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 )
grp1m | The mean of the first group. |
---|---|
grp1se | The standard error of the first group. |
grp1n | The sample size of the first group. |
grp2m | The mean of the second group. |
grp2se | The standard error of the second group. |
grp2n | The sample size of the second group. |
r | Correlation for within-subject designs (paired samples, repeated measures). |
es.type | Type of effect size that should be returned.
|
study | 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.lo
and ci.hi
, the weight factor w
and the
total sample size totaln
.
If 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 Unpublished manuscript: George Mason University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