Mongolia - MICS 2016 (Khuvsgul Aimag)
Reference ID | DDI-MNG-NSO-EN-MICS-2016-KH-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 | 714385 |
Downloads | 8873 |
Data Collection
Data Collection Dates
Start | End | Cycle |
---|---|---|
2016-10-10 | 2016-10-20 | N/A |
Data Collection Mode
Face-to-face [f2f]
Training for 45 fieldwork personnel was conducted for fifteen days on 10-20 October 2016 by combined forms of lectures and practice sessions.
The training included lectures on interviewing techniques and the contents of the questionnaires. Moreover it has concentrated on teaching paper and tablet questionnaires and mock interviews between trainees to gain practice in asking questions.
The paper questionnaires testing was carried out in 7th bagh of Murun soum of Khuvsgul province for two days and testing of tablets in 6th bagh for another two days. As module on water quality was included in MICS for the first time, Mr Andrew Shantz consultant of UNICEF has supported training on water quality testing. Finally, all 45 participants were taken tests and the interviewers, editors and supervisors were selected based on their performance in the test.
The data were collected by five 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 October 21 to December 10, 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 have been involved in the training process during the data collection processes 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 |