These types of robustness inspections are supplied regarding the standard analysis declaration (Plunge one thousand Evaluation Group 2016)

C. Statistical Data

To look at system consequences toward IPV and pathways, the research taken advantage of the use of a https://datingranking.net/jewish-dating/ beneficial cutoff tolerance put on a continuing program eligibility list (PMT rating) to understand medication and you can comparison groups. Thus, answers are good toward society inside the threshold and you can carry out not represent a complete shipment of socioeconomic updates during the studies communities. Due to the fact good discontinuity is utilized towards assignment of your therapy, i be sure the latest conditions that typically must hold to have a routine regression discontinuity design way of feel valid inside our data, and no manipulation at the threshold or knowledge of this new formula by the potential beneficiaries in order to determine its qualification updates. The latest specialized sample away from harmony between research and you can procedures teams is actually including advertised to your newest shot in the dining tables dos and you will step 3 (col. 10). On the total focusing on take action presented, the new PMT ratings varied off ?step 3.294 so you can cuatro.601 z-results, during the review sample, the fresh PMT ratings start around ?0.571 in order to 0.324 z-scores, to your system qualifications cutoff in the ?0.106 z-results ( fundamental deviation = 0.32 ). six Homes was basically systematically tested inside the cutoff having assessment purposes, therefore the resulting house on treatment sample is actually within 0.46 practical deviations of one’s cutoff, and all of research property was inside 0.43 standard deviations of your cutoff. Considering the small tolerance of the shipment regarding sampled houses doing the brand new PMT rating, an easy Did was utilized to check the new has an effect on of your program: 7

Manage variables used in the analysis provided private- and domestic-level symptoms and you can community-level fixed effects. 8 Within private height, i managed to own decades (in years) and you can symptoms when it comes to authoritative degree regarding one another woman and you can mate. 9 Then, in analysis of your complete decide to try, we handle for being when you look at the an effective polygamous relationship (reference classification are nonpolygamous otherwise, to possess easier breakdown, a great monogamous commitment). Household-top handle parameters provided domestic size and also the PMT score. ten I statement the fresh a style of all the section signal variables in detailed harmony and you may attrition tables; yet not, once we tend to be area-level repaired consequences, this type of symptoms commonly utilized in regression investigation (districts: Eastern Mamprusi, Karaga, and you may Yendi regarding North Area and you will Bongo and you may Garu Tempane about Higher Eastern Area). To evaluate variations from the household members construction, we work together the latest indicator for polygamous connection into the procedures signal, day sign, and impact estimate (starting a triple telecommunications 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.