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Adolescent Girls Initiative Impact Evaluation 2010

South Sudan, 2010
Reference ID
SSD_2010_AGIIE-BL_v01_M_v01_A_PUF
Producer(s)
Shubha Chakravarty, Niklas Buehren
Metadata
DDI/XML JSON
Created on
Jun 28, 2016
Last modified
Mar 29, 2019
Page views
71854
Downloads
2506
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Identification
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Survey instrument
  • Data collection
  • Data processing
  • Depositor information
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    SSD_2010_AGIIE-BL_v01_M_v01_A_PUF

    Title

    Adolescent Girls Initiative Impact Evaluation 2010

    Subtitle

    Baseline Survey

    Country
    Name Country code
    South Sudan SSD
    Study type

    Impact Evaluation Study

    Abstract

    The Adolescent Girls Initiative (AGI) in South Sudan was initiated in 2010 to support economic and social empowerment of young women (aged 15-24 years) in the country. Inspired by the success of similar interventions in Bangladesh, Uganda and Tanzania, where the program is known as Empowerment and Livelihoods of Adolescents (ELA), BRAC piloted AGI in four states of South Sudan. Before the commencement of the program, a baseline survey was carried out by BRAC Research and Evaluation Unit with the twin objectives of assessing the pre-program situation and impact evaluation. It is evident that households targeted by the program face severe poverty, food insecurity and poor quality of lives. Young women have additional vulnerabilities in their lives. Over 30 percent of adolescent girls are mothers and about 70 percent of them reported having unprotected sex. With limited education and livelihood skills, their engagements in earning activities are also very minimal. Less than 20 percent of the girls have ever received any skills training and only one-third are engaged in any form of earning activity. Despite these difficulties in their livelihoods, about a quarter of the girls have savings.There is significant scope of improvement in changing their knowledge and attitudes. Girls have also expressed their willingness to participate in the program. More importantly, those girls who are more likely to derive benefits from participating in such a program also have greater intention to participate. Therefore, the program has the potential of meeting their objectives, although excessively high expectations of the participant girls can discourage community ownership of the interventions. The baseline data will be used to compare relevant indicators to data from the endline data collection. Furthermore the data are an opportunity to assess the pre-program situation of households and adolescent girls.

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis

    Households and Individuals

    Scope

    Notes

    This survey was designed to capture baseline indicators on the following:
    -Household characteristics
    -Household income and income generating activities
    -Household assets, loans and expenditure
    -General household conditions including housing, water and sanitation
    -Education, financial literacy and income generating activities of adolescent girls
    -Sexual and risky behavior/attitudes of adolescent girls

    Coverage

    Geographic Coverage

    Research subjects were recruited from Juba, Bor, Yei and Torit. More details under “Sampling”.

    Universe

    This data set is the baseline survey dataset from a study of 4,075 households and adolescents in South Sudan who were targeted by the NGO BRAC in 2010-2013 for an adolescent girl’s initiative program with the aim of helping adolescent girls and young women make a successful transition from school to work. There were four program sites, in Juba, Bor, Yei and Torit.

    Producers and sponsors

    Primary investigators
    Name Affiliation
    Shubha Chakravarty World Bank
    Niklas Buehren World Bank
    Other Identifications/Acknowledgments
    Name Affiliation
    Richard Ntambi BRAC
    Patrick Olobo BRAC
    Salman Alibhai World Bank

    Sampling

    Sampling Procedure

    The randomization method used was over-selection of clusters (or villages). At the initial stage BRAC program management identified 10 branch offices from four states of South Sudan (Central Equatoria, Eastern Equatoria, Jongolei and Lakes) as intervention sites. The branches are Munuki, Kator, Hai Gwafa, Kanjoro, Inkas, Hai Police, Dukurut, Langbhar, Makuriric and Matangai. In each branch BRAC staff identified 20 clusters which could potentially have the intervention. A social mapping of the households living in each cluster was conducted.

    Following the mapping a census of girls aged 15 to 24 was conducted in all 200 villages. The census contained basic identification and background information which was also used as a sampling framework for the baseline survey. Based on the information from the mapping and the census, 160 villages (16 villages per branch) were selected for project implementation.

    In each branch 10 villages were randomly selected for the intervention, with the remaining six villages acting as the control group. Following the random assignation the baseline survey was conducted. In order to balance the sample between treatment and control groups, 6 intervention villages (from the 10 in each branch) were randomly selected for the survey. In total the survey was conducted in 120 villages, of which 60 belonged to the treatment and control groups.

    From each cluster a random sample of 35 adolescent girls was drawn for the baseline survey from the census. One girl was interviewed in each household. The initial target of 4200 girls and their parents was not met, with the final sample size in the baseline survey of 4075. Interviews were conducted with the girls/young women and a separate instrument use to collect information from their parents, however in cases where the adolescent was found to be the household head, both instruments were administered to her.

