C. Statistical Data

To look at program consequences on the IPV and you can pathways, the analysis taken advantage of the usage of an effective cutoff tolerance used on an ongoing system eligibility index (PMT rating) to recognize procedures and you will evaluation communities. For this reason, results are appropriate on people inside the threshold and create not depict the full shipment from socioeconomic reputation in data teams. Just like the a beneficial discontinuity is used into project of your cures, we verify the problems that usually need hold to own a regular regression discontinuity construction method to getting legitimate within our research, and no manipulation within endurance or expertise in the formula of the potential beneficiaries so you can determine its qualifications status. The fresh new formal take to of equilibrium anywhere between testing and you can medication teams is plus claimed into latest shot inside the dining tables 2 and step 3 (col. 10). On the full concentrating on get it done held, the new PMT score ranged off ?step 3.294 to cuatro.601 z-scores, through the analysis sample, new PMT ratings vary from ?0.571 in order to 0.324 z-score, on the program eligibility cutoff on ?0.106 z-results ( basic deviation = 0.thirty-two ). six Domiciles have been methodically tested in the cutoff getting assessment aim, therefore the resulting homes about cures test are within this 0.46 important deviations of one’s cutoff, and all research households is inside 0.43 fundamental deviations of cutoff. Considering the small tolerance of one’s delivery out of tested households doing the fresh new PMT get, a simple Did was used to check the new has an effect on of program: seven

Control variables utilized in the research incorporated private- and you can house-level indicators and you will neighborhood-level fixed outcomes. 8 During the private height, we controlled to have many years (in many years) and you can evidence when it comes to certified training away from both woman and spouse. nine After that, for the analysis of your own complete shot, i manage if you are from inside the good polygamous union (resource group try nonpolygamous otherwise, to possess easier dysfunction, a monogamous commitment). Household-height handle parameters incorporated house size additionally the PMT rating. ten I declaration the fresh new technique of all the area indication parameters inside the descriptive equilibrium and attrition dining tables; however, once we tend to be neighborhood-top fixed outcomes, these signs are not included in regression analysis (districts: East Mamprusi, Karaga, and Yendi from the Northern Region and you may Bongo and you will Garu Tempane throughout the Higher East Region). To assess distinctions of the family design, i come together this new indicator for polygamous union to the cures signal, big date signal, and impact estimate (performing a triple correspondence 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. free online dating sites for LDS singles 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.