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Quantitative Proxies for Social Norms: A Proposed Approach for Interrogating Clustering, Reference Groups, and
Ilana Seff1, Beniamino Cislaghi2, Ruti Levtov3
1Brown School of Social Work, 7548Washington University in St. Louis, St. Louis, MO, USA.
Researchers found that men's attitudes toward intimate partner violence (IPV) norms are more closely aligned with other men's views. Validating proxy measures for social norms is crucial for accurate IPV research.
Area of Science:
- Social Sciences
- Public Health
- Sociology
Background:
- Intimate partner violence (IPV) research often uses aggregate attitude measures as proxies for social norms.
- Inconsistency exists in constructing and validating these proxy measures.
Purpose of the Study:
- To demonstrate and validate techniques for exploring quantitative social norm proxies.
- To identify appropriate reference groups for norm measurement.
- To show how these approaches enhance IPV research.
Main Methods:
- Utilized data from the 2016 Tanzania International Men and Gender Equality Survey (N=2016).
- Constructed an IPV acceptance attitudinal score and individual-level norm measures.
- Employed intraclass correlation coefficients (ICC) and multilevel regressions to analyze norm clustering and predictive effects.
Main Results:
- Attitudinal clustering was most significant within male-only reference groups (villages or villages/marital status combinations).
- Men's social norms correlated more strongly with attitudes of men in their reference groups than with women's.
- Significant ICC values of 0.229 and 0.236 were observed for specific male-only groupings.
Conclusions:
- Critically examining the validity of social norm proxy measures is essential before analysis.
- Collecting attitudinal data from men is vital for a comprehensive understanding of IPV norms.
- The study validates innovative techniques for social norm proxy exploration in quantitative data.
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