{"doc_desc":{"title":"Palestinian Youth Survey, 2015","idno":"DDI-PSE-PCBS-YOS-2015-V1.0","producers":[{"name":"Palestinian Central Bureau of Statistics","abbreviation":"PCBS","affiliation":"State of Palestine","role":"Collection, processing and dissemination data"}],"prod_date":"2016-08-30","version_statement":{"version":"V1.0"}},"study_desc":{"title_statement":{"idno":"PSE-PCBS-YOS-2015-V1.0","title":"Palestinian Youth Survey, 2015","alt_title":"YOS","translated_title":"\u0645\u0633\u062d  \u0627\u0644\u0634\u0628\u0627\u0628 \u0627\u0644\u0641\u0644\u0633\u0637\u064a\u0646\u064a 2015"},"authoring_entity":[{"name":"Palestinian Central Bureau of Statistics","affiliation":"State of Palestine"}],"oth_id":[{"name":"United Nations Children\u2019s Fund","affiliation":"UNICEF","email":"","role":"Financial assistance"},{"name":"United Nations Population Fund","affiliation":"UNFPA","email":"","role":"Financial assistance"},{"name":"Government of the Kingdom of Belgium through the Belgium Development Agency","affiliation":"BTC","email":"","role":"Financial assistance"}],"production_statement":{"producers":[{"name":"Higher Council For Youth & Sports","affiliation":"State of Palestain","role":"Technical assistance"}],"copyright":"(c)  All Rights Reserved.  Palestinian Central Bureau of Statistics 2016,Palestinian Youth Survey,  2015","funding_agencies":[{"name":"United Nations Children\u2019s Fund","abbreviation":"UNICEF","role":"Financial assistance"},{"name":"United Nations Population Fund","abbreviation":"UNFPA ","role":"Financial assistance"},{"name":"Government of the Kingdom of Belgium through the Belgium Development Agency","abbreviation":"BTC","role":"Financial assistance"},{"name":"Palestine","abbreviation":"pse","role":"Financial assistance"}]},"distribution_statement":{"contact":[{"name":"Division of user services","affiliation":"Palestinian Central Bureau of Statistics","email":"Diwan@pcbs.gov.ps","uri":"www.pcbs.gov.ps"}]},"series_statement":{"series_name":"Other Household Survey [hh\/oth]","series_info":"PCBS allocates particular attention to the Youth Survey because of the different definition of youth age group in studies. Some define youth as the age group (10-24 years) whereas others define them as the age group (15-29 years). In both definitions, youth constitute the largest segment of the Palestinian society. In addition to being the bulk of the society, youth are a vital strength with non-ignorable potential. They are the tenets of the future and the wealth of the nation that overweighs any other sources. Youth are the agent of change in the society. At this state, planning begins to fulfill societal needs in future skills and competences. \n\nThe Youth Survey 2015 aims to provide a number of indicators and information on youth including social participation, education, health, Labour, employment and other socioeconomic indicators. It also reviews their future vision and the challenges they face to assess their needs.  And the adoption of the age group (15-29 years) age as a group represented for youth in this survey."},"version_statement":{"version":"Version 1.0 dataset for public distribution","version_date":"2016-08-30"},"study_info":{"keywords":[{"keyword":"Household","vocab":"Glossary of Statistical","uri":"http:\/\/www.pcbs.gov.ps\/Downloads\/book2185.pdf"}],"topics":[{"topic":"youth [12.10]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"}],"abstract":"PCBS allocates particular attention to the Youth Survey because of the different definition of youth age group in studies. Some define youth as the age group (10-24 years) whereas others define them as the age group (15-29 years). In both definitions, youth constitute the largest segment of the Palestinian society. In addition to being the bulk of the society, youth are a vital strength with non-ignorable potential. They are the tenets of the future and the wealth of the nation that overweighs any other sources. Youth are the agent of change in the society. At this state, planning begins to fulfill societal needs in future skills and competences.","time_periods":[{"start":"2015-08-19","end":"2015-10-08","cycle":""}],"coll_dates":[{"start":"2015-08-19","end":"2015-10-08","cycle":""}],"nation":[{"name":"Palestine","abbreviation":"PSE"}],"geog_coverage":"Palestine","analysis_unit":"individual\/ Household","universe":"It consists all the individuals in the age group 15-29 years old and living with their households normally in the State of Palestine  in 2015.","data_kind":"Sample survey data [ssd]","notes":"The Survey comprised two questionnaires:\nFamily questionnaire: The questionnaire included detailed questions on the demographic, social, educational, professional and matrimonial characteristics of family members in addition to data on housing and identification of youth eligible for the interviews.