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Item response theory analysis and properties of decisional conflict scales: findings from two multi-site trials of men with localized prostate cancer
BACKGROUND: Decisional conflict is associated with decision quality and may affect decision outcomes. In the health sciences literature, the Decisional Conflict Scale is widely used to measure decisional conflict, yet limited research has described the psychometric properties of the Decisional Confl...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6610903/ https://www.ncbi.nlm.nih.gov/pubmed/31272447 http://dx.doi.org/10.1186/s12911-019-0853-5 |
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author | Pozzar, Rachel A. Berry, Donna L. Hong, Fangxin |
author_facet | Pozzar, Rachel A. Berry, Donna L. Hong, Fangxin |
author_sort | Pozzar, Rachel A. |
collection | PubMed |
description | BACKGROUND: Decisional conflict is associated with decision quality and may affect decision outcomes. In the health sciences literature, the Decisional Conflict Scale is widely used to measure decisional conflict, yet limited research has described the psychometric properties of the Decisional Conflict Scale subscales and of the low literacy version of the scale. The purpose of this secondary data analysis was therefore to examine properties of the original (DCS-12) and low literacy (LL DCS-10) Decisional Conflict Scales using Classical Measurement Theory and Item Response Theory. METHODS: Data from two multi-site trials of men with prostate cancer were used to analyze the DCS-12, LL DCS-10, and an aggregated DCS-12 dataset in which five response options were aggregated into three. Internal consistency was estimated with Cronbach’s alphas. Subscale correlations were evaluated with Pearson’s correlation coefficient. Item difficulty, item discrimination, and test information were evaluated using Graded Response Modeling (GRM). The likelihood ratio test guided model selection. RESULTS: Cronbach’s alphas for the total scales and three of four subscales were ≥ 0.85. Alphas ranged from 0.34–0.57 for the support subscales. Subscale correlations ranged from 0.42–0.71 (P < 0.001). Items on the DCS-12 exhibited the widest range of difficulty. Two items on the support subscale had low to moderate discrimination and contributed little information. Only the DCS-12 was informative across the full range of decisional conflict values. CONCLUSIONS: Lack of precision in the support subscale raises concerns about subscale validity. The DCS-12 is most capable of discriminating between respondents with high and low decisional conflict. Evaluation of interventions to reduce decisional conflict must consider the above findings. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12911-019-0853-5) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6610903 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-66109032019-07-16 Item response theory analysis and properties of decisional conflict scales: findings from two multi-site trials of men with localized prostate cancer Pozzar, Rachel A. Berry, Donna L. Hong, Fangxin BMC Med Inform Decis Mak Research Article BACKGROUND: Decisional conflict is associated with decision quality and may affect decision outcomes. In the health sciences literature, the Decisional Conflict Scale is widely used to measure decisional conflict, yet limited research has described the psychometric properties of the Decisional Conflict Scale subscales and of the low literacy version of the scale. The purpose of this secondary data analysis was therefore to examine properties of the original (DCS-12) and low literacy (LL DCS-10) Decisional Conflict Scales using Classical Measurement Theory and Item Response Theory. METHODS: Data from two multi-site trials of men with prostate cancer were used to analyze the DCS-12, LL DCS-10, and an aggregated DCS-12 dataset in which five response options were aggregated into three. Internal consistency was estimated with Cronbach’s alphas. Subscale correlations were evaluated with Pearson’s correlation coefficient. Item difficulty, item discrimination, and test information were evaluated using Graded Response Modeling (GRM). The likelihood ratio test guided model selection. RESULTS: Cronbach’s alphas for the total scales and three of four subscales were ≥ 0.85. Alphas ranged from 0.34–0.57 for the support subscales. Subscale correlations ranged from 0.42–0.71 (P < 0.001). Items on the DCS-12 exhibited the widest range of difficulty. Two items on the support subscale had low to moderate discrimination and contributed little information. Only the DCS-12 was informative across the full range of decisional conflict values. CONCLUSIONS: Lack of precision in the support subscale raises concerns about subscale validity. The DCS-12 is most capable of discriminating between respondents with high and low decisional conflict. Evaluation of interventions to reduce decisional conflict must consider the above findings. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12911-019-0853-5) contains supplementary material, which is available to authorized users. BioMed Central 2019-07-04 /pmc/articles/PMC6610903/ /pubmed/31272447 http://dx.doi.org/10.1186/s12911-019-0853-5 Text en © The Author(s). 2019 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 Pozzar, Rachel A. Berry, Donna L. Hong, Fangxin Item response theory analysis and properties of decisional conflict scales: findings from two multi-site trials of men with localized prostate cancer |
title | Item response theory analysis and properties of decisional conflict scales: findings from two multi-site trials of men with localized prostate cancer |
title_full | Item response theory analysis and properties of decisional conflict scales: findings from two multi-site trials of men with localized prostate cancer |
title_fullStr | Item response theory analysis and properties of decisional conflict scales: findings from two multi-site trials of men with localized prostate cancer |
title_full_unstemmed | Item response theory analysis and properties of decisional conflict scales: findings from two multi-site trials of men with localized prostate cancer |
title_short | Item response theory analysis and properties of decisional conflict scales: findings from two multi-site trials of men with localized prostate cancer |
title_sort | item response theory analysis and properties of decisional conflict scales: findings from two multi-site trials of men with localized prostate cancer |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6610903/ https://www.ncbi.nlm.nih.gov/pubmed/31272447 http://dx.doi.org/10.1186/s12911-019-0853-5 |
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