Multiple Indicator Cluster Survey 2006
Bosnia-Herzegovina, 2006
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Reference ID
BIH_2006_MICS_v01_M
Producer(s)
Ministry of Health and Social Welfare Republika Srpska/FBiH Public Health Institute
Collection(s)
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Mar 21, 2011
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Sep 26, 2013
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Identification
Survey ID Number
BIH_2006_MICS_v01_M
Title
Multiple Indicator Cluster Survey 2006
Country/Economy
| Name | Country code |
|---|---|
| Bosnia and Herzegovina | BIH |
Study type
Multiple Indicator Cluster Survey - Round 3 [hh/mics-3]
Series Information
The Multiple Indicator Cluster Survey, Round 3 (MICS3) is the third round of MICS surveys, previously conducted around 1995 (MICS1) and 2000 (MICS2). Many questions and indicators are consistent and compatible with the prior round of MICS (MICS2) but less so with MICS1, although there have been a number of changes in definition of indicators between rounds. Details can be found by reviewing the indicator definitions.
Abstract
The Multiple Indicator Cluster Survey (MICS) is a household survey programme developed by UNICEF to assist countries in filling data gaps for monitoring human development in general and the situation of children and women in particular. MICS is capable of producing statistically sound, internationally comparable estimates of social indicators. The current round of MICS is focused on providing a monitoring tool for the Millennium Development Goals (MDGs), the World Fit for Children (WFFC), as well as for other major international commitments, such as the United Nations General Assembly Special Session (UNGASS) on HIV/AIDS and the Abuja targets for malaria.
Survey Objectives
The 2006 Bosnia and Herzegovina (BiH) Multiple Indicator Cluster Survey has as its primary objectives:
- To provide up-to-date information for assessing the situation of children and women in Bosnia and Herzegovina.
- To furnish data needed for monitoring progress toward goals established in the Millennium Declaration, the goals of A World Fit For Children (WFFC), and other internationally agreed upon goals, as a basis for future action;
- To contribute to the improvement of data and monitoring systems in Bosnia and Herzegovina and to strengthen technical expertise in the design, implementation, and analysis of such systems.
Survey Content
MICS questionnaires are designed in a modular fashion that can be easily customized to the needs of a country. They consist of a household questionnaire, a questionnaire for women aged 15-49 and a questionnaire for children under the age of five (to be administered to the mother or caretaker). Other than a set of core modules, countries can select which modules they want to include in each questionnaire.
The 2006 BiH Multiple Indicator Cluster Survey also included a module referring to household income and expenditure within the household questionnaire.
Survey Implementation
The survey was carried out by Ministry of Health and Social Welfare Republika Srpska and FBiH Public Health Institute, with the support and assistance of UNICEF and other partners. Technical assistance and training for the surveys is provided through a series of regional workshops, covering questionnaire content, sampling and survey implementation; data processing; data quality and data analysis; report writing and dissemination.
Survey Objectives
The 2006 Bosnia and Herzegovina (BiH) Multiple Indicator Cluster Survey has as its primary objectives:
- To provide up-to-date information for assessing the situation of children and women in Bosnia and Herzegovina.
- To furnish data needed for monitoring progress toward goals established in the Millennium Declaration, the goals of A World Fit For Children (WFFC), and other internationally agreed upon goals, as a basis for future action;
- To contribute to the improvement of data and monitoring systems in Bosnia and Herzegovina and to strengthen technical expertise in the design, implementation, and analysis of such systems.
Survey Content
MICS questionnaires are designed in a modular fashion that can be easily customized to the needs of a country. They consist of a household questionnaire, a questionnaire for women aged 15-49 and a questionnaire for children under the age of five (to be administered to the mother or caretaker). Other than a set of core modules, countries can select which modules they want to include in each questionnaire.
The 2006 BiH Multiple Indicator Cluster Survey also included a module referring to household income and expenditure within the household questionnaire.
Survey Implementation
The survey was carried out by Ministry of Health and Social Welfare Republika Srpska and FBiH Public Health Institute, with the support and assistance of UNICEF and other partners. Technical assistance and training for the surveys is provided through a series of regional workshops, covering questionnaire content, sampling and survey implementation; data processing; data quality and data analysis; report writing and dissemination.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Households (defined as a group of persons who usually live and eat together)
De jure household members (defined as memers of the household who usually live in the household, which may include people who did not sleep in the household the previous night, but does not include visitors who slept in the household the previous night but do not usually live in the household)
Women aged 15-49
Children aged 0-4
De jure household members (defined as memers of the household who usually live in the household, which may include people who did not sleep in the household the previous night, but does not include visitors who slept in the household the previous night but do not usually live in the household)
Women aged 15-49
Children aged 0-4
Version
Version Description
Version 1.0: Edited data used for final report
Version Date
2007-11-16
Scope
Notes
The BiH Multiple Indicator Cluster Survey included the following modules in the questionnaires:
HOUSEHOLD QUESTIONNAIRE : Household listing, education, water and sanitation, household characteristics,child labour, child discipline, child disability, household expenditure, and household income.
