NAM_2016_MCC-CSDC_v01_M
Community Skills Development Centers 2016
Name | Country code |
---|---|
Namibia | NAM |
Independent Performance Evaluation
Sample survey data [ssd]
Individuals
Anonymized dataset for public distribution
Version 02 is the edited version produced by Development Data Group (The World Bank) based on Version 01 (DDI-MCC-NAM-MPR-COSDEC-2017-v1) that was done by Millennium Challenge Corporation. Data was downloaded from https://data.mcc.gov/evaluations/index.php/catalog/199/
The survey covered the following topics:
Topic | Vocabulary |
---|---|
Vocational education and training | |
Education | MCC Sector |
COSDEC providers throughout Namibia.
All enrollees in the 36 national courses that started in the seven new and renovated COSDECs between July and December 2014.
Name |
---|
Mathematica Policy Research |
Name |
---|
Millennium Challenge Corporation |
The targeted sample for the COSDEC evaluation consists of all 934 enrollees in the national courses that started in the seven new and renovated COSDECs between July and December 2014. Of these enrollees, 642 completed a survey, and constitute the analytic sample used for the analysis.
Based on a request from COSDEF, we also administered the survey to enrollees in COSDEC Benguela (Lüderitz)--the only COSDEC not affected by the subactivity. COSDEF funded this additional data collection because they wanted comparable data and summary statistics for all the COSDECs in Namibia for their internal purposes, but our evaluation only covered the seven new and renovated COSDECs. Because data for COSDEC Benguela were entirely outside the evaluation, we have excluded this COSDEC from the public use dataset. The appendix to the COSDEC final report contains additional information about the data for COSDEC Benguela.
The response rate to the follow-up survey in the seven new or rennovated COSDECs was 68.7 percent.
No weights were used in the main analysis.
However, as a robustness check, we estimated results using non-response weights. These weights were designed to make the weighted sample reflect the applicant sample in terms of its distribution across trainings. To create these weights, we weighted each respondent by the inverse of the response rate in the training in which they enrolled. We then top-coded these weights at 3 standard deviations above the mean for the full sample to account for outliers and normalized the sum of the weights to equal the number of observations. The non-response weight variable is called t1_weight. The results applying these weights were very similar to the unweighted results.
The COSDEC survey was developed by Mathematica, and was a computer-assisted survey that was conducted by telephone. The survey was developed in English and was translated into Afrikaans, Oshiwambo, Otjiherero, and Rukwangali; the translated versions were used for respondents who were not comfortable in English. The survey included the following modules: (1) education and vocational training; (2) employment and earnings; (3) income and household demographics; and (4) health behaviors (related to HIV/AIDS and pregnancy).
Start | End |
---|---|
2016-01-07 | 2016-06-20 |
Name |
---|
Survey Warehouse |
The data were collected by a handful of interviewers who worked from Survey Warehouse( SW) office in Windhoek. These were supervised by a senior on-site SW staff member. Mathematica staff provided support as required.
The COSDEC survey was conducted by Survey Warehouse from January to June 2016, with oversight from Mathematica. Interviews were conducted in English, Afrikaans, Oshiwambo, Otjiherero, or Rukwangali using a computer-assisted telephone interview system. Although the plan was for the survey to occur roughly one year after the scheduled end of each training, in practice the timing varied somewhat (between 12 and 16 months). However, the median was one year after the end of training (12 months).
Mathematica conducted cleaning of the raw data file in Stata, which included checking the validity of variable values and ranges; verifying skip patterns; cleaning and back-coding common "other-specify" responses; creating binaries of categorical variables; and recoding skips, missing data, and other non-response values to standardized lettered indicators. Mathematica then merged these data with sample information related to the COSDEC training in which each individual was enrolled (for example, provider, course name, and course duration).
The survey data were intended to cover the universe of applicants to the included trainings, and did not involve any sampling. The only source of error in the estimated means is survey non-response. Users can therefore rely on standard formulae to calculate the sampling error for the estimated means.
Public use files, accessible to all.
Use of the dataset must be acknowledged using a citation which would include:
Example:
Borkum, Evan, Arif Mamun, and Malik Mubeen."Evaluation of the Community Skills Development Centres (COSDEC) Subactivity Outcomes Survey, 2016". Data submitted to the Millennium Challenge Corporation. Washington, DC: Mathematica Policy Research, September 2017.
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 | |
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Monitoring & Evaluation Division of the Millennium Challenge Corporation | impact-eval@mcc.gov |
DDI_NAM_2016_MCC-CSDC_v01_M
Name | Affiliation | Role |
---|---|---|
Mathematica Policy Research | Independent Evaluator | |
Development Data Group | The World Bank | Editing DDI |
2017-09-15
Version 02 (April 2018) Edited version based on Version 01 (DDI-MCC-NAM-MPR-COSDEC-2017-v1) that was done by Millennium Challenge Corporation.
Tasks done:
Version 1 (September 2017)
The COSDEC survey sample included all individuals who enrolled in national courses starting between July and December 2014 in the seven targeted COSDECs. This intake was the first one expected to fully benefit from the subactivity (COSDECs typically have two main intakes per year, one in each half of the year, and the interventions were completed only by mid-2014).
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