Compute effect size from Mean and Standard Error.
esc_mean_se( grp1m, grp1se, grp1n, grp2m, grp2se, grp2n, r, es.type = c("d", "g", "or", "logit", "r", "f", "eta", "cox.or", "cox.log"), study = NULL )
The mean of the first group.
The standard error of the first group.
The sample size of the first group.
The mean of the second group.
The standard error of the second group.
The sample size of the second group.
Correlation for within-subject designs (paired samples, repeated measures).
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
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 Unpublished manuscript: George Mason University
esc_mean_se(grp1m = 7, grp1se = 1.5, grp1n = 50, grp2m = 9, grp2se = 1.8, grp2n = 60, es.type = "or")#> #> Effect Size Calculation for Meta Analysis #> #> Conversion: mean and se to effect size odds ratios #> Effect Size: 0.7468 #> Standard Error: 0.3479 #> Variance: 0.1210 #> Lower CI: 0.3777 #> Upper CI: 1.4769 #> Weight: 8.2634