WOMEN'S QUESTIONNAIRE: Women's characteristics, marriage-union, contraception and unmet need, attitude toward domestic violence, sexual behavior, and HIV/AIDS knowledge.
CHILDREN'S QUESTIONNAIRE: Children's characteristics, birth registration and early learning, child development, breastfeeding, care of illness, immunization, and anthropometry.
HOUSEHOLD QUESTIONNAIRE : Household listing, education, water and sanitation, household characteristics,child labour, child discipline, child disability, household expenditure, and household income.
WOMEN'S QUESTIONNAIRE: Women's characteristics, marriage-union, contraception and unmet need, attitude toward domestic violence, sexual behavior, and HIV/AIDS knowledge.
CHILDREN'S QUESTIONNAIRE: Children's characteristics, birth registration and early learning, child development, breastfeeding, care of illness, immunization, and anthropometry.
Topics
| Topic | Vocabulary |
|---|---|
| Household members | MICS Topics |
| Education | MICS Topics |
| Water and sanitation | MICS Topics |
| Household characteristics | MICS Topics |
| Security of tenure | MICS Topics |
| Durability of housing | MICS Topics |
| Child labour | MICS Topics |
| Child discipline | MICS Topics |
| Disability | MICS Topics |
| Household expenditure | Country Cpecific Topics |
| Household incomes | Country Cpecific Topics |
| Women's background | MICS Topics |
| Maternal and newborn health | MICS Topics |
| Marriage and union | MICS Topics |
| Contraception and umnet need | MICS Topics |
| Attitudes towards domestic violence | MICS Topics |
| Sexual behaviour | MICS Topics |
| HIV/AIDS | MICS Topics |
| Support to children orphaned and made vulnerable by HIV/AIDS | MICS Topics |
| Children's background | MICS Topics |
| Birth registration | MICS Topics |
| Early learning | MICS Topics |
| Child development | MICS Topics |
| Breastfeeding | MICS Topics |
| Care of illness | MICS Topics |
| Immunization | MICS Topics |
| Anthropometry | MICS Topics |
Coverage
Geographic Coverage
The survey is nationally representative and covers the whole of Bosnia and Herzegovina.
Universe
The survey covered all de jure household members (usual residents), all women aged 15-49 years resident in the household, and all children aged 0-4 years (under age 5) resident in the household.
Producers and sponsors
Primary investigators
| Name |
|---|
| Ministry of Health and Social Welfare Republika Srpska/FBiH Public Health Institute |
Producers
| Name | Affiliation | Role |
|---|---|---|
| Directorate for Economic Planning Bosnia and Herzegovina Directorate for Economic Planning Bosnia and Herzegovina Directorate for Economic Planning Bosnia and Herzegovina Directorate for Economic Planning Bosnia and Herzegovina | Council of Ministers | Preparation of state final report |
| BiH Agency for Statistics | Preparation of sample frame | |
| Federal Office of Statistics | Technical implementation of sample frame on FBiH | |
| Statistical Office of Republika Srpska | Technical implementation of sample frame on FBiH | |
| UNICEF Bosnia and Herzegovina | UNICEF | Technical assistance |
| UNICEF Regional MICS coordinator | UNICEF | International technical assistance |
| UNICEF Regional M&E officer | UNICEF | International technical assistance |
| Strategic Information Section, Division of Policy and Planning, UNICEF NYHQ | UNICEF | International technical assistance |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| UNICEF | UNICEF | Funding of survey implementation |
| Department for International Development | DFID | Funding of survey implementation |
| Organisation for economic co-operation and development | OECD | Financial and technical support in data archiving |
Sampling
Sampling Procedure
The principal objective of the sample design was to provide current and reliable estimates on a set of indicators covering the four major areas of the World Fit for Children declaration, including promoting healthy lives; providing quality education; protecting against abuse, exploitation and violence; and combating HIV/AIDS. The population covered by the 2006 MICS is defined as the universe of all women aged 15-49 and all children aged under 5. A sample of households was selected and all women aged 15-49 identified as usual residents of these households were interviewed. In addition, the mother or the caretaker of all children aged under 5 who were usual residents of the household were also interviewed about the child.
The 2006 MICS collected data from a nationally representative sample of households, women and children. The primary focus of the 2006 MICS was to provide estimates of key population and health, education, child protection and HIV related indicators for the country as a whole and for urban and rural areas separately. In addition, the sample was designed to provide estimates for each of the two entities: the Federation of Bosnia and Herzegovina (FBiH) and the Republika Srpska (RS) for key indicators (owing to the constraints in the survey budget, the Brcko District is represented in the same way as other municipalities in BiH). Each entity is subdivided into municipalities. In addition municipalities in Federation of BiH are grouped into 10 cantons. Each municipality is divided into settlements, settlements into statistical circles and each circle into enumeration areas. In total BiH includes 154 municipalities, 12 thousands circles and 18 thousands enumeration areas. The sample frame for this survey was based on list of enumeration areas developed from the 1991 population census. In 2006 the update of 1500 enumeration areas was done and this master sample frame was used for sample selection.
