![]() ![]() Forest plots are commonly used for this but there are others available.Īnd finally it is worth, if you do use metafor to check the author's web-site which has many examples and hints. If you have any zeroes you will need to deal with them by adding a constant.Īdding moderator variables presents no new problems but with 20 primary studies you cannot add too many at once.Īfter fitting there is a range of graphical techniques you can use to display your model. Two meta-analyses 10, 11 have found small but positive relationships between violent games and aggression where as three others 1214 have found no support for the causal link between video games and aggression. I would suggest the logit is worth considering. Meta-analyses of violent video games and aggression have also produced mixed findings. ![]() This is so your estimates are more approximately normally distributed. You will almost certainly need to choose a transformation for your proportions before doing the meta-analysis and then back-transforming for interpretation. I personally use metafor but there are other options. There are several packages there which will do what you are proposing. Since I use R I offer a few hints to get you going.Ī list of software for meta-analysis in R is available in the CRAN Task View (Disclaimer, I maintain it). Yes it is perfectly possible to do this either in Stata or in R.
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