Metaanalysis workshops and tutorials
AC Del Re's metaanalysis workshops are geared toward those who are either (1) new to metaanalysis, (2) have a working knowledge of it, or (3) have expertise but are interested in conducting their analyses within the R statistical software programming environment (using metafor and MAd packages). The workshops offer a combination of didactic and 'handson' experiences. Typically, they begin by introducing the rationale for metaanalysis as a method for summarizing existing research studies and then proceed to demonstrate basic (and advanced) metaanalytic techniques using real data from studies that have been published.
Participants are provided with the free (opensource) metaanalysis packages and R code to follow along with every step in the analysis. For users not familiar with the R statistical software program, the workshops generally proceed by demonstrating the graphical user interface (GUI; i.e., menudriven "pointandclick" interfacesimilar to SPSS) version of the metaanalysis packages in R.
Details regarding an older workshop is provided below, along with slides.
Participants are provided with the free (opensource) metaanalysis packages and R code to follow along with every step in the analysis. For users not familiar with the R statistical software program, the workshops generally proceed by demonstrating the graphical user interface (GUI; i.e., menudriven "pointandclick" interfacesimilar to SPSS) version of the metaanalysis packages in R.
Details regarding an older workshop is provided below, along with slides.
June 2012: Metaanalysis workshop using the Graphical User Interface in R
The workshop slides below were presented in 2012 at the Society for
Psychotherapy Research in Virginia Beach.
NOTE: This GUI has now been updated (RcmdrPlugin.MA) with additional functionality for conducting metaanalyses by integrating functions from both the 'metafor' (Viechtbauer, 2010) and the 'MAd' (Del Re, 2010) package for metaanalyses in R.
NOTE: This GUI has now been updated (RcmdrPlugin.MA) with additional functionality for conducting metaanalyses by integrating functions from both the 'metafor' (Viechtbauer, 2010) and the 'MAd' (Del Re, 2010) package for metaanalyses in R.
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