A Communication Researchers' Guide to Null Hypothesis Significance Testing and Alternatives.

By Timothy R. Levine, René Weber, Hee Sun Park, Craig R. Hullett. 2008

97 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Social Psychology, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/afddfd38594d450d58abbe8c8282a61133a057e3

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Citations in the corpus

Testing Equivalence in Communication Research: Theory and Application (2012, background): “Equivalence tests are “inferential statistics designed to provide evidence for a null hypothesis” ( Levine, Weber, Park, & Hullett, 2008 , p.”
Fair Statistical Communication in HCI (2016, background): “Methodologists who remain attached to p-values (APA, 2010; Abelson, 1995; Levine et al, 2008b) suggest reporting everything: p-values, point estimates of effect sizes, and their confidence intervals.”
Final Collapse of the Neyman-Pearson Decision Theoretic Framework and Rise of the neoFisherian (2009, background): “…of significance tests by scientists (Grant 1962, Henkel 1976, Oakes 1986, Sedlmeier & Gigerenzer 1989, Cohen 1990, Altman 1991, Inman 1994, Schmidt 1996, Hurlbert 1998, Johnson 1999, Marden 2000, Tryon 2001, Hurlbert & Lombardi 2003, Balluerka et al. 2005, Levine et al. 2008a, b).”
Using Anchor-Based Methods to Determine the Smallest Effect Size of Interest (2019, background): “…in psychology, but in many other quantitative research fields, including organizational research (Cortina & Landis, 2011; Edwards & Berry, 2010), education research (Hill et al., 2008), communication research (Levine et al., 2008), and clinical psychology (Ferguson, 2009; Kazdin, 1999; King, 2011).”
The shifting boxplot. A boxplot based on essential summary statistics around the mean. (2010, background): “Researchers recommend reporting CIs, since they not only give an idea of an experiment’s power (see Loftus, 1996), but also enable one to make inferences about the data (Levine, Weber, Park, & Hullett, 2008).”
A Critical Assessment of Null Hypothesis Significance Testing in Quantitative Communication Research (2008, background): “Hopefully, this essay will provide communication researchers with an understanding of the issues involved in the longstanding but little recognized NHST controversy and, in conjunction with our companion article (Levine et al., 2008), suggest practices that will further scientific progress.”