Mongolia - MICS 2016 (Nalaikh District)
Reference ID | DDI-MNG-NSO-EN-MICS-2016-NA-v1.0 |
Year | 2016 |
Country | Mongolia |
Producer(s) | National Statistical Office - SGH |
Sponsor(s) | United Nations Children's Fund - UNICEF - Funding of survey implementation United Nations Population Fund - UNFPA - Funding of survey implementation |
Collection(s) | |
Metadata | Download DDI Download RDF |
Created on | Dec 18, 2017 |
Last modified | Dec 18, 2017 |
Page views | 7040684 |
Downloads | 12790242 |
Data Collection
Data Collection Dates
Start | End | Cycle |
---|---|---|
2016-10-26 | 2016-11-11 | N/A |
Data Collection Mode
Face-to-face [f2f]
The NSO has conducted training for 25 fieldwork staff for 15 days during October 26 to November 11, 2016 by combined forms of lectures and practical sessions. The training included lectures on interviewing techniques and the questionnaires contents using tablets.
The paper questionnaire testing was carried out in 7th khoroo of Nalaikh district for two days and the testing of tablets in 6th khoroo for another two days. As the module on water quality was included in the CDS for the first time, a consultant from the Public Health Institute of Mongolia has been invited to give lectures on the water quality testing. Finally, all 25 participants were examined, on a basis of which we have selected the interviewers, editors and supervisors.
The data was collected by three teams; each team was comprised of a supervisor, 5 interviewers (2 men assigned as main measurers) and 2 drivers.
The data collection fieldwork was carried out during November 13 to December 6, 2016. Monitoring, assessment and timely clarification of the data entered on the central network during the data collection helped improve the quality of data. In addition, field monitoring visits were done by NSO and UNICEF staff, who were involved in the training process during the data collection processes and who observed some interviews and held discussions with the teams to address the issues and inaccuracies and ways for improvement. These contributed to overall quality of the data.
Data Collectors
Name | Abbreviation | Affiliation |
---|---|---|
National Statistical Office | NSO | SGH |