OVIERVIEW

STUDY TYPE

Social Indicator Sample Survey

SERIES INFORMATION

2000, 2005, 2010, 2013, 2018

ID NUMBER

DDI-MNG-NSO-EN-SISS-2018-v1.0

Version

VERSION DESCRIPTION

Version 1.0

PRODUCTION DATE

2019-08-02

Overview

ABSTRACT

     In Mongolia, the first MICS was conducted in 1996 by the National Statistical Office (NSO) of Mongolia. Since then, the second, third and fourth MICS were conducted, respectively, in 2000, 2005 and 2010 with the joint funding support from the Government of Mongolia and UNICEF. In 2013 NSO conducted the Social Indicator Sample Survey (SISS), applying MICS5 platform in collaboration with UNICEF and UNFPA. MICS was already covering some of the SDG indicators that are household-based. After undergoing rigorous methodological and validation work to broaden the scope of the tools and include new topics that reflect SDG indicators and emerging issues in the 2030 Agenda for Sustainable Development context, MICS questionnaires in the sixth round will cover about 40 percent of household-based SDG indicators. Over the past 20 years MICS has evolved to respond to changing data needs, expanding from 28 indicators in the first round to 200 indicators in the current sixth round, and becoming a key source of data on child protection, early childhood education, and a major source of data on child health and nutrition.

Following objectives will be carried out in order to achieve the goal:

1. Provide child-friendly environment with granted rights to safe and healthy environment.

2. Build an environment suitable for discovery and development of talent and skills of all children

3. Cultivate mindset of listening to and respecting children's opinions in society, increase involvement of children in formulation, implementation and evaluation of policies.

4. Protect children from discrimination, pressure, violence, all forms of abuse and risks in all social environments.

5. Reduce child deprivation, including income and non-income poverty, by supporting welfare and social security for equality.

KIND OF DATA

Sample survey data [ssd]

UNITS OF ANALYSIS

Household and family members

Scope

NOTES

The scope of the Social Indicator Sample survey includes:

     - HOUSEHOLD: Household characteristics, household listing, education, child labour, water and sanitation, household use of insecticide treated mosquito nets, and salt iodization, with optional modules for child discipline, child disability, maternal mortality and     security of tenure and durability of housing.

     - WOMEN: Women's characteristics, child mortality, marriage, fertility/ birth history, maternal and new born health, attitudes towards domestic violence, tobacco and alcohol use and HIV/AIDS knowledge, with optional modules for unmet need and sexual behavior.

     - MEN: Men's characteristics, marriage, fertility/ birth history, maternal and new born health, attitudes towards domestic violence, tobacco and alcohol use and HIV/AIDS knowledge, with optional modules for unmet need and sexual behavior.

     - CHILDREN: Children's characteristics, birth registration and early learning, vitamin A, breastfeeding, immunization, and with an optional module for child development.

Coverage

GEOGRAPHIC COVERAGE

To derive baseline estimates for the Government of Mongolia and UNICEF Country Programme 2017-2021 geographic focus areas as well as previous and featured focus areas, more sample will be allocated to Bayan-Ulgii, Gobi-Altai, Zavkhan, Bayankhongor and Khuvsgul provinces and Bayanzurkh, Nalaikh districts in Ulaanbaatar. Also, as UNFPA Country office request, more sample will be allocated to Umnugovi province.
 

UNIVERSE

The survey covered all household members (usual residents), all women aged 15-49 years resident in the household, all men aged 15-49 years resident in the household, all children aged 5-17 years resident in the household and all children aged 0-4 years (under age 5) resident in the household.

Producers and Sponsors

PRIMARY INVESTIGATOR(S)

FUNDING

Metadata Production

METADATA PRODUCED BY

DATE OF METADATA PRODUCTION

2019-08-02

DDI DOCUMENT VERSION

v1.0

DDI DOCUMENT ID

DDI-MNG-NSO-EN-SISS-2018-v1.0

SAMPLING PROCEDURE

     The Mongolia Social Indicator Sample Survey (SISS) is household based, and the last-stage sample units are individual households. The sample for the SISS 2018 was designed to provide estimates for a large number of indicators on the situation of children and women and men at the national, urban and rural areas, five regions (Eastern, Western, Central, Khangai and Ulaanbaatar) and eight target provinces/ districts (provinces of Bayan-Ulgii, Bayankhongor, Gobi-Altai, Zavkhan, Umnugovi, Khuvsgul and districts of Bayanzurkh and Nalaikh). A sample of 14,500 households were selected country-wide. The sample size (number of households) within each region was first determined by applying the square root allocation. The sample size was then adjusted for individual provinces and districts that are domains. A two-stage, stratified cluster sampling approach was used for the selection of the survey sample. The sampling frame was based on the 2017 Population and Household Database (PHDB). The primary sampling units (PSUs) selected at the first stage were the enumeration areas (EAs) defined for this survey. The EAs were selected systematically with probability proportional to size within each stratum, from the full list of EAs in the frame. After a household listing was carried out in the sampled EAs during the period of August - September 2018, a systematic sample of 25 households was selected from each PSU.
 

