Multiple Indicator Cluster Survey 2014
Kyrgyz Republic, 2014
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KGZ_2014_MICS_v01_M
Multiple Indicator Cluster Survey 2014
| Name | Country code |
|---|---|
| Kyrgyz Republic | KGZ |
Multiple Indicator Cluster Survey - Round 5 [hh/mics-5]
Since its inception in 1995, the Multiple Indicator Cluster Surveys, known as MICS, has become the largest source of statistically sound and internationally comparable data on women and children worldwide. In countries as diverse as Costa Rica, Mali and Qatar, trained fieldwork teams conduct face-to-face interviews with household members on a variety of topics - focusing mainly on those issues that directly affect the lives of children and women. MICS has been a major source of data on the Millennium Development Goals (MDG) indicators and will be a major data source in the post-2015 era.
The Multiple Indicator Cluster Survey, Round 5 (MICS5) is the fifth round of MICS surveys, previously conducted around 1995 (MICS1), 2000 (MICS2), 2005-2007 (MICS3) and 2009-2011 (MICS4). MICS was originally developed to support countries measure progress towards an internationally agreed set of goals that emerged from the 1990 World Summit for Children.
The fifth round of Multiple Indicator Cluster Surveys (MICS5) is scheduled for 2013-2016 and survey results are expected to be available from 2015 onwards. Data collected in MICS5 will play a critical role in the final assessment of the MDGs in September 2015 and subsequent surveys in MICS6 will provide the baselines for the Sustainable Development Goals that will follow.
Information on more than 130 internationally agreed-upon indicators is being collected through MICS5. In addition to collecting information on intervention coverage, MICS also explores knowledge of and attitudes to certain topics, and specific behaviors of women, men and children, enabling analysts to gain insights into behaviours that may affect women's and children's lives. MICS routinely disaggregates data so that disparities associated with age, gender, education, wealth, location of residence, ethnicity and other characteristics are revealed.
The Kyrgyzstan Multiple Indicator Cluster Survey (MICS) was carried out in 2014 by the National Statistics Committee of the Kyrgyz Republic, as part of the global MICS programme. Technical support was provided by the United Nations Children’s Fund (UNICEF). UNICEF and UNFPA provided financial support.
The global MICS programme was developed by UNICEF in the 1990s as an international household survey programme to support countries in the collection of internationally comparable data on a wide range of indicators on the situation of children and women. MICS surveys measure key indicators that allow countries to generate data for use in policies and programmes, and to monitor progress towards the Millennium Development Goals (MDGs) and other internationally agreed upon commitments. The 2014 Kyrgyzstan MICS presents up-to-date information for assessing the situation of children and women as well as to provide data for monitoring existing strategies and action plans. This MICS will also furnish data for designing future programme interventions and support evidence based planning.
Sample survey data [ssd]
- Individuals
- Households
Version
- v01: Edited, anonymous datasets for public distribution.
Scope
The scope of the Multiple Indicator Cluster Survey includes:
- Household: List of Household Members, Education, Child Labour, Child Discipline, Household Characteristics, Water and Sanitation, Handwashing and Salt Iodization;
- Women: Woman's Background, Access to Mass Media and Use of Information/Communication Technology, Fertility/Birth History, Desire for Last Birth, Maternal and Newborn Health, Post-natal Health Checks, Illness Symptoms, Contraception, Unmet Need, Attitudes Toward Domestic Violence, Marriage/Union, HIV/AIDS, Tobacco and Alcohol Use, and Life Satisfaction;
- Children: Age, Birth Registration, Early Childhood Development, Breastfeeding and Dietary Intake, Immunization, Care of Illness and Anthropometry.
Coverage
National
The survey covered all de jure household members (usual residents), all women aged between 15-49 years, all children under 5 living in the household.
Producers and sponsors
| Name |
|---|
| National Statistics Committee of the Kyrgyz Republic |
| United Nations Children’s Fund |
| Name | Role |
|---|---|
| United Nations Children’s Fund | Financial support |
| United Nations Population Fund | Financial support |
Sampling
The primary objective of the sample design for the 2014 Kyrgyzstan MICS was to produce statistically reliable estimates of most indicators, at the national, urban/rural and 9 regions (7 oblasts and Bishkek and Osh cities). Urban and rural areas in each of the seven regions (Batken, Chui, Djalal-abad, Issyk-Kul, Naryn, Osh and Talas oblasts) were defined as the sampling strata. A twostage, stratified cluster sampling approach was used for the selection of the survey sample.
The sample size for the 2014 Kyrgystan MICS was calculated as 7,200 households. For the calculation of the sample size, the key indicator used was the stunting rate among children under five.
The number of households selected per cluster for the 2014 Kyrgyzstan MICS was determined as 18 households, based on a number of considerations, including the design effect, the budget available, and the time that would be needed per team to complete one cluster. Dividing the total number of households by the number of sample households per cluster, it was calculated that 400 sample clusters would need to be selected.
