“…To explore possible sources of the heterogeneity in effect sizes, we investigated their associations with gender and type of control group. Gender did not significantly predict effect sizes (g = 0.02, Ahrens and Rexford (2002) High risk Some concern High risk High risk Some concern Some concern Barrett et al (2015) High risk Some concern High risk High risk Some concern Some concern Bradley and Follingstad (2003) High risk Some concern High risk Low risk Some concern Some concern Daniels (2008) High risk Some concern High risk High risk Some concern Some concern Ford et al (2013) Some concern Low risk Some concern Low risk Some concern Some concern Mahoney et al (2020) High risk Some concern Low risk High risk Some concern Some concern Messina (2023) High risk High risk Some concern Some concern Some concern Some concern Nidich et al (2017) High risk Some concern High risk Some concern Some concern Some concern Tripodi et al (2019) High risk High risk High risk Some concern Low risk Some concern Valentine and Smith (2001) High risk High risk Low risk Low risk Some concern Some concern Wolff et al (2015) High risk Some concern High risk Low risk Some concern Some concern Zlotnick et al (2009) Some concern Some concern Low risk Some concern Some concern Some concern 95% CI [−0.63, 0.66], p = .953). Similarly, effect sizes did not significantly differ for studies with active (Barrett et al, 2015;Daniels, 2008;Ford et al, 2013;Mahoney et al, 2020;Tripodi et al, 2019;Zlotnick et al, 2009) versus inactive (Ahrens & Rexford, 2002;Bradley & Follingstad, 2003;Messina, 2023;Nidich et al, 2017;Valentine & Smith, 2001;Wolff et al, 2015) control groups (g = 0.39, 95% CI [−0.17, 0.96], p = .156).…”