values (2019, background): “…then, the ill effects of Fisher’s usage continue to be seen in the justly maligned cult of null-hypothesis significance testing (NHST) (Ziliak and McCloskey 2008) in which P-values are computed only for hypotheses of no effect, when they should also be given for alternatives of…”
Dissimilarity measures in detrital geochronology (2017, background): “More serious examples of misused statistics are unpowered statistical hypothesis tests (Trafimow and Marks, 2015; Ziliak and McCloskey, 2008), and the misunderstanding that PDPs are the same as KDEs due to their similar appearance (Eqs.”
Cultural Psychology Today: Innovations and Oversights (2009, background): “The cultural nature of the meaning of ‘statistical significance’ has been shown to be one such widespread artifact (Ziliak & McCloskey, 2008).”
Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations (2016, background): “…Cox 1977, 1982; Cox and Hinkley 1974; Freedman et al. 2007; Gibbons and Pratt 1975; Gigerenzer et al. 1990, Ch. 3; Harlow et al. 1997; Hogben 1957; Kaye and Freedman 2011; Morrison and Henkel 1970; Oakes 1986; Pratt 1965; Rothman et al. 2008, Ch. 10; Ware et al. 2009; Ziliak and McCloskey 2008).”
Simple versus complex forecasting: The evidence (2015, neutral): “Ziliak and McCloskey (2008) illustrate the harm caused by statistical significance testing with examples taken from across the sciences.”
Institutional Logics in the Study of Organizations: The Social Construction of the Relationship between Corporate Social and Financial Performance (2011, background): “Although statistical significance tests can be misleading (Cohen, 1994; Harlow, Mulaik & Steiger, 1997; Kline, 2004; Schmidt, 1996; Ziliak & McCloskey, 2008), including in meta-analysis (Hunter & Schmidt, 2004), null-hypothesis significance testing can be applied to the comparison of the observed…”
Explaining the entrepreneurial orientation–performance relationship in emerging economies: The intermediate roles of absorptive capacity and improvisation (2017, neutral): “As indicated by Krueger and Heck (2017: 1), the p-value in itself is not always a useful indicator: BDespite its general usefulness, the p-value cannot bear the full burden of inductive inference; it is but one of several heuristic cues available to the data analyst^ (cf. Ziliak & McCloskey, 2008).”
Bridging Practice and Theory: A Design Science Approach (2009, background): “We have to acknowledge the possibility that theory and practice may be distinct forms of knowledge and that the gap between theory and practice is not one of knowledge transfer; it is more fundamental (Van de Ven & Johnson, 2006; Ziliak & McCloskey, 2008).”
The effects of financialization on investment: evidence from firm-level data for the UK (2018, background): “18 As argued by Ziliak and McCloskey (2008), it is important to address the potential discrepancy between statistical and substantive significance of the estimated elasticities.”
Testing hypotheses via a mixture estimation model (2014, background): “…of one, or comparing the posterior probability P(M1|x) to a bound derived from a 0–1 loss function (or a “golden” bound TESTING AS MIXTURE ESTIMATION 3 like α = 0.05 inspired from frequentist practice (Berger and Sellke, 1987; Berger et al., 1997, 1999; Berger, 2003; Ziliak and McCloskey, 2008).”