| Literature DB >> 35905318 |
Christopher Boyer1, Elizabeth Levy Paluck2,3, Jeannie Annan4, Tvisha Nevatia5, Jasper Cooper6, Jackline Namubiru5, Lori Heise7,8, Rachel Lehrer4.
Abstract
Violence committed by men against women in intimate relationships is a pervasive problem around the world. Patriarchal norms that place men as the head of household are often to blame. Previous research suggests that trusted authorities can shift perceptions of norms and create behavior change. In many settings, a compelling authority on behavior in relationships is religious leaders, who are influential sources of information about proper conduct in relationships and gatekeepers of marriage, but may also uphold traditional gender roles. One way leaders exert their influence is through premarital or couples counseling courses. In this study, we test whether, if given an opportunity to offer a more progressive religious interpretation of gender roles during these courses, religious leaders could motivate men to share power and thereby reduce violence. Building on existing faith networks of Christian religious leaders in western Uganda, we conducted a large pair-matched, randomized controlled trial among 1,680 heterosexual couples in which participants were randomized to attend a 12-session group counseling course or wait-listed. We find that the program shifted power from men to women and reduced intimate partner violence by five percentage points, comparable with more intensive secular programs. These improvements were largest among couples counseled by religious leaders who held the most progressive views at baseline and who critically engaged with the material. Our findings suggest that religious leaders can be effective agents of change for reducing violence.Entities:
Keywords: authorities; counseling; intimate partner violence; norms; religion
Mesh:
Year: 2022 PMID: 35905318 PMCID: PMC9351535 DOI: 10.1073/pnas.2200262119
Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN: 0027-8424 Impact factor: 12.779
Main results
| Control and decision- | Sexual consent and | Communication and | ||||||
|---|---|---|---|---|---|---|---|---|
| Any violence [0,1] | making [0,1] | autonomy [0,1] | conflict resolution [0,1] | |||||
| ( | ( | ( | ( | ( | ( | ( | ( | |
| Wave 1: 6 mo after the start of the program | ||||||||
| Religious counseling | -0.026 | -0.013 | 0.027*** | 0.027*** | 0.018** | 0.012* | 0.022*** | 0.019*** |
| (0.023) | (0.022) | (0.007) | (0.006) | (0.008) | (0.008) | (0.007) | (0.006) | |
| [0.140] | [0.268] | [0.000]‡ | [0.000]‡ | [0.018]† | [0.055] | [0.000]‡ | [0.001]‡ | |
| Wave 2: 12 mo after the start of the program | ||||||||
| Religious counseling | -0.056** | -0.050*** | 0.017*** | 0.019*** | 0.013* | 0.008 | 0.018*** | 0.014*** |
| (0.024) | (0.023) | (0.007) | (0.006) | (0.009) | (0.008) | (0.007) | (0.006) | |
| [0.014]‡ | [0.009] ‡ | [0.002] ‡ | [0.004] ‡ | [0.058] | [0.124] | [0.007] ‡ | [0.001] ‡ | |
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| Observations | 1,680 | 1,680 | 1,680 | 1,680 | 1,680 | 1,680 | 1,680 | 1,680 |
| Imputed, % | 2.6 | 2.6 | 5.4 | 5.4 | 5.8 | 5.8 | 4.4 | 4.4 |
Estimates of the ITT effects of the B1 couples counseling program on preregistered primary outcomes at first and second survey waves are shown. The dependent variable in columns 1 and 2 is an indicator that takes the value of one if the woman reported experiencing any form of physical or sexual violence since the previous wave and zero otherwise. Columns 3 to 8 are composite indices of control and decision-making questions (columns 3 and 4), sexual consent and autonomy questions (columns 5 and 6), and communication and conflict resolution questions (columns 7 and 8), respectively. These indices are formed by scaling each item to be between zero and one and then, taking the arithmetic mean. Inference about program effects is based on nonparametric randomization inference P values using 10,000 simulated draws from the randomization distribution. Hypotheses for all primary outcomes are one tailed with the prespecified direction shown. Adjusting for multiple comparisons using the procedure described in suggests that test-wise α levels of 0.017 and 0.03 are necessary to achieve family wise error rates (FWERs) of 0.05 and 0.10, respectively; effects that meet these FWER thresholds are denoted with crosses. Regression specifications in columns 2, 4, 6, and 8 include baseline covariates and treatment by covariate interactions as per the estimator described in Lin (35). All specifications include pair-blocked fixed effects to account for the randomization procedure used. Heteroscedasticity-consistent robust standard errors (HC2) for all specifications are shown in parentheses. The simulated randomization distribution under the null for each outcome is shown in . *P < 0.1; **P < 0.05; ***P < 0.001; ; , FE, fixed effect.
Fig. 1.Religious counseling reduces violence, increases power sharing, and improves communication. Black points represent estimated effects for preregistered main and secondary indices; gray points represent index components. Items reported by men are denoted “(m)” and are shown with squares; items reported by women are denoted “(w)” and are shown with triangles. Violence index is a binary indicator for the presence of any constitutive elements. Other indices are formed by taking the simple arithmetic mean of all items coded between zero and one. As specified in the preanalysis plan, we show constitutive items graphically but base our inference about statistical significance of the program effects on indices only. Asymptotic 95% CIs are provided for effects on all items based on HC2 robust SEs.
Fig. 2.Shifts in power are zero sum (men cede power, and women gain). Preregistered heterogeneous effects of religious couples counseling on control and decision-making outcomes by gender are shown. Questions were asked on a scale from 0 to 10. Women’s and men’s responses are represented by triangles and squares, respectively.
Fig. 3.Religious leaders who scored the highest in progressivism and engaged most with the program produced the biggest changes. Effects estimated among religious leaders who were in the upper 25th percentile of both “progressivism” and “program fidelity” factors (dark blue) vs. among all other leaders (light blue) are shown. Heterogeneity is assessed via the Wald test of the product of the treatment indicator and the indicator of progressive leader (P values are shown).