Applied Power Analysis for the Behavioral Sciences
By C. Aberson. 2010
371 citations recorded by the source corpus.
1. What is Power? Why is Power Important? 2. Chi-Square and Tests for Proportions. 3. Independent Samples and Paired t-tests. 4. Correlations and Differences between Correlations. 5. Between Subjects ANOVA (One Factor, Two or more Factors). 6. Within Subjects Designs. 7. Mixed Model ANOVA and Multivariate ANOVA. 8. Multiple Regression. 9. Covariate Analyses and Regression Interactions. 10. Precision Analysis for Confidence Intervals. 11. Additional Issues and Resources.
Subfields: Education
View Paper: https://www.semanticscholar.org/paper/5c2dc4dbd5710c466cfbc9a865ed59e86aa38a72
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In Education
- Daniël Lakens
- Russell A. Poldrack
- Thomas E. Nichols
- Jeanette A. Mumford
- Tony Pell
- C. Aberson
- M. Galton
- L. Hargreaves
Citations in the corpus
- Group work and whole‐class teaching with 11‐ to 14‐year‐olds compared (2009, background): “In all three tests the pupils taught using groups make significant gains with the same magnitude of effect size in the case of electricity (both group and class cohorts achieving effect sizes approaching 0.8, the large Cohen (1988) criterion).”
- Positive intergroup contact, negative intergroup contact, and threat as predictors of cognitive and affective dimensions of prejudice (2015, background): “…for detecting small standardized regression coefficients (b* = .13) for analyses examining the effects of contact variables on dependent variables (DVs; Aberson, 2010) and for most situations involving bias-corrected bootstrapped estimates for detecting mediated effects (Fritz & MacKinnon, 2007).”
- Objective Reduction in Many-Objective Optimization: Linear and Nonlinear Algorithms (2013, background): “There exist a few guidelines on interpreting the strength of correlation, one of which is the Cohen scale [43].”
- Sample Size Justification (2021, neutral): “For this reason an a-priori power based on a smallest effect size of interest is generally preferred, whenever researchers are able to specify one (Aberson, 2019; Albers & Lak-ens, 2018; Brown, 1983; Cascio & Zedeck, 1983; Dienes, 2014; Lenth, 2001).”
- Handbook of Functional MRI Data Analysis: Index (2011, methodology): “For other group models such as a two-sample t -test or ANOVA, models estimated using OLS examples can be found in Cohen (1988), and estimation techniques for full mixed effects models can be found in Mumford & Nichols (2008).”
- Calculating and reporting effect sizes to facilitate cumulative science: a practical primer for t-tests and ANOVAs (2013, background): “…as a complementary resource for psychologists who want to learn more about effect sizes (for excellent books that discuss this topic in more detail, see Cohen, 1988; Maxwell and Delaney, 2004; Grissom and Kim, 2005; Thompson, 2006; Aberson, 2010; Ellis, 2010; Cumming, 2012; Murphy et al., 2012).”
- The Replication Recipe: What Makes for a Convincing Replication? (2014, background): “…researchers to consult the appropriate literature on statistical power and sample size planning when designing replication attempts (see, e.g., Aberson, 2010; Cohen, 1992; Faul, Erdfelder, Lang, & Buchner, 2007; Maxwell, Kelley, & Rausch, 2008; Scherbaum & Ferreter, 2009; Shieh, 2009; Zhang &…”