LOPSIDED REASONING ON LOPSIDED TESTS AND MULTIPLE COMPARISONS

By S. Hurlbert, Celia M. Lombardi. 2012

63 citations recorded by the source corpus.

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/780b29f931b7323929f52f50ae170f35dde53a9d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Statistics and Probability

1. Mark Rubin
2. Richard A. Levine
3. J. Utts
4. S. Hurlbert

Citations in the corpus

• Do p Values Lose Their Meaning in Exploratory Analyses? It Depends How You Define the Familywise Error Rate (2017, background): “…the experimentwise error rate), all of the hypotheses in a collection of articles that address the same issue, or even all of the hypotheses that have been and/or will be conducted by a specific researcher during their career (Hurlbert & Lombardi, 2012; O’Keefe, 2003, 2007; Trafimow & Earp, 2017).”
• Coup de Grâce for a Tough Old Bull: “Statistically Significant” Expires (2019, background): “Many benefits will flow from this practice, as so many other statistical controversies have been driven by the ancient dichotomy (e.g., misuse of one-tailed tests: Lombardi and Hurlbert 2009; irrational advocacy of set-wise Type I error rates: Hurlbert and Lombardi 2012).”