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Dimensionality of the system usability scale among professionals using internet-based interventions for depression: a confirmatory factor analysis
BACKGROUND: The System Usability Scale (SUS) is used to measure usability of internet-based Cognitive Behavioural Therapy (iCBT). However, whether the SUS is a valid instrument to measure usability in this context is unclear. The aim of this study is to assess the factor structure of the SUS, measur...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7216472/ https://www.ncbi.nlm.nih.gov/pubmed/32398111 http://dx.doi.org/10.1186/s12888-020-02627-8 |
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author | Mol, Mayke van Schaik, Anneke Dozeman, Els Ruwaard, Jeroen Vis, Christiaan Ebert, David D. Etzelmueller, Anne Mathiasen, Kim Moles, Bárbara Mora, Teresa Pedersen, Claus D. Skjøth, Mette Maria Pensado, Luisa Peleteiro Piera-Jimenez, Jordi Gokcay, Didem Ince, Burçin Ünlü Russi, Alessio Sacco, Ylenia Zanalda, Enrico Zabala, Ane Fullaondo Riper, Heleen Smit, Jan H. |
author_facet | Mol, Mayke van Schaik, Anneke Dozeman, Els Ruwaard, Jeroen Vis, Christiaan Ebert, David D. Etzelmueller, Anne Mathiasen, Kim Moles, Bárbara Mora, Teresa Pedersen, Claus D. Skjøth, Mette Maria Pensado, Luisa Peleteiro Piera-Jimenez, Jordi Gokcay, Didem Ince, Burçin Ünlü Russi, Alessio Sacco, Ylenia Zanalda, Enrico Zabala, Ane Fullaondo Riper, Heleen Smit, Jan H. |
author_sort | Mol, Mayke |
collection | PubMed |
description | BACKGROUND: The System Usability Scale (SUS) is used to measure usability of internet-based Cognitive Behavioural Therapy (iCBT). However, whether the SUS is a valid instrument to measure usability in this context is unclear. The aim of this study is to assess the factor structure of the SUS, measuring usability of iCBT for depression in a sample of professionals. In addition, the psychometric properties (reliability, convergent validity) of the SUS were tested. METHODS: A sample of 242 professionals using iCBT for depression from 6 European countries completed the SUS. Confirmatory Factor Analysis (CFA) was conducted to test whether a one-factor, two-factor, tone-model or bi-direct model would fit the data best. Reliability was assessed using complementary statistical indices (e.g. omega). To assess convergent validity, the SUS total score was correlated with an adapted Client Satisfaction Questionnaire (CSQ-3). RESULTS: CFA supported the one-factor, two-factor and tone-model, but the bi-factor model fitted the data best (Comparative Fit Index = 0.992, Tucker Lewis Index = 0.985, Root Mean Square Error of Approximation = 0.055, Standardized Root Mean Square Residual = 0.042 (respectively χ(2)(diff) (9) = 69.82, p < 0.001; χ(2)(diff) (8) (=) 33.04, p < 0.001). Reliability of the SUS was good (ω = 0.91). The total SUS score correlated moderately with the CSQ-3 (CSQ1 r(s) = .49, p < 0.001; CSQ2 r(s) = .46, p < 0.001; CSQ3 r(s) = .38, p < 0.001), indicating convergent validity. CONCLUSIONS: Although the SUS seems to have a multidimensional structure, the best model showed that the total sumscore of the SUS appears to be a valid and interpretable measure to assess the usability of internet-based interventions when used by professionals in mental healthcare. |
format | Online Article Text |
