Violence Survey in the Palestinian Society 2019
West Bank and Gaza, 2019
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Reference ID
PSE-PCBS-DVS-2019-V1.0
Producer(s)
Palestinian Central Bureau of Statistics
Collections
Created on
May 09, 2023
Last modified
May 21, 2023
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Identification
Survey ID Number
PSE-PCBS-DVS-2019-V1.0
Title
Violence Survey in the Palestinian Society 2019
Translated Title
مسح العنف في المجتمع الفلسطيني 2019
Country
| Name | Country code |
|---|---|
| Palestine | PSE |
Study type
Other Household Survey [hh/oth]
Series Information
The Violence Survey in the Palestinian Society 2019 is a specialized valuable survey, which was implemented in Palestine for the third time. The first survey was conducted in 2005 and the second followed in 2011. The survey is of great importance as it sheds light on the phenomenon of violence in the Palestinian society
Abstract
The main objective of this survey is centered to provide comprehensive and representative statistics on violence in the Palestinian society, especially among the following groups: married or ever married women aged (15-64) years, married or who have been married men aged (18-64) years, male and female individuals aged (18-64) years who have never been married, children aged (12-17) years, and elderly persons aged 65 years and above.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Member
Households
Households
Version
Version Description
V1.0
Version Date
2020-06-03
Scope
Notes
provide comprehensive and representative statistics on violence in the Palestinian society, especially among the following groups:
Married or ever married women aged (15-64) years
Married or who have been married men aged (18-64) years
Individuals ( male and female) aged (18-64) years who have never been married
Elderly persons aged 65 years and above.
Children (male and female) from the age group (1-11) years
Children (male and female) aged (12-17) years
Married or ever married women aged (15-64) years
Married or who have been married men aged (18-64) years
Individuals ( male and female) aged (18-64) years who have never been married
Elderly persons aged 65 years and above.
Children (male and female) from the age group (1-11) years
Children (male and female) aged (12-17) years
Topics
| Topic | Vocabulary | URI |
|---|---|---|
| gender and gender roles [12.6] | CESSDA | Link |
Keywords
| Keyword | Vocabulary | URI |
|---|---|---|
| Domestic violence | Terminology and Indicators Statistical Database | Link |
Coverage
Geographic Coverage
Dissemination Domains
1.National level: State of Palestine.
2.Region level: (West Bank and Gaza Strip).
3.Locality type (urban, rural, camp).
1.National level: State of Palestine.
2.Region level: (West Bank and Gaza Strip).
3.Locality type (urban, rural, camp).
Universe
The target population (groups) for Violence Survey in the Palestinian Society, 2019 are:
1.Currently married or ever married women aged (15-64 years).
2.Children (male and female) aged (1-11 years).
3.Currently married or ever married men aged (18-64 years).
4.Individuals (male and female) aged (18-64 years) who have never been married.
5.Children (male and female) aged (12-17 years).
6.Elderly persons aged (65 years and above).
1.Currently married or ever married women aged (15-64 years).
2.Children (male and female) aged (1-11 years).
3.Currently married or ever married men aged (18-64 years).
4.Individuals (male and female) aged (18-64 years) who have never been married.
5.Children (male and female) aged (12-17 years).
6.Elderly persons aged (65 years and above).
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Palestinian Central Bureau of Statistics | State of Palestine |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| Ministry of Women’s Affairs | MOWA | Financial Assistance |
| United Nations Population Fund’s | UNFBA | Financial Assistance |
| Italian Agency for Development Cooperation | AICS | Financial Assistance |
| United Nations Economic and Social Commission for Western Asia | Escwa | Financial Assistance |
Other Identifications/Acknowledgments
| Name | Affiliation | Role |
|---|---|---|
| Ministry of Women’s Affairs | MOWA | Funding the survey |
| United Nations Population Fund’s | UNFPA | Funding the survey |
| Italian Agency for Development Cooperation | AICS | Funding the survey |
| United Nations Economic and Social Commission for Western Asia | UN-ESCWA | Funding the survey |
Sampling
Sampling Procedure
The target population (groups) for Violence Survey in the Palestinian Society, 2019 are:
1.Currently married or ever married women aged (15-64 years).
2.Children (male and female) aged (1-11 years).
3.Currently married or ever married men aged (18-64 years).
4.Individuals (male and female) aged (18-64 years) who have never been married.
5.Children (male and female) aged (12-17 years).
6.Elderly persons aged (65 years and above).
Sampling and Frame
Three-stage stratified cluster systematic random sample of households residing in Palestine.
