Book Review: Beyond Significance Testing: Reforming Data Analysis Methods in Behavioral Research
By R. Henson. 2006
96 citations recorded by the source corpus.
Subfields: Experimental and Cognitive Psychology, Management Science and Operations Research, Social Psychology
View Paper: https://www.semanticscholar.org/paper/44ff983a84611369693636e92a19c276cbb71c90
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Experimental and Cognitive Psychology
In Management Science and Operations Research
- Tore Dybå
- S. Finch
- Geoff Cumming
- John Ruscio
- Maik C. Stüttgen
- Dag I.K. Sjøberg
- H. Hentschke
- Daniël Lakens
In Social Psychology
- Tore Dybå
- S. Finch
- Geoff Cumming
- John Ruscio
- Maik C. Stüttgen
- Dag I.K. Sjøberg
- H. Hentschke
- Daniël Lakens
Citations in the corpus
- Inference by eye: confidence intervals and how to read pictures of data. (2005, background): “Guidance for the calculation of CIs is given for a broad range of situations by Altman, Machin, Bryant, and Gardner (2000), Smithson (2002), and Kline (2004).”
- Calculating and reporting effect sizes to facilitate cumulative science: a practical primer for t-tests and ANOVAs (2013, background): “Although the difference between Hedges’s g s and Cohen’s d s is very small, especially in sample sizes above 20 (Kline, 2004), it is preferable (and just as easy) to report Hedges’s g s .”
- Un sistema de clasificación de los diseños de investigación en psicología (2013, background): “Pero desde hace algún tiempo esta tradición ha generado mucha controversia (véase Kline, 2004, Pascual, Frías y García, 2004, Balluerka, Gómez e Hidalgo, 2005), llevando a algunos incluso a sospechar que puede retrasar la acumulación del conocimiento (véase Schmidt, 1996, Gliner, Leech & Morgan,…”
- Constructing Confidence Intervals for Spearman’s Rank Correlation with Ordinal Data: A Simulation Study Comparing Analytic and Bootstrap Methods (2008, background): “The strengths - and weaknesses - of bootstrap methods involve their heavy reliance on the empirical data rather than standard parametric assumptions (Kline, 2005).”
- Computation of measures of effect size for neuroscience data sets (2011, background): “Software that does provide such functionality, e.g. scripts or packagesdesignedforthefreely availablestatistics program‘ r ’(Kelley, 2007; Nakagawa & Cuthill, 2007) or standalone programs (see pointers in Kline, 2004; Jordan et al. , 2010), seems not to be widely known or used in the neurosciences.”
- A systematic review of effect size in software engineering experiments (2007, background): “Glass' Δ applies the standard deviation in one group only; the one considered to be the control.”