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A methodological review protocol of the use of Bayesian factor analysis in primary care research
BACKGROUND: The development of questionnaires for primary care practice and research is of increasing interest in the literature. In settings where valuable prior knowledge or preliminary data is available, Bayesian factor analysis can be used to incorporate such information when conducting question...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7796554/ https://www.ncbi.nlm.nih.gov/pubmed/33419451 http://dx.doi.org/10.1186/s13643-020-01565-6 |
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author | Zhang, Hao Schuster, Tibor |
author_facet | Zhang, Hao Schuster, Tibor |
author_sort | Zhang, Hao |
collection | PubMed |
description | BACKGROUND: The development of questionnaires for primary care practice and research is of increasing interest in the literature. In settings where valuable prior knowledge or preliminary data is available, Bayesian factor analysis can be used to incorporate such information when conducting questionnaire construct validation. This protocol outlines a methodological review that will summarize evidence on the current use of Bayesian factor analysis in the primary care literature. METHODS: A comprehensive search strategy has been developed and will be used to identify relevant literature (research studies in primary care) indexed in MEDLINE, Scopus, EMBASE, CINAHL, and Cochrane Library. The search strategy includes terms and synonyms for Bayesian factor analysis and primary care. The reference lists of relevant articles being identified will be screened to find further relevant studies. At least two reviewers will independently extract data and resolve discrepancies through consensus. Descriptive analyses will summarize the use and reporting of Bayesian factor analysis approaches for validating questionnaires applicable to primary care. DISCUSSION: This methodological review will provide a comprehensive overview of the current use and reporting of Bayesian factor analysis in primary care and will provide recommendations for its proper future use. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42018114978 |
format | Online Article Text |
id | pubmed-7796554 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-77965542021-01-11 A methodological review protocol of the use of Bayesian factor analysis in primary care research Zhang, Hao Schuster, Tibor Syst Rev Protocol BACKGROUND: The development of questionnaires for primary care practice and research is of increasing interest in the literature. In settings where valuable prior knowledge or preliminary data is available, Bayesian factor analysis can be used to incorporate such information when conducting questionnaire construct validation. This protocol outlines a methodological review that will summarize evidence on the current use of Bayesian factor analysis in the primary care literature. METHODS: A comprehensive search strategy has been developed and will be used to identify relevant literature (research studies in primary care) indexed in MEDLINE, Scopus, EMBASE, CINAHL, and Cochrane Library. The search strategy includes terms and synonyms for Bayesian factor analysis and primary care. The reference lists of relevant articles being identified will be screened to find further relevant studies. At least two reviewers will independently extract data and resolve discrepancies through consensus. Descriptive analyses will summarize the use and reporting of Bayesian factor analysis approaches for validating questionnaires applicable to primary care. DISCUSSION: This methodological review will provide a comprehensive overview of the current use and reporting of Bayesian factor analysis in primary care and will provide recommendations for its proper future use. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42018114978 BioMed Central 2021-01-08 /pmc/articles/PMC7796554/ /pubmed/33419451 http://dx.doi.org/10.1186/s13643-020-01565-6 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data. |
spellingShingle | Protocol Zhang, Hao Schuster, Tibor A methodological review protocol of the use of Bayesian factor analysis in primary care research |
title | A methodological review protocol of the use of Bayesian factor analysis in primary care research |
title_full | A methodological review protocol of the use of Bayesian factor analysis in primary care research |
title_fullStr | A methodological review protocol of the use of Bayesian factor analysis in primary care research |
title_full_unstemmed | A methodological review protocol of the use of Bayesian factor analysis in primary care research |
title_short | A methodological review protocol of the use of Bayesian factor analysis in primary care research |
title_sort | methodological review protocol of the use of bayesian factor analysis in primary care research |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7796554/ https://www.ncbi.nlm.nih.gov/pubmed/33419451 http://dx.doi.org/10.1186/s13643-020-01565-6 |
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