Sampling Framework
The sampling frame consists of the list of enumeration areas of the Population, Housing and Establishments Census, 2017. They are geographical areas of similar size for the most part (with an average of about 150 households), and these enumeration areas are used as primary sampling units (PSUs) in the first sampling selection stage.
Sample Size
12,942 households were reached at the national level; of which 11,545 households responded, 7,913 households in the West Bank and 3,632 households in Gaza Strip.
Sample Design
Three-stage stratified cluster systematic random sample:
Stage I: Selection of a stratified cluster systematic random sample proportional to the size of each household enumeration area (PPS), consisting of (310) enumeration areas.
Stage II: Selection (40) households from each enumeration area in the first stage in a stratified cluster systematic random. (Lists of the heads of households)
Stage III: Selection of one individual of the selected household in the second stage if it has more than one individual from each of the targeted groups in the survey, using Kish (multivariate) table to ensure randomness in the selection process.
In Jerusalem (J1) area, a survey sample of 40 households is selected from each enumeration area in the first stage.
Sample Strata
The population was divided into the following strata:
1.Governorate (16 Governorates in the West Bank including those parts of Jerusalem, which were annexed by Israeli occupation in 1967 (J1) as a separated stratum, and Gaza Strip).
2.Locality type (urban, rural, camp).
1.Currently married or ever married women aged (15-64 years).
2.Children (male and female) aged (1-11 years).
3.Currently married or ever married men aged (18-64 years).
4.Individuals (male and female) aged (18-64 years) who have never been married.
5.Children (male and female) aged (12-17 years).
6.Elderly persons aged (65 years and above).
Sampling and Frame
Three-stage stratified cluster systematic random sample of households residing in Palestine.
Sampling Framework
The sampling frame consists of the list of enumeration areas of the Population, Housing and Establishments Census, 2017. They are geographical areas of similar size for the most part (with an average of about 150 households), and these enumeration areas are used as primary sampling units (PSUs) in the first sampling selection stage.
Sample Size
12,942 households were reached at the national level; of which 11,545 households responded, 7,913 households in the West Bank and 3,632 households in Gaza Strip.
Sample Design
Three-stage stratified cluster systematic random sample:
Stage I: Selection of a stratified cluster systematic random sample proportional to the size of each household enumeration area (PPS), consisting of (310) enumeration areas.
Stage II: Selection (40) households from each enumeration area in the first stage in a stratified cluster systematic random. (Lists of the heads of households)
Stage III: Selection of one individual of the selected household in the second stage if it has more than one individual from each of the targeted groups in the survey, using Kish (multivariate) table to ensure randomness in the selection process.
In Jerusalem (J1) area, a survey sample of 40 households is selected from each enumeration area in the first stage.
Sample Strata
The population was divided into the following strata:
1.Governorate (16 Governorates in the West Bank including those parts of Jerusalem, which were annexed by Israeli occupation in 1967 (J1) as a separated stratum, and Gaza Strip).
2.Locality type (urban, rural, camp).
Response Rate
12,942 representative households were reached. The number of responded households (11,545) including (7,913) in the West Bank and (3,632) in Gaza Strip. Weights were adjusted with the design strata to compensate for the rate of refusal and non-response.
Responses and Non-Responses Cases Number of Cases
Completed households 11,530
Partially completed 15
Households traveling 118
Refused 354
No information was available 72
Uninhabited residence unit 392
The Residence unit does not exist 23
No one at the residence 424
Other 14
Total (total size of sample) 12,942
Total cases of Non-responses x%100 = 7.8%
Non-Response Rate - %100 = 92.2%
Responses and Non-Responses Cases Number of Cases
Completed households 11,530
Partially completed 15
Households traveling 118
Refused 354
No information was available 72
Uninhabited residence unit 392
The Residence unit does not exist 23
No one at the residence 424
Other 14
Total (total size of sample) 12,942
Total cases of Non-responses x%100 = 7.8%
Non-Response Rate - %100 = 92.2%
Weighting
The weight of statistical units (sampling units) in the sample is defined as the mathematical inverse of the selection probability, where the sample of the survey is a three-stage stratified cluster systematic random sample. In the first stage, we calculated the weight of enumeration areas based on the probability of each enumeration area. In the second stage, we calculated the weight of households in each enumeration area. Initial household weights resulted from the product of the weight of the first stage and the weight of the second stage. Then we adjusted the initial weight by producing the initial weight and the attrition factor (attrition from the sample). The final household weights were obtained after adjusting the initial weights with the household estimates for mid 2019 according to design strata (governorate, locality type).
