![]() Matching gift databases like these take the hassle out of searching for the specific data a donor needs, making it easier for donors to submit matching gift requests. ![]() ![]() Luckily, matching gift software providers like Double the Donation make the process easier for your donors and your organization. Without a comprehensive matching gift database, your donors might have to sift through web pages or internal company files to find the information they need to submit a matching gift request. After weighting, standardized differences for covariates across HEP exposure groups were all <0.1 (implying good balance) except for a binary indicator of experiencing drought between round 1 and round 4 ( Table A7, Figure A2) [Matching gift databases are essential because they provide donors with the most comprehensive information about their employer’s matching gift program in the simplest way possible, which makes it easy to double donations and earn even more revenue. 30), and area under the receiver operating characteristic curve of 0.7 and 0.75, respectively ( Table A6). Our propensity score models were assessed to have good discriminative ability in both boys and girls, with Hosmer-Lemeshow chi-square values of 6.98 ( p =. Participants in households supported by HEP were younger, less likely to be enrolled in school, had caregivers with lower education, lower household wealth, and were more likely to live in a rural area and in the Tigray region ( Table 3). 013), and their caregivers had higher satisfaction with HEP ( p =. Compared to boys, girls received more regular household support ( p =. Among caregivers recalling support before their child turned 15, most reported monthly or bimonthly support (52%), and their satisfaction with HEP services was also high (fully satisfied: 68%) ( Table A5). ![]() In line with HEP’s gradual roll-out, household support for boys and girls at age 12 was 32% and 34%, respectively and at age 15 it was 68% and 63%, respectively. Moderate stunting corresponds to a height-for-age z-score below minus two and severe stunting corresponds to a height-for-age z-score below minus three standard deviations lower than the mean on the World Health Organization child growth standards. For this we used IPTW based on the generalized propensity score proposed by Imbens [ Finally, we investigated the influence of dose-wise exposure to HEP and study outcomes according to frequency and duration of HEP support. Adjusted probability differences and adjusted mean differences were used to compare the scenarios: “No HEP” and “HEP” for HEP outcome associations with p <. Logistic regression was used for binary outcomes and linear regression for continuous outcomes. Associations between HEP and study outcomes were then estimated by regression, weighting unexposed participants as 1/(1−propensity score) and exposed participants as 1/propensity score, and adjusting models for a binary indicator of experiencing drought over follow-up, which remained unbalanced across HEP exposure groups after weighting. We assessed balance of covariates between exposure groups using standardized mean differences. First, propensity scores were estimated separately for boys and girls using logistic regression, in which HEP exposure was regressed on all 11 round 1 covariates. This threshold was previously associated with worse education outcomes in Ethiopia [ ] (2) very good health, measured as scoring five on a five-point scale ranging from very poor to very good (3) fertility knowledge, measured as correct responses to both true/false statements “a woman/girl cannot get pregnant the first time she has sex” and “If a girl washes herself after sex she will not get pregnant” (4) sexually transmitted infection (STI) knowledge, measured as correct responses to the true/false statements “Using a condom can prevent getting a disease through sex,” “A person who looks very healthy cannot pass on a disease through sex,” and “A person can get HIV or AIDS by having sex” (5) no child marriage, measured as no self-reported marriage before the international and national legal age of 18 (6) no adolescent pregnancy, measured as no self-reported pregnancy or birth before age 20 (7) low/no alcohol use, measured as consuming alcohol no more than once per week (8) education enrolment, measured as enrolment in formal education during the survey year (9) <3 hours of domestic activities per day, which included household chores and caring for others.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |