A History of Effect Size Indices
By Carl J. Huberty. 2002
246 citations recorded by the source corpus.
Subfields: Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/5ae5482fa1ee788fe315aaf3cdc110f90d3f8dbb
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management Science and Operations Research
- R. Henson
- T. Vacha-haase
- B. Thompson
- R. McWilliam
- K. Diamond
- Scott W. Snyder
- Patricia A. Snyder
- Eberhard Hummel
In Statistics and Probability
- R. Henson
- T. Vacha-haase
- B. Thompson
- Herman Aguinis
- R. McWilliam
- K. Diamond
- Patricia A. Snyder
- Scott W. Snyder
Citations in the corpus
- Practical Work at School Reduces Disgust and Fear of Unpopular Animals (2012, methodology): “We used type III sum of squares for unbalanced designs and partial eta-squared was used as a measure of effect size (0.01 was considered small, 0.04 moderate, and 0.1 large; Huberty, 2002).”
- Customer-Centric Science: Reporting Significant Research Results With Rigor, Relevance, and Practical Impact in Mind (2010, background): “Several sources exist that provide detailed guidelines and formulae regarding the computation of various types of effect magnitude estimates (e.g., Huberty, 2002; Kirk, 1996; Kline, 2004; Sink & Stroh, 2006; Snyder & Lawson, 1993; Vacha-Haase & Thompson, 2004).”
- Climate for Creativity: A Quantitative Review (2007, methodology): “In the case of studies that used a group differences design, effect size was assessed by using Glass, McGaw, and Cohen’s delta statistic ∆ as estimated with the pooled within-group variation (Huberty, 2002).”
- A Practical Guide to Calculating Cohen’s f2, a Measure of Local Effect Size, from PROC MIXED (2012, background): “…to report effect sizes (Wilkinson and Task Force on Statistical Inference, 1999; Kline, 2004; Nakagawa and Cuthill, 2007), and scientific journals are increasingly requesting or requiring authors to report them along with p-values (e.g., Snyder, 2000; Huberty, 2002; Fidler et al., 2005).”
- How to Estimate and Interpret Various Effect Sizes (2004, background): “Huberty (2002) provided a history of the numerous effect size choices.”
- Gender Differences in Human–Animal Interactions: A Review (2007, background): “Hunt (1974), in a study of the sexual behavior of a representative sample of 982 men and 1044 14 A nt hr oz oö s Table 4.”
- Evaluating the Quality of Evidence from Correlational Research for Evidence-Based Practice (2005, background): “For example, various effect size statistics have been proposed for decades (Huberty, 2002), but studies have shown effect sizes to be reported in less than half the published articles in various journals and various disciplines (see Thompson, 1999b; Vacha-Haase, Nilsson, Reetz, Lance, &, Thompson,…”
- Effect-Size Measures and Meta-Analytic Thinking in Counseling Psychology Research (2006, background): “There are dozens of effect-size indices available to researchers, each with relative strengths and weaknesses for particular purposes (see, e.g., Huberty, 2002; Kirk, 1996).”
- Effect Size, Confidence Intervals and Statistical Power in Psychological Research (2015, background): “Some authors (Huberty, 2002) believe that the NHST and ES metrics offer mutually complementary information: ES indicates the magnitude of the effect that is observed or the strength of the relationship between the variables, while the p value indicates only the probability that this effect or…”
- The Other Half of the Story: Effect Size Analysis in Quantitative Research (2013, background): “Despite the fact that effect size metrics have been available since the 1960s (Huberty, 2002) and have been recognized as being a potentially useful aspect of analyses since the 1990s (e.”