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Gauteng City-Region Observatory Quality of Life Survey 2011

South Africa, 2011
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Reference ID
ZAF_2011_GCROQOLS_v01_M
Producer(s)
Gauteng City-Region Observatory
Metadata
DDI/XML JSON
Created on
Mar 24, 2013
Last modified
Mar 29, 2019
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  • Study Description
  • Data Dictionary
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  • Identification
  • Version
  • Scope
  • Coverage
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  • Sampling
  • Survey instrument
  • Data collection
  • Data appraisal
  • Data Access
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  • Identification

    Survey ID number

    ZAF_2011_GCROQOLS_v01_M

    Title

    Gauteng City-Region Observatory Quality of Life Survey 2011

    Country
    Name Country code
    South Africa zaf
    Study type

    Other Household Survey [hh/oth]

    Abstract

    The Gauteng-City Region Observatory (GCRO) commissioned Data World to conduct its Second Quality of Life Survey, with surveys being conducted in second half of 2011.

    The Gauteng City-Region Observatory (GCRO) was established in 2008 as a partnership between the University of Johannesburg (UJ), the University of the Witwatersrand, Johannesburg (Wits) and the Gauteng Provincial Government (GPG), with local government in Gauteng also represented. The objective of the GCRO is to inform and assist the various spheres of the Gauteng government in building and maintaining the province as an integrated and globally competitive region.

    The Second Quality of Life Survey must comprehensively represent the whole of Gauteng, which consists of 10 municipalities, which in turn covers 508 wards. Data World was contracted to undertake 15000 surveys across this sphere. Among the main aims of the Quality of Life Survey, is to inform the GCRO as well as provincial government and other relevant parties with regards to the perceived states of the municipalities within Gauteng, with focus on the quality of the lives of people who live within these municipalities.

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis

    The units of analysis in theGauteng City-Region Observatory (GCRO) Quality of Life Survey are households and individuals

    Version

    Version Description

    v1: Edited, anonymised dataset available for use in DataFirst's research data centre.

    Version Date

    2012

    Scope

    Notes

    The Gauteng City-Region Observatory Quality of Life Survey 2011 collected data on demographic details of the enumerated population (population group, gender, age, language) and on housing (dwelling type, tenure, satisfaction with dwelling, perceived quality of housing and housing allocation) as well as household services (water, sanitation, refuse, energy sources). Data was also collected on migration, health (including disability), education and employment (including employment sector). Data on community services and amenities was also collected, and on transport, leisure activities and safety and crime. Financial data was collected (including on debts, income, and social grants) and data on household assets. Data on public participation and governance was also collected during the survey. Finally, the survey collected data on the perceived personal wellbeing and quality of life of respondents.

    Topics
    Topic Vocabulary URI
    economic conditions and indicators [1.2] CESSDA http://www.nesstar.org/rdf/common
    income, property and investment/saving [1.5] CESSDA http://www.nesstar.org/rdf/common
    employment [3.1] CESSDA http://www.nesstar.org/rdf/common
    unemployment [3.5] CESSDA http://www.nesstar.org/rdf/common
    domestic political issues [4.2] CESSDA http://www.nesstar.org/rdf/common
    elections [4.3] CESSDA http://www.nesstar.org/rdf/common
    government, political systems and organisations [4.4] CESSDA http://www.nesstar.org/rdf/common
    crime [5.1] CESSDA http://www.nesstar.org/rdf/common
    basic skills education [6.1] CESSDA http://www.nesstar.org/rdf/common
    compulsory and pre-school education [6.2] CESSDA http://www.nesstar.org/rdf/common
    vocational education [6.7] CESSDA http://www.nesstar.org/rdf/common
    general health [8.4] CESSDA http://www.nesstar.org/rdf/common
    health care and medical treatment [8.5] CESSDA http://www.nesstar.org/rdf/common
    specific diseases and medical conditions [8.9] CESSDA http://www.nesstar.org/rdf/common
    housing [10.1] CESSDA http://www.nesstar.org/rdf/common
    TRANSPORT, TRAVEL AND MOBILITY [11] CESSDA http://www.nesstar.org/rdf/common
    family life and marriage [12.5] CESSDA http://www.nesstar.org/rdf/common
    community, urban and rural life [13.1] CESSDA http://www.nesstar.org/rdf/common
    cultural activities and participation [13.2] CESSDA http://www.nesstar.org/rdf/common
    social conditions and indicators [13.8] CESSDA http://www.nesstar.org/rdf/common
    migration [14.3] CESSDA http://www.nesstar.org/rdf/common
    specific social services: use and provision [15.3] CESSDA http://www.nesstar.org/rdf/common