The weights of the household members' files are calculated in the survey by giving each individual his household's final weight, which is the individual's initial weight. The initial individuals' weights are adjusted according to the region, the sex of the individual, and the five-year age groups (17 categories) in which the individual falls according to the estimates of mid June , 2019. The final weight of the individual of his/her category and then we combine these weights for the files of individuals according to each target category.
The relative weight of each sampling unit was calculated by dividing the weight by the average weights.
The weights of the household members' files are calculated in the survey by giving each individual his household's final weight, which is the individual's initial weight. The initial individuals' weights are adjusted according to the region, the sex of the individual, and the five-year age groups (17 categories) in which the individual falls according to the estimates of mid June , 2019. The final weight of the individual of his/her category and then we combine these weights for the files of individuals according to each target category.
The relative weight of each sampling unit was calculated by dividing the weight by the average weights.
Data Collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 2019-03-13 | 2019-05-20 | in Gaza Strip |
| 2019-03-19 | 2019-05-16 | in West Bank |
Time periods
| Start date | End date | Cycle |
|---|---|---|
| 2019-03-13 | 2019-05-20 | in Gaza Strip |
| 2019-03-19 | 2019-05-16 | in West Bank |
Data Collection Mode
Face-to-face [f2f]
Supervision
·Various levels of supervision and monitoring took place according to the following hierarchy:
-Fieldworker: He\She collects the data directly from households and individuals, through personal interviews.
-Fieldwork Supervisor: He\She carries out an administrative and technical follow-up on the fieldworkers.
-Fieldwork Coordinator: He\She carries out an administrative and technical follow-up on the supervisors in addition to checking the workflow data collection as planned.
·The follow-up and data extraction programs are designed through the web, where the project management can enter and view the various reports according to the powers given to them.
·Due to the use of tablets in the collection of data, automated database direct editing was adopted during data collection in all stages to minimize errors since the system sends warning messages and error messages to fieldworkers requesting either amendment or verification of data.
·Because of the particular situation of the Jerusalem Governorate, especially area J1, those parts of Jerusalem, which were annexed by the Israeli occupation in 1967, a different methodology for data collection was adopted, where the paper questionnaire was used, and the editors edited the questionnaire formally and technically according to the pre-prepared edit rules.
·A program for field visits was prepared for on-site follow-up of fieldwork and to assess the key problems to solve them. The visits also reviewed how data were entered on the applications and teams' compliance with the instructions they received during the training to ensure good progress.
-Fieldworker: He\She collects the data directly from households and individuals, through personal interviews.
-Fieldwork Supervisor: He\She carries out an administrative and technical follow-up on the fieldworkers.
-Fieldwork Coordinator: He\She carries out an administrative and technical follow-up on the supervisors in addition to checking the workflow data collection as planned.
·The follow-up and data extraction programs are designed through the web, where the project management can enter and view the various reports according to the powers given to them.
·Due to the use of tablets in the collection of data, automated database direct editing was adopted during data collection in all stages to minimize errors since the system sends warning messages and error messages to fieldworkers requesting either amendment or verification of data.
·Because of the particular situation of the Jerusalem Governorate, especially area J1, those parts of Jerusalem, which were annexed by the Israeli occupation in 1967, a different methodology for data collection was adopted, where the paper questionnaire was used, and the editors edited the questionnaire formally and technically according to the pre-prepared edit rules.
·A program for field visits was prepared for on-site follow-up of fieldwork and to assess the key problems to solve them. The visits also reviewed how data were entered on the applications and teams' compliance with the instructions they received during the training to ensure good progress.
Data Collection Notes
The personal interview technique was used to collect the survey's data for households and individuals. Tablets were used to collect data in both the West Bank and Gaza Strip, except for Jerusalem J1. The applications were designed to match the questionnaire of the survey and were supported with logical checks and warning messages for logical data and consistency of the data. While the data were collected in Jerusalem J1 through the traditional paper questionnaire, data were entered into computers at PCBS. The same application was used for the tablets.
The data collection process in the West Bank was initiated on 19/03/2019 and was finished on 16/05/2019. In Gaza Strip, the process was initiated on 13/03/2019 and was finished on 20/05/2019.
The data collection process in the West Bank was initiated on 19/03/2019 and was finished on 16/05/2019. In Gaza Strip, the process was initiated on 13/03/2019 and was finished on 20/05/2019.
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Palestinian Central Bureau of Statistics | PCBS | Palestinian National Authority |
Questionnaires
Questionnaires
International recommendations and standards in the area of violence statistics were viewed during the first stages of developing the questionnaire. The experiences of other countries in conducting such surveys were also reviewed while taking into consideration special Palestinian specificities while applying this survey. The questionnaire was designed with reliance on PCBS second experience in conducting a violence survey during 2011.
