MOZ_2014_ECDIE_v01_M
A Randomized Impact Evaluation of Early Childhood Development in Rural Mozambique 2014
Follow-up
Name | Country code |
---|---|
Mozambique | MOZ |
Impact Evaluation
Follow-up of a community-based ECD intervention carried-out by Save the Children in 2008-2010 in rural Mozambique.
Sample survey data [ssd]
The scope of the follow-up data collection includes:
Three districts : Bilene, Manjacaze, Xai-xai, located in Gaza Province (Southern Mozambique).
Name | Affiliation |
---|---|
Sophie Naudeau | World Bank |
Marie-Hélène Cloutier | World Bank |
Name | Affiliation | Role |
---|---|---|
Bruno Besbas | World Bank | IE Evaluation Team Member |
Harold Alderman | IFPRI/World Bank | IE Evaluation Team Member |
Name | Role |
---|---|
Strategic Impact Evaluation Fund | Financing of follow-up survey |
Communities sampling-process (baseline)
The design used for this impact evaluation is that of a clustered randomized control trial (C-RCT) at community levels
Stage 1: Community Eligibility.
Within the three target districts, a subset of eligible communities is identified that meets two key operational requirements for implementation of the program:
Stage 2: Clusters selections
The largest clusters in each district were selected for inclusion in the sample, resulting in total of 98 villages. To achieve coverage in all three distracts, it was further agreed with the NGO that the sample would include 2 clusters each in Manjacaze and Xai Xai and one cluster in Bilene
Stage 3: Community level randomization
Within clusters of communities that meet the two requirements outlined in stage 1, communities form triplets based on population size, and from each triplet a treatment community is selected at random. The two smallest villages which did not form part of a triplet were dropped. The final sample is composed of 37 treatment (7 for replacement) and 59 control villages (11 replacement), for a total sample of 96 villages. A total of 30 new intervention communities were then selected for this round of implementation through random assignment.
No replacement of communities was needed.
Child level selection :
In addition to randomization at the community level, there is exogenous variation in treatment within communities, based on rules of eligibility for Orphans and Vulnerable Children (OVC). ECD centers had a maximum of 3 class rooms with 35 students per class, for a maximum of 105 students per preschool. In the case of over-subscription of children to the ECD centers, Save the Children and the communities selected the children through a lottery system.
Household sample:
A total of 2,000 households with preschool age children were sampled from the 76 evaluation communities at baseline. With no household listing available at the time of the survey, a census of each community was carried out to identify households with children in the age range of 36 to 59 months. Taking the list of households with at least one child in this age range, 23 households per community were planned to be selected randomly. In addition, in 4 large treatment communities where oversubscription to the program was likely, an additional 63 households were selected, yielding a total sample of 2,000 households.
In practice, some communities did not have 23 households eligible. In this case, all eligible households were sampled while in larger communities, more households than planned were sampled. Among them 1,830 targeted children were assessed in literacy, numeracy and non-verbal reasoning.
The follow-up survey successfully tracked 1,875 households from baseline, representing 93.75% of the initial sample.
Two types of weights are included in SEQ_2014.dta. Both are at the community level and evaluate the inverse probability of selection within the community.
Variable “Weight1” has been generated using the number of eligible households (with at least one child aged between 36and 59 months) in the community (measured during the baseline fieldwork) divided by the number of households sampled in the community at baseline.
Variable “Weight2” has been generated using the size of the community as recorded in the national census in 2007 divided by the number of households sampled in the community at baseline.
Weights might or not be used for the analyses.
Start | End | Cycle |
---|---|---|
2014-04-15 | 2014-09-17 | Socio-economic questionnaire |
2014-04-15 | 2014-09-17 | Assessment of literacy, numeracy and non-verbal reasoning |
2014-04-05 | 2014-09-12 | School questionnaire |
2014-04-05 | 2014-09-12 | Community leader questionnaire |
2014-04-05 | 2014-09-12 | Pre-school survey |
Name |
---|
COWI Mozambique |
Data collection was overseen by an Impact Evaluation reserach Field Coordinator from the World Bank who conducted continous spot-checks in the field as well as data entry.
The tracking sample was carried out between April and November 2014, following 3 Phases.
Phase 1: Community Survey
a) Child and Household Survey: The household survey cover the panel of 2000 households with children that were aged 36 to 59 months at the time of the baseline survey in 2008 and who were followed in the first follow-up survey in 2010. This cohort was approximately 96 to 120 months at the time of this second follow-up survey. The survey also collected the Geo-Referenced coordinates of each target child’s current place of residence using a GPS supplied by the firm to each surveyor.
b) School Survey: A survey on the panel of approximately 76 schools in the original study areas was conducted to collect school-level data on the performance (i.e. grades) and school progression (i.e. repetition and drop-out rates) of children in Grades 1 to 5.
c) Community questionnaire: In the 46 control communities, a brief community survey was administered to assess whether any preschool activities were implemented in this community since 2008. In the 30 treatment communities, additional questions were included to assess the extent to which the Save the Children program continued to exist after 2010.
Phase 2: Tracking of All Movers
d) Tracking Sample. At the end of the Phase I (June 2014) 1,607 households with targeted children were completed, and 383 target children had moved away, or have not been identified in their original locality of residence. With the objective of minimizing biases from sample attrition, all children who moved from their last known place of residence were tracked by the survey firm to their new locality of residence and surveyed. Tracking followed the target child, even if some of his or her relatives were found in the original location. Children that have moved within the original community were not considered movers, and were located and interviewed as part of the standard field work operation under activity Phase 1a. Only children that have moved to a new locality were eligible for inclusion in the household tracking sample. If the target child passed away between 2008 and 2014 the socio-economic questionnaire was still administrated (under the consent of the caregivers). At the end of the phase 2, 210 target children were successfully tracked.
Phase 3: Intensive Tracking Sample
In a final phase of tracking all the targeted children not located in phase 2 were intensively tracked with the objective of identifying the child’s current location and completing the survey. Given budget constraint, area of tracking only included Maputo, Maputo province, Gaza province, and south of Inhambane province. Phase 3 tracked 1889 households. However 14 target children couldn’t be matched with absolute certainty with the baseline, resulting in the use of 1,875 socio-economic questionnaires.
Name | Affiliation | |
---|---|---|
Sophie Naudeau | World Bank | snaudeau@worldbank.org |
Marie Hélène Cloutier | World Bank | mcloutier@worldbank.org |
Use of the dataset must be acknowledged using a citation which would include:
The conditions of access will be as follows.
For the external public-catalogue:
For data collected before July 2015:
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Name | Affiliation | |
---|---|---|
Sophie Naudeau | World Bank | snaudeau@worldbank.org |
Marie-Helene Cloutier | World Bank | mcloutier@worldbank.org |
DDI_MOZ_2014_ECDIE_v01_M_WB
Name | Affiliation | Role |
---|---|---|
Development Economics Data Group | The World Bank | Documentation of the DDI |
2016-01-27
Version 01 (January, 2016)
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