Meta-Analysis Template

What’s Included

The Meta-Analysis Template provides comprehensive guidance for conducting and reporting a meta-analysis of quantitative research literature. The template includes sections for your review question, study selection criteria, and complete documentation of your systematic search process. It includes detailed sections for data extraction procedures ensuring you capture all necessary information from included studies.

The statistical analysis section guides you through selecting appropriate effect size measures, choosing random or fixed effects models, and conducting sensitivity analyses. The template includes sections for assessing heterogeneity among studies and exploring sources of variability. You’ll find guidance on conducting subgroup analyses and meta-regression if appropriate for your research questions.

The results section presents forest plots, funnel plots, and summary statistics clearly. The template includes sections for assessing and reporting publication bias and small-study effects. The discussion section interprets your pooled findings in relation to individual studies and existing knowledge. Special attention is given to reporting guidelines and transparency about methodological decisions.

Who This Template Is For

This template is essential for graduate students and researchers in medicine, psychology, education, and social sciences conducting meta-analyses. Healthcare researchers use meta-analysis to synthesize efficacy evidence for treatments and interventions. Graduate students completing systematic reviews with meta-analysis components use this framework. Researchers seeking to publish evidence syntheses in high-impact journals rely on this structured approach.

Meta-analysis specialists and biostatisticians use this template when collaborating on research synthesis projects. Academic institutions and research funders increasingly require meta-analyses for comprehensive evidence syntheses. Professionals in evidence-based practice and policy development depend on meta-analytic findings for decision-making.

How to Use

Develop a clear review question and establish precise inclusion criteria for selecting studies to include in your meta-analysis. Specify your population, intervention, comparison, outcome measures, and any design constraints. Conduct a comprehensive literature search across multiple databases and register your protocol with PROSPERO if appropriate.

Screen citations and full texts to identify eligible studies. Extract standardized data from each study including sample size, effect sizes or raw data needed to calculate them, study characteristics, and quality indicators. Document your data extraction process ensuring consistency and accuracy.

Select appropriate effect size measures matched to your outcomes and statistical analyses. Choose fixed or random effects models based on heterogeneity among studies. Calculate pooled estimates with confidence intervals. Assess heterogeneity using I-squared and Q statistics. Conduct sensitivity analyses removing studies one at a time to assess result stability.

Customize with GenText

GenText can help you extract data from studies efficiently, reducing time on this tedious task. The AI can assist with interpreting statistical output and developing clear explanations of heterogeneity and effect size estimates. Use GenText to create accessible explanations of technical meta-analytic concepts for non-specialist audiences. GenText can also help you generate clear visual descriptions of forest plots and funnel plots for readers.