es_from_means_se: Convert means and standard errors of two independent groups...

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

Convert means and standard errors of two independent groups several effect size measures

Description

Convert means and standard errors of two independent groups several effect size measures

Usage

es_from_means_se(
  mean_exp,
  mean_se_exp,
  mean_nexp,
  mean_se_nexp,
  n_exp,
  n_nexp,
  smd_to_cor = "viechtbauer",
  reverse_means
)

Arguments

mean_exp	mean of participants in the experimental/exposed group.
mean_se_exp	standard error of participants in the experimental/exposed group.
mean_nexp	mean of participants in the non-experimental/non-exposed group.
mean_se_nexp	standard error of participants 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.
smd_to_cor	formula used to convert the cohen_d value into a coefficient correlation (see details).
reverse_means	a logical value indicating whether the direction of the generated effect sizes should be flipped.

Details

This function converts the standard errors of two independent groups into standard deviations, and then relies on the calculations of the es_from_means_sd() function.

To convert the standard errors into standard deviations, the following formula is used.

mean\_sd\_exp = mean\_se\_exp * \sqrt{n\_exp}

mean\_sd\_nexp = mean\_se\_nexp * \sqrt{n\_nexp}

Then, calculations of the es_from_means_sd() are applied.

To estimate other effect size measures, calculations of the es_from_cohen_d() are applied.

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 9. Means and dispersion (crude)'
	https://metaconvert.org/input.html

References

Higgins JPT, Li T, Deeks JJ (editors). Chapter 6: Choosing effect size measures and computing estimates of effect. In: Higgins JPT, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, Welch VA (editors). Cochrane Handbook for Systematic Reviews of Interventions version 6.3 (updated February 2022). Cochrane, 2022. Available from www.training.cochrane.org/handbook.

Examples

es_from_means_se(
  mean_exp = 42, mean_se_exp = 11,
  mean_nexp = 42, mean_se_nexp = 15,
  n_exp = 43, n_nexp = 34
)

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