Question: Meta-Analysis Summary Data Type Raw Outcome Type Continuous Effect Size Measure Hedges' g Model Random-effects Weight Inverse-variance Estimation Method Hedges Standard Error Adjustment None

Meta-Analysis Summary Data Type Raw Outcome Type Continuous Effect Size Measure Hedges'g Model Random-effects Weight Inverse-variance Estimation Method Hedges Standard Error Adjustment Nonea. Random-effects weights including both within- and between-study variance. Case Processing SummaryN Percent Included 3 100.0% Missing 0 0.0% Invalida 0 0.0% Total

Meta-Analysis Summary Data Type Raw Outcome Type Continuous Effect Size Measure Hedges' g Model Random-effects Weight Inverse-variance Estimation Method Hedges Standard Error Adjustment None a. Random-effects weights including both within- and between-study variance. Case Processing Summary N Percent Included 3 100.0% Missing 0 0.0% Invalida 0 0.0% Total 3 100.0% a. Nonpositive variance or standard error, or insufficient study size. Effect Size Estimates Effect Size Std. Error Z Sig. (2-tailed) Overall .805 .4662 1.727 .084 95% Confidence Interval Lower Upper -.109 1.719 ID 1 Effect size of each study Estimated overall effect size Estimated overall confidence interval Forest Plot Confidence interval of effect size Overall effect size value Hedges g Std. Error Lower Upper p-value 1.39 0.03 1.33 1.45 0.00 2 1.14 0.03 1.07 1.21 0.00 3 -0.12 0.06 -0.24 0.00 0.05 Overall 0.81 0.47 0.11 1.72 0.08 Model: Random-effects model Heterogeneity: Tau-squared = 0.65, H-squared = 448.84, I-squared = 1.00 0.805036 -0.5 0.0 0.5 1.0 1.5 2.0

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