Conducting Meta-analysis in R with Metafor: Data Uploading and Analysis Guide
Learn how to conduct meta-analysis in R using the Metafor package. Discover how to upload datasets, create variables, compute effect sizes, and analyze data for a meta-analysis. Examples and instructions are provided for reading Excel files, utilizing built-in datasets, and exploring different moderators. Enhance your research skills with this comprehensive guide.
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Presentation Transcript
Meta-analysis in R with Metafor 3: Uploading Data Get datasets into R or use a Metafor library dataset
Built-in Datasets Metafor comes with many datasets in a library Viechtbauer uses dat.bcg as an illustration in his 2010 paper on metafor I ll use the validity of employment interviews in dat.mcdaniel1994 for illustrations
Create Dataset in Excel Create columns for variables Author Date Effect size data (Hedges approach; Borenstein et al., 2009 book; little bit of Schmidt & Hunter) Effect Size (ES), Sampling Variance (V) of ES Data to compute ES and V Moderators Must find or compute a common (across studies) ES and V
Example Dataset McLeod2007.xlsx parenting and childhood depression McLeod, B. D., Weisz, J. R., Wood, J. J., (2007). Examining the association between parenting and childhood depression: A meta-analysis. Clinical Psychology Review, 27, 986-1003. ES Correlation (r) Variance From sample size (N) Moderator Both parents (B) or just mothers (M) Has Author, Year Has other moderators related to either parenting or depression measures let s take a peek
Reading .xlsx files > Invoke R > library(xlsx) > data <- read.xlsx( path/filename.xlsx , sheetName = nameofsheet ) Examples Read McLeod.xlsx Print it Print built-in library data: dat.mcdaniel1994
Video instructions from Youtube For reading an Excel file into R: https://www.youtube.com/watch?v=qPk0YEKhqB8&list=PLqzoL9- eJTNBDdKgJgJzaQcY6OXmsXAHU&index=4
