SRB_2014_MICS-RS_v01_M
Multiple Indicator Cluster Survey 2014 - Roma Settlements
Istraživanje višestrukih pokazatelja 2014
Name | Country code |
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Serbia | SER |
Multiple Indicator Cluster Survey - Round 4 [hh/mics-4]
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.
Sample survey data [ssd]
The scope of the Multiple Indicator Cluster Survey includes:
Roma settlements
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.
Name |
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United Nations Children’s Fund |
Statistical Office of the Republic of Serbia |
Name | Role |
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United Nations Children’s Fund | Financial and technical support |
The primary objective of the sample design for the 2014 Serbia Roma Settlements MICS was to produce statistically reliable estimates of most indicators, at the national level and for urban and other areas.
Stratification for the 2014 Serbia Roma Settlements MICS was done according to the type of settlement (urban and other), and to the four regions: Belgrade, Vojvodina, Sumadija and Western Serbia and Southern and Eastern Serbia.
A two-stage, stratified cluster sampling approach was used for the selection of the survey sample. A random sample of enumeration areas (cluster of households) was selected with probabilities proportional to size within each stratum at the first stage. A sample of households was selected in each enumeration area at the second stage.
The number of households selected per cluster for the 2014 Serbia Roma Settlements MICS was determined as 19 households. This decision was 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. In the selected clusters a further stratification (2nd stage stratification) was done into two strata: households with children under five years of age and households without children under five.
The target sample size for the 2014 Serbia Roma Settlements MICS was set to 1900 households and 100 enumeration areas. The sample size was determined based on a review of the 2010 Serbia Roma Settlements MICS results along with a discussion on budget constraints. The tentatively planned sample size was further assessed by supplementary calculations using the MICS Sample Size Calculation Template.
The frame for the 2014 Serbia Roma Settlements MICS was based on information from the 2011 Serbian Population Census. It was formed by excluding all enumeration areas with 17 or less Roma households. In this way 45 percent of the Roma households were included. The resulting frame with the number of Roma households from the 2011 Census data for each enumeration area was used for the selection of primary sampling units (PSUs). The PSUs were selected from each of the sampling strata by using a systematic pps (probability proportional to size) sampling procedure, based on the estimated number of Roma households. The first stage of sampling was thus completed by selecting the required number of enumeration areas from each of the four strata (Regions), by urban and other domains separately.
Since the sampling frame (the 2011 Population 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 the occupied households.
Updated lists of households were prepared by the listing teams in the field for each sample enumeration area and sent to the Statistical Office of the Republic of Serbia. Afterwards, the updated lists of the households in the enumeration areas were classified into two 2nd stage strata (categories): households with children under 5 and households without children. A separate sample of households was selected from each stratum, using a higher sampling rate for households with children under 5. This sampling strategy increased the number of children under 5 in the sample in order to increase the precision of the indicators based on under-5 children.
The sampling procedures are more fully described in "Multiple Indicator Cluster Survey 2014 - Final Report" pp.266-270.
Of the 1,976 households selected for the sample, 1803 were found to be occupied. Of these, 1,743 were successfully interviewed for a household response rate of 97 percent.
In the interviewed households, 2,162 women (age 15-49 years) were identified. Of these, 2,081 were successfully interviewed, yielding a response rate of 96 percent within interviewed households.
There were 1,556 children under age five listed in the household questionnaire. Questionnaires were completed for 1,515 of these children, which corresponds to a response rate of 97 percent within interviewed households.
Overall response rates of 93 and 94 are calculated for individual interviews of women and under-5’s, respectively.
Sample weights were calculated for each of the data files.
The major component of the weight is the reciprocal value of the sampling fraction employed in selecting the number of sample households in a particular sampling stratum, from certain Primary Sampling Unit (PSU) within certain category. The sampling fraction is the product of the probabilities of selection at every stage in each sampling stratum.
A second component in the calculation of sample weights takes into account the level of non-response for the household and individual interviews. The adjustment for household non-response is equal to the inverse value of: RRhc = Number of interviewed households in stratum hc /Number of sample occupied households in stratum hc
The non-response adjustment factors for women’s and under 5’s questionnaires are applied to the adjusted household weights. The 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 household weights and individual weights were calculated by multiplying the above factors for each cluster and second stage stratum (with/without children under 5). These weights were then normalized, one purpose of which is to make the weighted sum of the interviewed sample units equal the total sample size at the national level. Normalization is performed by dividing the aforementioned design weights by the average design weight at the national level. The average design weight is calculated as the sum of the design weights divided by the unweighted total. A similar procedure was followed in obtaining normalized weights for the women’s and under-5’s questionnaires. Normalized weights varied between 0.19 and 9.69 in the 100 sample enumeration areas (clusters).
