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Effect size
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===Standardized and unstandardized effect sizes=== The term ''effect size'' can refer to a standardized measure of effect (such as ''r'', [[Cohen's d|Cohen's ''d'']], or the [[odds ratio]]), or to an unstandardized measure (e.g., the difference between group means or the unstandardized regression coefficients). Standardized effect size measures are typically used when: * the metrics of variables being studied do not have intrinsic meaning (e.g., a score on a personality test on an arbitrary scale), * results from multiple studies are being combined, * some or all of the studies use different scales, or * it is desired to convey the size of an effect relative to the variability in the population. In meta-analyses, standardized effect sizes are used as a common measure that can be calculated for different studies and then combined into an overall summary.
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