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A critical review of scoring options for clinical measurement tools
BACKGROUND: The aim of this paper is twofold: (1) to describe the fundamental differences between formative and reflective measurement models, and (2) to review the options proposed in the literature to obtain overall instrument summary scores, with a particular focus on formative models. METHODS: A...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4624594/ https://www.ncbi.nlm.nih.gov/pubmed/26510822 http://dx.doi.org/10.1186/s13104-015-1561-6 |
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author | Avila, Maria Laura Stinson, Jennifer Kiss, Alex Brandão, Leonardo R. Uleryk, Elizabeth Feldman, Brian M. |
author_facet | Avila, Maria Laura Stinson, Jennifer Kiss, Alex Brandão, Leonardo R. Uleryk, Elizabeth Feldman, Brian M. |
author_sort | Avila, Maria Laura |
collection | PubMed |
description | BACKGROUND: The aim of this paper is twofold: (1) to describe the fundamental differences between formative and reflective measurement models, and (2) to review the options proposed in the literature to obtain overall instrument summary scores, with a particular focus on formative models. METHODS: An extensive literature search was conducted using the following databases: MEDLINE, EMBASE, PsycINFO, CINAHL and ABI/INFORM, using “formative” and “reflective” as text words; relevant articles’ reference lists were hand searched. RESULTS: Reflective models are most frequently scored by means of simple summation, which is consistent with the theory underlying these models. However, our review suggests that formative models might be better summarized using weighted combinations of indicators, since each indicator captures unique features of the underlying construct. For this purpose, indicator weights have been obtained using choice-based, statistical, researcher-based, and combined approaches. CONCLUSION: Whereas simple summation is a theoretically justified scoring system for reflective measurement models, formative measures likely benefit from the use of weighted scores that preserve the contribution of each of the aspects of the construct. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13104-015-1561-6) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4624594 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-46245942015-10-30 A critical review of scoring options for clinical measurement tools Avila, Maria Laura Stinson, Jennifer Kiss, Alex Brandão, Leonardo R. Uleryk, Elizabeth Feldman, Brian M. BMC Res Notes Research Article BACKGROUND: The aim of this paper is twofold: (1) to describe the fundamental differences between formative and reflective measurement models, and (2) to review the options proposed in the literature to obtain overall instrument summary scores, with a particular focus on formative models. METHODS: An extensive literature search was conducted using the following databases: MEDLINE, EMBASE, PsycINFO, CINAHL and ABI/INFORM, using “formative” and “reflective” as text words; relevant articles’ reference lists were hand searched. RESULTS: Reflective models are most frequently scored by means of simple summation, which is consistent with the theory underlying these models. However, our review suggests that formative models might be better summarized using weighted combinations of indicators, since each indicator captures unique features of the underlying construct. For this purpose, indicator weights have been obtained using choice-based, statistical, researcher-based, and combined approaches. CONCLUSION: Whereas simple summation is a theoretically justified scoring system for reflective measurement models, formative measures likely benefit from the use of weighted scores that preserve the contribution of each of the aspects of the construct. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13104-015-1561-6) contains supplementary material, which is available to authorized users. BioMed Central 2015-10-28 /pmc/articles/PMC4624594/ /pubmed/26510822 http://dx.doi.org/10.1186/s13104-015-1561-6 Text en © Avila et al. 2015 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. 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 | Research Article Avila, Maria Laura Stinson, Jennifer Kiss, Alex Brandão, Leonardo R. Uleryk, Elizabeth Feldman, Brian M. A critical review of scoring options for clinical measurement tools |
title | A critical review of scoring options for clinical measurement tools |
title_full | A critical review of scoring options for clinical measurement tools |
title_fullStr | A critical review of scoring options for clinical measurement tools |
title_full_unstemmed | A critical review of scoring options for clinical measurement tools |
title_short | A critical review of scoring options for clinical measurement tools |
title_sort | critical review of scoring options for clinical measurement tools |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4624594/ https://www.ncbi.nlm.nih.gov/pubmed/26510822 http://dx.doi.org/10.1186/s13104-015-1561-6 |
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