To allow for the meaningful integration of data across studies, researchers convert the results of studies into

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Effect sizes are a standardized measure of the magnitude of an observed effect. Converting study results into effect sizes allows for the meaningful integration of data across different studies, as it provides a common metric for comparing results. Correlations and variances may also be useful for data analysis, but they do not allow for the same level of comparability between studies. Charts are a visual representation of data and do not provide a measure of effect size.

To Allow for the Meaningful Integration of Data Across Studies