Meta-regression is a statistical technique used in meta-analysis to examine the relationship between study-level characteristics (often referred to as moderators) and the effect sizes reported in different studies. Its primary purpose is to explore how variations in study design, sample characteristics, or measurement methods may influence the outcomes of interest. In essence, meta-regression extends traditional meta-analysis by allowing researchers to assess how certain factors (e.g., age of participants, length of intervention, type of treatment, etc.
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