Household Survey on Information and Communications Technology 2014
West Bank and Gaza, 2014
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WBG_2014_ICTH_v01_M
Household Survey on Information and Communications Technology 2014
| Name | Country code |
|---|---|
| West Bank and Gaza | WBG |
Sample Frame, Households [sf/hh]
This project is being implemented for the seventh time and recurs every two years since 2000.
Within the frame of PCBS' efforts in providing official Palestinian statistics in the different life aspects of Palestinian society and because the wide spread of Computer, Internet and Mobile Phone among the Palestinian people, and the important role they may play in spreading knowledge and culture and contribution in formulating the public opinion, PCBS conducted the Household Survey on Information and Communications Technology, 2014.
The main objective of this survey is to provide statistical data on Information and Communication Technology in the Palestine in addition to providing data on the following:
- Prevalence of computers and access to the Internet.
- Study the penetration and purpose of Technology use.
Sample survey data [ssd]
- Household.
- Persons 10 years and over .
Version
Version 1.0 dataset for public distribution
2015-03-24
Scope
The survey questionnaire consists of identification data, quality controls and three main sections:
- Section I: Data on household members that include identification fields, the characteristics of household members (demographic and social) such as the relationship of individuals to the head of household, sex, date of birth and age.
- Section II: Household data include information regarding computer processing, access to the Internet, and possession of various media and computer equipment. This section includes information on topics related to the use of computer and Internet, as well as supervision by households of their children (5-17 years old) while using the computer and Internet, and protective measures taken by the household in the home.
- Section III: Data on persons (aged 10 years and over) about computer use, access to the Internet and possession of a mobile phone.
| Topic | Vocabulary | URI |
|---|---|---|
| information technology [16.2 | CESSDA | ] http://www.nesstar.org/rdf/common |
Coverage
Palestine (West Bank and Gaza Strip), type of locality (urban, rural, refugee camps) and governorate.
All Palestinian households and individuals whose usual place of residence in Palestine with focus on persons aged 10 years and over in year 2014.
Producers and sponsors
| Name | Affiliation |
|---|---|
| Palestinian Central Bureau of Statistics | Palestinian National Authority |
| Name | Role |
|---|---|
| Core Funding Group | Data Collection/ processing/ printing of Main Finding Report |
| Swiss Agency for Development and Cooperation | Data Collection/ processing/ printing of Main Finding Report |
| Palestinian National Authority | Data Collection/ processing/ printing of Main Finding Report |
| Name | Affiliation | Role |
|---|---|---|
| Swiss Agency for Development and Cooperation | SDC | Data Collection/ processing/ printing of Main Finding Report |
| Palestinian National Authority | PNA | Data Collection/ processing/ printing of Main Finding Report |
Sampling
Sampling Frame
The sampling frame consists of a list of enumeration areas adopted in the Population, Housing and Establishments Census of 2007. Each enumeration area has an average size of about 124 households. These were used in the first phase as Preliminary Sampling Units in the process of selecting the survey sample.
Sample Size
The total sample size of the survey was 7,268 households, of which 6,000 responded.
Sample Design
The sample is a stratified clustered systematic random sample. The design comprised three phases:
Phase I: Random sample of 240 enumeration areas.
Phase II: Selection of 25 households from each enumeration area selected in phase one using systematic random selection.
Phase III: Selection of an individual (10 years or more) in the field from the selected households; KISH TABLES were used to ensure indiscriminate selection.
Sample Strata
Distribution of the sample was stratified by:
1- Governorate (16 governorates, J1).
2- Type of locality (urban, rural and camps).
Response Rates: 79%
Weights were calculated for each sampling unit and reflect the sampling procedures. Adjusted weights are important to reduce the bias resulting from non-responses and also to take account of changes since the Establishments Census 2012 was conducted.
Survey instrument
The survey questionnaire consists of identification data, quality controls and three main sections:
Section I: Data on household members that include identification fields, the characteristics of household members (demographic and social) such as the relationship of individuals to the head of household, sex, date of birth and age.
Section II: Household data include information regarding computer processing, access to the Internet, and possession of various media and computer equipment. This section includes information on topics related to the use of computer and Internet, as well as supervision by households of their children (5-17 years old) while using the computer and Internet, and protective measures taken by the household in the home.
Section III: Data on persons (aged 10 years and over) about computer use, access to the Internet and possession of a mobile phone.
Data collection
| Start | End |
|---|---|
| 2014-05-04 | 2014-06-10 |
| Name | Affiliation |
|---|---|
| Palestinian Central Bureau of Statistics | Palestinian National Authority |
Instructions and Training Manual
The training manual covered all aspects of field work and the filling in of questionnaires. It also covered the tasks of each field worker in interviewing and questionnaire completion. Training manuals were prepared for supervisors and editors to safeguard team training and the success of the project. A training course was held in the West Bank and Gaza Strip simultaneously. Training in the Gaza Strip was conducted via videoconferencing with Ramallah.
More than 80 field workers attended the field work training in accordance with the survey's plan designed by the survey management team. The duration of the training was five consecutive days from 20th April 2014 to 24th April 2014. Each section of the questionnaire was explained and discussed thoroughly, along with practical exercises in class, in the field and home assignments. An evaluation test was conducted to ensure trainees were familiar with all sections of the survey questionnaire.
