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Edited version based on Version 01 DDI (ddi-zaf-datafirst-os-1994-v1) that was done by DataFirst."}},"study_desc":{"title_statement":{"idno":"ZAF_1994_OS_v01_M","title":"Omnibus Survey 1994","alt_title":"OS 1994"},"authoring_entity":[{"name":"Human Sciences Research Council","affiliation":""}],"distribution_statement":{"contact":[{"name":"DataFirst Helpdesk","affiliation":"University of Cape Town","email":"support@data1st.org","uri":"http:\/\/support.data1st.org\/"},{"name":"World Bank Microdata Library","affiliation":"","email":"microdata@worldbank.org","uri":""}]},"series_statement":{"series_name":"Public Opinion Survey [ind\/pos]"},"version_statement":{"version":"Version 01: Edited, anonymised data for licensed distribution","version_date":"1995"},"study_info":{"topics":[{"topic":"social behaviour and attitudes [13.6]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"}],"abstract":"An omnibus survey is done quarterly and its purpose is to give clients an opportunity to participate in a national survey at low cost. A number of clients\u2019 questions are combined into one questionnaire. This questionnaire is usually administered to probability sample of 2220 respondents in the whole country (South Africa). The October 1994 omnibus survey was undertaken over the period 10 October to 28 October 1994. The fieldwork was done on a countrywide basis including all nine provinces.","coll_dates":[{"start":"1994-10-10","end":"1994-10-28","cycle":""}],"nation":[{"name":"South Africa","abbreviation":"ZAF"}],"geog_coverage":"The survey had national coverage, including coverage of the 'homelands\" of Ciskei and Venda.","geog_unit":"The lowest level of geographic aggregation covered by the data is magisterial district","analysis_unit":"Units of analysis in the survey included individuals","universe":"The universe included all household residents 18 years old or older.","data_kind":"Sample survey data [ssd]","notes":"The 1994 Omnibus survey collected demographic data (sex, age, marital status, education, language, income, occupation, population group), as well as data on the following topics: politics, the economy, commuting, AIDS, orphans and affordable care, the environment, prostitution, crime (including juvenile crime), the police services, and companies","study_scope":"The 1994 Omnibus survey collected demographic data (sex, age, marital status, education, language, income, occupation, population group), as well as data on the following topics: politics, the economy, commuting, AIDS, orphans and affordable care, the environment, prostitution, crime (including juvenile crime), the police services, and companies"},"method":{"data_collection":{"data_collectors":[{"name":"MarkData","abbreviation":"","affiliation":"Human Sciences Research Council"}],"sampling_procedure":"The South African population of persons 18 years and older was stratified according to: \nProvince (Western Cape, Eastern Cape, Northern Cape, Orange Free State, Natal\/KwaZulu, Eastern Transvaal, PWV, North Western Province, Northern Transvaal)\nSocio-economic classification:\nRural areas in former self-governing and TBVC states\nSquatter areas in former non-white urban (metro and non- metro areas)\nHostels and hotels\nFormer urban areas for coloureds\nFormer urban areas for a Asians\nFormer urban areas for blacks\nFormer urban (non- metro) areas for whites\nFormer urban (metro) areas for whites\nRural areas, excluding the former self-governing and TBVC states\n\nThe sample allocation to these strata was done roughly proportional to the adjusted 1991 populatio n census figures with a few exceptions, among which was to ensure a minimal provincial total of 120. Multistage stratified cluster (probability) sampling was used to draw the respondents with the adjusted 1991 population census figures as measure of size. Census enumerator areas and similar areas were used as the clusters in the pen-ultimate sampling stage, from which an equal number, viz. one or two by four households were drawn. All clusters were drawn with probability proportional to size, whilst households were drawn from the final clusters with equal probability (systematically). Respondents were drawn at random from qualifying household members. In addition, population of live-in domestic workers was sampled in relation to their residence in already drawn households.","coll_mode":"Face-to-face [f2f]","coll_situation":"MarkData of the Human Sciences Research Council conducted the fieldwork for the survey.\n\nFieldwork area: The fieldwork was done on a countrywide basis, including all nine provinces.\n\nFieldwork period: Fieldwork was conducted from 10 to 28 October 1994. During this period the interviewers were trained by the fieldwork organisers, the interviews were conducted and the completed questionnaires were collected and checked.\n\nMethod of data collection: The data was collected by interviewers specifically trained in personal interviewing. The respondents were scientifically selected and interviewed at home.\n\nThe interviews were often conducted after hours to ensure that the scientifically drawn person was present. If the drawn person was not home during the first visit, but was available during the fieldwork period, an appointment was made and the person concerned revisited. If nobody in the household qualified, or was available during the fieldwork period, the household was substituted.\n\nThe questions in the questionnaire were printed in both English and Afrikaans. These were translated by the interviewers into the relevant languages of the black fieldwork areas. Interviews were conducted in the respondent\u2019s choice of language.","weight":"The sample design allocation per population group was not proportional to the population figures as given in the adjusted 1991 census figures as well as updated figures for certain areas such as the former TBVC states. The population total for each region and socioeconomic category was divided by the actual realisation in the particular cell. The figure derived is the pre-weight that was used. The data was weighted for the age group 18 years and older, in other words, the population that qualified as respondents.\n\nThe aim of the factor weighting was to correct the disproportions which were incorporated in the sample design (minimum number of 120 respondents per province, over-sampled population of Asians) and the only weighting targets were stratification variables: \u2018province\u2019 and \u2018socio-economic category\u2019."}},"data_access":{"dataset_use":{"contact":[{"name":"DataFirst","affiliation":"University of Cape Town","email":"info@data1st.org","uri":"http:\/\/www.datafirst.uct.ac.za"}],"cit_req":"Use of the dataset must be acknowledged using a citation which would include:\n- the Identification of the Primary Investigator\n- the title of the survey (including country, acronym and year of implementation)\n- the survey reference number\n- the source and date of download\n\nExample:\n\nHuman Sciences Research Council, South Africa. Omnibus Survey 1994. Ref. ZAF_1994_OS_v01_M. Dataset from downloaded http:\/\/sada.nrf.ac.za\/ahdetails.asp?catalognumber=0117 on [date].","conditions":"Licensed dataset, accessible under conditions","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."}}},"data_files":[{"file_id":"F1","file_name":"Omnibus Survey 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