The questionnaire for the Violence Survey, 2019 was developed in cooperation with our partners in the National Advisory Committee for the Violence Survey and with the help of several experts. Many observations provided by experienced persons were applied reflecting a purely Palestinian experience. The importance of the survey was also stemmed from the urgent need of the local community for the indicators it provides.
The questionnaire consists of eight main sections as follows:
· Identification data and Quality Control: It was asked to any member of a household aged 18 years or more. This section covered all household members in the sample without exception.
· Housing Conditions: It was asked to any member of the household aged 18 years or more to identify the conditions of the household's, financial conditions, income, financial needs, and spending capabilities.
· Currently married or ever married women aged (14-64 years): This section was asked to any woman who is currently married (at the time of the interview) or has been married in the past by selecting one woman from the household (should there be several women) by using the Kish Selection Method. If there was more than one disabled woman in the households, women with disability have completed separate questionnaires and were registered separately.
· Currently married or ever married men aged (18-64 years): This section was asked to any man who is currently married (at the time of the interview) or has been married in the past by selecting one man from the households (should there be several men) by using the Kish Selection Method. If there was more than one man with a disability in the households belonging to this group, men with disability have completed separate questionnaires and were registered separately.
· Individuals aged (18-64 years) who have never been married: This section targets any individual who had never been married, male or female, by selecting him or her from the households. If there was more than one individual belonging to this group, the Kish Selection Method was used to select the sample as in the above-mentioned method. If there was more than one individual (male or female) with a disability, each has completed a separate questionnaire, and they were all registered.
· Children aged (0-11 years): A male or female child was selected from households. Questions concerning this age group were answered by women who are currently married or have been married in the past and who are the mothers or caregivers of those children. This section included children with disability.
· Children aged (12-17 years): This section targets children directly whether they were males or females. If there was more than one child of this age group in the households, the Kish Selection Method was used to select a child by using the same above-mentioned methodology to select the sample. If there was more than one child with a disability (whether male or female), each was provided with a separate questionnaire and they were all registered.
· Elderly persons aged (65 years and above): This section was assigned especially to the elderly, whether males or females. If there was more than one elderly person in the households aged (65 years and above), all of them were interviewed.
The questionnaire for the Violence Survey, 2019 was developed in cooperation with our partners in the National Advisory Committee for the Violence Survey and with the help of several experts. Many observations provided by experienced persons were applied reflecting a purely Palestinian experience. The importance of the survey was also stemmed from the urgent need of the local community for the indicators it provides.
The questionnaire consists of eight main sections as follows:
· Identification data and Quality Control: It was asked to any member of a household aged 18 years or more. This section covered all household members in the sample without exception.
· Housing Conditions: It was asked to any member of the household aged 18 years or more to identify the conditions of the household's, financial conditions, income, financial needs, and spending capabilities.
· Currently married or ever married women aged (14-64 years): This section was asked to any woman who is currently married (at the time of the interview) or has been married in the past by selecting one woman from the household (should there be several women) by using the Kish Selection Method. If there was more than one disabled woman in the households, women with disability have completed separate questionnaires and were registered separately.
· Currently married or ever married men aged (18-64 years): This section was asked to any man who is currently married (at the time of the interview) or has been married in the past by selecting one man from the households (should there be several men) by using the Kish Selection Method. If there was more than one man with a disability in the households belonging to this group, men with disability have completed separate questionnaires and were registered separately.
· Individuals aged (18-64 years) who have never been married: This section targets any individual who had never been married, male or female, by selecting him or her from the households. If there was more than one individual belonging to this group, the Kish Selection Method was used to select the sample as in the above-mentioned method. If there was more than one individual (male or female) with a disability, each has completed a separate questionnaire, and they were all registered.
· Children aged (0-11 years): A male or female child was selected from households. Questions concerning this age group were answered by women who are currently married or have been married in the past and who are the mothers or caregivers of those children. This section included children with disability.
· Children aged (12-17 years): This section targets children directly whether they were males or females. If there was more than one child of this age group in the households, the Kish Selection Method was used to select a child by using the same above-mentioned methodology to select the sample. If there was more than one child with a disability (whether male or female), each was provided with a separate questionnaire and they were all registered.
· Elderly persons aged (65 years and above): This section was assigned especially to the elderly, whether males or females. If there was more than one elderly person in the households aged (65 years and above), all of them were interviewed.
