es_from_mean_change_ci: Convert mean changes and standard deviations of two...

In metaConvert: An Automatic Suite for Estimation of Various Effect Size Measures

Convert mean changes and standard deviations of two independent groups into standard effect size measures

Description

Convert mean changes and standard deviations of two independent groups into standard effect size measures

Usage

es_from_mean_change_ci(
  mean_change_exp,
  mean_change_ci_lo_exp,
  mean_change_ci_up_exp,
  mean_change_nexp,
  mean_change_ci_lo_nexp,
  mean_change_ci_up_nexp,
  r_pre_post_exp,
  r_pre_post_nexp,
  n_exp,
  n_nexp,
  max_asymmetry = 10,
  smd_to_cor = "viechtbauer",
  reverse_mean_change
)

Arguments

mean_change_exp	mean change of participants in the experimental/exposed group.
mean_change_ci_lo_exp	lower bound of the 95% CI around the mean change of the experimental/exposed group.
mean_change_ci_up_exp	upper bound of the 95% CI around the mean change of the experimental/exposed group.
mean_change_nexp	mean change of participants in the non-experimental/non-exposed group.
mean_change_ci_lo_nexp	lower bound of the 95% CI around the mean change of the non-experimental/non-exposed group.
mean_change_ci_up_nexp	upper bound of the 95% CI around the mean change of the non-experimental/non-exposed group.
r_pre_post_exp	pre-post correlation in the experimental/exposed group
r_pre_post_nexp	pre-post correlation in the non-experimental/non-exposed group
n_exp	number of participants in the experimental/exposed group.
n_nexp	number of participants in the non-experimental/non-exposed group.
max_asymmetry	A percentage indicating the tolerance before detecting asymmetry in the 95% CI bounds.
smd_to_cor	formula used to convert the cohen_d value into a coefficient correlation (see details).
reverse_mean_change	a logical value indicating whether the direction of generated effect sizes should be flipped.

Details

This function converts the mean change and 95% CI of two independent groups into a Cohen's d. The Cohen's d is then converted to other effect size measures.

This function simply internally calls the es_from_means_ci_pre_post function but setting:

mean\_pre\_exp = mean\_change\_exp

mean\_pre\_ci\_lo\_exp = mean\_change\_ci\_lo\_exp

mean\_pre\_ci\_up\_exp = mean\_change\_ci\_up\_exp

mean\_exp = 0

mean\_ci\_lo\_exp = 0

mean\_ci\_up\_exp = 0

mean\_pre\_nexp = mean\_change\_nexp

mean\_pre\_ci\_lo\_nexp = mean\_change\_ci\_lo\_nexp

mean\_pre\_ci\_up\_nexp = mean\_change\_ci\_up\_nexp

mean\_nexp = 0

mean\_ci\_lo\_nexp = 0

mean\_ci\_up\_nexp = 0

To know more about the calculations, see es_from_means_sd_pre_post function.

Value

This function estimates and converts between several effect size measures.

natural effect size measure	MD + D + G
converted effect size measure	OR + R + Z
required input data	See 'Section 14. Paired: mean change, and dispersion'
	https://metaconvert.org/input.html

References

Bonett, S. B. (2008). Estimating effect sizes from pretest-posttest-control group designs. Organizational Research Methods, 11(2), 364–386. https://doi.org/10.1177/1094428106291059

Cooper, H., Hedges, L.V., & Valentine, J.C. (Eds.). (2019). The handbook of research synthesis and meta-analysis. Russell Sage Foundation.

Examples

es_from_mean_change_ci(
  n_exp = 36, n_nexp = 35,
  mean_change_exp = 8.4,
  mean_change_ci_lo_exp = 6.4, mean_change_ci_up_exp = 10.4,
  mean_change_nexp = 2.43,
  mean_change_ci_lo_nexp = 1.43, mean_change_ci_up_nexp = 3.43,
  r_pre_post_exp = 0.2, r_pre_post_nexp = 0.2
)

metaConvert documentation built on April 12, 2025, 1:09 a.m.