C. Analytical Investigation

To examine program consequences towards IPV and paths, the study rooked the effective use of an excellent cutoff threshold used on a continuous system qualification index (PMT rating) to understand therapy and testing communities. Ergo, email address details are appropriate on the population around the threshold and you will perform not portray a full shipping regarding socioeconomic reputation inside the data communities. As the an excellent discontinuity is utilized to the task of one’s cures, i make certain brand new issues that generally need keep to own a consistent regression discontinuity design method of feel appropriate in our study, including no manipulation within threshold otherwise expertise in brand new formula because of the prospective beneficiaries to help you influence its qualification standing. The fresh authoritative attempt Farmers local dating out of harmony ranging from research and you can medication communities try also reported for the most recent attempt from inside the dining tables 2 and 3 (col. 10). Regarding overall focusing on get it done presented, the fresh PMT results ranged from ?step 3.294 to 4.601 z-scores, during the investigations sample, the new PMT scores start around ?0.571 so you can 0.324 z-scores, to your program eligibility cutoff within ?0.106 z-results ( simple deviation = 0.32 ). six Houses have been methodically tested within cutoff having analysis objectives, while the ensuing properties regarding therapy decide to try is in this 0.46 practical deviations of your cutoff, and all of comparison home try inside 0.43 practical deviations of cutoff. Given the quick threshold of your own shipment out-of tested homes around the new PMT get, an easy Did was used to evaluate the fresh new impacts of the program: 7

Handle variables included in the analysis included private- and you can home-height indications and neighborhood-level fixed outcomes. 8 During the personal height, i managed to own decades (in many years) and indications for certified degree off both lady and you will lover. 9 Subsequent, during the investigation of your own complete take to, we control if you are inside good polygamous connection (resource classification try nonpolygamous otherwise, having easy malfunction, a monogamous union). Household-height handle parameters included house size and PMT get. ten I declaration this new manner of the area indicator variables inside descriptive equilibrium and you will attrition dining tables; although not, once we were people-height repaired outcomes, such signs are not utilized in regression studies (districts: East Mamprusi, Karaga, and you will Yendi from the Northern Region and Bongo and you can Garu Tempane regarding Upper Eastern Region). To evaluate distinctions because of the family relations framework, i collaborate the brand new indicator to possess polygamous partnership toward procedures indication, go out indicator, and you will perception guess (performing a triple communications label): eleven

D. Attrition

Attrition over the panel period has potential to threaten the internal validity and generalizability of the findings. Overall attrition in our analytic sample is approximately 10%, slightly higher than the overall household sample rate of 6.6%, and does not vary significantly between treatment and comparison samples ( p -value = .35 using a simple t-test; Table 1). Further, we investigate whether the sample lost to follow-up differs significantly from our panel sample in terms of IPV outcomes, control variables, or pathway indicators (tables 2, 3). Column 7 shows the mean difference between the sample lost to follow-up in the treatment group, as compared with the same in the comparison group. Column 8 shows the p-value of this difference derived from a regression using treatment to predict the specific indicator, controlling for the PMT score and restricting to attritors. Table 2 shows that across 12 background characteristics and 14 pathway variables, only one is significant at the p < .05 level (there is a statistically significantly higher proportion of the treatment group lost to follow-up as compared with the comparison group in Bongo district). Table 3 shows that across 15 outcome indicators, the only ones to show evidence of differential attrition at p < .05 or lower are those measuring the frequency of sexual IPV (means of those lost to follow-up in the comparison group are slightly higher at .28 vs. the treatment group at .26). These results indicate that the potential for bias in overall findings due to attrition is low. Despite these promising results, we do find that women leaving our sample across both treatment arms differ in terms of background characteristics from those who remain in our sample (p-values shown in cols. 3 and 6). For example, women who leave the sample are generally younger, better educated, in monogamous partnerships (vs. polygamous), and live in smaller households. This may be reflective of rural-to-urban migration or other mobility patterns, although these differences are not generally observed for pathway variables, including indicators of economic standing.