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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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BMC
2021-11-01
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| Series: | BMC Research Notes |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13104-021-05840-0 |
| _version_ | 1818851448495013888 |
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| author | Ming Ma Sophie Rosenberg Alexander M. Kaizer |
| author_facet | Ming Ma Sophie Rosenberg Alexander M. Kaizer |
| author_sort | Ming Ma |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-19T07:05:11Z |
| format | Article |
| id | doaj.art-d02fdbc2dd2b426f986f0d7916a7aea0 |
| institution | Directory Open Access Journal |
| issn | 1756-0500 |
| language | English |
| last_indexed | 2024-12-19T07:05:11Z |
| publishDate | 2021-11-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Research Notes |
| spelling | doaj.art-d02fdbc2dd2b426f986f0d7916a7aea02022-12-21T20:31:19ZengBMCBMC Research Notes1756-05002021-11-011411510.1186/s13104-021-05840-0The impact of nonresponse in different survey stages on the precision of prevalence estimates for multi-stage survey studiesMing Ma0Sophie Rosenberg1Alexander M. Kaizer2Community and Behavioral Health, Colorado School of Public Health, University of Colorado Anschutz Medical CampusCommunity and Behavioral Health, Colorado School of Public Health, University of Colorado Anschutz Medical CampusDepartment of Biostatistics & Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical CampusAbstract 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.https://doi.org/10.1186/s13104-021-05840-0NonresponsePrecisionMulti-stage survey study |
| spellingShingle | 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 BMC Research Notes Nonresponse Precision Multi-stage survey study |
| title | 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_short | 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 |
| topic | Nonresponse Precision Multi-stage survey study |
| url | https://doi.org/10.1186/s13104-021-05840-0 |
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