Dimensionality of the system usability scale among professionals using internet-based interventions for depression: a confirmatory factor analysis
Open accessAbstract
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.
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TL;DR
This confirmatory factor analysis tested the dimensionality and psychometric properties of the System Usability Scale (SUS) among 242 professionals using internet-based CBT for depression across six European countries. A bi-factor model fit best, but the SUS total score was reliable and showed convergent validity, supporting use of the total sumscore as a valid usability measure in this context.
Key findings
- The bi-factor model fit the data best: CFI = 0.992, TLI = 0.985, RMSEA = 0.055, SRMR = 0.042, and it significantly outperformed the one-factor, two-factor, and tone models (e.g., one-factor χ²diff(9) = 69.82, p < 0.001; two-factor χ²diff(8) = 33.04, p < 0.001).
- Reliability of the 10 SUS items was good: ω = 0.91. Subscale analyses indicated the Usability and Learnability subscales did not add value over the total score (PRMSEtotal = 0.93; PRMSEusability = 0.70; PRMSElearnability = 0.55).
- Convergent validity was supported by moderate correlations between the SUS total score and the adapted CSQ-3 items: CSQ1 rs = .49, CSQ2 rs = .46, CSQ3 rs = .38, all p < 0.001.
- The pooled mean SUS total score was 67.9 (SD 16.3; range 20–100), described as just below average.
Methods
- A sample of 242 professionals providing guided or blended iCBT to patients with depressive symptoms in the Netherlands (n = 51), Germany (n = 16), Denmark (n = 4), Spain (n = 135), Italy (n = 33), and Turkey (n = 3) completed the SUS and an adapted CSQ-3.
- Confirmatory factor analysis compared four models: one-factor, two-factor (Usability/Learnability), tone model (positive/negative), and bi-factor, using WLSMV estimation for ordinal data.
- Reliability was assessed with omega and related indices; convergent validity was assessed with Spearman rank-order correlations between the SUS total score and CSQ-3 items.
Limitations
- The paper states that the sample had an uneven distribution of professionals per country, causing under- and over-representation, limiting country-specific factor structure analysis and possibly biasing standard errors; iCBT technical formats and content also differed between countries.
- The paper states that most SUS translations were informal, so different interpretations by professionals may have occurred, though back-translation was used to minimize this risk.
- The paper states that the mixed tone of negatively and positively worded items may distort the SUS factor structure, and notes prior evidence that mixed tone can cause respondent mistakes and miscoding.
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- Findingown data
The total SUS score correlated moderately with the CSQ-3 (CSQ1 rs = .49, p < 0.001; CSQ2 rs = .46, p < 0.001; CSQ3 rs = .38, p < 0.001).
“The total SUS score correlated moderately with the CSQ-3 (CSQ1 rs = .49, p < 0.001; CSQ2 rs = .46, p < 0.001; CSQ3 rs = .38, p < 0.001), indicating convergent validity.”
Quote in the paperSubstantial claim - Findingown data
The SUS total score correlated with CSQ1 at rs = 0.49 (95% CI 0.39 to 0.58).
“CSQ1. Have the needs been met? | 0.49 (0.39 to 0.58)a”
Quote in the paperSubstantial claim - Findingown data
A sample of 242 professionals using iCBT for depression from 6 European countries completed the SUS.
“A sample of 242 professionals using iCBT for depression from 6 European countries completed the SUS.”
- Also stated in: § Recruitment · plain
“For the purpose of this study, the data provided by the professionals was used (n = 242).”
Quote in the paperSubstantial claim - Also stated in: § Recruitment · plain
- Findingown data
The Usability and Learnability factors in the bi-factor model correlated positively (rs = 0.70).
“Fig. 2 shows a visualization of the bi-factor model, with a positive correlation (rs = 0.70) between the factors Usability and Learnability.”
Quote in the paperNot a substantial claim - Findingown data
Reliability of the SUS was good (ω = 0.91).
“Reliability of the SUS was good (ω = 0.91).”
Quote in the paperNot a substantial claim
- Findingown data
The pooled mean total SUS score was 67.9 (SD 16.3; range 20-100).
“The pooled mean total score of the SUS was 67.9 (SD 16.3; range 20–100), indicating a (just) below average score.”
Quote in the paperNot a substantial claim - Findingown data
The bi-factor model had better fit indices than the one-factor, two-factor, and tone models.
“However, further inspection revealed a better fit for the indices of the bi-factor.”
- Also stated in: § Discussion · plain
“The CFA provided support for the bi-factor model; this model fitted the data better than the one-factor model, the two-factor model or the tone model.”
Quote in the paperSubstantial claim - Also stated in: § Discussion · plain
- Findingown data
The bi-factor model fitted the data best (CFI = 0.992, TLI = 0.985, RMSEA = 0.055, SRMR = 0.042; χ2diff (9) = 69.82, p < 0.001; χ2diff (8) = 33.04, p < 0.001).
