esc_chisq {esc}  R Documentation 
Compute effect size from ChiSquare coefficient
esc_chisq( chisq, p, totaln, es.type = c("d", "g", "or", "logit", "r", "f", "eta", "cox.or", "cox.log"), study = NULL )
chisq 
The chisquared value. One of 
p 
The pvalue of the chisquared or phivalue. 
totaln 
A vector of total sample size(s). 
es.type 
Type of effect size that should be returned.

study 
Optional string with the study name. Using 
The effect size es
, the standard error se
, the variance
of the effect size var
, the lower and upper confidence limits
ci.lo
and ci.hi
, the weight factor w
and the
total sample size totaln
.
This effect size should only be used for data from 2x2 frequency
tables. Furthermore, use this approximation for the effect size only,
if information about the 2x2 frequencies or proportions are not available.
Else, esc_2x2
or esc_bin_prop
provide better
estimates for the effect size.
Lipsey MW, Wilson DB. 2001. Practical metaanalysis. Thousand Oaks, Calif: Sage Publications
Wilson DB. 2016. Formulas Used by the "Practical MetaAnalysis Effect Size Calculator". Unpublished manuscript: George Mason University
# Effect size based on chisquared value esc_chisq(chisq = 9.9, totaln = 100) # Effect size based on pvalue of chisquared esc_chisq(p = .04, totaln = 100)