es_from_chisq {metaConvert}R Documentation

Convert a chi-square value to several effect size measures

Description

Convert a chi-square value to several effect size measures

Usage

es_from_chisq(
  chisq,
  n_sample,
  n_cases,
  n_exp,
  yates_chisq = FALSE,
  reverse_chisq
)

Arguments

chisq

value of the chi-squared

n_sample

total number of participants in the sample

n_cases

total number of cases/events

n_exp

total number of participants in the exposed group

yates_chisq

a logical value indicating whether the Chi square has been performed using Yate's correction for continuity.

reverse_chisq

a logical value indicating whether the direction of generated effect sizes should be flipped.

Details

This function converts a chi-square value (with one degree of freedom) into a phi coefficient (Lipsey et al. 2001):

phi = chisq * \sqrt{\frac{chisq}{n\_sample}}

.

Note that if yates_chisq = "TRUE", a small correction is added.

Then, the phi coefficient is converted to other effect size measures (see es_from_phi).

Value

This function estimates and converts between several effect size measures.

natural effect size measure OR + RR + NNT
converted effect size measure D + G + R + Z
required input data See 'Section 8. Phi or chi-square'
https://metaconvert.org/html/input.html

References

Lipsey, M. W., & Wilson, D. B. (2001). Practical meta-analysis. Sage Publications, Inc.

Examples

es_from_chisq(chisq = 4.21, n_sample = 78, n_cases = 51, n_exp = 50)

[Package metaConvert version 1.0.0 Index]