The impact of nonresponse in different survey stages on the precision of prevalence estimates for multi-stage survey studies

Abstract Objective While it is known that nonresponse might produce biased results and impair the precision of results in survey research studies, the pattern of the impact on the precision of estimates due to the nonresponse in different survey stages is historically overlooked. Having this type of...

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Autores principales:	Ming Ma, Sophie Rosenberg, Alexander M. Kaizer
Formato:	article
Lenguaje:	EN
Publicado:	BMC 2021
Materias:	Nonresponse Precision Multi-stage survey study Medicine R Biology (General) QH301-705.5 Science (General) Q1-390
Acceso en línea:	https://doaj.org/article/d02fdbc2dd2b426f986f0d7916a7aea0
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spelling	oai:doaj.org-article:d02fdbc2dd2b426f986f0d7916a7aea02021-11-28T12:24:53ZThe impact of nonresponse in different survey stages on the precision of prevalence estimates for multi-stage survey studies10.1186/s13104-021-05840-01756-0500https://doaj.org/article/d02fdbc2dd2b426f986f0d7916a7aea02021-11-01T00:00:00Zhttps://doi.org/10.1186/s13104-021-05840-0https://doaj.org/toc/1756-0500Abstract Objective While it is known that nonresponse might produce biased results and impair the precision of results in survey research studies, the pattern of the impact on the precision of estimates due to the nonresponse in different survey stages is historically overlooked. Having this type of information is essential when creating recruitment plans. This study proposes to examine and compare the effect of nonresponse in different stages on the precision of prevalence estimates in multi-stage survey studies. Based on data from a state level survey, a simulation approach was used to generate datasets with different nonresponse rates in three stages. The margin of error was then compared between the datasets with nonresponse at three different survey stages for 12 outcomes. Results At the same nonresponse rate, the mean margin of error was greater for the data with nonresponse at higher stages. Additionally, as the nonresponse rate increased, precision was more inflated within the data with higher stage nonresponse. This suggests that the effort used to recruit the primary sampling units is more crucial to improve the precision of estimates in multi-stage survey studies.Ming MaSophie RosenbergAlexander M. KaizerBMCarticleNonresponsePrecisionMulti-stage survey studyMedicineRBiology (General)QH301-705.5Science (General)Q1-390ENBMC Research Notes, Vol 14, Iss 1, Pp 1-5 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Nonresponse Precision Multi-stage survey study Medicine R Biology (General) QH301-705.5 Science (General) Q1-390
spellingShingle	Nonresponse Precision Multi-stage survey study Medicine R Biology (General) QH301-705.5 Science (General) Q1-390 Ming Ma Sophie Rosenberg Alexander M. Kaizer The impact of nonresponse in different survey stages on the precision of prevalence estimates for multi-stage survey studies
description	Abstract Objective While it is known that nonresponse might produce biased results and impair the precision of results in survey research studies, the pattern of the impact on the precision of estimates due to the nonresponse in different survey stages is historically overlooked. Having this type of information is essential when creating recruitment plans. This study proposes to examine and compare the effect of nonresponse in different stages on the precision of prevalence estimates in multi-stage survey studies. Based on data from a state level survey, a simulation approach was used to generate datasets with different nonresponse rates in three stages. The margin of error was then compared between the datasets with nonresponse at three different survey stages for 12 outcomes. Results At the same nonresponse rate, the mean margin of error was greater for the data with nonresponse at higher stages. Additionally, as the nonresponse rate increased, precision was more inflated within the data with higher stage nonresponse. This suggests that the effort used to recruit the primary sampling units is more crucial to improve the precision of estimates in multi-stage survey studies.
format	article
author	Ming Ma Sophie Rosenberg Alexander M. Kaizer
author_facet	Ming Ma Sophie Rosenberg Alexander M. Kaizer
author_sort	Ming Ma
title	The impact of nonresponse in different survey stages on the precision of prevalence estimates for multi-stage survey studies
title_short	The impact of nonresponse in different survey stages on the precision of prevalence estimates for multi-stage survey studies
title_full	The impact of nonresponse in different survey stages on the precision of prevalence estimates for multi-stage survey studies
title_fullStr	The impact of nonresponse in different survey stages on the precision of prevalence estimates for multi-stage survey studies
title_full_unstemmed	The impact of nonresponse in different survey stages on the precision of prevalence estimates for multi-stage survey studies
title_sort	impact of nonresponse in different survey stages on the precision of prevalence estimates for multi-stage survey studies
publisher	BMC
publishDate	2021
url	https://doaj.org/article/d02fdbc2dd2b426f986f0d7916a7aea0
work_keys_str_mv	AT mingma theimpactofnonresponseindifferentsurveystagesontheprecisionofprevalenceestimatesformultistagesurveystudies AT sophierosenberg theimpactofnonresponseindifferentsurveystagesontheprecisionofprevalenceestimatesformultistagesurveystudies AT alexandermkaizer theimpactofnonresponseindifferentsurveystagesontheprecisionofprevalenceestimatesformultistagesurveystudies AT mingma impactofnonresponseindifferentsurveystagesontheprecisionofprevalenceestimatesformultistagesurveystudies AT sophierosenberg impactofnonresponseindifferentsurveystagesontheprecisionofprevalenceestimatesformultistagesurveystudies AT alexandermkaizer impactofnonresponseindifferentsurveystagesontheprecisionofprevalenceestimatesformultistagesurveystudies
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The impact of nonresponse in different survey stages on the precision of prevalence estimates for multi-stage survey studies

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