{"doc_desc":{"title":"Multiple indicator cluster survey 2019-2020","idno":"DDI-PSE-PCBS-MICS-2019-2020-V1.0","producers":[{"name":"Palestinian Central Bureau of Statistics","abbreviation":"PCBS","affiliation":"State of Palestine","role":"Collection, processing and dissemination data"}],"prod_date":"2021-12-12","version_statement":{"version":"V1.0"}},"study_desc":{"title_statement":{"idno":"PSE-PCBS-MICS-2019-2020-V1.0","title":"Multiple indicator cluster survey 2019-2020","alt_title":"MICS","translated_title":"\u0627\u0644\u0645\u0633\u062d \u0627\u0644\u0639\u0646\u0642\u0648\u062f\u064a \u0645\u062a\u0639\u062f\u062f \u0627\u0644\u0645\u0624\u0634\u0631\u0627\u062a 2019-2020"},"authoring_entity":[{"name":"Palestinian Central Bureau of Statistics","affiliation":"State of Palestine"}],"oth_id":[{"name":"United Nations Children\u2019s Fund (UNICEF)","affiliation":"UNICEF","email":"","role":"financial and technical  support "},{"name":"United Nations Population Fund","affiliation":"UNFPA","email":"","role":"financial and technical  support "}],"production_statement":{"producers":[{"name":"UNICEF, <Country> Country Office","affiliation":"UNICEF","role":"Technical assistance"}],"copyright":"(c)  All Rights Reserved.  Palestinian Central Bureau of Statistics,  (2019-2020)","funding_agencies":[{"name":"UNICEF","abbreviation":"UNICEF","role":"Funding of survey implementation"},{"name":"UNFPA","abbreviation":"UNFPA","role":"Funding of survey implementation"}]},"distribution_statement":{"contact":[{"name":"Division of user services","affiliation":"Palestinian Central Bureau of Statistics","email":"Dus@pcbs.gov.ps","uri":"www.pcbs.gov.ps"},{"name":"Mail office","affiliation":"Palestinian Central Bureau of Statistics","email":"Diwan@pcbs.gov.ps","uri":"www.pcbs.gov.ps"}]},"series_statement":{"series_name":"Multiple Indicator Cluster Survey - Round 3 [hh\/mics-3]","series_info":"The Multiple Indicator Cluster Survey, Round 6 (MICS6) is the sixth round of MICS surveys, previously conducted 2000 (MICS2),2010 (MICS4) and 2014 (MICS5).  Many questions and indicators are consistent and compatible with the prior rounds of MICS5, MICS4, although there have been a number of changes in definition of indicators between rounds. Details can be found by reviewing the indicator definitions."},"version_statement":{"version":"V1.0: data used for preparation of final report tabulations","version_date":"2021-01-01"},"study_info":{"topics":[{"topic":"childbearing, family planning and abortion [8.2]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"general health [8.4]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"health care and medical treatment [8.5]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"nutrition [8.7]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"specific diseases and medical conditions [8.9]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"drug abuse, alcohol and smoking [8.3]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"natural resources and energy [9.3]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"plant and animal distribution [9.4]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"housing [10.1]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"children [12.1]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"family life and marriage [12.5]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"social behaviour and attitudes [13.6]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"fertility [14.2]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"morbidity and mortality [14.4]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"basic skills education [6.1]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"compulsory and pre-school education [6.2]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"}],"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 20 years MICS has evolved to respond to changing data needs, expanding from 28 indicators in the first round to 200 indicators in the current sixth round, and becoming a key source of data on child protection, early childhood education, and a major source of data on child health and nutrition. In addition to being a data collection tool to generate data for monitoring the progress towards national goals and global commitments aimed at promoting the welfare of children, MICS has provided valuable data for MDG monitoring being a major source of data for the UN Secretary General's Final Millennium Development Goals Progress Report.\n\nMICS was already covering some of the SDG indicators that are household-based. After undergoing rigorous methodological and validation work to broaden the scope of the tools and include new topics that reflect SDG indicators and emerging issues in the 2030 Agenda for Sustainable Development context.","time_periods":[{"start":"2019-12-01","end":"2020-01-20","cycle":""}],"coll_dates":[{"start":"2019-12-01","end":"2020-01-20","cycle":""}],"nation":[{"name":"Palestine","abbreviation":"PSE"}],"geog_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.","analysis_unit":"Households (defined as a group of persons who usually live and eat together).\n\nHousehold 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).