Sample weights were appended to all data sets and analyses were performed by weighting the data for each sample household, woman and under-5 with these sample weights.
The questionnaires for the Generic MICS were structured questionnaires based on the MICS5 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 List of Household Members, Education, Child Labour, Child Discipline, Attitudes Toward Children with Disabilities, Household Characteristics, Cash Benefit and Water and Sanitation.
In addition to a household questionnaire, questionnaires were administered in each household for women age 15-49 and children under age five. The questionnaire was administered to the mother or primary caretaker of the child.
The women's questionnaire includes Woman's Background, Fertility, Desire for Last Birth, Maternal and Newborn Health, Illness Symptoms, Contraception, Unmet Need, Attitudes Toward Domestic Violence, Marriage/Union and Life Satisfaction.
The children's questionnaire includes Child's Age, Birth Registration, Birth Grant, Early Childhood Development, Breastfeeding and Dietary Intake, Immunization, Anthropometry.
The questionnaires were developed in English from the MICS5 Model Questionnaires, and were customised and translated into Serbian and were pre-tested in Zrenjanin during November 2013. Based on the results of the pre-test, modifications were made to the wording and translation of the questionnaires.
Start | End |
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2014-02-01 | 2014-04-15 |
Name |
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Statistical Office of the Republic of Serbia |
There is one supervisor for each of the 3 data collection teams in the field.
Training for the fieldwork was conducted for 14 days in January 2014 for both surveys. Training included lectures on interviewing techniques and the contents of the questionnaires, and mock interviews between trainees to gain practice in asking questions. Towards the end of the training period, trainees spent 2 days in practice interviewing in Zrenjanin in both urban and other areas. Trainees also practiced measuring the weights and heights of children in 5 kindergartens in Zrenjanin.
The data were collected by 3 teams for Roma settlements; each team was comprised of 4 interviewers, one editor, one measurer and a supervisor (the editor or supervisor was also the driver). Fieldwork began on 1 February 2014 and concluded on 15 April 2014 for the 2014 Serbia Roma Settlements MICS.
Data were entered using CSPro software, Version 5.0. The data entry was carried out by 8 data entry operators using 8 microcomputers, with support of 1 data entry supervisor. For quality assurance purposes, all questionnaires were doubleentered and internal consistency checks were performed. Procedures and standard programmes developed under the global MICS programme and adapted to the 2014 Serbia MICS and 2014 Serbia Roma Settlements MICS questionnaires were used throughout. Data processing began simultaneously with data collection in February 2014 and was completed in May 2014 for both surveys. Data were analysed using the Statistical Package for Social Sciences (SPSS) software, Version 21. Model syntax and tabulation plans developed by UNICEF were customized and used for the standard MICS modules while new syntaxes and tabulation plans were developed for non-standard MICS modules and questions.
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:
For the calculation of sampling errors from MICS data, programmes developed in CSPro Version 5.0 and SPSS Version 21 Complex Samples module have been used.
A series of data quality tables are available to review the quality of the data and include the following:
The results of each of these data quality tables are shown in appendix D in document "Multiple Indicator Cluster Survey 2014 - Final Report" pp.298-307.
UNICEF
UNICEF
http://mics.unicef.org/surveys
Cost: None
Name |
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United Nations Children's Fund |
Name | Affiliation | URL | |
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Childinfo | UNICEF | http://www.childinfo.org/mics4_surveys.html | mics@unicef.org |
Is signing of a confidentiality declaration required? | Confidentiality declaration text |
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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:
Example,
United Nations Children’s Fund, Statistical Office of the Republic of Serbia. Serbia Multiple Indicator Cluster Survey 2014 - Roma Settlements (MICS-RS) 2014, Ref. SRB_2014_MICS-RS_v01_M. Dataset downloaded from [url] on [date].
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.
Name | Affiliation | |
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Dragan Vukmirovic | Statistical Office of the Republic of Serbia | dvukmirovic@stat.gov.rs |
Michel Saint-Lot | UNICEF | msaintlot@unicef.org |
Statistical Office of the Republic of Serbia | stat@stat.gov.rs |
DDI_SRB_2014_MICS-RS_v01_M_WB
Name | Affiliation | Role |
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Development Data Group | The World Bank | Documentation of the DDI |
2015-09-02
Version 01 (September 2015)
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