The primary sampling unit (PSU), the cluster for the 2006 MICS, is defined on the basis of the enumeration areas from the master sample frame. A total of 455 census enumeration areas were systematically selected from the Master Sample with equal probability. All households from 455 census enumeration areas were allocated to two household lists. The first list (type 1) consisted of all households with children under five, and the second list consisted of all other households. 3,000 households having equal selection probability were selected from each list. This meant that each household from the list had the same selection probability. As the lists were different, the households with different sizes from different lists had different selection probability. Thus, a sample was obtained, which was self-weighted at the level of each list but is not self-weighted at the national level.
The number of households within each cluster is unequal and proportional to the cluster size.
The households in each list were implicitly stratified, i.e. sorted by entity/district, by urban/rural classification, by order of census enumeration area within the municipality, and by ordinal number within the cluster.
No replacement of households was permitted in case of non-response or non-contactable households. Adjustments were made to the sampling weights to correct for non-response, according to MICS standard procedures.
The sampling procedures are more fully described in the sampling design document and the sampling appendix of the final report.
The 2006 MICS collected data from a nationally representative sample of households, women and children. The primary focus of the 2006 MICS was to provide estimates of key population and health, education, child protection and HIV related indicators for the country as a whole and for urban and rural areas separately. In addition, the sample was designed to provide estimates for each of the two entities: the Federation of Bosnia and Herzegovina (FBiH) and the Republika Srpska (RS) for key indicators (owing to the constraints in the survey budget, the Brcko District is represented in the same way as other municipalities in BiH). Each entity is subdivided into municipalities. In addition municipalities in Federation of BiH are grouped into 10 cantons. Each municipality is divided into settlements, settlements into statistical circles and each circle into enumeration areas. In total BiH includes 154 municipalities, 12 thousands circles and 18 thousands enumeration areas. The sample frame for this survey was based on list of enumeration areas developed from the 1991 population census. In 2006 the update of 1500 enumeration areas was done and this master sample frame was used for sample selection.
The primary sampling unit (PSU), the cluster for the 2006 MICS, is defined on the basis of the enumeration areas from the master sample frame. A total of 455 census enumeration areas were systematically selected from the Master Sample with equal probability. All households from 455 census enumeration areas were allocated to two household lists. The first list (type 1) consisted of all households with children under five, and the second list consisted of all other households. 3,000 households having equal selection probability were selected from each list. This meant that each household from the list had the same selection probability. As the lists were different, the households with different sizes from different lists had different selection probability. Thus, a sample was obtained, which was self-weighted at the level of each list but is not self-weighted at the national level.
The number of households within each cluster is unequal and proportional to the cluster size.
The households in each list were implicitly stratified, i.e. sorted by entity/district, by urban/rural classification, by order of census enumeration area within the municipality, and by ordinal number within the cluster.
No replacement of households was permitted in case of non-response or non-contactable households. Adjustments were made to the sampling weights to correct for non-response, according to MICS standard procedures.
The sampling procedures are more fully described in the sampling design document and the sampling appendix of the final report.
Deviations from the Sample Design
No major deviations from the original sample design were made. All sample enumeration areas were accessed and successfully interviewed with good response rates.
Response Rate
At the BiH level (Table HH.1), 5,549 households were successfully interviewed and the response rate reached 93.4 percent. In the interviewed households, 4,977 women were identified within the sample range, out of which 4,890 were interviewed. A total of 3,209 children under five years-of-age were listed in the household questionnaire, and the questionnaire was completed for 3,188 children. The ratio of responses for children under five differed significantly between rural areas (89.0 percent) and other areas (95.2 percent).
In the Republika Srpska, 2,019, out of the 2,129 households selected for the sample, were successfully interviewed, yielding a household response rate of 96.0 percent. In the interviewed households, 1,658 women aged 15-49 were identified and 1,620 successfully interviewed (97.7 percent response rate). In addition, out of the 1,086 children under the age of five listed in the household questionnaire, 1,071 had their questionnaires completed, which corresponds to a response rate of 98.6 percent. Overall response rates of 93.8 and 94.7 percent are calculated for the 15-49 women's and under-fives' interviews respectively.
In the Federation of BiH, of the 3,744 households selected for the sample, 3,710 were available for interview, and 3,413 were successfully interviewed (92 percent response rate). In the interviewed households, 3,221 women (aged 15-49) were identified and 3,175 successfully interviewed, yielding a response rate of 98.6 percent. In addition, 2,065 children under the age of five were listed in the household questionnaire and questionnaires were completed for 2,060 of these children (99.8 percent response rate). Overall response rates of 90.7 and 91.8 percent are calculated for the 15-49 women's and under-fives' interviews respectively.
In the Republika Srpska, 2,019, out of the 2,129 households selected for the sample, were successfully interviewed, yielding a household response rate of 96.0 percent. In the interviewed households, 1,658 women aged 15-49 were identified and 1,620 successfully interviewed (97.7 percent response rate). In addition, out of the 1,086 children under the age of five listed in the household questionnaire, 1,071 had their questionnaires completed, which corresponds to a response rate of 98.6 percent. Overall response rates of 93.8 and 94.7 percent are calculated for the 15-49 women's and under-fives' interviews respectively.
