Multiple indicator cluster survey 2014
West Bank and Gaza, 2014
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Reference ID
PSE-PCBS-MICS-2014-V1.0
Producer(s)
Palestinian Central Bureau of Statistics
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May 08, 2023
Last modified
May 18, 2023
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Identification
Survey ID Number
PSE-PCBS-MICS-2014-V1.0
Title
Multiple indicator cluster survey 2014
Translated Title
المسح العنقودي متعدد المؤشرات 2014
Country
| Name | Country code |
|---|---|
| Palestine | PSE |
Study type
Multiple Indicator Cluster Survey - Round 2 [hh/mics-2]
Series Information
The Multiple Indicator Cluster Survey, Round 6 (MICS6) is the fifth round of MICS surveys, previously conducted 2000 ,2010. Many questions and indicators are consistent and compatible with the prior rounds of MICS surveys 2010, although there have been a number of changes in definition of indicators between rounds.
Abstract
The Multiple Indicator Cluster Survey (MICS) is an international household survey programme developed and supported by UNICEF. MICS is designed to collect estimates of key indicators that are used to assess the situation of children and women.
Over the past years, the Multiple Indicator Cluster Survey has developed due to the increasing data needs, as the survey provides up-to-date information on the health, economic and social status of children and women, in addition to providing data and information about the characteristics of the family in which both the woman and the child live, allowing study, analysis and understanding The reality of the indicators and their relationship to demographic, social, economic and environmental variables. The survey also measures the basic indicators that allow countries to monitor their progress towards achieving the Millennium Development Goals (MDGs), in addition to measuring the level of fulfillment of other internationally agreed commitments, in addition to enabling policy and decision makers to evaluate Plans and programs, modifying them, and identifying areas of intervention based on the results
Over the past years, the Multiple Indicator Cluster Survey has developed due to the increasing data needs, as the survey provides up-to-date information on the health, economic and social status of children and women, in addition to providing data and information about the characteristics of the family in which both the woman and the child live, allowing study, analysis and understanding The reality of the indicators and their relationship to demographic, social, economic and environmental variables. The survey also measures the basic indicators that allow countries to monitor their progress towards achieving the Millennium Development Goals (MDGs), in addition to measuring the level of fulfillment of other internationally agreed commitments, in addition to enabling policy and decision makers to evaluate Plans and programs, modifying them, and identifying areas of intervention based on the results
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Households (defined as a group of persons who usually live and eat together).
Household members (defined as members of the household who usually live in the household, which may include persons who did not sleep in the household the previous night; it does not include visitors who slept in the household the previous night but who do not usually live in the household).
Women aged 15-49 years
Children aged 0-4 years
Household members (defined as members of the household who usually live in the household, which may include persons who did not sleep in the household the previous night; it does not include visitors who slept in the household the previous night but who do not usually live in the household).
Women aged 15-49 years
Children aged 0-4 years
Version
Version Description
V1.0: data used for preparation of final report tabulations for public use
Version Date
2022-10-17
Scope
Notes
The Palestinian Multiple Indicator Cluster Survey included the following modules in the questionnaires:
HOUSEHOLD QUESTIONNAIRE :Household Information Panel, list of Household members, education, child discipline, household characteristics,water and sanitation, and salt iodization.
WOMEN'S QUESTIONNAIRE 15-49 YEARS: Woman's Information , Woman's background, marriage, fertility/birth history, desire for last birth, maternal and newborn health, post-natel health checks, contraception, unmet need, and HIV/AIDS knowledge.
QUESTIONNAIRE FOR CHILDREN UNDER FIVE : under five Child Information Panel , age, birth registration, early childhood development, breastfeeding and dietary intake, immunization, care of illness, and anthropometry.
HOUSEHOLD QUESTIONNAIRE :Household Information Panel, list of Household members, education, child discipline, household characteristics,water and sanitation, and salt iodization.
WOMEN'S QUESTIONNAIRE 15-49 YEARS: Woman's Information , Woman's background, marriage, fertility/birth history, desire for last birth, maternal and newborn health, post-natel health checks, contraception, unmet need, and HIV/AIDS knowledge.
QUESTIONNAIRE FOR CHILDREN UNDER FIVE : under five Child Information Panel , age, birth registration, early childhood development, breastfeeding and dietary intake, immunization, care of illness, and anthropometry.
