]]>

]]>

Hi!I am currently completing my master's dissertation on private equity performance versus public stock markets.I want to use a meta-analysis to study prior literature, on whether private equity outperforms in terms of investment return versus public stock markets. There are many papers on this topic, all with conflicting conclusions.The Question I need Help with;I am unsure of what effect sizes to use for the analysis. The papers generally give you a binary/dichotomous answer (yes/no - whether private equity outperforms stock markets). Problem with this I have noticed is that in previous examples there is a treatment and control group and with the papers I want to analyse, this does not exist. Or the papers give a percentage value (e.g. Private equity outperforms by 3.79% per annum versus stock markets). Can the difference in percentage values given by the papers be used to calculate an effect size? I have not seen examples that use percentages to get effect sizes. What effect size should I use? Are this values applicable to get effect sizes or should I try something else? Is this possible to calculate for a meta-analysis? I look forward to any help anyone can provide! Thanks!Kind regards, SeánSee More

Dear all, in order to synthesize results from a set of multiple regression analyses from 6 separate cross-sectional samples, I would like to use the standardized regression slopes or beta coefficients ( standardized slope = unstandardized slope *sd_x/sd_y) for a (fixed or random-effects) meta-analysis. All analyses use the same set of covariates. I am not sure whether it would be adequate to use the squared standard errors of the unstandardized regression slopes as variances for weighting the standardized regression slopes in the meta-analysis or whether one would need the standard errors of the standardized regression slopes (as they are available e.g. in Mplus or Lavaan)? A related question is whether it would be better to use other effect sizes than standardized regression slopes – what do you think?Best,EmpiSee More

]]>

]]>

]]>

Tips and techniques to help meta-analysts calculate effect sizes and the variances that are needed for the purpose of analysis.See More

]]>

]]>