Multiple Indicator Cluster Survey 2011
Bosnia-Herzegovina, 2011 - 2012
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BIH_2011_MICS_v01_M
Multiple Indicator Cluster Survey 2011
Istrazivanje visestrukih pokazatelja 2010
| Name | Country code |
|---|---|
| Bosnia and Herzegovina | BIH |
Multiple Indicator Cluster Survey - Round 4 [hh/mics-4]
The Multiple Indicator Cluster Survey, Round 4 (MICS4) is the forth round of MICS surveys, previously conducted around 1995 (MICS1), 2000 (MICS2), and 2005-2007 (MICS3). 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 fourth round of Multiple Indicator Cluster Surveys (MICS4) is scheduled for 2009-2011 and survey results are expected to be available from 2010 onwards. MICS4 data allow countries to better monitor progress toward national goals and global commitments, including the Millennium Development Goals (MDGs) as the target year 2015 approaches.
Information on more than 20 of the MDG indicators is being collected through MICS4, offering one of the largest single sources of data for MDG monitoring. MICS4 continues to address emerging issues and new areas of interest, with validated, standard methodologies in collecting relevant data. It also helps countries capture rapid changes in key indicators.
The survey was undertaken as part of the fourth global round of the MICS programme and implemented by the Federal Ministry of Health (FMH) and the Ministry of Health and Social Welfare of the Republic of Srpska (MHSW RS) in cooperation with the Institute for Public Health of the FBiH (IPH FBiH) and the Agency for Statistics of BiH (BHAS). Financial and technical support was provided by UNICEF with additional financial support provided by UN Women for preparing the master sample frame, as well as by UNFPA and UNHCR.
The primary aim of MICS is to provide indicators for monitoring the level of progress towards the Millennium Development Goals, the Plan of Action for A World Fit for Children as well as other international and national commitments undertaken by BiH. The survey findings are presented from the equity perspective by indicating disparities in accordance with administrative units, sex, area type, the level of education of the respondent or head of the household, household wealth and other characteristics.
Sample survey data [ssd]
- individuals
- households
Version
- v01: Edited, anonymous datasets for public distribution.
Scope
The scope of the Bosnia and Herzegovina Multiple Indicator Cluster Survey includes:
- Household: household listing form, education, water and sanitation, household characteristics, child discipline and hand washing.
- Women: woman's background, access to mass media and ICT, child mortality, desire for last birth, maternal and newborn health, illness symptoms, contraception, unmet need, attitudes toward domestic violence, marriage/union, sexual behavior, HIV/AIDS, tobacco and alcohol use, life satisfaction and health care.
- Children: child's age, early childhood development, breastfeeding, care of illness, immunisation and anthropometry.
- Men: man's background, access to mass media and ICT, attitudes toward domestic violence, marriage/union, sexual behavior, HIV/AIDS, tobacco and alcohol use, life satisfaction and health care.
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, and all men aged 15-49 years.
Producers and sponsors
| Name |
|---|
| United Nations Children’s Fund |
| Federal Office of Statistics |
| Republic of Srpska Institute of Statistics |
| Agency for Statistics of Bosnia and Herzegovina |
| Name | Role |
|---|---|
| United Nations Children’s Fund | Financial and technical support |
| United Nations Entity for Gender Equality and the Empowerment of Women | Financial and technical support |
| United Nations Population Fund | Financial support |
| UN Refugee Agency | Financial support |
Sampling
The primary objective of the sample design for the BiH Multiple Indicator Cluster Survey was to produce statistically reliable estimates of most indicators at the BiH, FBiH and RS level and for urban and rural areas. A two stage stratified sampling approach was used for the selection of the cluster sample.
The official population estimate for BiH is 3.8 million inhabitants living in about one million households. However, some sampling frame exercises conducted due to the lack of an official Census since 1991 estimate this number at approximately 3.3 million.
As stated previously, BiH is composed of three administrative units: two entities, the FBiH and RS and a third administrative unit, BD. The FBiH covers approximately 51 per cent of the territory of BiH and 62 per cent of the population. RS covers approximately 49 per cent of the territory and about 36 per cent of the population and BD covers less than 1 per cent of the territory and approximately 2 per cent of the population.
The target sample size was 6,800 households, which was determined based on lessons learned through the previous round of MICS as well as by budgetary limitations. The standard sample design used in most of the countries participating in the MICS programme needed to be adapted for BiH due to the low birth rate; therefore, it was necessary to target (oversample) households with children under 5 and members aged 5-24.
Accordingly, the sample was stratified by households with children under 5 (type 1), households with children aged 5-24 (type 2) and all other households (type 3). In addition, the size of the three strata could not jeopardise the indicator estimates for the other target populations, such as the indicators that referred to fertile women.
