{"doc_desc":{"title":"zaf-saldru-saifs-1999-v1","producers":[{"name":"DataFirst","abbreviation":"","affiliation":"University of Cape Town","role":"Metadata producer"}],"prod_date":"2020-04-28","version_statement":{"version":"Version 3"}},"study_desc":{"title_statement":{"idno":"zaf-saldru-saifs-1999-v1.1","title":"South African Integrated Family Survey 1999","sub_title":"Langeberg Survey","alt_title":"SAIFS 1999"},"authoring_entity":[{"name":"Southern Africa Labour and Development Research Unit","affiliation":"University of Cape Town"}],"production_statement":{"funding_agencies":[{"name":"Andrew W. Mellon Foundation","abbreviation":"","role":"Funder"},{"name":"MacArthur Foundation","abbreviation":"","role":"Funder"},{"name":"National Institute of Aging","abbreviation":"","role":"Funder for pilot study"},{"name":"John D. and Catherine T. MacArthur Foundation","abbreviation":"","role":"Funder for pilot study"},{"name":"HSRC\/UCT Centre for Gerontology","abbreviation":"","role":"Funder for pilot study"}]},"distribution_statement":{"contact":[{"name":"DataFirst Helpdesk","affiliation":"University of Cape Town","email":"support@data1st.org","uri":"http:\/\/support.data1st.org\/"}]},"series_statement":{"series_name":"Household Survey [hh]","series_info":"Southern Africa Labour and Development Research Unit. South African Integrated Family Survey 1999. [dataset]. Version 1.1. Cape Town: SALDRU [producer], 2001. Cape Town: DataFirst [distributor], 2013. DOI: https:\/\/doi.org\/10.25828\/fsdq-hf81"},"version_statement":{"version":"v1.1: Edited, anonymised data for public distribution","version_date":"2001","version_notes":"Version 1.1 of the dataset is the original dataset from SALDRU, with value labels added by DataFirst. Additional changes include the correction of variable labels in householdmod_01d, oldergivemoney_01d and olderhea_02d files.\n\nChanges in version 1.1 \nCorrections were made to variables in the following files, which had been mislabelled \nFilename: SAIFS 1999 Householdmod_01d.dta\nvariable name   old variable label\t\t\tnew variable label\nEndingHo        QB19.1 Ending hour of module\t\tQB18.1 Ending hour of module\nEndingMi        QB19.1 Ending minute of module\tQB18.1 Ending minute of module\nComprehe        QB19.3 Comprehension level\t\tQB18.3 Comprehension level\nCooperat        QB19.4 Cooperation level\t\tQB18.4 Cooperation level\nAssistan        QB19.5 Assistance?\t\t\tQB18.5 Assistance?\nAddition        QB19.7 Additional information\tQB18.7 Additional information\n\nFilename: SAIFS 1999 Oldergivemoney_01d.dta\nvariable name   variable label\t\t\tvariable label\nEmployed        QC20.12 Is he\/she employed?\t\tQC15.12 Is he\/she employed?\nOccup_a1        QC20.13 What is his her occupation?\tQC15.13 What is his her occupation?\nOccup_a2        QC20.13 Occupation code?\t\tQC15.13 Occupation code?\n\nFilename: SAIFS 1999 Olderhea_02d.dta\nAll variables. These had been mislabelled as being from Section I but were from Section E. These were renamed replacing \"QI\" with \"QE\".\n\nRemaining Data Quality Issues \nAfter corrections to the data by DataFirst, remaining identified data quality issues with the dataset are that the variables identified in the files below do not have corresponding questions in the questionnaires for the survey:\nFilename: SAIFS 1999 Householdmod_01d.dta\nvariable name   variable label\nHelpFami        QB18.1.1 Help violence\nHelpAlco        QB18.1.2 Help alcohol\nHelpPhys        QB18.1.3 Help physical disability\nHelpMent        QB18.1.4 Help mental disability\nHelpElde        QB18.1.5 Help elderly\nHelpPreg        QB18.1.6 Help pregnancy\nHelpUnem        QB18.1.7 Help unemployment\nHelpAids        QB18.1.8 Help HIV\/AIDS\nHelpOthe        QB18.1.9 Help other\nHelpOth1        QB18.1.9 Help other specified\nDTCInAre        QB18.2 District Transformation Commitee DTC\nDTCMembe        QB18.2a Member of DTC\nWelfareM        QB18.3 Welfare member\nCommunit        QB18.4 Community centre in area?\nSufficie        QB18.5 Sufficient creches?