Evaluation 2017: From Learning to Action

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Meta-analysis: The How To for calculating effect sizes and conducting a successful analysis

Session Number: 2836
Track: Quantitative Methods: Theory and Design
Session Type: Demonstration
Tags: meta-analysis, quantitative evaluation synthesis, quantitative methods
First Author or Discussion Group Leader: Antonio Olmos [Director of Research and Evaluation - Aurora Research Institute]
Second Author or Discussion Group Leader: Priyalatha Govindasamy [Student - University of Denver]
Third Author or Discussion Group Leader: Michelle Vanchu-Orosco [Post Doctoral Research Associate - The AgeWell Network (Canada)]
Time: Nov 11, 2017 (11:15 AM - 12:00 PM)
Room: Virginia C

Theme: Learning What Works and Why
Audience Level: Beginner, Intermediate

Session Abstract (150 words): 

Meta-analysis can play a very important role in program evaluation as it provides evaluators with information about the effectiveness of an intervention based on parameters such as context and population subgroups among others. Compared to other systematic review techniques, meta-analysis has the advantage of providing numerical estimates for effect sizes.

This demonstration is divided in two parts. First, we discuss the key concepts in a meta-analysis. Second, we describe the steps needed to conduct a meta-analysis using R. We will present each step with the required R codes followed by an interpretation. The steps will include ways of computing different weighted effect sizes, selecting and understanding the use of fixed or random models, conducting meta-regression, assessing model fit as determined through publication bias. This demonstration is intended as a complement (second part) to the demonstration entitled: “Meta-analysis: The How To for Locating and Coding Studies”



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