Overview

Identification

COUNTRY

Mongolia

TITLE

MICS 2012 (Khuvsgul Aimag)
 

STUDY TYPE

Multiple Indicator Cluster Survey - Round 1 [hh/mics-1]
 

SERIES INFORMATION

2000, 2005, 2010, 2012
 

Version

VERSION DESCRIPTION

Version 1.0
 

PRODUCTION DATE

2017-05-15

Overview

ABSTRACT

This report presents the findings of the Child development survey (CDS), conducted by the Statistics Department of Nalaikh district in 2012 with financial and technical support provided by the National Statistics Office (NSO) and United Nations Children's Fund (UNICEF). The survey provides valuable information on the situation of children, women and men in Nalaikh district, for measuring fulfilment of their rights. It was based largely on the needs to monitor progress towards goals and targets, pertinent to recent international agreements: the Millennium Declaration, adopted by all 191 United Nations Member States in September 2000, and the Plan of Action of A World Fit For Children, adopted by 189 Member States at the United Nations Special Session on Chil dren in May 2002. Both of these commitments build upon promises made by the international community at the 1990 World Summit for Children.

Survey objectives

The Nalaikh district’s “Child Development Survey-2012” (Multiple Indicator Cluster Survey) has the following primary objectives: ? To provide up-to-date information for assessing at the district level the following national and international level policies and programmes - the World Fit for Children Declaration - Millennium Development Goals - National Reproductive Health Programme ? To serve the baseline for UNICEF’s Country Programme 2012-2016 ? To build the capacity of the Statistics Department of the District.
 

KIND OF DATA

Sample survey data [ssd]
 

UNITS OF ANALYSIS

Household and household members
 

Coverage

GEOGRAPHIC COVERAGE

Khuvsgul Aimag
 

UNIVERSE

In total, 2,000 households selected for the sample, and of these 1,996 were found to be available for the survey. Of these, 1,982 households were successfully interviewed and the household response rate is 99 percent. In the interviewed households, out of the total 1,909 women and 1,764 men age 15-49 years enlisted for the survey, 1,727 women and 1,417 men were successfully interviewed, yielding a response rate of 91 and 80 percent respectively. In addition, 837 children under age of 5 and 1,876 children age 2-14 years were listed in the household questionnaire. Questionnaires were completed with mothers/ caregivers for 817 of these under-5 children and for 1,850 of children age 2-14, which corresponds to a response rate of 98 and 99 percent respectively, within interviewed households.

Overall response rates stand at 80 percent for men age 15-49 years, 90 percent for women, 97 percent and 98 percent are calculated for mothers/ caregivers of children under 5’s, children age 2-14’s respectively (please refer to Table HH.1).

The above-mentioned response rates were varied across locations of residence. However, the response rate for men age 15-49 years’ interviews is relatively lower than the response rates for other interviews, because of the dynamic mobility nature of men, particularly of young men.
 

Producers and Sponsors

PRIMARY INVESTIGATOR(S)

FUNDING

Metadata Production

METADATA PRODUCED BY

DATE OF METADATA PRODUCTION

2017-05-15

DDI DOCUMENT VERSION

version 1.0
 

DDI DOCUMENT ID

DDI-MNG-NSO-EN-SISS-2012-KH-v1.0

Sampling

Sampling Procedure

The Social Indicator Sample Survey is a household-based survey where households are defined as sampling units. Therefore, the households living in their administrative unit for 6 or more months or intended to live in for 6 or more months if not 6 months yet, are defined as sampling units in the survey concept. The sample size is defined by having actual representation in urban-rural and regions (Western, Khangai, Central, Easternand Ulaanbaatar) when provides estimates of the survey result at the national level. In other words, 15500 households were selected with probability proportional to size at the national level and it is decided to select sampling units using household unit weight for each region or unit weight of the region’s households in the national rate. Sample was selected in two stages. In the first stage, primary sampling units (baghs and khesegs) were selected with probability proportional to size. 25 households within each of these selected baghs and khesegs were selected using the systematic sampling method. 2012 official statistics of the household registration is used as a sampling range. As mentioned earlier, kheseg of khoroo's for Ulaanbaatar and baghs of soum's for aimags were defined as primary sampling units (PSUs). In total, 384 baghs of 236 soums of 21 aimags and 220 khesegs of 75 khoroos of 9 districts of Ulaanbaatar were covered by the survey and for each bagh and kheseg household lists were updated in May - July 2013. For reporting results, sample weights are used.

