Such robustness monitors are supplied on standard comparison statement (Dive 1000 Investigations Party 2016)

C. Mathematical Investigation

To look at system consequences into the IPV and you can paths, the study exploited the utilization of good cutoff endurance put on a continuing program qualification directory (PMT rating) to identify cures and you will analysis groups. Thus, answers are legitimate into the people inside the threshold and you may do perhaps not show an entire distribution from socioeconomic position from inside the investigation communities. Once the good discontinuity can be used into the project of one’s treatment, i be sure the fresh issues that typically must keep for a typical regression discontinuity build way of be appropriate within studies, along with zero manipulation within endurance otherwise experience in the fresh new formula of the prospective beneficiaries so you’re able to determine their qualification status. New specialized test out of harmony anywhere between evaluation and you may treatment communities are including claimed into newest shot within the tables dos and 3 (col. 10). On the complete targeting do it conducted, new PMT score varied of ?3.294 in order to cuatro.601 z-results, throughout research attempt, this new PMT ratings are normally taken for ?0.571 to help you 0.324 z-results, toward Cougar dating sites program eligibility cutoff from the ?0.106 z-score ( practical departure = 0.thirty two ). six Properties was indeed methodically sampled around the cutoff for review purposes, as well as the ensuing home throughout the medication try was within 0.46 fundamental deviations of cutoff, and all sorts of assessment house try within 0.43 simple deviations of cutoff. Given the short tolerance of your own distribution regarding sampled house to the fresh PMT get, a straightforward Performed was used to evaluate the fresh has an effect on of one’s program: 7

Handle parameters used in the analysis incorporated private- and you can household-top indications and you will neighborhood-peak repaired consequences. 8 During the personal level, i managed having decades (in years) and indications when it comes down to certified knowledge regarding one another woman and partner. 9 After that, from inside the research of one’s complete take to, we handle to be into the an excellent polygamous union (reference classification are nonpolygamous otherwise, having simple dysfunction, good monogamous union). Household-height handle variables integrated family size while the PMT score. ten We declaration the latest manner of all area signal details when you look at the descriptive harmony and attrition dining tables; however, once we are area-height fixed consequences, these types of indicators are not found in regression study (districts: East Mamprusi, Karaga, and you can Yendi on Northern Part and Bongo and Garu Tempane regarding Top Eastern Area). To assess differences by the members of the family construction, we come together the newest signal having polygamous connection on the cures indication, big date indication, and impression estimate (performing a triple communication title): 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.