Topics
| Topic | Vocabulary | URI |
|---|---|---|
| childbearing, family planning and abortion [8.2] | CESSDA | Link |
| general health [8.4] | CESSDA | Link |
| health care and medical treatment [8.5] | CESSDA | Link |
| nutrition [8.7] | CESSDA | Link |
| specific diseases and medical conditions [8.9] | CESSDA | Link |
| natural resources and energy [9.3] | CESSDA | Link |
| plant and animal distribution [9.4] | CESSDA | Link |
| housing [10.1] | CESSDA | Link |
| children [12.1] | CESSDA | Link |
| family life and marriage [12.5] | CESSDA | Link |
| social behaviour and attitudes [13.6] | CESSDA | Link |
| fertility [14.2] | CESSDA | Link |
| morbidity and mortality [14.4] | CESSDA | Link |
| compulsory and pre-school education [6.2] | CESSDA | Link |
Coverage
Geographic Coverage
The survey is nationally representative and covers the whole of Palestine and The Data are representative at region level (West Bank, Gaza Strip), locality type (urban, rural, camp) and governorates.
Universe
The survey covered a household questionnaire to collect basic demographic information on all household members (usual residents), the household, and the dwelling; a questionnaire for individual women administered in each household to all women age 15-49 years; and an under-5 questionnaire, administered to mothers (or caretakers) of all children under 5 living in the household.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Palestinian Central Bureau of Statistics | State of Palestine |
Producers
| Name | Affiliation | Role |
|---|---|---|
| unicef | unicef | Technical assistance |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| unicef | unicef | Funding of survey implementation |
| unfpa | unfpa | Funding of survey implementation |
Other Identifications/Acknowledgments
| Name | Affiliation | Role |
|---|---|---|
| United Nations Children’s Fund (UNICEF) | UNICEF | financial and technical support |
| United Nations Population Fund | UNFPA | financial support |
Sampling
Sampling Procedure
After determining the sample size which equals 11,125 households,7,375 in the West Bank, and 3,750 in Gaza Strip
we selected a probability sample, which is multi-stage stratified cluster sample as following:
First stage: selecting sample of clusters (enumeration areas), using PPS without replacement method to get 445 enumeration areas from the total EAs frame
Second stage: selecting 25 households from each EA selected in the first stage.
- Sample Strata
The population was divided by:
1- Governorate: 16 governorates, 11 in the West Bank, and 5 in the Gaza Strip.
2- locality type (urban, rural, refugee camps).
we selected a probability sample, which is multi-stage stratified cluster sample as following:
First stage: selecting sample of clusters (enumeration areas), using PPS without replacement method to get 445 enumeration areas from the total EAs frame
Second stage: selecting 25 households from each EA selected in the first stage.
- Sample Strata
The population was divided by:
1- Governorate: 16 governorates, 11 in the West Bank, and 5 in the Gaza Strip.
2- locality type (urban, rural, refugee camps).
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
11,125 households selected for the sample, 10568 were found occupied. Of these, 10182 were successfully interviewed for a household response rate of 96.3 percent.
In the interviewed households, 13964 women (age 15-49 years) were identified. Of these, 13367 were successfully interviewed, yielding a response rate of 95.7 percent within the interviewed households.
There were 7919 children under age five listed in the household questionnaires. Questionnaires were completed for 7816 of these children, which corresponds to a response rate of 98.7 percent within interviewed households.
Overall response rates of 92.2,and 95.1 percent are calculated for the individual interviews of women, and under-5s.
In the interviewed households, 13964 women (age 15-49 years) were identified. Of these, 13367 were successfully interviewed, yielding a response rate of 95.7 percent within the interviewed households.
There were 7919 children under age five listed in the household questionnaires. Questionnaires were completed for 7816 of these children, which corresponds to a response rate of 98.7 percent within interviewed households.
Overall response rates of 92.2,and 95.1 percent are calculated for the individual interviews of women, and under-5s.
Weighting
The Palestinian MICS 2014 sample is not self-weighting. Essentially, by allocating equal numbers of households to each of the regions, different sampling fractions were used in each region since the sizes of the regions varied. For this reason sample weights were calculated and these were used in the subsequent analyses of the survey data.
Since the number of households in each enumeration area (PSU) from the 2007 Census frame used for the first stage selection and the updated number of households in the enumeration area from the listing are generally different, it was relied on calculating the number of families from the updated framework that was implemented in 2013. individual overall probabilities of selection for households in each sample enumeration area (cluster) were calculated.
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.
Sample weights were appended to all data sets and analyses were performed by weighting households, women,or under-5s with these sample weights.
