es_from_etasq: Convert an eta-squared value to various effect size measures

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

Convert an eta-squared value to various effect size measures

Description

Convert an eta-squared value to various effect size measures

Usage

es_from_etasq(etasq, n_exp, n_nexp, smd_to_cor = "viechtbauer", reverse_etasq)

Arguments

etasq	an eta-squared value (binary predictor, ANOVA model))
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.
reverse_etasq	a logical value indicating whether the direction of generated effect sizes should be flipped.

Details

This function first computes a Cohen's d (D) and Hedges' g (G) from the eta squared of a binary predictor (ANOVA model). Odds ratio (OR) and correlation coefficients (R/Z) are then converted from the Cohen's d.

To estimate a Cohen's d the following formula is used (Cohen, 1988):

d = 2 * \sqrt{\frac{etasq}{1 - etasq}}

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	D + G
converted effect size measure	OR + R + Z
required input data	See 'Section 11. ANOVA statistics, Student's t-test, or point-bis correlation'
	https://metaconvert.org/input.html

References

Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Routledge.

Examples

es_from_etasq(etasq = 0.28, n_exp = 20, n_nexp = 22)

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