In the Federation of BiH, of the 3,744 households selected for the sample, 3,710 were available for interview, and 3,413 were successfully interviewed (92 percent response rate). In the interviewed households, 3,221 women (aged 15-49) were identified and 3,175 successfully interviewed, yielding a response rate of 98.6 percent. In addition, 2,065 children under the age of five were listed in the household questionnaire and questionnaires were completed for 2,060 of these children (99.8 percent response rate). Overall response rates of 90.7 and 91.8 percent are calculated for the 15-49 women's and under-fives' interviews respectively.
Weighting
Sample weights were calculated for each of the datafiles.
Sample weights for the household data were computed as the inverse of the probability of selection of the household, computed at the sampling domain level (household with children under 5 and all other households). The household weights were adjusted for non-response at the domain level, and were then normalized by a constant factor so that the total weighted number of households equals the total unweighted number of households. The household weight variable is called HHWEIGHT and is used with the HH data and the HL data.
Sample weights for the women's data used the un-normalized household weights, adjusted for non-response for the women's questionnaire, and were then normalized by a constant factor so that the total weighted number of women's cases equals the total unweighted number of women's cases.
Sample weights for the children's data followed the same approach as the women's and used the un-normalized household weights, adjusted for non-response for the children's questionnaire, and were then normalized by a constant factor so that the total weighted number of children's cases equals the total unweighted number of children's cases.
Sample weights for the household data were computed as the inverse of the probability of selection of the household, computed at the sampling domain level (household with children under 5 and all other households). The household weights were adjusted for non-response at the domain level, and were then normalized by a constant factor so that the total weighted number of households equals the total unweighted number of households. The household weight variable is called HHWEIGHT and is used with the HH data and the HL data.
Sample weights for the women's data used the un-normalized household weights, adjusted for non-response for the women's questionnaire, and were then normalized by a constant factor so that the total weighted number of women's cases equals the total unweighted number of women's cases.
Sample weights for the children's data followed the same approach as the women's and used the un-normalized household weights, adjusted for non-response for the children's questionnaire, and were then normalized by a constant factor so that the total weighted number of children's cases equals the total unweighted number of children's cases.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2006-05-15 | 2006-07-30 |
Data Collection Mode
Face-to-face [f2f]
Supervision
Interviewing was conducted by teams of interviewers. Each interviewing team comprised of 3-4 interviewers.
The role of the supervisor was to coordinate field data collection activities, including management of the field teams, supplies and equipment, finances, maps and listings, coordinate with local authorities concerning the survey plan and make arrangements for accommodation and travel. Additionally, the field supervisor assigned the work to the interviewers, spot checked work, maintained field control documents, and sent completed questionnaires and progress reports to the central office. They were also responsible for reviewing each questionnaire at the end of the day, checking for missed questions, skip errors, fields incorrectly completed, and checking for inconsistencies in the data. The field editor also observed interviews and conducted review sessions with interviewers.
Responsibilities of the supervisors described in the Instructions for Supervisors, together with the different field controls that were in place to control the quality of the fieldwork.
Field visits were also made by a team of central staff on a periodic basis during fieldwork. The senior staff of Ministry of Health and Social Welfare Republika Srpska, FBiH Public Health Institutealso and UNICEF Bosnia and Herzegovina were responsible for quality control on 10% of sampled household.
Also one visit from supervisor from Strategic Information Section, Division of Policy and Planning, UNICEF NYHQ was made.
The role of the supervisor was to coordinate field data collection activities, including management of the field teams, supplies and equipment, finances, maps and listings, coordinate with local authorities concerning the survey plan and make arrangements for accommodation and travel. Additionally, the field supervisor assigned the work to the interviewers, spot checked work, maintained field control documents, and sent completed questionnaires and progress reports to the central office. They were also responsible for reviewing each questionnaire at the end of the day, checking for missed questions, skip errors, fields incorrectly completed, and checking for inconsistencies in the data. The field editor also observed interviews and conducted review sessions with interviewers.
Responsibilities of the supervisors described in the Instructions for Supervisors, together with the different field controls that were in place to control the quality of the fieldwork.
Field visits were also made by a team of central staff on a periodic basis during fieldwork. The senior staff of Ministry of Health and Social Welfare Republika Srpska, FBiH Public Health Institutealso and UNICEF Bosnia and Herzegovina were responsible for quality control on 10% of sampled household.
Also one visit from supervisor from Strategic Information Section, Division of Policy and Planning, UNICEF NYHQ was made.
Data Collection Notes
During April 2006, the pre-test for the Republika Srpska in the Banja Luka region, whereas the pre-test in FBiH was conducted in April 2006 in households in the Sarajevo Canton. The plan envisaged the conduct of interviews in 111 households obtained by random choice from the Main Sampling Frame. The pre-test was succesfully conducted in 84 households. Pre-test included 10 interviewers who would later become supervisors for the main survey.
Fieldwork was implemented by two entity teams. In the RS, the data was collected by four teams. Each team was comprised of three to four interviewers and one supervisor. The fieldwork began on 15 May 2006 and concluded on 10 July 2006. In FBiH the data was collected by eight teams (23 interviewers) who were organised at the cantonal level. The teams were comprised of supervisors and interviewers, whose number depended on the number of households to be interviewed in the field. In FBiH, fieldwork began on 20 May 2006 and concluded on 30 July 2006.