Main Field Work
The Field Work and Surveys Directorate at PCBS prepared the plan for the survey's field work activities. Preparations relevant to logistics were organized in advance, including field workers and survey tools (questionnaires, sample lists). The organizational structure of the field work was designed according to the requirements and nature of the survey itself. Field workers were assigned to work in their governorate of residence and some small governorates were merged with adjacent large ones to facilitate the management of the survey's field work. Field work activities started on the 4th of May 2014 to the 10th of June 2014.
Data Editing in the Field
The project management defined clear procedures for editing the data and trained a team of editors accordingly. The procedure was as follows:
- Receipt of completed questionnaires on a daily basis.
- Checking each questionnaire to ensure that they had been completed and that the data covered all eligible household members.
- Returning uncompleted questionnaires and those with errors to the field for completion.
Data processing
Preparation of Data Entry Program:
This stage included preparation of the data entry programs using an ACCESS package and defining data entry control rules to avoid errors, plus validation inquiries to examine the data after it had been captured electronically.
Data Entry:
The data entry process started on the 8th of May 2014 and ended on the 23rd of June 2014. The data entry took place at the main PCBS office and in field offices using 28 data clerks.
Editing and Cleaning procedures:
Several measures were taken to avoid non-sampling errors. These included editing of questionnaires before data entry to check field errors, using a data entry application that does not allow mistakes during the process of data entry, and then examining the data by using frequency and cross tables. This ensured that data were error free; cleaning and inspection of the anomalous values were conducted to ensure harmony between the different questions on the questionnaire.
Data appraisal
There are many aspects of the concept of data quality; this includes the initial planning of the survey to the dissemination of the results and how well users understand and use the data. There are three components to the quality of statistics: accuracy, comparability, and quality control procedures.
Checks on data accuracy cover many aspects of the survey and include statistical errors due to the use of a sample, non-statistical errors resulting from field workers or survey tools, and response rates and their effect on estimations. This section includes:
Statistical Errors
Data of this survey may be affected by statistical errors due to the use of a sample and not a complete enumeration. Therefore, certain differences can be expected in comparison with the real values obtained through censuses. Variances were calculated for the most important indicators.
Variance calculations revealed that there is no problem in disseminating results nationally or regionally (the West Bank, Gaza Strip), but some indicators show high variance by governorate, as noted in the tables of the main report.
Non-Statistical Errors
Non-statistical 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 field workers intensively. They were trained on how to carry out the interview, what to discuss and what to avoid, and practical and theoretical training took place during the training course. Training manuals were provided for each section of the questionnaire, along with practical exercises in class and instructions on how to approach respondents to reduce refused cases. Data entry staff were trained on the data entry program, which was tested before starting the data entry process.
Several measures were taken to avoid non-sampling errors. These included editing of questionnaires before data entry to check field errors, using a data entry application that does not allow mistakes during the process of data entry, and then examining the data by using frequency and cross tables. This ensured that data were error free; cleaning and inspection of the anomalous values were conducted to ensure harmony between the different questions on the questionnaire.
The sources of non-statistical errors can be summarized as:
- Some of the households were not at home and could not be interviewed, and some households refused to be interviewed.
- In unique cases, errors occurred due to the way the questions were asked by interviewers and respondents misunderstood some of the questions.
Access policy
Palestinian Central Bureau of Statistics
Palestinian Central Bureau of Statistics
https://www.pcbs.gov.ps/PCBS-Metadata-en-v4.3/index.php/catalog/465
Data Access
| Name | Affiliation | URL | |
|---|---|---|---|
| Palestinian Central Bureau of Statistics | Palestinian National Authority | www.pcbs.gov.ps | diwan@pcbs.gov.ps |
| Is signing of a confidentiality declaration required? | Confidentiality declaration text |
|---|---|
| yes | 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. |
License Agreement for the Use of Micro Data in PCBS items(10,11,12) as following:
-
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 apply to any data duplication or transformed setting for purposes other than meeting the requirements of the statistical programs used in data analysis.
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Utilization of "data" or any copies thereof is limited to personal computers normally .
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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.
Palestinian Central Bureau of Statistics, 2014. Household Survey on Information and Communications Technology, 2014, (03- 2015). v1.0. Ramallah - Palestine
Disclaimer and copyrights
PCBS provides 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.
Palestinian Central Bureau of statistics. PCBS 2015. The reference date of data is 04/05/2014-10/06/2014
Contacts
| Name | Affiliation | |
|---|---|---|
| Palestinian Central Bureau of statistics | Palestinian National Authority | diwan@pcbs.gov.ps |
Metadata production
DDI_WBG_2014_ICTH_v01_M
| Name | Affiliation | Role |
|---|---|---|
| Palestinian Central Bureau of Statisitics | Palestinian National Authority | Production of the DDI |
2021-09-08
Metadata version
Version 01 (September 2021). This version of the DDI is similar to version: DDI-PSE-PCBS-HICT-2014-V1.0, that was produced by the Palestinian Central Bureau of Statistics except for the DDI ID and Study ID fields that were updated.