{"doc_desc":{"title":"National Information and Communication Technology Survey 2010","idno":"KEN-KNBS-NICTS-2010-v01","producers":[{"name":"Kenya National Bureau of statistics","abbreviation":"KNBS","affiliation":"Ministry of Planning, National Development and Vision 2030","role":"Implementing Agency"}]},"study_desc":{"title_statement":{"idno":"KNE-KNBS-NICTS-2010-v01","title":"National Information and Communication Technology Survey 2010"},"authoring_entity":[{"name":"Kenya National Bureau of Statistics","affiliation":""}],"production_statement":{"funding_agencies":[{"name":"Communication Commission of Kenya","abbreviation":"CCK","role":"Funding Paritner"}]},"distribution_statement":{"contact":[{"name":"Director General of KNBS","affiliation":"","email":"","uri":""}]},"series_statement":{"series_name":"Sample Frame, Households [sf\/hh]"},"version_statement":{"version":"v01"},"study_info":{"abstract":"In researching ICT penetration rates of a country, it is necessary to look at the target population demographic characteristics that facilitate use, access and ownership of the ICT facilities and equipments. As such, the ICT survey sought information on the general characteristics of the sampled population, including composition by age and sex, household size, education, employment, literacy, disability and source of electricity to households.","coll_dates":[{"start":"2010","end":"","cycle":""}],"nation":[{"name":"Kenya","abbreviation":"KEN"}],"geog_coverage":"Kenya","analysis_unit":"District","universe":"Kenya","data_kind":"Sample survey data [ssd]","notes":"The survey was distributed into four domains, namely:\n1. National,\n2. Major Urban areas,\n3. Other Urban areas, and\n4. Rural areas."},"method":{"data_collection":{"time_method":"Not time bound","sampling_procedure":"Stratified Sample methodology","coll_mode":"Face-to-face [f2f]","weight":"Weights were developed to account for the selection probabilities using the NASSEP IV sampling frame","cleaning_operations":"As a matter of procedure initial manual editing was done in the field by the RAs. The supervisors further checked the questionnaires and validated the data in the field by randomly sampling 20 per cent of the filled questionnaires. After the questionnaires were received from the field, an office editing team was constituted to do office editing.\n\nData was captured using Census and Survey Processing System (CSPRO) version 4.0 through a data entry screen specially created with checks to ensure accuracy during data entry. All questionnaires were double entered to ensure data quality. Erroneous entries and potential outliers were then verified and corrected appropriately. A total of 20 data entry personnel were engaged during the exercise.\n\nThe captured data were exported to Statistical Package for Social Sciences (SPSS) for cleaning and analysis. The cleaned data was weighted before final analysis. The weighting of the data involved application of inflation factors derived from the selection probabilities of the EAs and households detailed in section 2.2.7, on weighting the Sample Data."},"analysis_info":{"response_rate":"Owing to the some logistical challenges the following clusters were partially or not covered at all:\n\u2022 One cluster in Tana River due to floods.\n\u2022 Two clusters in Molo where households shifted to safer areas after the Post Election Violence (PEV). As a result, fewer than the expected households were covered.\n\u2022 One cluster in Koibatek was covered halfway due to relocation of households to pave way for a large plantation."}}}}