Take the tour ×  Most coefficients (e.g., odd ratios, mean
differences, etc.) can be converted into a (Pearson-like)
correlation coefficient.  Q: Is there a conversion from probit
coefficient --> correlation coefficient?  share|improve this
question This blog post by A Gelman discusses the approx.
relationship between probit and logit coefficients "Take logit
coefficients and divide by approximately 1.6 to get probit
coefficients". So, this is one way to go: probit $\rightarrow$
logit $\rightarrow$ r –  Bernd Weiss Dec 16 '11 at 13:48 add
comment  1 Answer  up vote 1 down vote accepted  Thanks to
Bernd's comment, I developed following approach: probit
coefficient --> logit coefficient --> odd ratio --> correlation.
Beware: in many steps are approximations involved!  logit <- 1.7
* probit OR <- 2.71828^logit  # convert odd ratio to pearson
correlation # Bonett, D. G. (2007). Transforming odds ratios
into correlations for meta-analytic research American
Psychologist, 62(3), 254–255. doi:10.1037/0003-066X.62.3.2