Meta-Analysis in Longitudinal Research

Meta-analysis in longitudinal research is a statistical method that combines results from multiple studies examining the same topic over time. It allows researchers to analyze patterns, effects, and relationships by pooling data from different studies to achieve a larger, more reliable understanding of trends. This approach helps identify consistent findings across various populations or settings, providing stronger evidence than individual studies alone. By synthesizing results, meta-analysis can reveal insights into how certain factors may influence changes over time, ultimately contributing to a deeper understanding of complex issues in fields such as health, psychology, and social sciences.