id | pubmed-7216472 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-72164722020-05-18 Dimensionality of the system usability scale among professionals using internet-based interventions for depression: a confirmatory factor analysis Mol, Mayke van Schaik, Anneke Dozeman, Els Ruwaard, Jeroen Vis, Christiaan Ebert, David D. Etzelmueller, Anne Mathiasen, Kim Moles, Bárbara Mora, Teresa Pedersen, Claus D. Skjøth, Mette Maria Pensado, Luisa Peleteiro Piera-Jimenez, Jordi Gokcay, Didem Ince, Burçin Ünlü Russi, Alessio Sacco, Ylenia Zanalda, Enrico Zabala, Ane Fullaondo Riper, Heleen Smit, Jan H. BMC Psychiatry Research Article BACKGROUND: The System Usability Scale (SUS) is used to measure usability of internet-based Cognitive Behavioural Therapy (iCBT). However, whether the SUS is a valid instrument to measure usability in this context is unclear. The aim of this study is to assess the factor structure of the SUS, measuring usability of iCBT for depression in a sample of professionals. In addition, the psychometric properties (reliability, convergent validity) of the SUS were tested. METHODS: A sample of 242 professionals using iCBT for depression from 6 European countries completed the SUS. Confirmatory Factor Analysis (CFA) was conducted to test whether a one-factor, two-factor, tone-model or bi-direct model would fit the data best. Reliability was assessed using complementary statistical indices (e.g. omega). To assess convergent validity, the SUS total score was correlated with an adapted Client Satisfaction Questionnaire (CSQ-3). RESULTS: CFA supported the one-factor, two-factor and tone-model, but the bi-factor model fitted the data best (Comparative Fit Index = 0.992, Tucker Lewis Index = 0.985, Root Mean Square Error of Approximation = 0.055, Standardized Root Mean Square Residual = 0.042 (respectively χ(2)(diff) (9) = 69.82, p < 0.001; χ(2)(diff) (8) (=) 33.04, p < 0.001). Reliability of the SUS was good (ω = 0.91). The total SUS score correlated moderately with the CSQ-3 (CSQ1 r(s) = .49, p < 0.001; CSQ2 r(s) = .46, p < 0.001; CSQ3 r(s) = .38, p < 0.001), indicating convergent validity. CONCLUSIONS: Although the SUS seems to have a multidimensional structure, the best model showed that the total sumscore of the SUS appears to be a valid and interpretable measure to assess the usability of internet-based interventions when used by professionals in mental healthcare. BioMed Central 2020-05-12 /pmc/articles/PMC7216472/ /pubmed/32398111 http://dx.doi.org/10.1186/s12888-020-02627-8 Text en © The Author(s) 2020 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 | Research Article Mol, Mayke van Schaik, Anneke Dozeman, Els Ruwaard, Jeroen Vis, Christiaan Ebert, David D. Etzelmueller, Anne Mathiasen, Kim Moles, Bárbara Mora, Teresa Pedersen, Claus D. Skjøth, Mette Maria Pensado, Luisa Peleteiro Piera-Jimenez, Jordi Gokcay, Didem Ince, Burçin Ünlü Russi, Alessio Sacco, Ylenia Zanalda, Enrico Zabala, Ane Fullaondo Riper, Heleen Smit, Jan H. Dimensionality of the system usability scale among professionals using internet-based interventions for depression: a confirmatory factor analysis |
title | Dimensionality of the system usability scale among professionals using internet-based interventions for depression: a confirmatory factor analysis |
title_full | Dimensionality of the system usability scale among professionals using internet-based interventions for depression: a confirmatory factor analysis |
title_fullStr | Dimensionality of the system usability scale among professionals using internet-based interventions for depression: a confirmatory factor analysis |
title_full_unstemmed | Dimensionality of the system usability scale among professionals using internet-based interventions for depression: a confirmatory factor analysis |
title_short | Dimensionality of the system usability scale among professionals using internet-based interventions for depression: a confirmatory factor analysis |
title_sort | dimensionality of the system usability scale among professionals using internet-based interventions for depression: a confirmatory factor analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7216472/ https://www.ncbi.nlm.nih.gov/pubmed/32398111 http://dx.doi.org/10.1186/s12888-020-02627-8 |
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