Data Processing
Data Editing
Data Cleaning
1. Concurrently with the data collection process, a weekly check of the data entered was carried out centrally and returned to the field for modification during the data collection phase and follow-up. The work was carried out at a thoroughly examination of the questions and variables to ensure that all required items are included, and the check of shifts, stops, and the range was done, too.
2. Data processing was conducted after the fieldwork stage, where it was limited to conducting the final inspection and cleaning of the survey databases. Data cleaning and editing stage focused on:
· Editing skips and values allowed.
· Checking the consistency between different the questions of questionnaire based on logical relationships.
· Checking on the basis of relations between certain questions so that a list of non-identical cases was extracted, and reviewed toward identifying the source of the error case by case, where such errors were immediately modified and corrected based on the source of the error after confirming and returning to the field in cases where it is needed.
3. The SPSS program was used to extract and modify errors and discrepancies, and to prepare clean and accurate data ready for scheduling and publishing.
1. Concurrently with the data collection process, a weekly check of the data entered was carried out centrally and returned to the field for modification during the data collection phase and follow-up. The work was carried out at a thoroughly examination of the questions and variables to ensure that all required items are included, and the check of shifts, stops, and the range was done, too.
2. Data processing was conducted after the fieldwork stage, where it was limited to conducting the final inspection and cleaning of the survey databases. Data cleaning and editing stage focused on:
· Editing skips and values allowed.
· Checking the consistency between different the questions of questionnaire based on logical relationships.
· Checking on the basis of relations between certain questions so that a list of non-identical cases was extracted, and reviewed toward identifying the source of the error case by case, where such errors were immediately modified and corrected based on the source of the error after confirming and returning to the field in cases where it is needed.
3. The SPSS program was used to extract and modify errors and discrepancies, and to prepare clean and accurate data ready for scheduling and publishing.
Data Appraisal
Estimates of Sampling Error
Sampling Errors
Data of this survey were affected by sampling errors, which resulted from a partial (sample) study of the society as opposed to all units of the society. Whereas the Violence Survey in the Palestinian Society, 2019 was conducted on a sample, sampling errors were inevitable. To reduce sampling errors, a probability sample suitably designed to calculate errors had to be used continuously. This implied that each unit in society had an opportunity to be selected in the sample. Variance and the effect of the sample design were calculated for the main indices at the level of Palestine, the West Bank, and Gaza Strip.
Data of this survey were affected by sampling errors, which resulted from a partial (sample) study of the society as opposed to all units of the society. Whereas the Violence Survey in the Palestinian Society, 2019 was conducted on a sample, sampling errors were inevitable. To reduce sampling errors, a probability sample suitably designed to calculate errors had to be used continuously. This implied that each unit in society had an opportunity to be selected in the sample. Variance and the effect of the sample design were calculated for the main indices at the level of Palestine, the West Bank, and Gaza Strip.
Data Appraisal
The violence survey data in the Palestinian community was evaluated by presenting it to the survey advisor for a logical review and the quality of the data, and to some of the specialists on the subject of violence who praised the quality of the data. In addition to comparing the results with the results of some regional and global studies. In general, all stages of examination and follow-up demonstrated high accuracy and data quality
Non-Sampling Errors
Non-Sampling errors are possible at all stages of the project, during data collection or processing. These are referred to as non-response errors, response errors, interviewing errors, and data entry errors. To avoid errors and reduce their effects, strenuous efforts were made to train the fieldworkers intensively. They were trained on how to carry out the interview, what to discuss, and what to avoid, as well as practical and theoretical training during the training course. Non-sampling errors in the survey resulted from the private data collected and some households and were considered as interference in the very details of their private life, where they refused to cooperate with data. Several methods were used to convince households to provide answers and minimize non-response.
Non-Sampling Errors
Non-Sampling errors are possible at all stages of the project, during data collection or processing. These are referred to as non-response errors, response errors, interviewing errors, and data entry errors. To avoid errors and reduce their effects, strenuous efforts were made to train the fieldworkers intensively. They were trained on how to carry out the interview, what to discuss, and what to avoid, as well as practical and theoretical training during the training course. Non-sampling errors in the survey resulted from the private data collected and some households and were considered as interference in the very details of their private life, where they refused to cooperate with data. Several methods were used to convince households to provide answers and minimize non-response.
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Division of user services | Palestinian Central Bureau of Statistics | Dus@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, Violence Survey in the Palestinian Society, 2019 Version 1.0 (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, 2019.
Metadata production
DDI Document ID
DDI-PSE-PCBS-DVS-2019-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
2020-06-03
DDI Document version
V1.0