Meta-Analysis Summary
Synthesis and interpretation of meta-analysis results for research and practice
Prompt template
Help me summarise and interpret the results of a meta-analysis on [META-ANALYSIS TOPIC] in a clear and meaningful way. **Meta-Analysis Description**: - Primary studies analysed: [NUMBER OF STUDIES] - Total sample size: [N] - Main findings (effect size, confidence interval): [MAIN FINDINGS] - Heterogeneity: [I² VALUE AND Q STATISTIC] - Moderators: [MODERATOR VARIABLES, if applicable] Please complete the following steps: 1. **Interpret Main Finding**: Explain the effect size ([Cohen's d / r / OR]) and its practical significance in plain language. 2. **Assess Heterogeneity**: Explain what the I² value of [I²] means and what it implies for the generalisability of results. 3. **Moderator Analyses**: Which moderators explain variance between studies and what does this imply for the interpretation of findings? 4. **Publication Bias**: Assess the risk of publication bias (e.g., funnel plot, Egger's test) and its influence on conclusions. 5. **Limitations**: What methodological constraints of the meta-analysis must be considered when interpreting the results? 6. **Practical Implications**: What conclusions can be drawn for [PRACTICE / POLICY / FURTHER RESEARCH]?
Replace placeholders in [square brackets]: [META-ANALYSIS TOPIC][NUMBER OF STUDIES][MAIN FINDINGS][I² VALUE AND Q STATISTIC][MODERATOR VARIABLES, if applicable][Cohen's d / r / OR][I²][PRACTICE / POLICY / FURTHER RESEARCH]
How to use this template
Copy the prompt, replace the placeholders in square brackets with your details and paste it into the AI assistant of your choice. The more precise your details, the better the result.
Tips for better results
- Always contextualise effect sizes — a d = 0.3 can be large in some fields and minimal in others.
- I² > 75% indicates substantial heterogeneity and should be critically discussed.
- The GRADE approach helps systematically evaluate the quality of evidence from a meta-analysis.
Suitable open models
The selection names current open models as a starting point for your own tests. It is not a measurement for this template.
Keywords: #meta-analyse #effektgröße #heterogenität #evidenzsynthese #publikationsbias