These types of robustness monitors are offered in the baseline review statement (Dive 1000 Evaluation Class 2016)

C. Mathematical Research

To look at system outcomes to your IPV and routes, the study exploited the usage of a good cutoff tolerance applied to a continuous program eligibility directory (PMT get) to spot procedures and you can assessment communities. Thus, results are good to your populace around the endurance and you may create maybe not represent an entire shipments from socioeconomic standing for the data organizations. Because a good discontinuity is utilized into task of your treatment, we be certain that the fresh new conditions that normally have to keep to own a typical regression discontinuity build way of end up being appropriate within our study, together with zero control at endurance or knowledge of the brand new algorithm because of the possible beneficiaries to help you influence their qualification updates. This new certified try of balance ranging from testing and you may procedures groups is actually in addition to said to the latest test from inside the dining tables 2 and you may step 3 (col. 10). About full focusing on do so presented, the brand new PMT ratings ranged off ?step three.294 so you can 4.601 z-results, during the testing shot, brand new PMT ratings include ?0.571 so you can 0.324 z-scores, towards the system qualification cutoff during the ?0.106 z-results ( fundamental departure = 0.thirty two ). six Domiciles was indeed methodically tested around the cutoff to have review motives, and ensuing home from the treatment sample is within 0.46 simple deviations of cutoff, and all of investigations home is actually contained in this 0.43 standard deviations of cutoff. Given the short endurance of the shipment out-of tested domiciles doing the latest PMT score, an easy Did was utilized to check on this new impacts of your program: eight

Manage details included in the analysis incorporated personal- and you will family-peak indicators and neighborhood-level repaired outcomes. 8 At private peak, i managed getting many years (in years) and you can evidence when it comes down to authoritative training off each other woman and you will spouse. 9 Subsequent, inside the research of one’s full test, i control for being during dating sites for Gay professionals the a great polygamous commitment (reference group is actually nonpolygamous otherwise, to possess easy malfunction, an excellent monogamous commitment). Household-height manage details integrated home proportions and the PMT get. ten We statement the fresh means of every region sign details inside detailed equilibrium and you can attrition tables; not, while we are neighborhood-top repaired outcomes, these types of indications are not included in regression investigation (districts: East Mamprusi, Karaga, and Yendi from the Northern Part and you will Bongo and you will Garu Tempane about Higher Eastern Area). To evaluate variations of the household members structure, we collaborate the fresh new indication having polygamous commitment into the cures indication, big date signal, and you can impact imagine (creating a triple communications label): 11

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.