As the sample size was defined as 6,800 households it was necessary to calculate the size of stratum 1 and stratum 2. The size of stratum 3 was obtained as the difference between the total sample size and the sum of the size of strata 1 and 2.
The sampling procedures are more fully described in "Bosnia and Herzegovina Multiple Indicator Cluster Survey 2011 - Final Report" pp.150-153.
Of the 6,838 households in the sample 6,334 were found to be occupied; of these, 5,778 households were successfully interviewed for a household response rate of 91 percent. In the interviewed households 4,645 women aged 15-49 were identified and 4,446 successfully interviewed, yielding a response rate of 96 percent. In addition, 4,718 men aged 15-49 were listed in the household questionnaire as being household members. Questionnaires were completed for 4,353 eligible men, which corresponds to a response rate of 92 percent within the interviewed households. There were 2,332 children under age five listed in the household questionnaire. Questionnaires were completed for 2,297 children, which corresponds to a response rate of 99 percent within the interviewed households. The overall response rate for the women’s, men’s and children’s questionnaires were 87 percent, 84 percent, and 90 percent, respectively.
The BiH Multiple Indicator Cluster Survey sample is not self-weighting. Essentially, by allocating households in all three strata different sampling fractions were obtained by strata due to the variability in size of strata. The weights calculated were used in the subsequent analyses of the survey data.
Since the PSUs were selected with equal probability in each stratum during the first stage and that all listed households in each second stage stratum were combined across sampled clusters the weights were calculated using a combination of the first and second stage strata (for a total of 9 groups).
In order to calculate first stage selection probabilities the number of sampled EAs (PSUs) in each stratum was divided by the total number of EAs from the 2009 Master Sample.57 The second stage selection probability was obtained by dividing the number of valid households (secondary sampling units (SSUs)) selected in each second stage stratum by the total number of households listed in the stratum. Table SD.5 shows the first stage selection probabilities of PSUs by stratum and the second stage probability of SSUs in each stratum.
A second component in the calculation of sample weights took into account the level of non-response for the household and individual interviews.
Survey instrument
The questionnaires for the Generic MICS were structured questionnaires based on the MICS4 model questionnaire with some modifications and additions. Household questionnaires were administered in each household, which collected various information on household members including sex, age and relationship. The household questionnaire includes household listing form, education, water and sanitation, household characteristics, child discipline and hand washing.
In addition to a household questionnaire, questionnaires were administered in each household for women age 15-49, children under age five and men age 15-49. For children, the questionnaire was administered to the mother or primary caretaker of the child.
The women's questionnaire includes woman's background, access to mass media and ICT, child mortality, desire for last birth, maternal and newborn health, illness symptoms, contraception, unmet need, attitudes toward domestic violence, marriage/union, sexual behavior, HIV/AIDS, tobacco and alcohol use, life satisfaction and health care.
The children's questionnaire includes child's age, early childhood development, breastfeeding, care of illness, immunisation and anthropometry.
The men's questionnaire includes man's background, access to mass media and ICT, attitudes toward domestic violence, marriage/union, sexual behavior, HIV/AIDS, tobacco and alcohol use, life satisfaction and health care.
The questionnaires were based on the MICS4 model questionnaire.19 From the MICS4 model English version, the questionnaires were translated into local languages used in BiH. The questionnaires were pre-tested in the FBiH and RS in the City of Banja Luka and in Sarajevo Canton during September 2011. The pre-test plan provided for interviews to be conducted in 48 households in the FBiH and 24 households in RS. The households, of which 50 per cent were urban and rural households respectively, were randomly selected from the Master Sample template. Based on the results of the pre-test, modifications were made to the wording and translation of the questionnaires.
Data collection
| Start | End | Cycle |
|---|---|---|
| 2011-11 | 2012-02 | Federation of BiH |
| 2011-11 | 2012-03 | Republic of Srpska |
| Name |
|---|
| Federal Office of Statistics |
| Republic of Srpska Institute of Statistics |
| Agency for Statistics of Bosnia and Herzegovina |
There is one supervisor for each of the 12 data collection teams in the field.
Training for the fieldwork was conducted over 12 days during October 2011 for the survey teams in the FBiH and in November 2011 for the survey teams working in RS and BD. Training included lectures on interviewing techniques and the content of the questionnaires as well as practical work on presenting the questions. Towards the end of the training period the trainees spent two days conducting practice interviews in urban and rural areas in the City of Banja Luka and Sarajevo Canton.
