Rule of Law 2015
West Bank and Gaza, 2015
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Reference ID
PSE-PCBS-ROL-2015-V1.0
Producer(s)
Palestinian Central Bureau of Statistics
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Created on
Mar 27, 2022
Last modified
Mar 27, 2022
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Identification
Survey ID Number
PSE-PCBS-ROL-2015-V1.0
Title
Rule of Law 2015
Translated Title
مسح سيادة القانون والوصول الى العدالة 2015
Country
| Name | Country code |
|---|---|
| Palestine | PSE |
Study type
Other Household Survey [hh/oth]
Series Information
The rule of law and access to justice survey 2015 is one of the pioneering activities carried out by the Palestinian Central Bureau of Statistics (PCBS). Since the main task of PCBS is to collect data on the conditions of the society, the needs of users of statistical data, as well as the provision of data on indicators of sustainable development, particularly related to the Goal No. 16. This survey was implemented in cooperation between PCBS and the United Nations Development Program (UNDP) and the Palestinian Center for the Independence of the Judiciary and the Legal Profession (MUSAWA).
The indicators for the rule of law and access to justice survey 2015 have to do with the evaluation of the services of the justice sector in all its aspects and institutions in terms of the quality of service, the time required to obtain it, the degree of satisfaction and trust, as well as the mechanisms expected of citizens towards their development. In addition to experts directions (Judges, lawyers, prosecutors, Law academicians and students) and their perceptions of the services and performance of the Palestinian justice sector. In turn, those indicators provide the basic database required for all relevant parties to review mechanisms and develop general performance.
This is the first time that the survey has been carried out
The indicators for the rule of law and access to justice survey 2015 have to do with the evaluation of the services of the justice sector in all its aspects and institutions in terms of the quality of service, the time required to obtain it, the degree of satisfaction and trust, as well as the mechanisms expected of citizens towards their development. In addition to experts directions (Judges, lawyers, prosecutors, Law academicians and students) and their perceptions of the services and performance of the Palestinian justice sector. In turn, those indicators provide the basic database required for all relevant parties to review mechanisms and develop general performance.
This is the first time that the survey has been carried out
Abstract
The field work started on 05/08/2015 until 07/09/2015. Field work teams were distributed to all districts in proportion to the sample size of each governorate. The field work team consisted of 90 members, including 15 supervisors, and 75 interviewers.
The survey sample consisted of 8,000 households, of which 6,823 households completed the interview: 4,535 households from the West Bank and 2,288 households in the Gaza Strip. Weights were modified to account or the non-response rate
This is the first time that the survey has been carried out
The rule of law and access to justice survey 2015 is one of the pioneering activities carried out by the Palestinian Central Bureau of Statistics (PCBS). Since the main task of PCBS is to collect data on the conditions of the society, the needs of users of statistical data, as well as the provision of data on indicators of sustainable development, particularly related to the Goal No. 16. This survey was implemented in cooperation between PCBS and the United Nations Development Program (UNDP) and the Palestinian Center for the Independence of the Judiciary and the Legal Profession (MUSAWA).
The survey sample consisted of 8,000 households, of which 6,823 households completed the interview: 4,535 households from the West Bank and 2,288 households in the Gaza Strip. Weights were modified to account or the non-response rate
This is the first time that the survey has been carried out
The rule of law and access to justice survey 2015 is one of the pioneering activities carried out by the Palestinian Central Bureau of Statistics (PCBS). Since the main task of PCBS is to collect data on the conditions of the society, the needs of users of statistical data, as well as the provision of data on indicators of sustainable development, particularly related to the Goal No. 16. This survey was implemented in cooperation between PCBS and the United Nations Development Program (UNDP) and the Palestinian Center for the Independence of the Judiciary and the Legal Profession (MUSAWA).
Kind of Data
Sample survey data [ssd]
Unit of Analysis
individuals within the age group of 18 years old and over
Version
Version Description
V1.0: version (datasets for public use)
Version Date
2016-04-15
Scope
Notes
Social data which include, relationship with the head of household, sex, age, education, labor, marital status and monthly income.
covers the relationship with institutions of justice and security sectors.
covers the satisfaction with institutions of the justice and security sectors.
covers the trust in the justice sector.
covers the relationship with institutions of justice and security sectors.
covers the satisfaction with institutions of the justice and security sectors.
covers the trust in the justice sector.