Since the number of households in each enumeration area (PSU) from the 2007 Census frame used for the first stage selection and the updated number of households in the enumeration area from the listing are generally different, it was relied on calculating the number of families from the updated framework that was implemented in 2013. individual overall probabilities of selection for households in each sample enumeration area (cluster) were calculated.
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.
Sample weights were appended to all data sets and analyses were performed by weighting households, women,or under-5s with these sample weights.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2014-03-01 | 2014-04-30 |
Time periods
| Start date | End date |
|---|---|
| 2014-03-01 | 2014-04-30 |
Data Collection Mode
Face-to-face [f2f]
Supervision
The data were collected by 28 teams; each was comprised of 4-5 interviewers, one editor, one measurer and a supervisor. The period of data collection began in March/2014 and concluded in April/2014.
Data were entered using the CSPro software, Version 5.0. All the questionnaires were entered by using desktop computers, this process was done by 46 data entry operators and 2 data entry supervisors.
Data were entered using the CSPro software, Version 5.0. All the questionnaires were entered by using desktop computers, this process was done by 46 data entry operators and 2 data entry supervisors.
Data Collection Notes
Training for the fieldwork was conducted for 16 days in February /2014. 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 Jenin, Tulkarm, Nablus, Ramallah, Jerusalem, Bethlehem and Hebron governorates in the West Bank, and Gaza, Deir El-Balah, Khan Yunis governorates in Gaza Strip.
The data were collected by 28 teams; each was comprised of 4-5 interviewers, one editor, one measurer and a supervisor.
The data were collected by 28 teams; each was comprised of 4-5 interviewers, one editor, one measurer and a supervisor.
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Palestinian Central Bureau of Statistics | PCBS | State of Palestine |
Questionnaires
Questionnaires
The Palestinian Multiple Indicator Cluster Survey included the following modules in the questionnaires:
HOUSEHOLD QUESTIONNAIRE :Household Information Panel, list of Household members, education, child discipline, household characteristics,water and sanitation, and salt iodization.
WOMEN'S QUESTIONNAIRE 15-49 YEARS: Woman's Information , Woman's background, marriage, fertility/birth history, desire for last birth, maternal and newborn health, post-natel health checks, contraception, unmet need, and HIV/AIDS knowledge.
QUESTIONNAIRE FOR CHILDREN UNDER FIVE : under five Child Information Panel , age, birth registration, early childhood development, breastfeeding and dietary intake, immunization, care of illness, and anthropometry.
The questionnaires are based on the MICS5 model questionnaire . From the MICS5 model English version, the questionnaires were customised and translated into Arabic
HOUSEHOLD QUESTIONNAIRE :Household Information Panel, list of Household members, education, child discipline, household characteristics,water and sanitation, and salt iodization.
WOMEN'S QUESTIONNAIRE 15-49 YEARS: Woman's Information , Woman's background, marriage, fertility/birth history, desire for last birth, maternal and newborn health, post-natel health checks, contraception, unmet need, and HIV/AIDS knowledge.
QUESTIONNAIRE FOR CHILDREN UNDER FIVE : under five Child Information Panel , age, birth registration, early childhood development, breastfeeding and dietary intake, immunization, care of illness, and anthropometry.
The questionnaires are based on the MICS5 model questionnaire . From the MICS5 model English version, the questionnaires were customised and translated into Arabic
Data Processing
Data Editing
For quality assurance purposes, all questionnaires were double-entered and internal consistency checks were performed. Procedures and standard programs developed under the global MICS programme and adapted to the Palestinian Multiple Indicator Cluster Survey questionnaire were used throughout. Data were entered using the CSPro software, All the questionnaires were entered by using desktop computers
Data processing began simultaneously with data collection in February /2014 and was completed in July /2014. Data were analysed using the Statistical Package for Social Sciences (SPSS) software, Version 19.
Data processing began simultaneously with data collection in February /2014 and was completed in July /2014. Data were analysed using the Statistical Package for Social Sciences (SPSS) software, Version 19.
Data Appraisal
Estimates of Sampling Error
Accuracy of data comprises different aspects of the survey, mainly statistical errors due to the use of a statistical sample, as well as non-statistical errors due to staff and survey tools, in addition to response rates in the survey and its effect on estimates.
Statistical Errors
Since the data reported in this survey are based on a sample survey and not on a complete enumeration, there may be sampling errors as well as non-sampling errors.
Data from this survey may be affected by statistical errors due to use of the sample. Therefore, the emergence of certain differences from the real values obtained through censuses is possible.
