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Simple Effect Size

The Toolkit graph labeled simple effect size display the results of calculating an effect size by simply dividing the raw score change by the standard deviation of the outcome questionnaires. This calculation does not control for important variables such as severity at intake, diagnosis, session number of initial assessment and questionnaire type. For this reasons, comparisons of simple effect sizes across clinicians or organization may be misleading. For a more of in depth discussion of the calculation and interpretation this statistic see Effect Size.

The Severity Adjusted Effect Size, also displayed in a Toolkit graph, uses multivariate regression to control for diagnosis, intake scores, session of first assessment, and questionnaire type. This calculation permits a comparison of effect size across clinicians and organizations with increased confidence that the comparisons have controlled for differences in cases mix and other variables likely to impact effect size.
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