Compute effect size from One-way Anova with two independent groups.
esc_f( f, totaln, grp1n, grp2n, es.type = c("d", "g", "or", "logit", "r", "f", "eta", "cox.or", "cox.log"), study = NULL )
The F-value of the F-test.
Total sample size. Either
Treatment group sample size.
Control group sample size.
Type of effect size that should be returned.
Optional string with the study name. Using
The effect size
es, the standard error
se, the variance
of the effect size
var, the lower and upper confidence limits
ci.hi, the weight factor
w and the
total sample size
This function only applies to one-way Anova F-tests with
two independent groups, either equal or unequal sample sizes.
es.type = "r", Fisher's transformation for the effect size
r and their confidence intervals are also returned.
Lipsey MW, Wilson DB. 2001. Practical meta-analysis. Thousand Oaks, Calif: Sage Publications
Wilson DB. 2016. Formulas Used by the "Practical Meta-Analysis Effect Size Calculator". Unpublished manuscript: George Mason University
# unequal sample size esc_f(f = 5.5, grp1n = 100, grp2n = 150)#> #> Effect Size Calculation for Meta Analysis #> #> Conversion: F-value (one-way-Anova) to effect size d #> Effect Size: 0.3028 #> Standard Error: 0.1298 #> Variance: 0.0169 #> Lower CI: 0.0483 #> Upper CI: 0.5572 #> Weight: 59.3472# equal sample size esc_f(f = 5.5, totaln = 200)#> #> Effect Size Calculation for Meta Analysis #> #> Conversion: F-value (one-way-Anova) to effect size d #> Effect Size: 0.3317 #> Standard Error: 0.1424 #> Variance: 0.0203 #> Lower CI: 0.0526 #> Upper CI: 0.6107 #> Weight: 49.3218