Interviews averaged 35 minutes for the household questionnaire, 23 minutes for the women's questionnaire, and 27 for the under five children's questionnaire (excluding the anthropometry). Interviews were conducted primarily in Bosnian, Serbian and Croatian.
Four staff members of Ministry of Health and Social Welfare Republika Srpska and FBiH Public Health Institute provided overall fieldwork coordination and supervision. The overall field supervisors were Irena Jokic, Amela Lolic, Aida Pilav and Miroslav Stijak.
Fieldwork was implemented by two entity teams. In the RS, the data was collected by four teams. Each team was comprised of three to four interviewers and one supervisor. The fieldwork began on 15 May 2006 and concluded on 10 July 2006. In FBiH the data was collected by eight teams (23 interviewers) who were organised at the cantonal level. The teams were comprised of supervisors and interviewers, whose number depended on the number of households to be interviewed in the field. In FBiH, fieldwork began on 20 May 2006 and concluded on 30 July 2006.
Interviews averaged 35 minutes for the household questionnaire, 23 minutes for the women's questionnaire, and 27 for the under five children's questionnaire (excluding the anthropometry). Interviews were conducted primarily in Bosnian, Serbian and Croatian.
Four staff members of Ministry of Health and Social Welfare Republika Srpska and FBiH Public Health Institute provided overall fieldwork coordination and supervision. The overall field supervisors were Irena Jokic, Amela Lolic, Aida Pilav and Miroslav Stijak.
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Ministry of Health and Social Welfare Republika Srpska | MoHSWRS | |
| FBiH Public Health Institute | FBiHPHI | Ministry of Health FBiH |
Questionnaires
Questionnaires
The questionnaires for the BiH MICS were structured questionnaires based on the MICS3 Model Questionnaire with some modifications and additions. A household questionnaire was administered in each household, which collected various information on household members including sex, age, relationship, and orphanhood status. The household questionnaire includes household listing, education, water and sanitation, household characteristics,child labour, child discipline, child disability, household expenditure, and household incomes.
In addition to a household questionnaire, questionnaires were administered in each household for women age 15-49 and children under age five. For children, the questionnaire was administered to the mother or caretaker of the child.
The women's questionnaire includes women's characteristics, marriage-union, contraception and unmet need, attitude toward domestic violence, sexual behavior, and HIV/AIDS knowledge.
The children's questionnaire includes children's characteristics, birth registration and early learning, child development, breastfeeding, care of illness, immunization, and anthropometry.
The questionnaires were developed in Bosnian, Serbian and Croatian from the MICS3 Model Questionnaires. After an initial review the questionnaires were translated back into English by an independent translator with no prior knowledge of the survey. The back translation from theBosnian, Serbian and Croatian versions was independently reviewed and compared to the English original. Differences in translation were reviewed and resolved in collaboration with the original translators.
The Bosnian, Serbian and Croatian questionnaires were both piloted as part of the survey pretest.
In addition to a household questionnaire, questionnaires were administered in each household for women age 15-49 and children under age five. For children, the questionnaire was administered to the mother or caretaker of the child.
The women's questionnaire includes women's characteristics, marriage-union, contraception and unmet need, attitude toward domestic violence, sexual behavior, and HIV/AIDS knowledge.
The children's questionnaire includes children's characteristics, birth registration and early learning, child development, breastfeeding, care of illness, immunization, and anthropometry.
The questionnaires were developed in Bosnian, Serbian and Croatian from the MICS3 Model Questionnaires. After an initial review the questionnaires were translated back into English by an independent translator with no prior knowledge of the survey. The back translation from theBosnian, Serbian and Croatian versions was independently reviewed and compared to the English original. Differences in translation were reviewed and resolved in collaboration with the original translators.
The Bosnian, Serbian and Croatian questionnaires were both piloted as part of the survey pretest.
Data Processing
Data Editing
Data editing took place at a number of stages throughout the processing (see Other processing), including:
a) Office editing and coding
b) During data entry
c) Structure checking and completeness
d) Secondary editing
e) Structural checking of SPSS data files
Detailed documentation of the editing of data can be found in the data processing guidelines
a) Office editing and coding
b) During data entry
c) Structure checking and completeness
d) Secondary editing
e) Structural checking of SPSS data files
Detailed documentation of the editing of data can be found in the data processing guidelines
Other Processing
Data were processed in clusters, with each cluster being processed as a complete unit through each stage of data processing. Each cluster goes through the following steps:
1) Questionnaire reception
2) Office editing and coding
3) Data entry
4) Structure and completeness checking
5) Verification entry
6) Comparison of verification data
7) Back up of raw data
8) Secondary editing
9) Edited data back up After all clusters are processed, all data is concatenated together and then the following steps are completed for all data files:
10) Export to SPSS in 4 files (hh - household, hl - household members, wm - women, ch - children under 5)
11) Recoding of variables needed for analysis
12) Adding of sample weights
13) Calculation of wealth quintiles and merging into data
14) Structural checking of SPSS files
15) Data quality tabulations
16) Production of analysis tabulations
Details of each of these steps can be found in the data processing documentation, data editing guidelines, data processing programs in CSPro and SPSS, and tabulation guidelines.
