Why Summaries of Research on Psychological Theories are Often Uninterpretable
By P. Meehl. 1990
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Citations in the corpus
- Exploratory Factor Analysis: A Guide to Best Practice (2018, background): “155) and, therefore, meaningful testing of theories (Loevinger, 1957; Meehl, 1990).”
- Method Effects, Measurement Error, and Substantive Conclusions (2010, unknown): “…that fear that ‘‘everything correlates to some extent with everything else’’ (Meehl, 1990a, p. 204) because of common method bias (the ‘‘crud factor,’’ Meehl, 1990a, 1990b) may not be so justified after all, despite being repeatedly refueled and fanned by instructors, researchers, reviewers,…”
- Listening and Human Communication in the 21st Century (2011, background): “In fact, as critics of NHST have pointed out, given enough people, virtually any test of significance will likely be deemed statistically significant (Meelh, 1990).”
- Null hypothesis significance testing: a review of an old and continuing controversy. (2000, background): “It is widely agreed, I believe, that when one wants to conclude from the failure of a test to establish statistical significance that there is no effect or that any effect there might be is probably negligibly small, a power analysis should be done if possible (Meehl, 1991; Robinson & Levin, 1997; S”
- Fearing the Future of Empirical Psychology: Bem's (2011) Evidence of Psi as a Case Study of Deficiencies in Modal Research Practice (2011, background): “This is a weak hypothesis because it is almost by definition false: Differences between different populations are inevitable, even if they only reflect ambient noise or “crud” (Lykken, 1968; Meehl, 1990).”
- Default Bayes Factors for Model Selection in Regression (2012, background): “One critique of sig-nificance testing rests on the assumption that point null hypotheses are never true to arbitrary precision (Cohen, 1994; Meehl, 1990).”
- Direct-fit to nature: an evolutionary perspective on biological (and artificial) neural networks (2019, background): “These experimental manipulations are often inspired by our ‘‘folk’’ or phenomenological understanding of the mind, brain, or world and, in turn, yield results reflecting our own assumptions (Meehl, 1990; Rozenblit and Keil, 2002; Jolly and Chang, 2019).”
- The Gaussian Graphical Model in Cross-Sectional and Time-Series Data (2016, background): “This allows us to model conditional associations, which we might expect to be zero, rather than marginal associations, which we rarely expect to be zero (Meehl, 1990).”
- Sensitivity of SEM Fit Indexes With Respect to Violations of Uncorrelated Errors (2012, background): “Meehl, 1990 ), the population factor correlation was set to Φ = .”
- I can see clearly now: Reinterpreting statistical significance (2018, background): “ for a focus on effect sizes and confidence intervals, and point out that null effects that truly have zero magnitude are unrealistic or impossible in most fields outside of the hard physical sciences (Meehl, 1990, Tukey, 1991, Cohen, 1994). Yet, p-values without confidence intervals (or even effect si”