\n\nWomen aged 15-49 years\n\nChildren aged 0-4 years\n\nChildren aged 5-17 years","universe":"The survey covered a household questionnaire to collect basic demographic information on all household members (usual residents), the household, and the dwelling;  a water quality testing questionnaire administered in 5 households selected; 4 for testing and 1 for blank testing, in each cluster of the sample;  a questionnaire for individual women administered in each household to all women age 15-49 years;  an under-5 questionnaire, administered to mothers (or caretakers) of all children under 5 living in the household; and  a questionnaire for children age 5-17 years, administered to the mother (or caretaker) of one randomly selected child age 5-17 years living in the household.","data_kind":"Sample survey data [ssd]","notes":"The Palestinian Multiple Indicator Cluster Survey included the following modules in the questionnaires:\n\nHOUSEHOLD QUESTIONNAIRE :Household Information Panel,  Household listing, education, household characteristics, social transfers, household energy use, water and sanitation, handwashing, and salt iodization.\n\nWATER QUALITY TESTING QUESTIONNAIRE : water quality test and results.\n\nWOMEN'S QUESTIONNAIRE 15-49 YEARS: Woman's Information Panel, Woman's background, mass media and ICT, marriage, fertility\/birth history, desire for last birth, maternal and newborn health, post-natel  health checks, contraception, unmet need, attitudes toward domestic violence, victimization, adult function,  HIV\/AIDS knowledge, tobacco, and life satisfaction. \n\nQUESTIONNAIRE FOR CHILDREN UNDER FIVE : under five Child Information Pane , under five background, birth registration, early childhood development, child discipline, child functioning , breastfeeding and dietary intake, immunization, care of illness and anthropometry.\n\nQUESTIONNAIRE FOR CHILDREN AGE 5-17 years: 5-17 Child Information Pane , child's  background, child labour, child discipline, child functioning, parental involvement, foundational learning skills."},"method":{"data_collection":{"data_collectors":[{"name":"Palestinian Central Bureau of Statistics","abbreviation":"PCBS","affiliation":"Palestinian National Authority "}],"sampling_procedure":"After determining the sample size which equals 10,080 households, we selected a probability sample, which is multi-stage stratified cluster sample as following:\n\nFirst stage: selecting sample of clusters (enumeration areas), using PPS without replacement method to get 420 enumeration areas from the total EAs frame\n\nSecond stage: selecting 24 households from each EA selected in the first stage.\n\nThird stage: Select the targeting person.\n\n- Sample Strata \nThe population was divided by:\n1- Governorate: 16 governorates, 11 in the West Bank, and 5 in the Gaza Strip. The process of publishing at the level of Jerusalem J1 has been taken into consideration.\n2- locality type (urban, rural, refugee camps).","sampling_deviation":"No major deviations from the original sample design were made.  All sample enumeration areas were accessed and successfully interviewed with good response rates.","coll_mode":["Computer Assisted Personal Interview [capi]"],"research_instrument":"The Palestinian Multiple Indicator Cluster Survey included the following modules in the questionnaires:\n\nHOUSEHOLD QUESTIONNAIRE : Household listing, education, household characteristics, social transfers, household energy use, water and sanitation, handwashing, and salt iodization.\n\nWATER QUALITY TESTING QUESTIONNAIRE : water quality test and results.\n\nWOMEN'S QUESTIONNAIRE 15-49 YEARS: Woman's background, mass media and ICT, marriage, fertility\/birth history, desire for last birth, maternal and newborn health, post-natel  health checks, contraception, unmet need, attitudes toward domestic violence, victimization, adult function,  HIV\/AIDS knowledge, tobacco, and life satisfaction. \n\nQUESTIONNAIRE FOR CHILDREN UNDER FIVE : under five background, birth registration, early childhood development, child discipline, child functioning , breastfeeding and dietary intake, immunization, care of illness and anthropometry.\n\nQUESTIONNAIRE FOR CHILDREN AGE 5-17 years: child's  background, child labour, child discipline, child functioning, parental involvement, foundational learning skills.\n\n The questionnaires were based on the MICS6 standard questionnaires5 . From the standard MICS6 English version, the questionnaires were customised and translated into Arabic and were pre-tested in May 2019.  Based on the results of the pre-test, modifications were made to the wording and translation of the questionnaires","coll_situation":"In May 2019, 4 clusters were selected for the pre-test, out of each cluster 24 households were selected for interview. The selected clusters were: a Rural area in Ramallah governorate in the central of the West Bank, a refugee camp in Bethlehem Governorate in the south of the West Bank, and an Urban area in Nablus governorate in the North of the West Bank. In addition to one urban locality in Gaza Strip. Based on the results of the pre-test, modifications were made to the wording and translation of the questionnaires.\n \n The CAPI application was tested in 4 clusters, and out of each cluster, 24 households were selected for an interview during October, 2019. The selected clusters included: a rural area in Ramallah Governorate in the Central of the West Bank, an urban area in Hebron Governorate in the southern of the West Bank, and a refugee camp in Jenin Governorate in theNorthern of the West Bank. In addition to one urban locality in Gaza Strip. Based on the results of the CAPI-test, modifications were made to the application.","act_min":"The data were collected by 26 teams; each was comprised of 4-5 interviewers, one measurer and a supervisor. Fieldwork began in December, 2019 and concluded in January, 2020. Data was collected using tablet computers running the Windows 10 operating system, utilising a Bluetooth application for field operations, enabling transfer of assignments and completed questionnaires between supervisor and interviewer tablets.