Self-efficacy and substance use outcomes for women in single gender versus mixed-gender group treatment

OBJECTIVE: This study examined baseline self-efficacy as a moderator of outcomes comparing women receiving either the Women's Recovery Group (WRG), a new manualized group treatment for substance use disorders combining single-gender group composition and women-focused content, or Group Drug Counseling (GDC), an empirically supported mixed-gender group treatment. METHODS: To understand the relationship of baseline scores of abstinence self-efficacy measured by the Drug-Taking Confidence Questionnaire (DTCQ) to outcome, we included the interaction of group by phase by continuous DTCQ scores in the outcome analyses. Women were split into groups of high versus low abstinence self-efficacy based on the clinical cutoff score of 80 on DTCQ. RESULTS: We found a significant 3-way interaction effect of treatment condition, time, and baseline DTCQ scores on drinking days and days of any substance use per month. Women in WRG had greater reduction in substance use from baseline to post-treatment than women in GDC, and women in WRG with low self-efficacy had the best outcomes overall. CONCLUSION: The findings suggest that women with low self-efficacy may have enhanced treatment outcomes in a single-gender substance use treatment group.     

Antigovernment Networks in Civil Conflicts: How Network Structures Affect Conflictual Behavior

In this article, we combine a game‐theoretic treatment of public goods provision in networks with a statistical network analysis to show that fragmented opposition network structures lead to an increase in conflictual actions. Current literature concentrates on the dyadic relationship between the government and potential challengers. We shift the focus toward exploring how network structures affect the strategic behavior of political actors. We derive and examine testable hypotheses and use latent space analysis to infer actors’ positions vis‐à‐vis each other in the network. Network structure is examined and used to test our hypotheses with data on conflicts in Thailand from 2001 to 2010. We show the influential role of network structure in generating conflictual behavior.