Step 1: Understanding Meta-Analysis
Meta-analysis is a powerful tool used to QUANTITATIVELY review the existing research in a particular field.
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Step 2: Establishing a Question
The question will determine not only the search terms you use to collect studies, but also the inclusion criteria and the moderators.
Step 3: Collecting Articles
Before you can begin collecting articles, you must create search terms (that can be put into different databases) in order to retrieve...
Step 5: Code Articles
Once you have developed a coding framework, you can begin the actual data collection process. By the end of this step you will know more...
Step 4: Developing a Coding Framework
This step is EXTREMELY important when conducting a meta-analysis. The coding framework determines what data you will and will not collect...
Step 6: Analyze
The analysis process may seem complicated at first, but do not despair! With practice you will soon become a pro at it. Before beginning...
Step 7: Drawing Conclusions
Once you have completed the analysis of your data, you can begin drawing conclusions and summarizing your findings in a presentable (and...
Meta Analysis in R
Setting up R Preliminary Meta Meta Regression Data/Output Filtering Moderator Analysis Aggregating Data Plotting R Meta Poster
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