The sample of 400 clusters (PSUs) was initially allocated equally over the nine regions with the final sample size calculated as 7,200 households (400 clusters * 18 sample households per cluster). Within regions the sample was allocated proportionally over urban and rural areas. The initial allocation was adjusted in two cases. First: the sample was expanded by six PSUs in Jalalabad oblast and reduced with the same number in Osh city. The rationale for this is that Jalalabad is a large region area with some heterogeneity in "way of living" over the region and Osh City is much more homogeneous. Second: in Osh Region the allocation between urban and rural was adjusted by increasing the urban sample by three PSUs (and reducing the rural sample by three).
The 2009 census frame was used for the selection of clusters. Census enumeration areas were defined as primary sampling units (PSUs), and were selected from each of the sampling strata by using systematic probability-proportional-to-size sampling procedures, based on the number of households in each enumeration area from the 2009 Population and Housing Census frame. The sample was selected in two stages. The first stage of sampling was thus completed by selecting the required number of enumeration areas from each of the seven regions, separately for the urban and rural strata. At the second stage, within the selected enumeration areas (clusters), a household listing was carried out and a systematic sample of 18 households was then drawn in each PSU.
Since the sampling frame (the 2009 census) was not up-to-date, a new listing of households was conducted in all the sample enumeration areas prior to the selection of households. For this purpose, listing teams were formed who visited all of the selected enumeration areas and listed all households in the enumeration areas. They were provided with census enumeration area maps. A separate three day listing training including a pilot in both urban and rural areas was conducted in March 2014 according to recommended MICS procedures. A total of 18 listing teams were utilised for the listing exercise to cover the 400 EAs over March and April 2014.
The sampling procedures are more fully described in appendix A of "Multiple Indicator Cluster Survey 2014 - Final Report" pp.213-215.
The 2014 Kyrgyzstan MICS sample was not self-weighting. Essentially different sampling fractions were used in each region since the sizes of the regions varied. For this reason, sample weights were calculated and these were used in the subsequent analyses of the survey data.
The major component of the weight is the reciprocal of the sampling fraction employed in selecting the number of sample households in that particular sampling stratum and PSU.
A final component in the calculation of sample weights takes into account the level of nonresponse for the household and individual interviews. The adjustment for household non-response in each stratum is equal to 1/RRh
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. 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 roster of household members in the Household Questionnaire for households where interviews were completed.
The design weights for the households were calculated by multiplying the inverse of the probabilities of selection by the non-response adjustment factor for each enumeration area. These weights were then standardized (or normalized), 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. Normalization is achieved by dividing the full sample weights (adjusted for non-response) 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 standardization procedure was followed in obtaining standardized weights for the individual women, men, and under-5 questionnaires. Adjusted (normalized) weights varied between 0.107229 to 3.434932 in the 400 sample enumeration areas (clusters).
Sample weights were appended to all data sets and analyses were performed after weighting households, women, or under-5s with these sample weights.
Survey instrument
Three sets of questionnaires were used in the survey: 1) a household questionnaire which was used to collect basic demographic information on all de jure household members (usual residents), the household, and the dwelling; 2) a questionnaire for individual women administered in each household to all women age 15-49 years; 3) an under-5 questionnaire, administered to mothers (or caretakers) for all children under 5 living in the household, as well as a form for collecting vaccination records at Health Facilities for children under 3.
The Household Questionnaire included the following modules:
- List of Household Members
- Education
- Child Labour
- Child Discipline
- Household Characteristics
- Water and Sanitation
- Handwashing
- Salt Iodization
The Questionnaire for Individual Women was administered to all women age 15-49 years living in the households, and included the following modules:
- Woman’s Background
- Access to Mass Media and Use of Information/Communication Technology
- Fertility/Birth History
- Desire for Last Birth
- Maternal and Newborn Health
- Post-natal Health Checks
- Illness Symptoms
- Contraception
- Unmet Need
- Attitudes Toward Domestic Violence
- Marriage/Union
- HIV/AIDS
- Tobacco and Alcohol Use
- Life Satisfaction
The Questionnaire for Children Under Five was administered to mothers (or caretakers) of children under 5 years of age3 living in the households. Normally, the questionnaire was administered to mothers of under-5 children; in cases when the mother was not listed in the household roster, a primary caretaker for the child was identified and interviewed. The questionnaire included the following modules:
- Age
- Birth Registration
- Early Childhood Development
- Breastfeeding and Dietary Intake
- Immunization
- Care of Illness
- Anthropometry
For all children age 0-2 years with a completed Questionnaire for Children Under Five an additional form, the Questionnaire Form For Vaccination Records At Health Facility, was used to record vaccinations from the registers at health facilities.
The questionnaires are based on the MICS5 model questionnaire. From the MICS5 model English version, the questionnaires were customised and translated into Kyrgyz and Russian and were pretested in Bishkek city and the Chui oblast during February-March of 2014. Based on the findings of the pre-test, modifications were made to the wording and translation of the questionnaires.