“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 χ2diff (9) = 69.82, p < 0.001; χ2diff (8) = 33.04, p < 0.001).”
Quote in the paperSubstantial claim - Findingown data
The scaled chi-square test showed a statistically significant difference between the bi-factor model and each of the other models (one-factor, two-factor, tone).
“The scaled chi-square test confirmed that the difference between the bi-factor model and the other models was statistically significant (one-factor χ2diff = 69.82, df = 9, p < 0.001; two-factor χ2diff = 33.04, df = 8, p < 0.001; tone model χ2diff = 59.58, df = 8, p < 0.001).”
Quote in the paperSubstantial claim - Findingown data
The SUS total score correlated with CSQ2 at rs = 0.46 (95% CI 0.35 to 0.55).
“CSQ2. Overall satisfaction? | 0.46 (0.35 to 0.55)a”
Quote in the paperSubstantial claim - Findingown data
The SUS total score correlated with CSQ3 at rs = 0.38 (95% CI 0.26 to 0.48).
“CSQ3. Provide treatment again? | 0.38 (0.26 to 0.48)a”
Quote in the paperSubstantial claim - Findingown data
The 10 SUS items had acceptable reliability (ω = 0.91).
“The reliability analysis showed that the 10 items on the SUS had acceptable reliability, ω = 0.91.”
- Also stated in: § Discussion · plain
“Moreover, the SUS in this study had a good reliability.”
Quote in the paperNot a substantial claim - Also stated in: § Discussion · plain
- Premisecitation
Low usability of internet-based interventions is one of the barriers for implementation.
“As research showed that one of the barriers for implementation is the low usability of internet-based interventions, it is important to assess the usability of iCBT [5, 6].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [5] Folker AP, Mathiasen K, Lauridsen SM, Stenderup E, Dozeman E, Folker MP. Implementing internet-delivered cognitive behavior therapy for common mental health disorders: a comparative case study of implementation challenges perceived by therapists and managers in five European internet services. Internet Interv. 2018;11:60–70. https://doi.org/10.1016/J.INVENT.2018.02.001. source
Not checked in the free run.
- cites [6] Vis C, Mol M, Kleiboer A, Bührmann L, Finch T, Smit J, et al. Improving implementation of emental health for mood disorders in routine practice: systematic review of barriers and facilitating factors. JMIR Mental Health. 2018;20. https://doi.org/10.2196/mental.9769. source
Not checked in the free run.
- Study design and conductnone given
The sample had an uneven distribution of professionals per country, resulting in under- and over-representation of countries.
“First of all, the sample had an uneven distribution of professionals per country resulting in an under and over representation of the countries included within the study.”
Quote in the paperSubstantial claim - Interpretationown data
The SUS had good psychometric properties in a heterogeneous sample of professionals in mental healthcare.
“This study demonstrated that the SUS had good psychometric properties, even in a heterogeneous sample of professionals in mental healthcare.”
Quote in the paperSubstantial claim- Rests on an assumption: The CSQ-3 is a valid measure of satisfaction for assessing convergent validity with the SUS.
- Interpretationown data
The subscales do not have added value over the total score.
“both PRMSE ratio values exceed 1 confirming that the subscales do not have added value over the total score.”
- Also stated in: § Discussion · plain
“further analysis showed that the subscales contain no information that is not already contained in the total score.”
Quote in the paperSubstantial claim - Also stated in: § Discussion · plain
- Premisecitation
A sample size of >200 seems sufficient for robust parameter estimations with ordinal data.
“A sample size of > 200 seems sufficient for robust parameter estimations with ordinal data according to Bandalos and Forero and colleagues [44, 45].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [44] Bandalos DL. Relative performance of categorical diagonally weighted least squares and robust maximum likelihood estimation. Struct Equ Model Multidiscip J. 2014;21:102–16. https://doi.org/10.1080/10705511.2014.859510. source
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- cites [45] Forero CG, Maydeu-Olivares A, Gallardo-Pujol D. Factor analysis with ordinal indicators: a Monte Carlo study comparing DWLS and ULS estimation. Struct Equ Model. 2009;16:625–41. https://doi.org/10.1080/10705510903203573. source
Not checked in the free run.
- Interpretationown data
The correlations between SUS and CSQ-3 indicate convergent validity between the two measures.
“The total score of the SUS correlated moderately with the three items on the CSQ-3, indicating convergent validity between the two measures (See Table 7).”
- Also stated in: § Discussion · plain
“The correlations between the SUS and CSQ-scores indicated convergent validity, comparable to other studies that also found considerable evidence for the overlap with other related questionnaires such as the Usability Metric for User Experience (UMUX) [18, 47].”
