{"doc_desc":{"title":"NGA_2011-2014_ACCESSIE_v01_M","idno":"DDI_NGA_2011-2014_ACCESSIE_v01_M_WB","producers":[{"name":"Development Data Group","abbreviation":"DECDG","affiliation":"World Bank","role":"Study documentation"}],"prod_date":"2016-08-31","version_statement":{"version":"v01 (August 2016)"}},"study_desc":{"title_statement":{"idno":"NGA_2011-2014_ACCESSIE_v01_M","title":"ACCESS IT Training Program Impact Evaluation 2011-2014","alt_title":"ACCESSIE 2011-14"},"authoring_entity":[{"name":"Markus Goldstein","affiliation":"The World Bank - Africa Gender Innovation Lab "},{"name":"Alaka Holla","affiliation":"The World Bank "}],"oth_id":[{"name":"Kevin Croke","affiliation":"The World Bank ","email":"","role":""}],"distribution_statement":{"contact":[{"name":"Brittany Nicole Hill","affiliation":"World Bank","email":"bnhill@worldbank.org","uri":""}],"depositor":[{"name":"Brittany Nicole Hill","abbreviation":"","affiliation":"World Bank"}]},"version_statement":{"version":"v01"},"study_info":{"abstract":"Over the past decade, the IT Enabled Services - Business Process Outsourcing (ITES-BPO) sector has emerged as a major potential catalyst for social and economic growth in developing countries, attracting large amounts of business from overseas firms that want to outsource call centers, data processing, technical help desks, etc.\n\nAs part of efforts to develop globally competitive talent for the ITES-BPO industry in Nigeria, the World Bank, in cooperation with Nigeria\u2019s Government, industry and education system, launched ACCESS Nigeria (Assessment of Core Competence for Employability in the Services Sector) in May 2010. \n\nAn assessment instrument was developed to determine the suitability of Nigeria\u2019s talent pool for employment in the sector, as compared to requisite skill standards globally. After a pilot test on 300 students at the University of Lagos, the assessment was given to more than 3,000 final year university students and recent graduates in five cities in Nigeria. Half of the 3,000, chosen at random, were scheduled to participate in a 10-week training program in early 2012.\n\nThere were radio advertisements and outreach activities in local universities that attracted 3,018 applicants to the program to which the baseline survey was administered. The endline survey was collected by follow-up calls two years after the program finished and had a total of 1,007 individuals who participated in the training. \n\nTo test the effectiveness of training, a rigorous impact evaluation compared the trainees' employment outcomes to those of the control group that does not receive training. \n\nThe endline data is used to compare relevant indicators to data from the baseline. Furthermore, this data allows an opportunity to assess the pre-program situation of adolescent girls and young women in many aspects of their lives.","coll_dates":[{"start":"2011-03-01","end":"2011-04-01","cycle":"Baseline"},{"start":"2014-04-01","end":"2014-05-01","cycle":"Endline"}],"nation":[{"name":"Nigeria","abbreviation":"NGA"}],"geog_coverage":"Lagos, Abuja, Kano, Kaduna and Enugu","data_kind":"Sample survey data [ssd]","notes":"The scope of the study includes:\n- socio-economic and demographic backgrounds\n- education history\n- labor market experiences and expectations\n- Implicit Association Tests\n- associations between gender and attributes for women's market participation\n- IT-BPO sector associations between gender and professionalism"},"method":{"data_collection":{"coll_mode":"Other [oth]","research_instrument":"1) Baseline Questionnaire: \nA - Household Module \nB - Education Module \nC - Employment Module \nD - Expenditures Module \nE - Social Interactions Module \nF - Implicit Associations Test \n\n2) Training Assessment:\nA - Attendance \nB - Pre-Assessment \nC - Post-Assessment \n\n3) Endline Questionnaire: \nA - Household Module \nB - Employment Module","coll_situation":"Baseline data collection started in March 2011 in each of the training centers. Endline was collected two years after in April 2014 via telephone. \n\nThe baseline survey data was collected through a computer-based pre-assessment, which provided data on the 3,018 applicants of the program. The survey lasted 1.5 hours and included applicants' socio-economic and demographic backgrounds, education history and labor market experiences and expectations followed the assessment. This information allows to benchmark labor and non-labor outcomes. The second part of the baseline, is the Implicit Association Tests, an instrument that social psychologist use to measure an individual's cognitive associations between a social group and a stereotypic attribute. A timed test that consisted in sorting tasks and measured the ease of associations between gender and a number of attributes relevant for women's market participation in Nigeria. Moreover, the test also measured the distinction in ITes-BPO sector associations between gender and the concepts of professionalism and unprofessionalism. \n\nThe country faced strong political instability that resulted in delays in the implementation of the program for approximately a year. And shortly after the resolution of national crisis over the removal of fuel price subsidies and also after a Boko Haram bombing that killed over 150 people that led to the imposition of a dusk to dawn curfew in the program state of Kano, the program was implemented in February 2012. Given the delays in implementation however, to gauge interest in the initial applicants, there was a second baseline survey collected through a link provided when the treatment status was announced with strong response rates. \n\nThe endline survey consisted in enumerators contacting the applicants using the contact information provided during the baseline survey. The rate of response was 91 percent with 2,733 applicants willing to take the survey. Mobile-minutes were offered as incentives for the endline survey. Furthermore, the training providers also collected attendance data for all trainees and post-assessment scores for applicants who accepted treatment and took the assessment (1,007 individuals)."}},"data_access":{"dataset_use":{"cit_req":"Use of the dataset must be acknowledged using a citation which would include:\n- the Identification of the Primary Investigator\n- the title of the survey (including country, acronym and year of implementation)\n- the survey reference number\n- the source and date of download\n\nExample:\n \nMarkus Goldstein, The World Bank - Africa Gender Innovation Lab; Alaka Holla, The World Bank. Nigeria ACCESS IT Training Program Impact Evaluation (ACCESSIE) 2011-2014. Ref. NGA_2011-2014_ACCESSIE_v01_M. Dataset downloaded from [URL] on [date].","conditions":"Please tell us why you are accessing the data.","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."}}},"schematype":"survey","tags":[{"tag":"DOI"}]}