Time for some a priori thinking about post hoc testing

By Graeme D. Ruxton, G. Beauchamp. 2008

597 citations recorded by the source corpus.

Subfields: Developmental and Educational Psychology, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/5f6e8ebb70687bf496141c41128293971ea5c003

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In Developmental and Educational Psychology

In Statistics and Probability

Citations in the corpus

There Are Plenty of Fish in the Sea: The Effects of Choice Overload and Reversibility on Online Daters’ Satisfaction With Selected Partners (2017, background): “…used planned contrasts, rather than interaction effects, because they allow us to ask more precise questions (i.e., if there is a difference between only one group and all of the others) and have more power in detecting differences (Abdi & Williams, 2010; Ruxton & Beauchamp, 2008; Thompson, 1990).”
Ecological correlates of dispersal distance in terrestrial mammals (2013, methodology): “sex, taxonomic orders, locomotion, diet, geographic range mean latitude, habitat breadth, territorial and social behaviour) on the regressions and Scheffe’s post hoc test was used to test differences among subcategories (Ruxton and Beauchamp, 2008).”
Stress and Coping Patterns of University Students (2019, methodology): “Scheffe post hoc comparisons were conducted to assess the differences observed between the programs, as this analysis allows for uneven sample sizes across groups (Ruxton & Beauchamp, 2008).”
False discovery rate control is a recommended alternative to Bonferroni-type adjustments in health studies. (2014, methodology): “When considering a multiple-test adjustment, a common recommendation is to apply the adjustment to unplanned tests, but use unadjusted significance levels for planned tests [5,23,24].”
A parasite in wolf's clothing: hawk mimicry reduces mobbing of cuckoos by hosts (2011, methodology): “We used planned comparisons (Ruxton and Beauchamp 2008) to test our prediction that barring reduced host aggression within the 3 mount species.”
Some suggestions about appropriate use of the Kruskal–Wallis test (2008, methodology): “…online 10 June 2008; MS. number: D-08-00178) Keywords: analysis of variance; ANOVA; heteroscedasticity; nonparametric; stochastic homogeneity; robust testing In behavioural research, analysis of variance (ANOVA) remains a popular statistical technique (see the survey of Ruxton & Beauchamp 2008).”