Data was entered and processed separately for FBiH and the RS. Data was entered into two microcomputers by two data entry operators, and the process was supervised by one supervisor. In FBiH, data was entered into three microcomputers by three data entry operators, and the process was supervised by one data entry supervisor. Data was analysed using the Statistical Package for Social Sciences (SPSS) software programme, Version 14, and the model syntax and tabulation plans developed by UNICEF for this survey. In order to ensure quality control, all questionnaires were entered twice and internal consistency checks were performed. Procedures and standard programmes developed under the global MICS3 project and adapted to the BiH questionnaire were used throughout. STATA 7.0 software was used to estimate standard errors.
Data processing began simultaneously with data collection and was concluded in December 2006 for BiH, in September 2006 for the RS and in November 2006 for FBiH.
For data entry, CSPro version 2.6.007 was used with a highly structured data entry program, using system controlled approach, that controlled entry of each variable. All range checks and skips were controlled by the program and operators could not override these. A limited set of consistency checks were also included inthe data entry program. In addition, the calculation of anthropometric Z-scores was also included in the data entry programs for use during analysis. Open-ended responses ("Other" answers) were not entered or coded, except in rare circumstances where the response matched an existing code in the questionnaire.
Structure and completeness checking ensured that all questionnaires for the cluster had been entered, were structurally sound, and that women's and children's questionnaires existed for each eligible woman and child.
100% verification of all variables was performed using independent verification, i.e. double entry of data, with separate comparison of data followed by modification of one or both datasets to correct keying errors by original operators who first keyed the files.
After completion of all processing in CSPro, all individual cluster files were backed up before concatenating data together using the CSPro file concatenate utility.
For tabulation and analysis SPSS versions 10.0 and 14.0 were used. Version 10.0 was originally used for all tabulation programs, except for child mortality. Later version 14.0 was used for child mortality, data quality tabulations and other analysis activities.
After transferring all files to SPSS, certain variables were recoded for use as background characteristics in the tabulation of the data, including grouping age, education, geographic areas as needed for analysis. In the process of recoding ages and dates some random imputation of dates (within calculated constraints) was performed to handle missing or "don't know" ages or dates. Additionally, a wealth (asset) index of household members was calculated using principal components analysis, based on household assets, and both the score and quintiles were included in the datasets for use in tabulations.
1) Questionnaire reception
2) Office editing and coding
3) Data entry
4) Structure and completeness checking
5) Verification entry
6) Comparison of verification data
7) Back up of raw data
8) Secondary editing
9) Edited data back up After all clusters are processed, all data is concatenated together and then the following steps are completed for all data files:
10) Export to SPSS in 4 files (hh - household, hl - household members, wm - women, ch - children under 5)
11) Recoding of variables needed for analysis
12) Adding of sample weights
13) Calculation of wealth quintiles and merging into data
14) Structural checking of SPSS files
15) Data quality tabulations
16) Production of analysis tabulations
Details of each of these steps can be found in the data processing documentation, data editing guidelines, data processing programs in CSPro and SPSS, and tabulation guidelines.
Data was entered and processed separately for FBiH and the RS. Data was entered into two microcomputers by two data entry operators, and the process was supervised by one supervisor. In FBiH, data was entered into three microcomputers by three data entry operators, and the process was supervised by one data entry supervisor. Data was analysed using the Statistical Package for Social Sciences (SPSS) software programme, Version 14, and the model syntax and tabulation plans developed by UNICEF for this survey. In order to ensure quality control, all questionnaires were entered twice and internal consistency checks were performed. Procedures and standard programmes developed under the global MICS3 project and adapted to the BiH questionnaire were used throughout. STATA 7.0 software was used to estimate standard errors.
Data processing began simultaneously with data collection and was concluded in December 2006 for BiH, in September 2006 for the RS and in November 2006 for FBiH.
For data entry, CSPro version 2.6.007 was used with a highly structured data entry program, using system controlled approach, that controlled entry of each variable. All range checks and skips were controlled by the program and operators could not override these. A limited set of consistency checks were also included inthe data entry program. In addition, the calculation of anthropometric Z-scores was also included in the data entry programs for use during analysis. Open-ended responses ("Other" answers) were not entered or coded, except in rare circumstances where the response matched an existing code in the questionnaire.
Structure and completeness checking ensured that all questionnaires for the cluster had been entered, were structurally sound, and that women's and children's questionnaires existed for each eligible woman and child.
100% verification of all variables was performed using independent verification, i.e. double entry of data, with separate comparison of data followed by modification of one or both datasets to correct keying errors by original operators who first keyed the files.
After completion of all processing in CSPro, all individual cluster files were backed up before concatenating data together using the CSPro file concatenate utility.
For tabulation and analysis SPSS versions 10.0 and 14.0 were used. Version 10.0 was originally used for all tabulation programs, except for child mortality. Later version 14.0 was used for child mortality, data quality tabulations and other analysis activities.
