This repository contains data and R code for producing two types of plots.
The first plots individual responses to several items against a summary of those responses.
In this example, the individual responses are from unique participants in a single study, each providing a response for each of thirteen items in a survey (gray diamonds). The summary is the mean and 95% confidence interval for these responses for each item (blue dots and error bars). However, the thirteen items could just as easily be dependent variables from thirteen different studies in a meta-analysis (with each participant's response + a summary for each study) or from thirteen different effects in a Many Labs-style replication effort (with gray diamonds representing each lab's effect size contribution for each effect, and the blue summaries representing meta-analytic estimates for each effect).
The second plot presents only summary information (medians and 95% confidence intervals) for the same items but breaks them down by two different moderators (in this example, gender and religion).
Again, the individual items could easily be different studies in a meta-analysis or different effects in a Many Labs style project.
The purpose of this repository is to provide code for producing these plots that can be customized to the specific data set you have. I've included some data from the preliminary work for my dissertation to help in reproducing the plots and practicing some tweaks. But this was put together quickly, so please open an issue or email me at firstname.lastname@example.org if you have any questions or want help using the code.
You can download the whole repository, including R code and data, by clicking on "download ZIP" above the file list.