IRQ_2011_MICS_v01_M
Multiple Indicator Cluster Survey 2011
Name | Country code |
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Iraq | IRQ |
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.
Sample survey data [ssd]
The scope of the Multiple Indicator Cluster Survey includes:
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.
Name |
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United Nations Children's Fund |
Central Statistics Organization |
Kurdistan Regional Statistics Office of Iraq |
Name |
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Ministry of Health |
Name | Role |
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United Nations Children's Fund | Financial and technical support |
Iraq Trust Fund | Financial and technical support |
Name | Affiliation |
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National Higher Supervisory Committee | |
World Health Organization | WHO |
The primary objective of the sample design for the Iraq Multiple Indicator Cluster Survey was to produce statistically estimates of most indicators with high precision at the national level, and with lower precision levels for smaller geographical units (governorates and districts). Urban and rural areas in each of the 118 Districts were defined as the sampling strata.
A multi-stage, stratified cluster sampling approach was used for the selection of the survey sample.
The target sample size for the Iraq MICS was calculated as 35,580 households. For the calculation of the sample size, the key indicator used was the full immunization coverage among children aged 0-4 years according to MICS3.
The resulting number of households from this exercise was 311 households, taken to be 310, which is the sample size needed in each District -thus yielding about 36,580 in total. The average number of households selected per cluster for the Iraq MICS was determined as 10 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 given the security conditions for the field teams. Dividing the total number of households by the number of sample households per cluster, it was calculated that 85 sample clusters would need to be selected in each region.
Equal allocation of the total sample size to the 118 districts was used. Therefore, 31 clusters were allocated to each district, with the final sample size calculated at 36,580 households (31 clusters118 regions10 sample households per cluster). In each region, the clusters (primary sampling units) were distributed to urban and rural domains, proportional to the size of urban and rural populations in that region.
The sampling procedures are more fully described in appendix A in document "Iraq Multiple Indicator Cluster Survey 2011 - Report" pp.1-4.
The original selected sample of 36,580 was increased up to 36,592 households because 12 housing units included 2 households each. Out of those, 35,828 were found to be occupied. Of these, 35,701 were successfully interviewed for a household response rate of 99.6%. In the interviewed households, 56,445 women (age 15-49 years) were identified. Of these, 55,194 were successfully interviewed, yielding a response rate of 97.8% within interviewed households. In addition, 36,599 children under age five were listed in the household questionnaire. Questionnaires were completed for 36,307 of these children, which corresponds to a response rate of 99.2% within interviewed households. Overall response rates of 97.4 and 98.9 are calculated for the women's and under-5's interviews respectively. Generally, response rates were high and similar within urban and rural areas and within the governorates.
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. The sampling fraction for the sample PSU in the stratum is the product of 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: RRh = Number of interviewed households in stratum h/ Number of occupied households listed in stratum h
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 women's and under-5's questionnaires are 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 above factors 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 the total sample size at the national level. Normalization is achieved by dividing the full sample weights (adjusted for nonresponse) by the average of these weights across all households at the national level. This is performed by multiplying the sample weights by a constant factor equal to the unweighted number of households at the national level divided by the weighted total number of households (using the full sample weights adjusted for nonresponse). A similar standardization procedure was followed in obtaining standardized weights for the women's and under-5's questionnaires. Adjusted (normalized) weights varied between 0.027 and 6.14 in the 3,658 sample enumeration areas (clusters).
Sample weights were appended to all data sets and analyses were performed by weighting each household, woman or under-5 with these sample weights.
The questionnaires for the Generic MICS were structured questionnaires based on the MICS4 model questionnaire with some modifications and additions. Household questionnaires were administered to a knowledgeable adult living in the household. The household questionnaire includes Household Listing Form, Education, Water and Sanitation, Household Characteristics, Child Labour, Child Discipline, Handwashing, Salt Iodization and Water Testing.
In addition to a household questionnaire, the Questionnaire for Individual Women was administered to all women aged 15-49 years living in the households. The women's questionnaire includes Women's Background, Marriage, Child Mortality (with Birth history), HIV/AIDS, Desire for Last Birth, Maternal and Newborn Health, Illness Symptoms, Contraception, Unmet Need, Female Genital Mutilation/Cutting, and Attitudes Towards Domestic Violence.
