Trends in Demographic and Health Survey data quality: an analysis of age heaping over time in 34 countries in Sub Saharan Africa between 1987 and 2015

Abstract Objective This paper evaluates one aspect of data quality within DHS surveys, the accuracy of age reporting as measured by age heaping. Other literature has explored this phenomenon, and this analysis build on previous work, expanding the analysis of the extent of age heaping across multipl...

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Main Authors: Mark Lyons-Amos, Tara Stones
Format: Article
Language:English
Published: BMC 2017-12-01
Series:BMC Research Notes
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13104-017-3091-x
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spelling doaj-3cdce5edd0c34d6090d7da6ce52c12b22020-11-25T01:31:27ZengBMCBMC Research Notes1756-05002017-12-011011710.1186/s13104-017-3091-xTrends in Demographic and Health Survey data quality: an analysis of age heaping over time in 34 countries in Sub Saharan Africa between 1987 and 2015Mark Lyons-Amos0Tara Stones1School of Health Sciences and Social Work, University of PortsmouthSchool of Health Sciences and Social Work, University of PortsmouthAbstract Objective This paper evaluates one aspect of data quality within DHS surveys, the accuracy of age reporting as measured by age heaping. Other literature has explored this phenomenon, and this analysis build on previous work, expanding the analysis of the extent of age heaping across multiple countries, and across time. Results This paper makes a comparison of the magnitude of Whipple’s index of age heaping across all Demographic and Health Surveys from 1986 to 2015 in Sub-Saharan Africa. A random slope multilevel model is used to evaluate the trend in the proportion of respondents within each survey rounding their age to the nearest age with terminal digit 0 or 5. The trend in the proportion of misreported ages has remained flat, in the region of 5% of respondents misreporting their age. We find that Nigeria and Ghana have demonstrated considerable improvements in age reporting quality, but that a number of countries have considerable increases in the proportion of age misreported, most notably Mali and Ethiopia with demonstrate increases in excess of 10% points.http://link.springer.com/article/10.1186/s13104-017-3091-xData qualityDemographic and Health Survey
collection DOAJ
language English
format Article
sources DOAJ
author Mark Lyons-Amos
Tara Stones
spellingShingle Mark Lyons-Amos
Tara Stones
Trends in Demographic and Health Survey data quality: an analysis of age heaping over time in 34 countries in Sub Saharan Africa between 1987 and 2015
BMC Research Notes
Data quality
Demographic and Health Survey
author_facet Mark Lyons-Amos
Tara Stones
author_sort Mark Lyons-Amos
title Trends in Demographic and Health Survey data quality: an analysis of age heaping over time in 34 countries in Sub Saharan Africa between 1987 and 2015
title_short Trends in Demographic and Health Survey data quality: an analysis of age heaping over time in 34 countries in Sub Saharan Africa between 1987 and 2015
title_full Trends in Demographic and Health Survey data quality: an analysis of age heaping over time in 34 countries in Sub Saharan Africa between 1987 and 2015
title_fullStr Trends in Demographic and Health Survey data quality: an analysis of age heaping over time in 34 countries in Sub Saharan Africa between 1987 and 2015
title_full_unstemmed Trends in Demographic and Health Survey data quality: an analysis of age heaping over time in 34 countries in Sub Saharan Africa between 1987 and 2015
title_sort trends in demographic and health survey data quality: an analysis of age heaping over time in 34 countries in sub saharan africa between 1987 and 2015
publisher BMC
series BMC Research Notes
issn 1756-0500
publishDate 2017-12-01
description Abstract Objective This paper evaluates one aspect of data quality within DHS surveys, the accuracy of age reporting as measured by age heaping. Other literature has explored this phenomenon, and this analysis build on previous work, expanding the analysis of the extent of age heaping across multiple countries, and across time. Results This paper makes a comparison of the magnitude of Whipple’s index of age heaping across all Demographic and Health Surveys from 1986 to 2015 in Sub-Saharan Africa. A random slope multilevel model is used to evaluate the trend in the proportion of respondents within each survey rounding their age to the nearest age with terminal digit 0 or 5. The trend in the proportion of misreported ages has remained flat, in the region of 5% of respondents misreporting their age. We find that Nigeria and Ghana have demonstrated considerable improvements in age reporting quality, but that a number of countries have considerable increases in the proportion of age misreported, most notably Mali and Ethiopia with demonstrate increases in excess of 10% points.
topic Data quality
Demographic and Health Survey
url http://link.springer.com/article/10.1186/s13104-017-3091-x
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