\n\nYouth Survey (15-29 years), which including the following sections:\n\u00b7\tEducation (educational experience in different stages, assessment of educational stages, characteristics of youth enrolled in education, level of satisfaction with the learning experience)\n\u00b7\tWork and pay (employment status, characteristics of employed people, characteristics of unemployed people, entrepreneurship, financial status and savings)\n\u00b7\tEmigration (trends of emigration to other countries, emigration of friends and relatives, emigration experience)\n\u00b7\tMatrimonial and health status (spouses relation, matters related to housing, gender roles, public health, nutrition, mental health, social communication, sports and exercising, HIV awareness, life satisfaction, sexual and reproductive health)\n\u00b7\tSocial participation (volunteer activities, community outreach, friends, family support, social values, political participation and future aspirations, Internet and social media)"},"method":{"data_collection":{"data_collectors":[{"name":"Palestinian Central Bureau of Statistics","abbreviation":"PCBS","affiliation":"Palestinian National Authority "}],"sampling_procedure":"The sampling frame consists of all enumeration areas which were enumerated in 2007, each numeration area consists of buildings and housing units with average of about 124 households in it. These enumeration areas are used as primary sampling units( PSUs) in the first stage of the sampling selection.\nThe sample is three stage stratified cluster (pps) sample:\n \n\nFirst stage: selection a stratified sample of 321 EA with (pps) method.\n\nSecond stage: selection a random area sample of 25 households from each enumeration area selected in the first stage, the selection starts from a random point in the enumeration area        (building number), Where include cases of non-responding households,  and the responsive households  where the age group 15-29 years  is not available, and the responsive households where the age group 15-29 years  is available.\n\nThird stage: we selected one person in the household of the( 15-29) age group in a random method by using Kish tables, so that the sex of the person chosen by the serial questionnaire number in the EA  sample, if an odd number we select male person and if even number we select female person.\n\nSample strata:\nThe population was divided by:\n1- Governorate (17 governorates)\n2- Type of Locality (urban, rural, refugee camps)","coll_mode":["Face-to-face [f2f]"],"research_instrument":"he Survey comprised two questionnaires:\nFamily questionnaire: The questionnaire included detailed questions on the demographic, social, educational, professional and matrimonial characteristics of family members in addition to data on housing and identification of youth eligible for the interviews.\n\nYouth Survey (15-29 years), which including the following sections:\n\u00b7\tEducation (educational experience in different stages, assessment of educational stages, characteristics of youth enrolled in education, level of satisfaction with the learning experience)\n\u00b7\tWork and pay (employment status, characteristics of employed people, characteristics of unemployed people, entrepreneurship, financial status and savings)\n\u00b7\tEmigration (trends of emigration to other countries, emigration of friends and relatives, emigration experience)\n\u00b7\tMatrimonial and health status (spouses relation, matters related to housing, gender roles, public health, nutrition, mental health, social communication, sports and exercising, HIV awareness, life satisfaction, sexual and reproductive health)\n\u00b7\tSocial participation (volunteer activities, community outreach, friends, family support, social values, political participation and future aspirations, Internet and social media)","coll_situation":"\u00b7\tThe fieldwork team received a one-week training between 9 and 13 August 2015. The 140 trainees sat for an evaluation to select 122 to work in different jobs depending on their assessment results during the training and final exam.  field data were collected in the period from 19 August to 8          October 2015.\n\nAll field staff received a training session combining general theoretical and practical components.  Interviewers, supervisors and editors for the survey.  Fieldwork procedures and organization were designed to ensure adequate supervision and the collection of high quality data  To this end, several quality control measures were used throughout fieldwork","act_min":"There was constant contact with the field staff by continuing to carry on the course of the field work for the project field visits were regular meetings held with the field team through the various field visits, has also been continuously addressing the problems faced by the researchers during the field work and developing appropriate solutions from through the issuance of instructions in the event of a lack of clarity or a certain concept in the event of an outbreak in the field need to be further clarified.","weight":"The weight of statistical units (sampling unit) in the sample is defined as the mathematical inverse of the selection probability where the sample of the survey is two stage stratified cluster (pps) sample, In the first stage,  we calculate the weight of enumeration areas which  depending on  the probability of each enumeration area(a pps sample), then In the second stage we calculate weight of households  in each enumeration area, Initial households weights resulted from product of weight of first stage and weight of second stage ,final households weights obtained after adjustment of initial weights with the households estimates mid 2015 on the level of design strata (governorate, locality type).   \nWeights for ROSTER ( all individuals ) were file computed by following:\n1-\tadding the household weights (wh) for each person household which know as the primary weight of person.\n2-\tadjust the primary persons weights to be combatable with the total population at the middle 2015 on the levels ( region ( west bank ,Gaza strip), gender ( male , female ), five-year age group (17 group).\n3-\tfinally we obtain the final person weight in each adjusted level, and getting the relative weight by dividing each person weight by the average of weights.\n\nWeights for (15-29 year) file computed by following:\n1-\tadding the household weights (wh) for each person.\n2-\tWe calculate the primary person weight by multiplying (the household weight which the person belong to) and the # of person in the age group (15-29year ) by gender in the household which the person belong to.  \n3-\tadjust the primary persons weights to be combatable with the population persons size at the middle of 2015 by these adjusted levels( region ( west bank ,Gaza strip),           gender ( male , female), three age group ( 15-19, 20-24, 25-29).\n4-\tfinally we obtain the final person weight in each adjusted level which the person belong to.","cleaning_operations":"\u00b7\tDuring this phase, a data-entry program was prepared using Oracle. Amendments were introduced to the entry screens to set entry bases in a manner that guarantees proper entry of all questionnaires and queries for data cleansing after entry. The queries test variables at questionnaire level.\n\u00b7\tAt this stage, questionnaires were received from fieldwork coordinator using the template prepared for this purpose. The officer in charge controls the questionnaires to ensure they are all received using the template prepared for this purpose.\n\u00b7\tEntry and cleansing of data took place in the period from 31 August 2015 to 29 November 2015.","method_notes":"\u00b7 this phase involves post-entry registration. Officers in charge compare data entered with the original questionnaire to rectify entry errors - if any - using applicable procedures as per the template prepared for this purpose. Daily progress report are submitted to attest on the accuracy of entry for administrative follow-up."},"analysis_info":{"response_rate":"The response rate in the West Bank reached 94.9 % while in Gaza Strip it reached 97.2%.\nThe response rate in Palestine reached 95.7 %","sampling_error_estimates":"Data of this survey affected by sampling errors due to use of the sample and not a complete enumeration. Therefore, certain differences are expected in comparison with the real values obtained through censuses. Variance were calculated for the most important indicators, the variance table is attached with the final report. There is no problem to disseminate results at the national level and governorate level.","data_appraisal":"Non-sampling errors are probable in all stages of the project, during data collection or processing. This is referred to as non-response errors, response errors, interviewing        errors, and data entry errors.  To avoid errors and reduce their effects, great efforts were made to train the fieldworkers intensively.  They were trained in how to carry out the interview, what to discuss and what to avoid, carrying out a pilot survey and practical and theoretical training during the training course.\nAlso data entry staff was trained on the entry program that was examined before starting the data entry process.  Continuous contacts with the fieldwork team were maintained through regular visits to the field and regular meetings during the different field visits.  Problems faced by fieldworkers were discussed to clarify issues and provide relevant instructions.\n\nThe implementation of the survey encountered non-response where the case (Refused to cooperate) during the fieldwork visit become the high percentage of the non response cases which reached 1.6% which is low percentage compared to the household surveys conducted by PCBS, and the reason is the clear questionnaire and the experience of the fieldwork. The lowest value of response rate reached 92.7% in the middle of west bank, and  The highest value of response rate reached 98.5% in the south of west bank."}},"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, 2016.  Palestinian Youth Survey,  2015- Main Findings.  Ramallah-Palestine.","conditions":"License Agreement for the Use of Micro Data in PCBS \nitems(10,11,12) as following:\n\n\n1. 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.\n\n2. Utilization of \"data\" or any copies thereof is limited to personal computers normally .\n\n3. 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.","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."}}}}