Abstract copyright UK Data Service and data collection copyright owner.Gender and Adolescence: Global Evidence (GAGE) is a nine-year (2015-2024) research programme, funded by UK Aid from the UK Department for International Development (DFID), that seeks to combine longitudinal data collection and a mixed-methods approach to fill this information gap in sub-Saharan Africa, South Asia, and the Middle East and North Africa. In particular, GAGE seeks to understand the lives of adolescents in these particularly marginalised regions of the Global South, and to uncover ‘what works’ to support the development of their capabilities over the course of the second decade of life, when many of these individuals will go through key transitions such as finishing their education, starting to work, getting married and starting to have children.GAGE undertakes longitudinal research in eight countries in Africa (Ethiopia, Rwanda), Asia (Bangladesh, India, Nepal) and the Middle East (Jordan, Lebanon, Palestine). Sampling adolescent girls and boys aged between 10‐19‐year olds, the quantitative survey follows a global total of 18,000 adolescent girls and boys, and their caregivers and explores the effects that programme have on their lives. This is substantiated by in‐depth qualitative and participatory research with adolescents and their peers. Its policy and legal analysis work stream studies the processes of policy change that influence the investment in and effectiveness of adolescent programming. In each country, there will be a baseline, midline, and endline study. For the baseline study, GAGE will administer a household questionnaire to a sample of adolescents and their female and male adult caregivers to collect information on key aspects of their lives. In addition, GAGE will administer a community questionnaire in the communities of these adolescent to understand their access to health services, education, and exposure to gender norms. The information for the household questionnaire will be obtained by approaching households and collecting detailed information from respondents. The information for the community questionnaire will be obtained by approaching a key community informant, including a Headman, health clinic worker, and primary school teacher or school administrator in the community. Currently only baseline surveys for Bangladesh Dhaka (SN 8594), Ethiopia (SN 8597), Nepal (SN 8702) and Jordan (SN 8866) are available from the UK Data Service. There is also a Bangladesh Chittagong-Sylhet Cross Section study available under SN 8903.Further information, including publications, can be found on the Overseas Development Institute GAGE website.
Gender and Adolescence: Global Evidence: Ethiopia Baseline, 2017-2018 includes a sample of nearly 7,000 adolescent girls and boys in two separate cohorts (younger adolescents aged 10–12 years and older adolescents age 15–17 years at the time of baseline data collection), as well as their caregivers and communities. The research sample, composed of both randomly sampled and purposely selected adolescents and their families, was recruited during 2017 and 2018 from both urban and rural areas of Ethiopia. Further information about the research site, sample selection, and data collection process is available in the documentation.
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The Adult Female (AF) dataset contains information on the household, including the household roster, household assets, sources of income, and household construction, among other household information. In addition, the AF survey contains detailed information about the AF herself, such as her health, marriage and fertility, attitudes, and parenting practices. The Core Respondent (CR) dataset contains data from the survey administered to the CR and covers education, time allocation, employment, health, attitudes, marriage and fertility.The Adult Male (AM) dataset contains information on the adult male in the subset of households where surveys were conducted with adult males, covering parenting practices, time allocation use of information and communication technologies, health, attitudes, attitudes and social inclusion.
Simple random sample
Face-to-face interview