    Coverage

    Geographic Coverage

    The Gauteng City-Region Observatory Quality of Life Survey 2011 covers the whole of Gauteng and also areas with GCR 'footprints' in the four neighbouring provinces of Free State, North West, Limpopo and Mpumalanga.

    Geographic Unit

    The lowest level of geographic aggregation in the Gauteng City-Region Observatory Quality of Life Survey 2009 is municipality

    Universe

    The Gauteng City-Region Observatory Quality of Life Survey 2009 covered all household residents of Gauteng and selected areas of the four neighbouring provinces of Free State, North West, Limpopo and Mpumalanga.

    Producers and sponsors

    Primary investigators
    Name Affiliation
    Gauteng City-Region Observatory University of Johannesburg
    Funding Agency/Sponsor
    Name Role
    Gauteng Provincial Government Funder

    Sampling

    Sampling Procedure

    For the purpose of this study, multi-stage cluster sampling was used as no sampling frame containing all members in the universe or population exists. The sample was drawn in stages, with wards being selected at the first stage, dwelling
    units within the wards being selected in the second stage and respondents selected at the third stage.

    Phase 1
    The wards formed the primary sampling units (PSUs). A random starting point(s) was used as a method to select the dwelling units to be surveyed. A total number of 602 wards in 4 provinces (Gauteng 448 wards), (Mpumalanga 72 wards), (North-West 70 wards) and (Free State 12 wards) were completed. A total of 6639 interviews were completed in these wards.

    Phase 2
    During the second phase, the field teams were required to complete a certain number of interviews, depending on the population size of that particular ward. The teams had to complete for an example in ward X 3 interviews and in ward Y they had to complete 33 interviews. This meant that the field teams had different target number of interviews that they needed to complete in all the pre-selected wards. Ward maps were obtained before fieldwork commenced, and random starting points were identified, marked and numbered on the map. This allowed for the random selection of one (if more than one existed) starting point. The field managers concerned will firstly identify where the starting point(s) is/are on the ground. Oncethat has been established he/she will from the starting point count 20 households from the starting point moving to his/her left. The 20th household that he/she has selected was the household were the interviews was supposed to take place Thereafter, the next 20th household was selected and approached until the target number of interviews was obtained.

    The following process of household selection was adhered to:
    From the starting point 20 houses were counted in a ward. However, if there were:
    • 1-5 target number of interviews to be completed in a ward; 01 starting point was used;
    • 6-10 target number of interviews to be completed in a ward; 02 starting points were used;
    • 11-15 target number of interviews to be completed in the ward; 03 starting points were used;
    • 16-20 target number of interviews to be completed in the ward; 04 starting points were used;
    • 21-25 target number of interviews to be completed in the ward; 05 starting points were used; and
    • 25 and above target number of interviews to be completed in a ward; 06 starting points were used
    In the case of a household refusal or if a selected respondent was mentally disabled, the household was immediately substituted with the household on the left. If still there was no interview completed then another substitution, going to the right of the originally selected household, was done. In case of non-contact whereby there was no-one home after two visits at two different times (afternoon and evenings) on the same day, the same substitution method was followed. Therefore, at least two-revisits at different times were done in cases where selected dwelling units, households or individuals were not at home i.e. non-contact. However, in some cases households visited after 19:00 on the day were substituted as agreed to in order to ensure that all the target number of households would be completed in the allocated time per ward.

