Convert a p-value of a chi-square to several effect size measures
es_from_chisq_pval( chisq_pval, n_sample, n_cases, n_exp, yates_chisq = FALSE, reverse_chisq_pval )
chisq_pval
: p-value of a chi-square coefficientn_sample
: total number of participants in the samplen_cases
: total number of cases/eventsn_exp
: total number of participants in the exposed groupyates_chisq
: a logical value indicating whether the Chi square has been performed using Yate's correction for continuity.reverse_chisq_pval
: a logical value indicating whether the direction of generated effect sizes should be flipped.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/input.html |
This function converts a chi-square value (with one degree of freedom) into a chi-square coefficient (Section 3.12 in Lipsey et al., 2001):
Note that if yates_chisq = "TRUE"
, a small correction is added.
Then, the chisq coefficient is converted to other effect size measures (see es_from_chisq
).
es_from_chisq_pval(chisq_pval = 0.2, n_sample = 42, n_exp = 25, n_cases = 13)
Lipsey, M. W., & Wilson, D. B. (2001). Practical meta-analysis. Sage Publications, Inc.
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