\n\nWhere the questionnaire was filled out on a survey application that was built on the CSpro software package for data entry and processing","weight":"The Palestinian MICS 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.\n\nSince the number of households in each enumeration area (PSU) from the 2017 Census frame used for the first stage selection and the updated number of households in the enumeration area from the listing are generally different, individual overall probabilities of selection for households in each sample enumeration area (cluster) were calculated. \n\nAfter the completion of fieldwork, response rates were calculated for each sampling stratum. These were used to adjust the sample weights calculated for each cluster. \n\nSample weights were appended to all data sets and analyses were performed by weighting households, women, under-5s, or child 5-17 years old with these sample weights.","cleaning_operations":"During the fieldwork, field-testing the use of tables that examine the distribution and collection of questionnaires depending on the difference, sex ratio, age heaping, target groups, and other relevant tests\n\nCompleting the questionnaire was done through the use of a software package, where all the examination rules were placed on the application, which enabled the researcher to review any errors while she was in the household. In Jerusalem J1, there was an office audit of the questionnaire , then it were entered.","method_notes":"After receipt of the raw data file it has been cleaned and examined the abnormal values ??and examine the consistency between the different questions on the questionnaire"},"analysis_info":{"response_rate":"10,080 households selected for the sample, 9,751 were found occupied. Of these, 9,326 were successfully interviewed for a household response rate of 95.6 percent.\nThe Water Quality Testing Questionnaire was administered to 1,909 randomly selected households in each cluster. Of these, 1,848 were successfully tested for household drinking water yielding a response rate of 96.8 percent. Also 1,819 were successfully tested for source drinking water quality yielding a response rate of 95.3 percent.\nIn the interviewed households, 11,464 women (age 15-49 years) were identified. Of these, 11,135 were successfully interviewed, yielding a response rate of 97.1 percent within the interviewed households.\nThere were 6,394 children under age five listed in the household questionnaires. Questionnaires were completed for 6,328 of these children, which corresponds to a response rate of 99.0 percent within interviewed households.\nA sub-sample of children age 5-17 years was used to administer the questionnaire for children age 5-17. Only one child has been selected randomly in each household interviewed, and there were 14,329 children age 5-17 years listed in the household questionnaires. Of these, 5,456 children were selected, and questionnaires were completed for 5,360 which correspond to a response rate of 98.2 percent within the interviewed households.\nOverall response rates of 92.9, 94.7, and 94.0 percent are calculated for the individual interviews of women, under-5s, and children age 5-17 years, respectively.","sampling_error_estimates":"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. \n\nStatistical Errors\nSince 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.\n\nData 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.\n\nNon-Statistical Errors\nProcedures 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.\nIn order to reduce the percentage of errors that can occur during the completion of the questionnaire on the tablet, the software package (the application) has been designed very carefully so as not to allow any consistency errors that may occur during the entry process.\n\nIn 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: \nOccurrences of missing values and answers like \"other\" and \"do not know\".\nExamining inconsistencies between the various sections of the questionnaire, including within record and cross-record consistencies. comprarability of data with previous surveys 2010, 2014 and showed logical homogeneity in the results.\n\nThe results of these assessment procedures show that the data are of high quality and consistency."}},"data_access":{"dataset_use":{"conf_dec":[{"txt":"General Statistics Law No. (5) for Year 2000\n\nArticle (17)\n1.  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, \n     or used for any purpose other than for preparing statistical tables. \n2.  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.","required":"yes","form_no":"","uri":""}],"contact":[{"name":"Palestinian Central Bureau of Statistics","affiliation":"State of Palestine","email":"diwan@pcbs.gov.ps","uri":"www.pcbs.gov.ps"}],"cit_req":"Palestinian Central Bureau of Statistics. Palestinian Multiple Indicator Cluster Survey 2019-2020, Survey Findings Report, V1.0. (01-2021).  Ramallah - Palestine","conditions":"1.     Pledges  the utilization of \u201cdata\u201d 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\n        or transformed setting for purposes other than meeting the requirements of the statistical programs used in data analysis.\n\n2.     Utilization of \u201cdata\u201d or any copies thereof is limited to personal computers normally .\n\n3.     Pledges not to alter the value of any observation in the original \u201cdata\u201d; nevertheless, this does not apply on subjecting data to any processes or procedures aiming to derive new variables. The first party does\n         not bear any professional, administrative or financial responsibility for any losses incurred as a result of changes in the variables values.","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."}}}}