Data collection
| Start | End |
|---|---|
| 2014-04-24 | 2014-06-30 |
| Name |
|---|
| National Statistics Committee of the Kyrgyz Republic |
There is one supervisor for each of the 9 data collection teams in the field.
Training for the fieldwork was conducted for 13 days on 7-19 April 2014. Training included lectures on interviewing techniques and the contents of the questionnaires, role games and mock interviews between trainees to gain practice in asking questions and regular oral and written quizzes. Towards the end of the training period, trainees spent three days in practice interviewing in the Issyk-Kul oblast.
The data were collected by 9 teams; each was comprised of 4 interviewers, one driver, one editor, one measurer and a supervisor. Fieldwork began on 24 April 2014 and concluded in late June of 2014.
Data processing
Data were entered using the CSPro software, version 5.0, under supervision of the data entry supervisor. The data were entered on 14 desktop computers and carried out by 14 data entry operators and 2 data entry editors. For quality assurance purposes, all questionnaires were doubleentered and internal consistency checks were performed. Procedures and standard programs developed under the global MICS programme and adapted to the Kyrgyzstan questionnaires were used throughout. Data processing began simultaneously with data collection on 6 May and concluded early in July 2014. Data were analysed using the Statistical Package for Social Sciences (SPSS) software, Version 20. Model syntax and tabulation plans developed by UNICEF were customized and used for this purpose.
Data appraisal
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): Standard error is the square root of the variance of the estimate. For survey indicators that are means, proportions or ratios, the Taylor series linearization method is used for the estimation of standard errors. For more complex statistics, such as fertility and mortality rates, the Jackknife repeated replication method is used for standard error estimation.
- Coefficient of variation (se/r) is the ratio of the standard error to the value (r) 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 based on the same sample size. 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 of the survey is as efficient as a simple random sample for a particular indicator, while a deft value above 1.0 indicates an 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 MICS data, programs developed in CSPro Version 5.0,SPSS Version 21 Complex Samples module and CMRJack61 have been used.
The findings 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. Given the use of normalized weights, by comparing the weighted and unweighted counts it is possible to determine whether a particular domain has been under-sampled or oversampled compared to the average sampling rate. If the weighted count is smaller than the unweighted count, this means that the particular domain had been over-sampled.
Sampling errors are calculated for indicators of primary interest, for the national level, for urban and rural areas, and for all regions. Ten of the selected indicators are based on households members, 17 are based on women, and 12 are based on children under 5.
A series of data quality tables are available to review the quality of the data and include the following:
- Age distribution of household population
- Age distribution of eligible and interviewed women
- Age distribution of children in household and under-5 questionnaires
- Birth date reporting: Household population
- Birth date and age reporting: Women
- Birth date and age reporting: Under-5s
- Birth date reporting: Children, adolescents and young people
- Birth date reporting: First and last births
- Completeness of reporting
- Completeness of information for anthropometric indicators: Underweight
- Completeness of information for anthropometric indicators: Stunting
- Completeness of information for anthropometric indicators: Wasting
- Heaping in anthropometric measurements
- Observation of birth certificates
- Observation of vaccination cards
- Observation of women's health cards
- Observation of the place for handwashing
- Respondent to the under-5 questionnaire
- Selection of children age 1-17 years for the child labour and child discipline modules
- School attendance by single age
- Sex ratio at birth among children ever born and living
- Births by periods preceding the survey
- Reporting of age at death in days
- Reporting of age at death in months
The results of each of these data quality tables are shown in appendix D in document "Multiple Indicator Cluster Survey 2014 - Final Report" pp.248-262.
Access policy
UNICEF
UNICEF
http://mics.unicef.org/surveys
Cost: None
Depositor information
| Name |
|---|
| United Nations Children's Fund |
Data Access
| Name | Affiliation | URL | |
|---|---|---|---|
| Childinfo | UNICEF | http://www.childinfo.org/mics4_surveys.html | mics@unicef.org |
Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download.
Example,
United Nations Children's Fund, National Statistics Committee of the Kyrgyz Republic. Kyrgyz Republic Multiple Indicator Cluster Survey (MICS) 2014, Ref. KGZ_2014_MICS_v01_M. Dataset downloaded from [url] on [date].
Disclaimer and copyrights
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Contacts
| Name | Affiliation | |
|---|---|---|
| Mr. Muktar Minbaev | UNICEF | mminbaev@unicef.org |
| Ms. Galina Samohleb | National Statistics Committee | gsamohleb@stat.kg |
Metadata production
DDI_KGZ_2014_MICS_v01_M_WB
| Name | Affiliation | Role |
|---|---|---|
| Development Data Group | The World Bank | Documentation of the DDI |
2016-04-22
Metadata version
Version 01 (April 2016)