\n\nFilename: SAIFS 1999 Householdorganise_01d.dta\nAll variables"},"study_info":{"topics":[{"topic":"consumption\/consumer behaviour [1.1]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"income, property and investment\/saving [1.5]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"employment [3.1]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"EDUCATION [6]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"HEALTH [8]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"housing [10.1]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"cultural activities and participation [13.2]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"social behaviour and attitudes [13.6]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"social conditions and indicators [13.8]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"migration [14.3]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"morbidity and mortality [14.4]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"specific social services: use and provision [15.3]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"}],"abstract":"The South African Integrated Family Survey was undertaken in the second half of 1999 in the Langeberg district of the Western Cape province of South Africa. This area comprises the three magisterial districts of Mossel Bay, Heidelberg, and Riversdal which, at the time of the 1996 census, had a population of  just under 97 000 persons of whom more than three-quarters (78%) lived in urban areas. The remaining 22% of the population lived in 'non-urban' areas, mainly commercial farms.","coll_dates":[{"start":"1999","end":"","cycle":""}],"nation":[{"name":"South Africa","abbreviation":"zaf"}],"geog_coverage":"The survey covered the Langeberg region of the Western Cape Province in South Africa","geog_unit":"The lowest level of geographic aggregation covered by the data is magisterial district","analysis_unit":"Households and individuals","universe":"The survey covered all de jure household members in the area of Langeberg","data_kind":"Sample survey data","notes":"The survey collected data on household demographics and health (including mental health), dwelling characteristics, household goods and services, education, employment, mortality and migration, income and expenditure (including grants and pensions) and data on social integration and life satisfaction."},"method":{"data_collection":{"coll_mode":["Face-to-face [f2f]"],"research_instrument":"Data was collected from a stratified sample consisting of  294 households (103 Black; 126 Coloured; and 65 White) by means of four questionnaires: one directed at adults of 55 years and older; one at younger adults (between 18 and 54 years of age) and two focused on health (including anthropometric measurements) of adults and children. The survey instrument used was one that had been developed over a four year period and was the joint product of researchers at the University of Cape Town (Monica Ferreira, HSRC\/UCT Centre for Gerontology, Karen Charlton, Nutrition and Dietetics Unit; and  Jaqui Goldin, SALDRU); University of the Western Cape (Pieter le Roux, Economics); University of the Witwatersrand (Merton Dagut, and Martin Wittenberg, Faculty of Commerce); Rhodes University (Valerie Moller); the Medical Research Council (Krisela Steyn and Debbie Bradshaw); Princeton University (Anne Case and Angus Deaton, Economics and Woodrow Wilson School); Harvard University (Robert Jensen, Kennedy School of Government, and David Bloom, School of Public Health); MIT (Courtney Coile, Economics); the Health Systems Trust (Dr John Gear) and the Western Cape Provincial Dept. of Health (Drs. Najma Shaikh,   Mike Hendricks  & Ingrid le Roux) together with other persons in the medical community of South Africa. This team of gerontologists, economists, public health experts and physicians grappled with the survey design, both structure and content, through many rounds of piloting, until there was consensus that the questionnaire worked well in the field.","weight":"Weights are the inverse of the probability of selection of the household (which were calculated when the sample EAs were drawn) times the inverse of the response rate (which may be interpreted as an inverse probability of selection under the assumption that observations are missing at random within EA's).  This product summed across the 294 households to an arbitrary number approximately equal to the total number of households in the Langeberg district.  The weights were rescaled to sum across completed households to the sample size, 294, by dividing each weight (the product) by the mean weight for the 294 cases. The Rescaled weight is the weight adjusted for non-response in the survey and the Rcensus weight is the Rescaled weight adjusted to 1996 population census proportions."}},"data_access":{"dataset_use":{"contact":[{"name":"DataFirst","affiliation":"University of Cape Town","email":"support@data1st.org","uri":"http:\/\/support.data1st.org"}],"cit_req":"Southern Africa Labour and Development Research Unit. South African Integrated Family Survey 1999. [dataset]. Version 1.1. Cape Town: SALDRU [producer], 2001. Cape Town: DataFirst [distributor], 2013. DOI: https:\/\/doi.org\/10.25828\/fsdq-hf81","conditions":"Public use files, available to all"}}},"schematype":"survey"}