    There were resources available to implement the program in 100 villages. Therefore, in each branch 10 villages were randomly selected for the interventions, and the other 6 villages belong to the control group. Following this random assignation, the baseline survey was conducted. In order to balance the sample between treatment and control groups, 6 intervention villages (from 10 villages in each branch) were randomly selected to conduct the survey. In total, we conducted the survey in 120 villages, of which 60 villages belong to treatment and control groups each.

    Weighting

    None

    Survey instrument

    Questionnaires

    SURVEY MODULES
    A - Household Module
    0 - Identification and Consent
    S1 - Household Members Characteristics
    S2 - Household Members Education
    S3 - Income Generating Activities of All HH members
    S4 - Expectations for young (aged 5-25) HH members
    S5 - Assets
    S6 - Housing Conditions
    S7 - Water and Sanitation
    S8 - Loans Outstanding
    S10 - Expenditure
    Section 10 - Household Tracking Form

    B - Adolescent Module
    0 - Identification and Consent
    S1 - Education
    S2 - Income Generating Activities
    S3 - Spare Time
    S4 - Financial Literacy
    S5. Loans and Savings
    S6. Expenditure
    S7 - Expectations and Empowerment
    S8 - Networks
    S9 - Program Participation
    S10 - Childhood
    S11 - Risky Behaviours
    S12 - Sexual Behaviours/AIDS awareness

    Data collection

    Dates of Data Collection
    Start End Cycle
    2010-08-16 2010-09-25 Juba
    2010-08-31 2010-10-20 Torit
    2010-08-31 2010-10-19 Yei
    2010-10-28 2010-12-15 Rumbek
    2010 2010-10-18 Bor
    Data Collection Notes

    Much effort was put into the wording in order to adapt the survey to local and cultural context. A team of researchers from BRAC Research and Evaluation Unit and the World Bank worked together to finalize the questionnaire instrument for the two separate modules, which were then piloted prior to the survey.

    Women with at least a secondary school leaving certificate and some previous field survey experience were hired as enumerators, and women or men with diploma and degree education level were employed as group supervisors. All field staff received training on data collection for 8 days. This consisted of instructive lectures and demonstrations followed by practice sessions at different households outside the sampled clusters, and finally special briefing about different field techniques. While the questionnaires were in English, this training equipped the enumerators with a good understanding of the questionnaires, which they could translate into Juba Arabic (and other local languages) in the field.

    Groups of at least 10 enumerators, each led by a field supervisor, were deployed in the field for the survey outside sampled clusters to develop a rapport with the questionnaires. A team of researchers from BRAC closely monitored all the field activities through frequent visits for spot checking. It would also revisit random sub-sample of the respondents, called back the respondents for verification of information, and checked completed questionnaires for consistency. During their visits, assistance and guidance were provided to enumerators and their supervisors where needed. In addition, video and phone conferences were held regarding various field operations with the field team, the World Bank and BRAC Research and Evaluation Unit office to reach on working practical decisions.

    You can find the detailed timeline in the study metadata file.

    Data processing

    Data Editing

    Each completed questionnaire was scrutinized in the field and at the field office on the day of the interview by field supervisors. Further scrutiny took place during data editing. Consistency checks were done to yield cleaned datasets. A team of researchers worked on data analysis using STATA software.

    Depositor information

    Depositor
    Name Affiliation
    Brittany Nicole Hill The World Bank

    Data Access

    Citation requirements

    Use of the dataset must be acknowledged using a citation which would include:

    • the Identification of the Primary Investigator
    • the title of the survey (including country, acronym and year of implementation)
    • the survey reference number
    • the source and date of download.

    Example,

    Shubha Chakravarty and Niklas Buehren, World Bank. South Sudan - Empowering young women in South Sudan: The BRAC-World Bank Adolescent Girls Initiative (Baseline), Ref. SSD_2010_AGIIE-BL_v01_M_v01_A_PUF. Dataset downloaded from [url] on [date].

    Disclaimer and copyrights

    Disclaimer

    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.

    Contacts

    Contacts
    Name Affiliation Email
    Shubha Chakravarty World Bank schakravarty@worldbank.org
    Niklas Buehren World Bank nbuehren@worldbank.org

    Metadata production

    DDI Document ID

    DDI_SSD_2010_AGIIE-BL_v01_M_v01_A_PUF_WB

    Producers
    Name Affiliation Role
    Development Data Group The World Bank Documentation of the DDI
    Date of Metadata Production

    2016-05-10

    Metadata version

    DDI Document version

    Version 01 (May 2016)

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