Agricultural and Biological Sciences
2 years ago

Meta-analysis boosts power to detect small effects in ecology studies.

Princeton University Press eBooks
Power Statistics for Meta-analysis: Tests for Mean Effects and Homogeneity
Marc J. Lajeunesse

Paper Summary

Related papers

Decision Sciences
5 years ago

Flawed Hypothesis Testing Methods Lead to Misleading Statistical Decisions.

Time Series Forecasting
Multicollinearity
3 views
Decision Sciences
8 years ago

Low statistical power contributes to poor reproducibility in scientific research.

Evidence Synthesis
Clinical Trials
Network Analysis
1 view
Theme background image
Mathematics
8 years ago

New guidelines improve accuracy of educational intervention impact evaluations.

Clinical Trials
Quality of Life
Causal Inference

Meta-analysis helps scientists in ecology and evolutionary biology by increasing the power to detect small effects with limited sample sizes. This study discusses how to calculate the statistical power of meta-analysis, including tests for mean effects and homogeneity within and between studies. Improving statistical power in meta-analysis can help researchers better evaluate the presence of experimental effects.