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Investigating biases in census questions on mortality using Agincourt heath and demographic surveillance system data

Includes abstract.

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Bibliographic Details
Main Author: Nduru, Polite Munyaradzi
Other Authors: Dorrington, Robert
Format: Thesis
Language:English
Published: Centre for Actuarial Research (CARE) 2014
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access_status_str Open Access
author Nduru, Polite Munyaradzi
author2 Dorrington, Robert
author_browse Dorrington, Robert
Nduru, Polite Munyaradzi
author_facet Dorrington, Robert
Nduru, Polite Munyaradzi
author_sort Nduru, Polite Munyaradzi
collection Thesis
description Includes abstract.
format Thesis
id oai:open.uct.ac.za:11427/5891
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:32:47.627Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2014
publishDateRange 2014
publishDateSort 2014
publisher Centre for Actuarial Research (CARE)
publisherStr Centre for Actuarial Research (CARE)
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/5891 Investigating biases in census questions on mortality using Agincourt heath and demographic surveillance system data Nduru, Polite Munyaradzi Dorrington, Robert Demography Includes abstract. Includes bibliographical references. An understanding of the errors found in census questions is important in order to assess the level of confidence in the census data and to get an appreciation of the impact of using these data in estimating mortality derived from census data. While demographic methods are often used to determine the direction of bias in the data, direct evaluation studies are required to determine the nature and extent of biases with more accuracy. Equally important is an understanding of the characteristics of the respondents who produce better responses in censuses. This can be used to inform selection of better respondents in order to improve the quality of the collected data. This research uses census data from a survey, which is matched to the longitudinal Health Demographic Surveillance System site (HDSS) data from Agincourt, Limpopo Province, South Africa, in order to assess the biases found in data used in child and adult mortality estimation that uses indirect techniques. 2014-07-31T12:39:37Z 2014-07-31T12:39:37Z 2013 Master Thesis Masters MPhil http://hdl.handle.net/11427/5891 eng application/pdf Centre for Actuarial Research (CARE) Faculty of Commerce University of Cape Town
spellingShingle Demography
Nduru, Polite Munyaradzi
Investigating biases in census questions on mortality using Agincourt heath and demographic surveillance system data
thesis_degree_str Master's
title Investigating biases in census questions on mortality using Agincourt heath and demographic surveillance system data
title_full Investigating biases in census questions on mortality using Agincourt heath and demographic surveillance system data
title_fullStr Investigating biases in census questions on mortality using Agincourt heath and demographic surveillance system data
title_full_unstemmed Investigating biases in census questions on mortality using Agincourt heath and demographic surveillance system data
title_short Investigating biases in census questions on mortality using Agincourt heath and demographic surveillance system data
title_sort investigating biases in census questions on mortality using agincourt heath and demographic surveillance system data
topic Demography
url http://hdl.handle.net/11427/5891
work_keys_str_mv AT ndurupolitemunyaradzi investigatingbiasesincensusquestionsonmortalityusingagincourtheathanddemographicsurveillancesystemdata