MNG - HSES 2016
Reference ID | DDI-MN-NSO-HSES-2016-EN-v0.1 |
Year | 2016 - 2017 |
Country | MNG |
Producer(s) | National Statistics Office - NSO |
Collection(s) | |
Metadata | Download DDI Download RDF |
Created on | Jan 31, 2018 |
Last modified | Jan 31, 2018 |
Page views | 207291 |
Downloads | 13017 |
Data Collection
Data Collection Dates
Start | End | Cycle |
---|---|---|
2016-01-01 | 2017-01-01 | Every month |
Time Periods
Start | End | Cycle |
---|---|---|
2016-01-01 | Every month |
Data Collection Mode
Face-to-face [f2f]
For the data collection of this survey, we used a modern technology that fully automated paper technology is tablet technology. This approach has a number of strengths as collected data is transmitted to the central network just after gathering from the primary level, ensuring the quality and security of data, time, personnel and cost savings. For our previous procedure, field supervisor checked all collected data by enumerators and then data transmitted to a central server of the NSO. Upon receiving data in a central server, a survey team in NSO made logical and other checks for all data transmitted from the field offices and additional clarifications were received from the field offices through the field supervisors. In all cases, it was possible to compare
the listings used for consistency checks against actual questionnaires filled out by households (in fact, during the first round of checks, some households were visited again) and the data were revised whenever an error was found. Basically, three different rounds of consistency checks were applied to the data: first during the data collection by tablet, then during the compilation of the raw data files and finally during the preparation of this report. Before conducting the survey, we
conducted a pilot study of using tablet PCs and conducted training for field supervisors and enumerators to conduct this survey, according to the common understanding, methodology and techniques, and provided preparations
of successfully conducting a survey. We consider that the data quality standards are provided.