Effect Sizes Why, When, and How to Use Them
By R. Rosnow, R. Rosenthal. 2009
98 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/a11dc1b95e0b5c64054ac2b54343b31b4bc054dd
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Statistics and Probability
- Brian A. Nosek
- Jin X. Goh
- Judith A. Hall
- Peter Sedlmeier
- Juliane Eberth
- Marcus A. Schwarz
- Sonja Kunze
- Doreen Zimmermann
Citations in the corpus
- Scientific Utopia: II. Restructuring Incentives and Practices to Promote Truth Over Publishability (2012, background): “Further, in the dominant model of null hypothesis significance testing (Cohen, 1994; Nickerson, 2000; Rosnow & Rosenthal, 2009; Rozeboom, 1960), the nominal false-positive rate of α = .05 has become a de facto criterion for publishing.”
- The psychological effects of meditation: a meta-analysis. (2012, background): “This could be results of significance tests or means and sample standard deviations (e.g., Rosnow & Rosenthal, 2009).”
- The Effects of Mindfulness Meditation: A Meta-Analysis (2012, background): “…variable) over a standardized difference measure such as d. Note that measures of standardized difference (g and d) can be treated as equivalent to r (e.g., Rosnow & Rosenthal 2009; Sedlmeier & Renkewitz 2008), and can be transformed into each other as illustrated in formula 4 (see below).”
- Un sistema de clasificación de los diseños de investigación en psicología (2013, background): “…muchos indicadores de magnitud del efecto (véanse revisiones recientes en Ellis, 2010 y Grissom & Kim, 2012), se han destacado dos tipos básicos (Rosnow & Rosenthal, 2009): indicadores tipo d (que se basan en la diferencia de medias estandarizada) e indicadores tipo r (que se basan en la…”
- Mini Meta-Analysis of Your Own Studies: Some Arguments on Why and a Primer on How (2016, methodology): “…his ES metric to be r, he should use Formula 3: r ¼ ffiffiffiffiffiffiffiffiffiffiffiffiffiffi t2 t2 þ df s (3) Jacob could also calculate d by the definitional formula wherein the difference between means is divided by the pooled within-group standard deviation (see Rosnow & Rosenthal, 2009).”