After transferring all files to SPSS, certain variables were recoded for use as background characteristics in the tabulation of the data, including grouping age, education, geographic areas as needed for analysis. In the process of recoding ages and dates some random imputation of dates (within calculated constraints) was performed to handle missing or "don't know" ages or dates. Additionally, a wealth (asset) index of household members was calculated using principal components analysis, based on household assets, and both the score and quintiles were included in the datasets for use in tabulations.
Data Appraisal
Estimates of Sampling Error
Estimates from a sample survey are affected by two types of errors: 1) non-sampling errors and 2) sampling errors. Non-sampling errors are the results of mistakes made in the implementation of data collection and data processing. Numerous efforts were made during implementation of the 2006 MICS to minimize this type of error, however, non-sampling errors are impossible to avoid and difficult to evaluate statistically.
Sampling errors can be evaluated statistically. The sample of respondents to the 2006 MICS is only one of many possible samples that could have been selected from the same population, using the same design and expected size. Each of these samples would yield results that differe somewhat from the results of the actual sample selected. Sampling errors are a measure of the variability in the results of the survey between all possible samples, and, although, the degree of variability is not known exactly, it can be estimated from the survey results. The sampling erros are measured in terms of the standard error for a particular statistic (mean or percentage), which is the square root of the variance. Confidence intervals are calculated for each statistic within which the true value for the population can be assumed to fall. Plus or minus two standard errors of the statistic is used for key statistics presented in MICS, equivalent to a 95 percent confidence interval.
If the sample of respondents had been a simple random sample, it would have been possible to use straightforward formulae for calculating sampling errors. However, the 2006 MICS sample is the result of a multi-stage stratified design, and consequently needs to use more complex formulae. For the calculation of sampling errors from MICS data, STATA 7.0 has been used.
Sampling errors have been calculated for a select set of statistics (all of which are proportions due to the limitations of the Taylor linearization method) for the national sample, urban and rural areas, and for each of the five regions. For each statistic, the estimate, its standard error, the coefficient of variation (or relative error -- the ratio between the standard error and the estimate), the design effect, and the square root design effect (DEFT -- the ratio between the standard error using the given sample design and the standard error that would result if a simple random sample had been used), as well as the 95 percent confidence intervals (+/-2 standard errors).
Details of the sampling errors are presented in the sampling errors appendix to the report and in the sampling errors table presented in te external resources.
Sampling errors can be evaluated statistically. The sample of respondents to the 2006 MICS is only one of many possible samples that could have been selected from the same population, using the same design and expected size. Each of these samples would yield results that differe somewhat from the results of the actual sample selected. Sampling errors are a measure of the variability in the results of the survey between all possible samples, and, although, the degree of variability is not known exactly, it can be estimated from the survey results. The sampling erros are measured in terms of the standard error for a particular statistic (mean or percentage), which is the square root of the variance. Confidence intervals are calculated for each statistic within which the true value for the population can be assumed to fall. Plus or minus two standard errors of the statistic is used for key statistics presented in MICS, equivalent to a 95 percent confidence interval.
If the sample of respondents had been a simple random sample, it would have been possible to use straightforward formulae for calculating sampling errors. However, the 2006 MICS sample is the result of a multi-stage stratified design, and consequently needs to use more complex formulae. For the calculation of sampling errors from MICS data, STATA 7.0 has been used.
Sampling errors have been calculated for a select set of statistics (all of which are proportions due to the limitations of the Taylor linearization method) for the national sample, urban and rural areas, and for each of the five regions. For each statistic, the estimate, its standard error, the coefficient of variation (or relative error -- the ratio between the standard error and the estimate), the design effect, and the square root design effect (DEFT -- the ratio between the standard error using the given sample design and the standard error that would result if a simple random sample had been used), as well as the 95 percent confidence intervals (+/-2 standard errors).
Details of the sampling errors are presented in the sampling errors appendix to the report and in the sampling errors table presented in te external resources.
Data Appraisal
A series of data quality tables and graphs are available to review the quality of the data and include the following:
Age distribution of the household population
Age distribution of eligible women and interviewed women
Age distribution of eligible children and children for whom the mother or caretaker was interviewed
Age distribution of children under age 5 by 3 month groups
Age and period ratios at boundaries of eligibility
Percent of observations with missing information on selected variables
Presence of mother in the household and person interviewed for the under 5 questionnaire
School attendance by single year age
Distribution of women by time since last birth
Scatterplot of weight by height, weight by age and height by age
Graph of male and female population by single years of age
Population pyramid
The results of each of these data quality tables is shown in the appendix of the final report and is also given in the external resources section.
The general rule for presentation of missing data in the final report tabulations is that a column is presented for missing data if the percentage of cases with missing data is 1% or more. Cases with missing data on the background characteristics (e.g. education) are included in the tables, but the missing data rows are suppressed and noted at the bottom of the tables in the report (not in the SPSS output, however).
