In this video Jarlath Quinn explores how to perform meta analysis using IBM SPSS Statistics. Meta analysis is a technique that allows researchers to combine and analyse results from multiple studies addressing similar or identical research questions. Rather than relying on the conclusions from a single research study, meta analysis combines the key data points from several separate studies to calculate an overall effect size using the pooled findings.
The video is useful for those interested in:
- Performing meta analysis using studies that measure binary outcomes
- Performing meta analysis using studies that measure continuous outcomes
- Generating and interpreting Forest plots
- Testing for homogeneity based on the effect sizes in a collection of studies
- Comparing subgroups in a meta analysis
