has_specified_input random effect model meta analysis Hunter-Schmidt estimator meta analysis by Hunter-Schmidt method Hunter JE, Schmidt FL. Methods of Meta-analysis: correcting error and bias in research findings. Newbury Park, CA: Sage 1990. Philippe Rocca-Serra a meta analysis which relies on the computation of the Hunter and Schmidt estimator as a measure of heterogeneity over a set of studies by considering the weighted mean of the raw correlation coefficient. Hunter and Schmidt developed what is commonly termed validity generalization procedures (Schmidt and Hunter, 1977). These involve correcting the effect sizes in the meta-analysis for sampling, and measurement error and range restriction. http://www.inside-r.org/packages/cran/meta/docs/metacor metacor(cor, n, studlab, data=NULL, subset=NULL, sm=.settings$smcor, level=.settings$level, level.comb=.settings$level.comb, comb.fixed=.settings$comb.fixed, comb.random=.settings$comb.random, hakn="FALSE", method.tau="HS", tau.common=.settings$tau.common, prediction=.settings$prediction, level.predict=.settings$level.predict, method.bias=.settings$method.bias, backtransf=.settings$backtransf, title=.settings$title, complab=.settings$complab, outclab="", byvar, bylab, print.byvar=.settings$print.byvar, keepdata=.settings$keepdata ) metadata incomplete