JMASM9: Converting Kendall’s Tau For Correlational Or Meta-Analytic Analyses

By D. Walker. 2003

205 citations recorded by the source corpus.

Expanding on past research, this study provides researchers with a detailed table for use in meta-analytic applications when engaged in assorted examinations of various r-related statistics, such as Kendall’s tau ( ) and Cohen’s d, that estimate the magnitude of experimental or observational effect. A program to convert from the lesser-used tau coefficient to other effect size indices when conducting correlational or meta-analytic analyses is presented.

Subfields: Food Science, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/6b3c142d09b256f1c4e62717c0055c49c268e5d8

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Citations in the corpus

Evaluating metacognitive self-reports: systematic reviews of the value of self-report in metacognitive research (2020, methodology): “Thus, all Kendall’s tau statistics were first converted to r using Kendall’s formula sine(0.5*π*τ) (Walker 2003).”
A meta-analysis of correlated behaviors with implications for behavioral syndromes: relationships between particular behavioral traits (2013, methodology): “We used the program Comprehensive Metaanalysis (Borenstein 2010) to calculate effect sizes based on the conventional formulas (Cohen 1992; Walker 2003; Nakagawa and Cuthill 2007).”
Social identification and depression: A meta-analysis (2018, methodology): “…r using the following formula (Rupinski & Dunlap, 1996): r ¼ sin ð:5psÞ Similarly, Spearman’s rho was converted to Pear- son’s r using the following formula (Walker, 2003): r ¼ 2sin p 6 rs For studies that reported multiple correlations, for example between two subscales of a social identity…”