Non-Statistical Errors
Procedures were developed to ensure that non-statistical errors were minimized as much as possible. Fieldworkers were selected based on strict criteria with adequate qualifications and experience in data collection. All fieldworkers underwent training on data collection best practices, topics of the questionnaires, and how to interview and obtain accurate answers from respondents.
In addition, office editors were also trained on editing guidance to ensure data was consistent and complete. Data entry programs were also designed to resemble the structure of the questionnaire itself to ensure consistency within the data in each record and cross-records. All entered data were verified by different data entry clerks to ensure that all data were entered correctly.
Statistical Errors
Since the data reported in this survey are based on a sample survey and not on a complete enumeration, there may be sampling errors as well as non-sampling errors.
Data from this survey may be affected by statistical errors due to use of the sample. Therefore, the emergence of certain differences from the real values obtained through censuses is possible.
Non-Statistical Errors
Procedures were developed to ensure that non-statistical errors were minimized as much as possible. Fieldworkers were selected based on strict criteria with adequate qualifications and experience in data collection. All fieldworkers underwent training on data collection best practices, topics of the questionnaires, and how to interview and obtain accurate answers from respondents.
In addition, office editors were also trained on editing guidance to ensure data was consistent and complete. Data entry programs were also designed to resemble the structure of the questionnaire itself to ensure consistency within the data in each record and cross-records. All entered data were verified by different data entry clerks to ensure that all data were entered correctly.
Data Appraisal
Different methods were applied in the assessment of the survey data, including:
Occurrences of missing values and answers like "other" and "do not know", Examining inconsistencies between the various sections of the questionnaire, including within record and cross-record consistencies, Comparability of data with previous surveys 2006, 2010 and showed logical homogeneity in the results. The results of these assessment procedures show that the data are of high quality and consistency.
Occurrences of missing values and answers like "other" and "do not know", Examining inconsistencies between the various sections of the questionnaire, including within record and cross-record consistencies, Comparability of data with previous surveys 2006, 2010 and showed logical homogeneity in the results. The results of these assessment procedures show that the data are of high quality and consistency.
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Division of user services | Palestinian Central Bureau of Statistics | Dus@pcbs.gov.ps | www.pcbs.gov.ps |
| Mail office | Palestinian Central Bureau of Statistics | Diwan@pcbs.gov.ps | www.pcbs.gov.ps |
Confidentiality
General Statistics Law No. (5) for Year 2000
Article (17)
1. All individual information and data submitted to the Bureau for statistical purposes shall be treated as confidential and shall not be divulged, in whole or in part, to any individual or to a public or private body,
or used for any purpose other than for preparing statistical tables.
2. The Bureau shall endeavor to issue official statistical publications in aggregate tables, which do not disclose individual data, in conformity with the confidentiality of statistical data.
Access conditions
1. Pledges the utilization of "data" or any copies thereof shall be limited to the purposes agreed upon including not granting any third parties any access to these data. Restrictions applies to any data duplication
or transformed setting for purposes other than meeting the requirements of the statistical programs used in data analysis.
2. Utilization of "data" or any copies thereof is limited to personal computers normally .
3. Pledges not to alter the value of any observation in the original "data"; nevertheless, this does not apply on subjecting data to any processes or procedures aiming to derive new variables. The first party does
not bear any professional, administrative or financial responsibility for any losses incurred as a result of changes in the variables values.
or transformed setting for purposes other than meeting the requirements of the statistical programs used in data analysis.
2. Utilization of "data" or any copies thereof is limited to personal computers normally .
3. Pledges not to alter the value of any observation in the original "data"; nevertheless, this does not apply on subjecting data to any processes or procedures aiming to derive new variables. The first party does
not bear any professional, administrative or financial responsibility for any losses incurred as a result of changes in the variables values.
Citation requirements
Palestinian Central Bureau of Statistics, Palestinian Multiple Indicator Cluster Survey, 2014. v1.0 (01-2022). Ramallah- Palestine.
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| Palestinian Central Bureau of Statistics | State of Palestine | Diwan@pcbs.gov.ps | www.pcbs.gov.ps |
Disclaimer and copyrights
Disclaimer
PCBS provid data collected for purely statistical purposes, and therefore does not assume any responsibility for legal or professional from any claim or analysis or interpretation or misuse of this data.
Copyright
(c) All Rights Reserved. Palestinian Central Bureau of Statistics, (2014)
Metadata production
DDI Document ID
DDI-PSE-PCBS-MICS-2014-V1.0
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Palestinian Central Bureau of Statistics | PCBS | State of Palestine | Collection, processing and dissemination data |
Date of Metadata Production
2022-04-03
DDI Document version
V1.0