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The risk of misclassifying subjects within principal component based asset index
The asset index is often used as a measure of socioeconomic status in empirical research as an explanatory variable or to control confounding. Principal component analysis (PCA) is frequently used to create the asset index. We conducted a simulation study to explore how accurately the principal comp...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4075602/ https://www.ncbi.nlm.nih.gov/pubmed/24987446 http://dx.doi.org/10.1186/1742-7622-11-6 |
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author | Sharker, MA Yushuf Nasser, Mohammed Abedin, Jaynal Arnold, Benjamin F Luby, Stephen P |
author_facet | Sharker, MA Yushuf Nasser, Mohammed Abedin, Jaynal Arnold, Benjamin F Luby, Stephen P |
author_sort | Sharker, MA Yushuf |
collection | PubMed |
description | The asset index is often used as a measure of socioeconomic status in empirical research as an explanatory variable or to control confounding. Principal component analysis (PCA) is frequently used to create the asset index. We conducted a simulation study to explore how accurately the principal component based asset index reflects the study subjects’ actual poverty level, when the actual poverty level is generated by a simple factor analytic model. In the simulation study using the PC-based asset index, only 1% to 4% of subjects preserved their real position in a quintile scale of assets; between 44% to 82% of subjects were misclassified into the wrong asset quintile. If the PC-based asset index explained less than 30% of the total variance in the component variables, then we consistently observed more than 50% misclassification across quintiles of the index. The frequency of misclassification suggests that the PC-based asset index may not provide a valid measure of poverty level and should be used cautiously as a measure of socioeconomic status. |
format | Online Article Text |
id | pubmed-4075602 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-40756022014-07-01 The risk of misclassifying subjects within principal component based asset index Sharker, MA Yushuf Nasser, Mohammed Abedin, Jaynal Arnold, Benjamin F Luby, Stephen P Emerg Themes Epidemiol Analytic Perspective The asset index is often used as a measure of socioeconomic status in empirical research as an explanatory variable or to control confounding. Principal component analysis (PCA) is frequently used to create the asset index. We conducted a simulation study to explore how accurately the principal component based asset index reflects the study subjects’ actual poverty level, when the actual poverty level is generated by a simple factor analytic model. In the simulation study using the PC-based asset index, only 1% to 4% of subjects preserved their real position in a quintile scale of assets; between 44% to 82% of subjects were misclassified into the wrong asset quintile. If the PC-based asset index explained less than 30% of the total variance in the component variables, then we consistently observed more than 50% misclassification across quintiles of the index. The frequency of misclassification suggests that the PC-based asset index may not provide a valid measure of poverty level and should be used cautiously as a measure of socioeconomic status. BioMed Central 2014-06-18 /pmc/articles/PMC4075602/ /pubmed/24987446 http://dx.doi.org/10.1186/1742-7622-11-6 Text en Copyright © 2014 Sharker et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Analytic Perspective Sharker, MA Yushuf Nasser, Mohammed Abedin, Jaynal Arnold, Benjamin F Luby, Stephen P The risk of misclassifying subjects within principal component based asset index |
title | The risk of misclassifying subjects within principal component based asset index |
title_full | The risk of misclassifying subjects within principal component based asset index |
title_fullStr | The risk of misclassifying subjects within principal component based asset index |
title_full_unstemmed | The risk of misclassifying subjects within principal component based asset index |
title_short | The risk of misclassifying subjects within principal component based asset index |
title_sort | risk of misclassifying subjects within principal component based asset index |
topic | Analytic Perspective |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4075602/ https://www.ncbi.nlm.nih.gov/pubmed/24987446 http://dx.doi.org/10.1186/1742-7622-11-6 |
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