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RIA

RIA ICT Access Survey 2005-2008

Africa, 2005 - 2008
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Reference ID
zaf-ria-rias-2005-2008-v1
Producer(s)
Research ICT Africa
Collections
Research ICT Africa
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jul 28, 2015
Last modified
May 28, 2020
Page views
366672
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  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Survey instrument
  • Data collection
  • access_policy
  • Contacts
  • Metadata production

    • Identification

    Survey ID number
    zaf-ria-rias-2005-2008-v1
    Title
    RIA ICT Access Survey 2005-2008
    Country
    Name Country code
    Africa afr
    Study type
    Household Survey [hh]
    Series Information
    Research ICT Africa. RIA ICT Access Survey 2005-2008 [dataset]. Version 1. Cape Town: RIA [producer], 2013. Cape Town: DataFirst [distributor], 2015. DOI: https://doi.org/10.25828/vc6k-pb92
    Abstract
    Research ICT Africa (RIA) is a non-profit, public interest, research entity which undertakes research on how information and communication technologies are being accessed and used in African countries. The aim is to measure the impact on lifestyles and livelihoods of people and households and to understand how informal businesses can prosper through the use of ICTs. This research can facilitate informed policy-making for improved access, use and application of ICT for social development and economic growth. RIA collects both supply-side and demand-side data. On the demand-side nationally representative surveys are conducted on ICT use and demand in African countries. This survey dataset consists of data collected by household surveys in seventeen African countries between 2005 and 2008.
    Kind of Data
    Sample survey data
    Unit of Analysis
    Households and individuals

    Version

    Version Description
    v1: Edited, anonymised dataset for public distribution
    Version Date
    2013
    Version Notes
    Version 1 of the dataset was received from Research ICT Africa in July 2015

    Scope

    Notes

    Data collected on households includes: Dwelling type, household expenditure, access to electricity, ownership of goods, data on postal address and bank accounts, access to, use of, and expenditure on internet and landline, as well as household remittances. Data collected on household members includes: Age, sex, relationship to household head, marital status, highest education level, main economic activity, income and other earnings, and mobile phone ownership. A household member was selected at random to provide more detailed data. Data collected on the Randomly Selected Individual includes: Contribution to household expenses, literacy, language, ownership of CD/MP3 player/ipod, social networks, money and banking, use of TV, radio, public phones, work phone, internet, detailed data on mobile phone usage.

    Coverage

    Geographic Coverage
    The surveys has national coverage. Countries included in this survey are as follows: Benin, Botswana, Burkina Faso, Cameroon, Cote d'Ivoire, Ethiopia, Ghana, Kenya, Mozambique, Namibia, Nigeria, Rwanda, Senegal, South Africa, Tanzania, Uganda, and Zambia
    Geographic Unit
    The lowest geographical unit is country
    Universe
    The data is nationally representative on a household and individual level for individuals 16 years of age or older.

    Producers and sponsors

    Primary investigators
    Name
    Research ICT Africa
    Funding Agency/Sponsor
    Name
    International Development Research Centre

    Sampling

    Sampling Procedure
    The random sampling was performed in four steps. The survey was stratified into metropolitan (major urban), other urban and rural areas. Enumerator areas (EAs) were sampled for each stratum using probability proportional to size (PPS). Households within EAs were selected using simple random sampling. One individual from each household was randomly selected from all household members and visitors that stayed at the home on the night the household was visited that were 16 years of age or older (refer to the methodology document for more detail on sampling).
    Weighting
    Two weights were constructed, one for households and one for individuals. The weights are based on the inverse selection probabilities4 of households and individuals respectively and gross up the data to national level when applied (refer to the methodology document for more detail on weighting).

    Survey instrument

    Questionnaires
    The RIA questionnaire was divided into three sections. The first part, the household roster, collected information about all household members. The second part collected household-related information. The head of the household or someone that manages the household answered part one and two. The third part, the individual section, was answered by a randomly selected individual 16 years of age or older who slept in the house the night of the interview, which included household members and visitors.

    Data collection

    Dates of Data Collection
    Start End
    2005 2008

    access_policy

    Access authority
    Name Affiliation URL Email
    DataFirst University of Cape Town support@data1st.org
    Access conditions
    Public use files, available to all
    Citation requirements
    Research ICT Africa. RIA ICT Access Survey 2005-2008 [dataset]. Version 1. Cape Town: RIA [producer], 2013. Cape Town: DataFirst [distributor], 2015. DOI: https://doi.org/10.25828/vc6k-pb92

    Contacts

    Contacts
    Name Email URL
    DataFirst Support support@data1st.org

    Metadata production

    Producers
    Name Affiliation Role
    DataFirst University of Cape Town Metadata producer
    Date of Metadata Production
    2020-05-23

    Metadata version

    DDI Document version
    Version 5
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