The statistical technique used to statistically compare findings across many different research studies using some common evaluation measure is:

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Meta-analysis is the statistical technique used to synthesize results from multiple research studies on a specific topic or question using a common set of evaluation measures. It involves systematically searching, identifying, and pooling data from various studies to obtain an overall effect size or estimate of the magnitude and direction of the association or intervention. This technique allows researchers to assess the consistency, diversity, and generalizability of the findings, as well as identify potential sources of heterogeneity and bias. In contrast, covariate analysis focuses on examining the relationship between a dependent variable and one or more independent variables while controlling for other variables, factor analysis aims to identify underlying latent variables or dimensions that explain the pattern of correlations among a set of observed variables, and analysis of variance compares the means of several groups or conditions on a continuous dependent variable.

The Statistical Technique Used to Statistically Compare Findings Across Many