The Historical Growth of Statistical Significance Testing in Psychology--and Its Future Prospects.

By R. Hubbard, Patricia A. Ryan. 2000

107 citations recorded by the source corpus.

Subfields: Experimental and Cognitive Psychology

View Paper: https://www.semanticscholar.org/paper/68d21d7e19cff187ad9510dc31153b6f0298121a

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In Experimental and Cognitive Psychology

Citations in the corpus

STATISTICAL COGNITION: TOWARDS EVIDENCE-BASED PRACTICE IN STATISTICS AND STATISTICS EDUCATION (2008, methodology): “NHST in its contemporary form (a hybrid of two schools of thought, one associated with Fisher, the other with Neyman and Pearson) was gradually applied in empirical research from 1940 (Hubbard & Ryan, 2000).”
Significance tests as sorcery: Science is empirical—significance tests are not (2012, unknown): “…1987, 1993, 2004; Gigerenzer et al., 1989; Gill, 1999; Granaas, 2002; Greenwald, 1975; Hubbard & Armstrong, 2006; Hubbard & Lindsay, 2008; Hubbard & Ryan, 2000; Jones & Tukey, 2000; Kirk, 1996, 2003; Lindsay, 1995; Lykken, 1968, 1991; Meehl, 1967, 1978, 1990; Nunnally, 1960; Rosnow &…”
Significance Tests Harm Progress in Forecasting (2007, unknown): “While only about 10% of empirical papers published in psychology journals included such tests in the early 1900s, this grew to over 90% by 1970 (Hubbard & Ryan 2000).”
Why P Values Are Not a Useful Measure of Evidence in Statistical Significance Testing (2008, unknown): “Despite the advantages in using CIs over p values, reforms in statistical practice in psychology have been problematic (Hubbard & Ryan, 2000).”
Effect-Size Measures and Meta-Analytic Thinking in Counseling Psychology Research (2006, background): “For example, Hubbard and Ryan (2000) observed that the null hypothesis significance test (NHST) was the analytic approach of choice in a historical review of 12 American Psychological Association (APA) journals. Historical use notwithstanding, researchers often misunderstand or misinterpret NHSTs (N”
Customer-Centric Science: Reporting Significant Research Results With Rigor, Relevance, and Practical Impact in Mind (2010, methodology): “Using conventional cutoffs provide the illusion of an objective value against which to evaluate the veracity of the null hypothesis rather than using a researcher’s subjective judgment and, therefore, ‘‘makes life tidier’’ (Hubbard & Ryan, 2000).”