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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Online Access: | http://link.springer.com/article/10.1186/s13104-017-3091-x |
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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 |
work_keys_str_mv |
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