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A recommendation for applied researchers to substantiate the claim that ordinal variables are the product of underlying bivariate normal distributions
A simulation study was carried out to study the behaviour of the polychoric correlation coefficient in data not compliant with the assumption of underlying continuous variables. Such data can produce relatively high estimated polychoric correlations (in the order of .62). Applied researchers are pro...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5559587/ https://www.ncbi.nlm.nih.gov/pubmed/28867833 http://dx.doi.org/10.1007/s11135-016-0378-2 |
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author | Kampen, Jarl K. Weeren, Arie |
author_facet | Kampen, Jarl K. Weeren, Arie |
author_sort | Kampen, Jarl K. |
collection | PubMed |
description | A simulation study was carried out to study the behaviour of the polychoric correlation coefficient in data not compliant with the assumption of underlying continuous variables. Such data can produce relatively high estimated polychoric correlations (in the order of .62). Applied researchers are prone to accept these artefacts as input for elaborate modelling (e.g., structural equation models) and inferences about reality justified by sheer magnitude of the correlations. In order to prevent this questionable research practice, it is recommended that in applications of the polychoric correlation coefficient, data is tested with goodness-of-fit of the BND, that such statistic is reported in published applications, and that the polychoric correlation is not applied when the test is significant. |
format | Online Article Text |
id | pubmed-5559587 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-55595872017-08-31 A recommendation for applied researchers to substantiate the claim that ordinal variables are the product of underlying bivariate normal distributions Kampen, Jarl K. Weeren, Arie Qual Quant Article A simulation study was carried out to study the behaviour of the polychoric correlation coefficient in data not compliant with the assumption of underlying continuous variables. Such data can produce relatively high estimated polychoric correlations (in the order of .62). Applied researchers are prone to accept these artefacts as input for elaborate modelling (e.g., structural equation models) and inferences about reality justified by sheer magnitude of the correlations. In order to prevent this questionable research practice, it is recommended that in applications of the polychoric correlation coefficient, data is tested with goodness-of-fit of the BND, that such statistic is reported in published applications, and that the polychoric correlation is not applied when the test is significant. Springer Netherlands 2016-07-06 2017 /pmc/articles/PMC5559587/ /pubmed/28867833 http://dx.doi.org/10.1007/s11135-016-0378-2 Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Article Kampen, Jarl K. Weeren, Arie A recommendation for applied researchers to substantiate the claim that ordinal variables are the product of underlying bivariate normal distributions |
title | A recommendation for applied researchers to substantiate the claim that ordinal variables are the product of underlying bivariate normal distributions |
title_full | A recommendation for applied researchers to substantiate the claim that ordinal variables are the product of underlying bivariate normal distributions |
title_fullStr | A recommendation for applied researchers to substantiate the claim that ordinal variables are the product of underlying bivariate normal distributions |
title_full_unstemmed | A recommendation for applied researchers to substantiate the claim that ordinal variables are the product of underlying bivariate normal distributions |
title_short | A recommendation for applied researchers to substantiate the claim that ordinal variables are the product of underlying bivariate normal distributions |
title_sort | recommendation for applied researchers to substantiate the claim that ordinal variables are the product of underlying bivariate normal distributions |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5559587/ https://www.ncbi.nlm.nih.gov/pubmed/28867833 http://dx.doi.org/10.1007/s11135-016-0378-2 |
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