WEIGHTING

     The SISS sample is not self-weighting, partly because different sampling fractions were used in each stratum. For this reason, sample weights were calculated and used in the subsequent analyses of the survey data. After the completion of fieldwork, response rates were calculated for each sampling stratum. These were used to adjust the sample weights calculated for each cluster. Response rates in the SISS are shown in Table SR.1.1 in this report. The non-response adjustment factors for the individual women and under-5 questionnaires were applied to the adjusted household weights. Numbers of eligible women and under-5 children were obtained from the list of household members in the Household Questionnaire for households where interviews were completed The weights for the questionnaire for individual men were calculated in a similar way. In this case the number of eligible men in the list of household members in all the SISS sample households in the stratum was used as the numerator of the non-response adjustment factor, while the number of completed questionnaires for men in the stratum was obtained from the 50 percent subsample of households. Therefore, this adjustment factor includes an implicit subsampling weighting factor of 2 in addition to the adjustment for the non-response to the individual questionnaire for men. In the case of the questionnaire for children age 5-17 years, in each sample household, one child was randomly selected from all the children in this age group recorded in the list of household members. The household weight for the children age 5-17 years is first adjusted based on the response rate for this questionnaire at the stratum level. Once this adjusted household weight is normalised as described below, it is multiplied by the number of children age 5-17 years recorded in the list of household members. Therefore, the weights for the individual children age 5-17 years will vary by sample household. This weighting of the data for the children age 5-17 years old is implemented in the tabulation programs for the corresponding tables. For the water quality testing (both in household and at source) a subsample of 5 households was selected from the 25 SISS sample households in each sample cluster. The SISS full (raw) weights for the households were calculated by multiplying the inverse of the probabilities of selection by the non-response adjustment factor for each stratum. These weights were then standardised (or normalised), one purpose of which is to make the weighted sum of the interviewed sample units equal to the total sample size at the national level. Normalisation is achieved by dividing the full sample weights (adjusted for nonresponse) by the average of these weights across all households at the national level. This is performed by multiplying the sample weights by a constant factor equal to the unweighted number of households at the national level divided by the weighted total number of households (using the full sample weights adjusted for non-response). A similar standardisation procedure was followed in obtaining standardised weights for the individual women, men, under-5 and 5-17 years old children, and water quality testing. Adjusted (normalised) household weights varied between 0.1710 and 4.2085 in the 580 sample enumeration areas (clusters).

DATA COLLECTION

Data Collection Dates

Time Periods

Computer Assisted Personal Interview [capi]Data Collection Mode

DATA COLLECTION NOTES

PRE-TEST
     PAPI pre-testing was carried out in five locations, namely in Sukhbaatar soum, Khushaat soum in Selenge aimag, and in Nalaikh district of Ulaanbaatar during May 2018. Based on the results of the pre-test, modifications were made to the wording and coherence of the questions in questionnaires.

TRAINING
     Training for the fieldwork was conducted for 31 days from August 20th to September 19th, 2018. Training included lectures on interviewing techniques and the contents of the questionnaires, and mock interviews between trainees to gain practice in asking questions. Participants first completed full training on paper questionnaires for 20 days, followed by a 10-day training on the CAPI application. The trainees spent 4 days in field practice in total with 2 days of paper-based questionnaire and 2 days of data collection using tablets. The training agenda was based on the standard MICS6 training agenda. Complementary trainings such as disaster/first-aid training, dog aggression and communication, and team psychology were added to the agenda in view of country-specific reasons. Trainees received dedicated training on anthropometric measurements and water quality testing for a total of 4 days, including one day of field practice on each of the two tasks. Field Supervisors attended additional training on the duties of team supervision and responsibilities.

Plan of survey
     The data were collected by 19 teams; each was comprised of 5 interviewers (3 female and 2 male interviewers, male interviewers also operated as measurers ) 2 drivers and a supervisor. Fieldwork was conducted from September 21st in Ulaanbaatar and from October 3rd in local area until December 28th, 2018 lasting for 99 days.

Technology used to survey
     Data was collected using tablet computers running the Windows 10 operating system, utilising a Bluetooth application for field operations, enabling transfer of assignments and completed questionnaires between supervisor and interviewer tablets.

Data Collectors

DATA PROCESSING

Data Editing
     Data were received at the NSO's data server via the transfer application on the supervisors' tablets. Data from interviewers are batched on the supervisors' application via Bluetooth transfer, which is also used by supervisors for checking for irregularities. Whenever logistically possible, synchronisation was done daily. The central office communicated application updates to field teams through this system. Following the completion of fieldwork, data were edited according to editing process described in detail in the standard MICS6 Guidelines for Secondary Editing. Data were analysed using the Statistical Package for Social Sciences (SPSS) software, Version 24.0. Model syntax and tabulation plan developed by UNICEF were used with customisation for additional country-specific analyses.