cohen.w: Calculate Cohen's w Effect Size

In ccamp83/mu: R package for general statistical analysis of univariate and multivariate data

Calculate Cohen's w Effect Size

Description

Calculates Cohen's w, which is a measure of effect size used for chi-square tests of goodness of fit and contingency tables. It measures the discrepancy between observed and expected proportions.

Usage

cohen.w(chi_sq, n)

Arguments

chi_sq	Numeric value of the chi-square statistic
n	Integer representing the total sample size

Details

Cohen's w is calculated as the square root of (chi-square / N), where N is the total sample size. This effect size is particularly useful for chi-square tests as it provides a standardized measure of effect that is independent of sample size.

Value

Returns a numeric value representing Cohen's w effect size. The interpretation guidelines are: * 0.1: small effect * 0.3: medium effect * 0.5: large effect

References

Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum Associates.

Examples

# For a chi-square value of 10 with 100 observations
cohen.w(chi_sq = 10, n = 100)

# For a chi-square value of 25 with 200 observations
cohen.w(chi_sq = 25, n = 200)

ccamp83/mu documentation built on Nov. 7, 2024, 5:17 p.m.