    Phase 3
    For the purpose of this study, one randomly selected household respondent was selected per household. All household members qualified if they met the following criteria:
    • Resident(s) of the household irrespective of nationality but excluding nonresidents and visitors; and
    • 18 years of age or older
    • In the event of a child headed household (all household members are under 18 years old), the oldest child was assumed to be the head of household, and should be interviewed
    If more than one eligible person was found per dwelling unit, the ideal and most practical and accurate method of random selection of an individual was the use of a KISH grid. One individual per household was selected using the KISH grid after a comprehensive listing exercise was completed of all eligible individuals at the dwelling unit. Once the respondent had been selected the fieldworker will follow up only that person per household. If selected, substitutions could not be made where there were refusals or non-contact over a period of a day after two or more re-visits on the same day.

    Survey instrument

    Questionnaires

    The survey instrument (questionnaire) which was used was provided by the GCRO. The instrument was similar to the questionnaire used for the initial Quality of Life survey, with new questions being added only where questions from the previous survey were removed. This was done with the intention of keeping the duration of the survey the same as the initial one. The survey instrument was a 20 page questionnaire, broken up into 12 sections. The bulk of the possible answers were pre-defined, such that most of the survey could be answered using a combination of tick-boxes or by writing down a number answer from a predefined set. To this end there are not many open - ended questions in the survey.

    The survey instrument was reformatted by Data World to ensure optimal flow, as well as to cater for the technology platform which was used to conduct the surveys.

    Data collection

    Dates of Data Collection
    Start End
    2011-08-15 2011-11
    Data Collectors
    Name
    Data World
    Data Collection Notes

    Fieldwork commenced on 15 August 2011. Initially there were 5 teams, consisting of 9 field workers and 1 team leader / supervisor per team. The teams generally were broken up 50:50 in ratio of male and female. The second fieldwork teams began on field on 01 September 2011, these were an additional 10 field workers, who were broken up into 2 teams of 5 each.
    The third fieldwork team began fieldwork on 17 October 2011. These were an additional 50 resources, which were broken up into 10 teams of 5 each.

    A set of “mop-up” teams was assembled by reassigning fieldworkers, as the major work began tapering off, to revisit wards and make up shortfalls in the number of required surveys as best as possible. The first mop-up teams (10 field workers) began in October 2011, with another 20 field workers conducting mop-ups from the November 2011.

    The bulk of the fieldwork was complete by the end of November 2011, with a few wards being visited in early December as initial visits, and mopping up going on until 15 December 2011.

    Data appraisal

    Data Appraisal

    The survey company, Data Research Africa, utilised a range of quality control measures during fieldwork for the survey. In the field, fieldworkers checked completed questionnaire schedules immediately after interviews to ensure that all questions were answered and relevant skips were followed. The checked questionnaires were then handed to field or office managers who, whilst in field, performed a second quality check on each questionnaire. They focused on skip patterns, as well as on ensuring that answers corresponded with previous responses and followed a logical process.

    Data Access

    Access authority
    Name Affiliation URL Email
    DataFirst University of Cape Town http://www.datafirst.uct.ac.za info@data1st.org
    Access conditions

    The dataset from the Gauteng City-Region Observatory Quality of Life Survey 2011 is available for use in the DataFirst research data centre at the University of Cape Town.

    Citation requirements

    Gauteng City-Region Observatory. GCRO Quality of Life Survey, 2011.[dataset]. Version 1. Johannesburg: Gauteng City-Region Observatory[producer], 2012. Cape Town: DataFirst [distributor], 2011.

    Disclaimer and copyrights

    Disclaimer

    The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.

    Copyright

    Copyright 2012, Gauteng City-Region Observatory (GCRO)

    Contacts

    Contacts
    Name Affiliation Email URL
    DataFirst Helpdesk University of Cape Town support@data1st.org http://support.data1st.org/

    Metadata production

    DDI Document ID

    DDI_ZAF_2011_GCROQOLS_v01_M

    Producers
    Name Affiliation Role
    DataFirst University of Cape Town Metadata Producer
    Date of Metadata Production

    2012-10-15

    Metadata version

    DDI Document version

    Version 1

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