Topics
| Topic | Vocabulary | URI |
|---|---|---|
| government, political systems and organisations [4.4] | CESSDA | Link |
Keywords
| Keyword | Vocabulary | URI |
|---|---|---|
| Governance | Concepts and Indicators database | Link |
Coverage
Universe
All Palestinian individuals within the age group of 18 years old and over, who lives with their households in Palestine, at the time of conducting the survey
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Palestinian Central Bureau of Statistics | State of Palestine |
Producers
| Name | Affiliation | Role |
|---|---|---|
| SAWASYA | the United Nations Development Programme , the United Nations Women , The United Nations Children's Fund , Palestinian Center for the Independence of the Judiciary and the Legal Profession | Financing the survey |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| SAWASYA | UNDP, UNWOMEN , UNICEF, MUSAWAH | Financing the survey |
Other Identifications/Acknowledgments
| Name | Affiliation | Role |
|---|---|---|
| SAWASYA | UNDP, UNWOMEN , UNICEF, MUSAWAH | Financing the survey |
Sampling
Sampling Procedure
Sample Size:
The sampling frame is a list of enumeration areas (EAs) from 2007 census, EA is a geographic region consists of buildings having housing units with an average of 124 households, EAs was considered as primary sampling units ( PSUs) in the survey design.
Sample Size:
The estimated sample size was 8000 households.
Sample Design:
Three stages stratified cluster systematic random sample:
The first stage: Selecting 320 EAs by systematic random sampling method.
The second stage: Selecting 25 households randomly- by systematic sampling- from each EA selected in the first stage.
The third stage: Selecting one male or female from each household in the second stage having 18 years old and over members using Kish table.
Sample design strata:
Population is divided into the following strata:
1- Governorate: (16 governorates in West Bank and Gaza Strip).
2- Locality type: (Rural, Urban, Camp).
The sampling frame is a list of enumeration areas (EAs) from 2007 census, EA is a geographic region consists of buildings having housing units with an average of 124 households, EAs was considered as primary sampling units ( PSUs) in the survey design.
Sample Size:
The estimated sample size was 8000 households.
Sample Design:
Three stages stratified cluster systematic random sample:
The first stage: Selecting 320 EAs by systematic random sampling method.
The second stage: Selecting 25 households randomly- by systematic sampling- from each EA selected in the first stage.
The third stage: Selecting one male or female from each household in the second stage having 18 years old and over members using Kish table.
Sample design strata:
Population is divided into the following strata:
1- Governorate: (16 governorates in West Bank and Gaza Strip).
2- Locality type: (Rural, Urban, Camp).
Response Rate
The survey sample consisted of 8,000 households, of which 6,823 households completed the interview: 4,535 households from the West Bank and 2,288 households in the Gaza Strip. Weights were modified to account or the non-response rate.
Weighting
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 a three-stage stratified cluster sample. In the first stage we calculate the weight of enumeration areas based on the probability of each enumeration area (systematic random sample). In the second stage we calculate 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 product the initial weight and the adjustment factor. Hence, the final household weights were obtained after adjustment of the initial weights with the household estimates for middle of 2015 according to design strata (governorate, locality type).
Weights for household members were calculated as follows:
1- adding the household weights for each person per household, known as the primary weight of person.
2- adjusting the primary person weights in relation to the estimated number of population in the middle of June 2015 by the following adjustment levels: (region (West Bank, Gaza Strip), gender (male, female), 18 years and more age groups).
3- Finally, we obtain the final person weight in each adjustment level which the person belongs to.
Weights for household members were calculated as follows:
1- adding the household weights for each person per household, known as the primary weight of person.
2- adjusting the primary person weights in relation to the estimated number of population in the middle of June 2015 by the following adjustment levels: (region (West Bank, Gaza Strip), gender (male, female), 18 years and more age groups).
3- Finally, we obtain the final person weight in each adjustment level which the person belongs to.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2015-08-05 | 2015-09-07 |
Time periods
| Start date | End date |
|---|---|
| 2015-08-05 | 2015-09-07 |
Data Collection Mode
Face-to-face [f2f]
Supervision
Non-statistical errors, on the other hand, could not be determined easily, due to the diversity of sources from which they may arise, e.g., the interviewer, respondent, editor, coder, and data entry operator.
However, several measures were adopted to minimize the effects of non-statistical errors on the data. To avoid errors and reducing their effects, the interviewers, editors, and coders have exercised intensive training course, and were provided with fieldwork manuals to resort to, when facing any problem.
To have a fair idea on the situation and limiting obstacles, there has been continuous contact with supervisors and editors through regular visits to the regional offices and regular meetings. Also problems faced by interviewers have been discussed to clarify any issues they have faced.
Also data entry staff were trained on an entry program that was examined for the questionnaires received during the training, The data entry program was programmed in a way that allows error detection and correction, particularly logical errors that might not be discovered before data entry. Consistency check was applied to assure accuracy after data entry.