Age distribution of the household population
Age distribution of eligible women and interviewed women
Age distribution of eligible children and children for whom the mother or caretaker was interviewed
Age distribution of children under age 5 by 3 month groups
Age and period ratios at boundaries of eligibility
Percent of observations with missing information on selected variables
Presence of mother in the household and person interviewed for the under 5 questionnaire
School attendance by single year age
Distribution of women by time since last birth
Scatterplot of weight by height, weight by age and height by age
Graph of male and female population by single years of age
Population pyramid
The results of each of these data quality tables is shown in the appendix of the final report and is also given in the external resources section.
The general rule for presentation of missing data in the final report tabulations is that a column is presented for missing data if the percentage of cases with missing data is 1% or more. Cases with missing data on the background characteristics (e.g. education) are included in the tables, but the missing data rows are suppressed and noted at the bottom of the tables in the report (not in the SPSS output, however).
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| UNICEF Bosnia and Herzegovina | UNICEF | sarajevo@unicef.org | www.unicef.ba |
| Memic, Fahrudin | FSO of FBiH | fahrudinm@fzs.ba | www.fzs.ba |
| Stijak, Miroslav | MoHSWRS | stijak@inecco.net | |
| Hancioglu, Attila | UNICEF | ahancioglu@unicef.org | www.childinfo.org |
Confidentiality
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.
Access conditions
Survey datasets are distributed at no cost for legitimate research, with the condition that we receive a detailed description of the objectives of any research project that will be using the data prior to authorizing their distribution. Copies of all reports and publications based on the requested data must be sent to Ministry of Health and Social Welfare Republika Srpska and Ministry of Health FBiH and UNICEF Bosnia and Herzegovina.
1. The Public Health Institute of BiH Federation (dir@bih.net.ba)
2. Directorate for Economic Planning, Bosnia and Herzegovina (dep@dep.gov.ba/sstanic@dep.gov.ba)
Requests for access to the datasets may be made through the website www.childinfo.org.
1. The Public Health Institute of BiH Federation (dir@bih.net.ba)
2. Directorate for Economic Planning, Bosnia and Herzegovina (dep@dep.gov.ba/sstanic@dep.gov.ba)
Requests for access to the datasets may be made through the website www.childinfo.org.
Citation requirements
Directorate for Economic Planning Bosnia and Herzegovina, Ministry of Health and Social Welfare Republika Srpska, FBiH Public Health Institute, BiH. Multiple Indicator Cluster Survey: Household , household listing, women and children's files, 2006 [Computer file]. Banja Luka, Sarajevo, BiH: Ministry of Health and Social Welfare Republika Srpska, FBiH Public Health Institute [producer], 2006. Banja Luka, Sarajevo, BiH: Ministry of Health and Social Welfare Republika Srpska, FBiH Public Health Institute, UNICEF Bosnia and Herzegovina and New York: Strategic Information Section, Division of Policy and Planning, UNICEF [distributors], 2006.
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| UNICEF Bosnia and Herzegovina | UNICEF | sarajevo@unicef.org | www.unicef.ba |
| Ministry of Health and Social Welfare Republika Srpska | www.vladars.net/en/min | ||
| Ministry of Health FBiH | www.fmoh.gov.ba |
Disclaimer and copyrights
Disclaimer
UNICEF Bosnia and Herzegovina, Ministry of Health and Social Welfare Republika Srpska and FBiH Public Health Institute provides these data to external users without any warranty or responsibility implied. UNICEF Bosnia and Herzegovina, Ministry of Health and Social Welfare Republika Srpska and FBiH Public Health Institute accept no responsibility for the results and/or implications of any actions resulting from the use of these data.
Copyright
2007, UNICEF Bosnia and Herzegovina
Metadata production
DDI Document ID
DDI_BIH_2006_MICS_v01_M
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Adilovic, Edina | BHAS | Agency for Statistics, BiH | Customization of generic template |
| Bjelic, Ivana | SMMRI | Strategic Marketing Research | Data producer and customization of generic template |
| Croft, Trevor | TNC | Blancroft Research International | Producer of generic example |
| Halilovic, Amra | BHAS | Agency for Statistics, BiH | Customization of generic template |
| Kratina, Mirha | UNICEF | UNICEF Bosnia and Herzegovina | Technical support in data archiving |
| Krupic, Muris | FBiHPHI | Public Health Institute FBiH | Customization of generic template |
| Memic, Fahrudin | FBiHFOS | Federal Office of Statistics, FBiH | Data producer and customization of generic template |
| Stijak, Miroslav | MoHSWRS | Ministry of Health and Social Welfare, RS | Data producer and customization of generic template |
| Topcic Elmedin | DEP | Directorate for Economic Planning, BiH | Customization of generic template |
| Tukvlija, Sanela | FBiHPHI | Public Health Institute FBiH | Customization of generic template |
| James, Rhiannon | UNICEF | Customization of BiH MICS Archive for childinfo.org |
Date of Metadata Production
2008-03
DDI Document version
BiH MICS 2006 UNICEF v0.1
Slightly edited version of UNICEF's DDI ref. DDI-BIH-DEP-MoHFBiH-MoHSWRS-MICS2006/1.0-v0.1
Slightly edited version of UNICEF's DDI ref. DDI-BIH-DEP-MoHFBiH-MoHSWRS-MICS2006/1.0-v0.1