What It Helps Clients Understand
A Meta-Analysis helps clients answer questions such as:
What is the average effect identified across existing studies?
How large is the effect?
Is the effect positive, negative, or statistically insignificant?
How consistent are findings across different contexts, populations, methods, or periods?
Which factors explain variation in results?
Are some types of interventions, policies, or institutional arrangements more effective than others?
How strong and reliable is the accumulated empirical evidence?
What methodological features may affect the estimated results?
Methodological Characteristics
A Meta-Analysis requires a clearly defined empirical question and a body of studies that report comparable quantitative results. Depending on the project, the process may include:
Clearly formulated research question.
Systematic identification of relevant empirical studies.
Inclusion and exclusion criteria.
Extraction of effect sizes.
Coding of study characteristics.
Assessment of methodological quality.
Statistical synthesis of effects.
Analysis of heterogeneity.
Sensitivity analysis.
Assessment of publication bias, when appropriate.
Interpretation of findings for research, policy, or strategic decision-making.
Core Components
The product typically includes:
Research question and analytical framework.
Search and selection strategy.
Description of included studies.
Coding protocol.
Effect size extraction.
Meta-analytic model.
Assessment of heterogeneity.
Subgroup or moderator analysis, when feasible.
Sensitivity checks.
Interpretation of aggregate findings.
Identification of evidence gaps.
Implications for policy, practice, and future research.
Typical Deliverables
Deliverables may include:
Full meta-analysis report.
Executive summary.
Study coding database.
Effect size database.
Forest plots.
Funnel plots, when appropriate.
Evidence tables.
Technical appendix.
Presentation for decision-makers.
Policy implications brief.
Best Suited For
This product is especially valuable for:
Organizations deciding whether to scale an intervention.
Governments or international organizations evaluating policy effectiveness.
Foundations assessing the accumulated evidence in a funding area.
Research teams developing evidence-based recommendations.
Institutions comparing the effects of different programs, policies, or interventions.
Value Proposition
A Meta-Analysis allows clients to move beyond narrative interpretation and assess the accumulated empirical evidence quantitatively. It provides a rigorous estimate of what the evidence suggests overall, how strong the effect is, how much results vary, and what factors may explain differences across studies. This makes it especially useful for high-stakes decisions where organizations need to know not only whether something works, but how well it works and under what conditions.