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Event Details

Meta-Analysis Fall 2016

Time: September 23, 2016 to September 24, 2016
Location: Philadelphia
Street: 1515 Market Street
City/Town: Philadelphia
Website or Map: http://statisticalhorizons.co…
Phone: (610) 642 1941
Event Type: seminar
Organized By: Statistical Horizons LLC
Latest Activity: Aug 4, 2016

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Event Description

How do you make sense of conflicting results across studies? It is common for a finding that is statistically significant in one study to be statistically nonsignificant in another. Does this reflect differences in the design of the studies? Do the effects actually agree in direction and magnitude even if they are different in statistical significance? What if we have 5 such studies, or 50, or 500? It would be surprising if all such studies were in perfect agreement with one another. Thus, we need a method to make sense of the variability in findings across studies.

Meta-analysis is a statistical solution to this problem and has become a widely-used method for synthesizing results across studies in the social and behavioral sciences and medicine, as well as several physical sciences, such as ecology. The key to meta-analysis is the effect size: it encodes the direction and magnitude of the finding on a common scale. Using specialized statistical methods, the average effect across studies can be estimated as well as an examination of the consistency of the effects. Analyses can also explore potential explanations for inconsistencies in findings, such as theoretically relevant design differences.

This course will provide hands-on instruction in conducting all aspects of a meta-analysis, including the systematic nature of the study search and retrieval process, systematic coding and data extraction, computation of various effect size types, and the estimation of both fixed and random-effects meta-analysis models. Students will also learn both categorical and regression based moderator analysis and methods for exploring publication selection bias. Finally, reporting and presentation of the results of a meta-analysis will be taught.

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