The fieldwork was conducted by eight teams in the FBiH and 4 teams in RS. These teams were generally comprised of 3 interviewers (two female and one male), one editor, one measurer and a supervisor. In some cantons in the FBiH the size of the team was determined by the number of households to be interviewed during the fieldwork. Fieldwork in the FBiH began in November 2011 and was concluded in February 2012, while fieldwork in RS began in November 2011 and was concluded in March 2012.
Data processing
Data entry and processing was conducted separately for the FBiH, RS and BD. The data was entered using CSPro software. Data was entered into a total of 11 microcomputers by 8 data entry operators in the FBiH and 6 persons in RS; the process was supervised by data entry supervisors.
Data entry commenced in the FBiH four weeks after the start of data collection (December 2011) and was concluded in April 2012. In RS data entry for the RS and BD started one week after data collection began (December 2011) and was concluded in May 2012.
The data was analysed using the SPSS (Statistical Package for Social Sciences) software programme (Version 18) and the model syntax and tabulation plans developed by UNICEF were also used for this purpose. In order to ensure quality control all of the questionnaires were double entered and internal consistency checks were performed. Procedures and standard programmes developed under the global MICS4 programme and adapted to the BiH questionnaires were used throughout.
Data appraisal
The sample of respondents selected for the BiH MICS was 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 have yielded results that differed somewhat from the results of the actual selected sample. 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 sampling error measures below 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 was 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 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 per cent of all possible samples of identical size and design.
The SPSS Version 18 Complex Samples Module was used for the calculation of sampling errors within the MICS data. The results are shown in the tables that follow. In addition to the sampling error, the measures described above, the tables also include weighted and unweighted counts of denominators for each indicator.
Sampling errors were calculated for indicators of primary interest, for the BiH, FBiH, RS and BD level and for urban and rural areas. Five of the selected indicators were based on household members, 17 were based on women, 9 were based on men and 16 were based on children under 5. All indicators presented here are in the form of proportions.
A series of data quality tables are available to review the quality of the data and include the following:
- Age distribution of the household population
- Age distribution of eligible and interviewed women
- Age distribution of eligible and interviewed men
- Age distribution of children under 5 in household and children under 5 questionnaires
- Women’s completion rates by socio-economic characteristics of households
- Men’s completion rates by socio-economic characteristics of households
- Completion rates for under-5 questionnaires by socio-economic characteristics of households
- Completeness of reporting
- Completeness of information for anthropometric indicators
- Heaping in anthropometric measurements
- Observation of places for hand washing
- Observation of vaccination cards
- Presence of mother in the household and the person interviewed for the under-5 questionnaire
- Selection of children age 2–14 years for the child discipline module
- School attendance by single age
The results of each of these data quality tables are shown in appendix D in document "Bosnia and Herzegovina Multiple Indicator Cluster Survey 2011 - Final Report" pp.174-183.
Data Access
| Name | Affiliation | URL | |
|---|---|---|---|
| Childinfo | UNICEF | http://www.childinfo.org/mics4_surveys.html | mics@unicef.org |
| Is signing of a confidentiality declaration required? | Confidentiality declaration text |
|---|---|
| yes | Users of the data agree to keep confidential all data contained in these datasets and to make no attempt to identify, trace or contact any individual whose data is included in these datasets. |
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,
Federal Office of Statistics, Republic of Srpska Institute of Statistics, Agency for Statistics of Bosnia and Herzegovina and United Nations Children’s Fund. Bosnia and Herzegovina Multiple Indicator Cluster Survey (MICS) 2011, Ref. BIH_2011_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 | |
|---|---|---|
| Saliha Djuderija | Ministry for Human Rights and Refugees of Bosnia and Herzegovina | Saliha.Djuderija@mhrr.gov.ba |
| Zdenko Milinovic | Agency for Statistics of BiH | bhas@bhas.ba |
| Aida Pilav | Federal Ministry of Health | aida.pilav@fmoh.gov.ba |
| Amela Lolic | Ministry of Health and Social Welfare of Republika Srpska | a.lolic@mzsz.vladars.net |
| Irena Jokic | Institute for Public Health of the Federation of Bosnia and Herzegovina | i.jokic@zzjzfbih.ba |
| Florence Bauer | UNICEF Office for Bosnia and Herzegovina | fbauer@unicef.org |
| Sabina Zunic | UNICEF Office for Bosnia and Herzegovina | szunic@unicef.org |
Metadata production
DDI_BIH_2011_MICS_v01_M_WB
| Name | Affiliation | Role |
|---|---|---|
| Development Data Group | The World Bank | Documentation of the DDI |
2013-10-24
Metadata version
Version 01 (October 2013)