Data Collection

Data Collection Dates

Data Collection Mode

Face-to-face [f2f]

DATA COLLECTION NOTES

Training for the fieldwork personnel was conducted for nine days on 20-28 July 2012 including lectures and practice sessions.
The lectures held by the experts in the relevant field and practices were done for each group of questionnaires. In collaboration with the Nutrition Research Centre of the Public Health Institute, 40 trainees practiced child anthropometry measurements and test iodine content of salts. At the end of the lectures and practices on child anthropometry measurements, participants took the concluding joint practice of conducting the survey for two days in selected households from baghs 1, 7 and 11 of Murun soum. Finally, the participants were taken tests and the interviewers, editors and supervisors were selected based on their performance for the test.
The data were collected by five teams; each team was comprised of a supervisor, an editor and 5 interviewers (2 men assigned as main measurers4). The data collection fieldwork for “Child development survey-2012” was carried out in August – September 2012 for the duration of two months. The process and quality had been monitored by the Statistics Department of Khuvsgul aimag and UNICEF staff. Fieldwork personnel’s achievements and disadvantages had been discussed during the monitoring visits and necessary actions had been taken accordingly.

Data Collectors

Data Processing

Data Editing

The data collected from the selected households were entered on computers using the CSPro 4.0 software program by five data entry operators and one data entry supervisor from 10 September to 10 October 20125. In order to ensure quality control, all questionnaires were double entered and internal consistency checks were performed before finalization of the database. Procedures and standard programs developed under the the global MICS4 programme and adapted to the Khuvsgul CDS questionnaires with additional module and questions were used throughout.
The data were analyzed using the standard SPSS 18.0 (Statistical Package for Social Sciences) software program and the model syntax and tabulation plans developed by UNICEF were customized for this purpose according to the Khuvsgul CDS 2012 questionnaires.

Data Appraisal

Estimates of Sampling Error

The sample of respondents selected in the Khuvsgul Aimag Child development survey 2012 is only one of the samples that could have been selected from the same population, using the same design and size. Each of these samples would yield results that slightly differ somewhat from the results of the actual sample selected. Sampling errors are a measure of the variability between the estimates from all possible samples. The extent of variability is not known exactly, but can be estimated statistically from the survey data.
The following sampling error measures are presented in this appendix for each of the selected indicators:

- Standard error (se): Sampling errors are usually measured in terms of standard errors for particular indicators (means, proportions etc). Standard error is the square root of the variance of the estimate. The Taylor linearization method is used for the estimation of standard errors.
- Coefficient of variation (se/r) is the ratio of the standard error to the value of the indicator, and is a measure of the relative sampling error.
- Design effect (deff) is the ratio of the actual variance of an indicator, under the sampling method used in the survey, to the variance calculated under the assumption of simple random sampling. The square root of the design effect (deft) is used to show the efficiency of the sample design in relation to the precision. A deft value of 1.0 indicates that the sample design is as efficient as a simple random sample, while a deft value above 1.0 indicates the increase in the standard error due to the use of a more complex sample design.
- Confidence limits are calculated to show the interval within which the true value for the population can be reasonably assumed to fall, with a specified level of confidence. For any given statistic calculated from the survey, the value of that statistic will fall within a range of plus or minus two times the standard error (r + 2.se or r – 2.se) of the statistic in 95 percent of all possible samples of identical size and design.

For the calculation of sampling errors from CDS data, SPSS Version 18 Complex Samples module has been used. The results are shown in the tables that follow. In addition to the sampling error measures described above, the tables also include weighted and unweighted counts of denominators for each indicator.
Sampling errors are calculated for the aimag results. Three of the selected indicators are based on households, 24 are based on household members, 53 are based on women, 34 are based on men, 40 are based on children under 5 and 2 are based on children age 2-14 years. All indicators presented here are in the form of proportions.