The Questionnaire for Children Under-Five was administered to mothers or caretakers of children under 5 years of age living in the households. The children's questionnaire includes Age, Birth Registration, Early Childhood Development, Breastfeeding, Care of Illness, Immunization, and Anthropometry.
Start | End |
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2011-02-13 | 2011-03-18 |
Name |
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Central Statistics Organization |
Kurdistan Regional Statistics Office of Iraq |
Twenty-two central supervisors were trained for 10 days in a training of trainers (TOT) workshop in Amman in June 2010 by experts from the UNICEF Middle East and North Africa Office in Amman. Implementation of the survey was postponed due to the preparation for the implementation of the Census, and the TOT was refreshed in January of 2011. The central supervisors trained field workers during the month of January and beginning of February 2011 in the Kurdistan region and during March 2011 in Centre/South Iraq. The training was conducted for 13 days in three training centres (Dohuk, Erbil, Suleimaniya) in Kurdistan region,and in eight training centres in Centre/South Iraq. A total number of 207 trainees from Kurdistan region and 610 trainees from Centre/South Iraq participated in these trainings in the capacity of interviewers, local supervisors, local editors, and reserves.
The data were collected by 118 teams, each comprised of six members. The teams were composed by a field supervisor, directing the field team activities, and ultimately responsible of the achievement and maintenance of the standard of data quality; a field editor, who monitored the interviews and edited the completed questionnaires to assure accuracy and consistency; and four interviewers. Among those four interviewers, each team had a statistician who established the contact with the household and identified all the household members (filling the roster); a measurer, in charge of measuring and weighting the children, and conducting the salt and water tests; and eventually two female physicians who were in charge of administering the women and children questionnaires. The number of teams for each governorate varied according to the number of districts (Qadaa) in each governorate. Each team was responsible for the coverage of one district.
Field work was carried out in the Kurdistan region from February 13 until March 18 2011 by 33 teams. In the Center/South Iraq it was conducted by 85 teams and lasted from March 31 until May 9, 2011 by 85 teams. The fieldwork lasted 34 days, with subsequent visits to complete interviews in some households. At each governorate statistical office,the head of the office was assigned the role of a local supervisor for his/her governorate. One central supervisor from CSO was also responsible for each governorate with the exception of governorates of AI-Anbar, Salahaddin, Kirkuk, Baghdad, Suleimaniya, Erbil that had two central supervisors for each. Overall supervision of the whole survey was overseen by the Higher National Committee whose members conducted field visits to all governorates as part of their direct supervision during the course of fieldwork.
Questionnaires were edited in the field by the local editors. A second round of editing was performed centrally at CSO office in Baghdad and KRSO office in Erbil. The data entry process began using 95 microcomputers (70 in Baghdad and 25 in Kurdistan Region) using the Census and Survey Processing System (CSPro). In order to ensure quality control, all questionnaires were double entered and internal consistency checks were performed. Procedures and standard programs developed under the global MICS4 programme and adapted to the Iraq questionnaires were used throughout. Data entry took place in Baghdad from May until August 2011. In the Kurdistan Region, the entry process began in April and ended in June 2011. Data processing ended in October 2011, and overall data quality was assessed in November 2011. Data were analysed using the Statistical Package for Social Sciences (SPSS) software program, Version 18, and the model syntax and tabulation plans developed by UNICEF were used for this purpose.
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, SPSS Version 18 Complex Samples module has been used. In addition to the sampling error measures described above, the tables also include weighted and unweighted counts of denominators for each indicator.
Sampling errors are calculated for indicators of primary interest, for the national level, for the regions, and for urban and rural areas. Three of the selected indicators are based on households, 8 are based on household members, 13 are based on women, and 15 are 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:
The results of each of these data quality tables are shown in appendix D in the document "Iraq Multiple Indicator Cluster Survey 2009 - Report" pp.51-64.
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, Central Statistics Organization and Kurdistan Regional Statistics Office of Iraq. Iraq Multiple Indicator Cluster Survey (MICS) 2011. Ref. IRQ_2011_MICS_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 | URL | |
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Childinfo | UNICEF | mics@unicef.org | http://www.childinfo.org/mics4_surveys.html |
Central Statistical Organization Iraq | http://cosit.gov.iq/en/ |
DDI_IRQ_2011_MICS_v01_M_WB
Name | Affiliation | Role |
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Development Data Group | The World Bank | Documentation of the DDI |
2013-02-05
Version 02 (April 2014). Version 01 (February 2013).
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