However, several measures were adopted to minimize the effects of non-statistical errors on the data. To avoid errors and reducing their effects, the interviewers, editors, and coders have exercised intensive training course, and were provided with fieldwork manuals to resort to, when facing any problem.
To have a fair idea on the situation and limiting obstacles, there has been continuous contact with supervisors and editors through regular visits to the regional offices and regular meetings. Also problems faced by interviewers have been discussed to clarify any issues they have faced.
Also data entry staff were trained on an entry program that was examined for the questionnaires received during the training, The data entry program was programmed in a way that allows error detection and correction, particularly logical errors that might not be discovered before data entry. Consistency check was applied to assure accuracy after data entry.
Data Collection Notes
The field work started on 05/08/2015 until 07/09/2015. Field work teams were distributed to all districts in proportion to the sample size of each governorate. The field work team consisted of 90 members, including 15 supervisors, and 75 interviewers.
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Palestinian Central Bureau of Statistics | PCBS | State of Palestine |
Questionnaires
Questionnaires
The questionnaire is the key tool for data collection. It must be in line with the technical terms of reference of fieldwork to allow for data processing and analysis A special questionnaire was designed in coordination with UNDP, where the questionnaire covers the following fields:
· Section One: Social data which include, relationship with the head of household, sex, age, education, labor, marital status and monthly income.
· Section Two: covers the relationship with institutions of justice and security sectors.
· Section Three: covers the satisfaction with institutions of the justice and security sectors.
· Section Four: covers the trust in the justice sector.
· Section One: Social data which include, relationship with the head of household, sex, age, education, labor, marital status and monthly income.
· Section Two: covers the relationship with institutions of justice and security sectors.
· Section Three: covers the satisfaction with institutions of the justice and security sectors.
· Section Four: covers the trust in the justice sector.
Data Processing
Data Editing
During the different phases of the work several measures have been taken to ensure quality control, such as:
·The data entry program was examined before starting the data entry process,
·There was a continuous contact with the field workers through field visits,
·Regular meetings were held with the field team during field visits,
·And an appropriate solutions were put when further clarifications were needed.
·The data entry program was examined before starting the data entry process,
·There was a continuous contact with the field workers through field visits,
·Regular meetings were held with the field team during field visits,
·And an appropriate solutions were put when further clarifications were needed.
Data Appraisal
Estimates of Sampling Error
Sampling rather than comprehensive enumeration has been used to collect data in this survey. Therefore, it is liable to two types of errors affecting the quality of survey data, sampling (statistical errors) and non-sampling errors (non-statistical errors). Statistical errors mean the errors resulting from sample designing and this is computed simply. Variance and effect of sample design has been computed for the Palestinian Territory, the West Bank and Gaza Strip.
Data Appraisal
Non-statistical errors, on the other hand, could not be determined easily, due to the diversity of sources from which they may arise, e.g., the interviewer, respondent, editor, coder, and data entry operator.
However, several measures were adopted to minimize the effects of non-statistical errors on the data. To avoid errors and reducing their effects, the interviewers, editors, and coders have exercised intensive training course, and were provided with fieldwork manuals to resort to, when facing any problem.
To have a fair idea on the situation and limiting obstacles, there has been continuous contact with supervisors and editors through regular visits to the regional offices and regular meetings. Also problems faced by interviewers have been discussed to clarify any issues they have faced.
Also data entry staff were trained on an entry program that was examined for the questionnaires received during the training, The data entry program was programmed in a way that allows error detection and correction, particularly logical errors that might not be discovered before data entry. Consistency check was applied to assure accuracy after data entry.
However, several measures were adopted to minimize the effects of non-statistical errors on the data. To avoid errors and reducing their effects, the interviewers, editors, and coders have exercised intensive training course, and were provided with fieldwork manuals to resort to, when facing any problem.
To have a fair idea on the situation and limiting obstacles, there has been continuous contact with supervisors and editors through regular visits to the regional offices and regular meetings. Also problems faced by interviewers have been discussed to clarify any issues they have faced.
Also data entry staff were trained on an entry program that was examined for the questionnaires received during the training, The data entry program was programmed in a way that allows error detection and correction, particularly logical errors that might not be discovered before data entry. Consistency check was applied to assure accuracy after data entry.
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Division of user services | Palestinian Central Bureau of Statistics | Dus@pcbs.gov.ps | www.pcbs.gov.ps |
| Diwan | 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.
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, Rule of Law Survey-2015 Version 1.0 (2016). 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, 2015
Metadata production
DDI Document ID
DDI-PSE-PCBS-ROL-2015-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
2022-02-16
DDI Document version
V1.0