Quote in the paperSubstantial claim- Rests on an assumption: The CSQ-3 is a valid measure of satisfaction for assessing convergent validity with the SUS.
- Also stated in: § Discussion · plain
- Interpretationown data
The SUS is a valid measure to assess the usability of iCBT in mental healthcare.
“Findings of our study demonstrate that the System Usability Scale (SUS) is a valid measure to assess the usability of iCBT in mental healthcare.”
Quote in the paperSubstantial claim- Rests on an assumption: The CSQ-3 is a valid measure of satisfaction for assessing convergent validity with the SUS.
- Interpretationreasoning
The representativeness of the sample might be affected by the uneven distribution and differences between countries.
“Hence, the representativeness of the sample might be affected by this.”
Quote in the paperNot a substantial claim - Interpretationown data
The moderate correlations between the total SUS score and the CSQ-3 indicate convergent validity.
“indicating convergent validity.”
Quote in the paperSubstantial claim - Premisecitation
The correlations between SUS and CSQ-scores were comparable to other studies that found overlap with UMUX.
“The correlations between the SUS and CSQ-scores indicated convergent validity, comparable to other studies that also found considerable evidence for the overlap with other related questionnaires such as the Usability Metric for User Experience (UMUX) [18, 47].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [18] Borsci S, Federici S, Bacci S, Gnaldi M, Bartolucci F. Assessing user satisfaction in the era of user experience: comparison of the SUS, UMUX, and UMUX-LITE as a function of product experience. Int J Hum Comput Interact. 2015;31:484–95. https://doi.org/10.1080/10447318.2015.1064648. source
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- cites [47] Berkman MI, Karahoca D. Re-assessing the usability metric for user experience (UMUX) scale. J Usability Stud. 2016;11:89–109.
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- Classified as probably not a substantial claim. 44
- May combine two claims. 22
Probably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataAbout half of the respondents (54.5%) had more than 5 years of professional experience in mental healthcare.
“About half of the respondents had more than 5 years of professional experience in mental healthcare (54.5%).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe PUC was 0.36, the ECV was 0.75, and omega hierarchical was 0.78.
“The PUC was 0.36, the ECV was 0.75 and omega hierarchical was 0.78, meaning that the SUS is not entirely convincingly unidimensional and at the same time the presence of the two subscales (Usability/Learnability) not serious enough is to disqualify undimensionality.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe respondents (n = 242) completed the questionnaire between August and December 2016.
“The respondents (n = 242) completed the questionnaire between August and December 2016.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataAmong the respondents, 39.3% were GPs, 34.7% were psychologists or psychiatrists and 24.8% had a different professional background.
“39.3% of the respondents were GP’s, 34.7% were psychologists or psychiatrists and 24.8% had a different professional background (e.g. specialized health nurses, health workers).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataConfirmatory factor analysis supported the one-factor, two-factor and tone-model.
“CFA supported the one-factor, two-factor and tone-model, but the bi-factor model fitted the data best”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe majority of respondents (57%) had provided iCBT at least five times to treat depressed patients.
“The majority of respondents (57%) had provided iCBT at least five times to treat depressed patients.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe PRMSE values were: total = 0.93, usability = 0.70, learnability = 0.55.
“This was made clear by the PRMSE results of the total (PRMSEtotal = 0.93 and subscale scores (PRMSEusability = 0.70, PRMSE learnability = 0.55): both PRMSE ratio values exceed 1 confirming that the subscales do not have added value over the total score.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataA relatively large group (36.4%) had little experience with iCBT, defined as providing iCBT less than 5 times to patients.
“Still, a relatively large group (36.4%) had little experience with iCBT (i.e. providing iCBT less than 5 times to patients).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe professionals provided guided and blended iCBT to patients with depressive symptoms in the Netherlands (n = 51), Germany (n = 16), Denmark (n = 4), Spain (n = 135), Italy (n = 33) and Turkey (n = 3).
“They provided guided and blended iCBT to patients with depressive symptoms in the Netherlands (n = 51), Germany (n = 16), Denmark (n = 4), Spain (n = 135), Italy (n = 33) and Turkey (n = 3).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe one-factor, two-factor, and tone models had acceptable fit according to CFI ≥ 0.95, TLI ≥ 0.95, and SRMR ≤ 0.08.
“The overall goodness-of-fit indices suggested that the one-factor, the two-factor and tone models have an acceptable fit (i.e. CFI ≥ 0.95, TLI ≥ 0.95, SRMR ≤0.08).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe amount of iCBT experience among professionals in the sample varied considerably.
“In our sample, the amount of iCBT experience among the professionals varied considerably.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationSatisfaction is related to system usability, either contributing to the level of usability or being a consequence of usability.
“Satisfaction is related to system usability in the sense that satisfaction can contribute to the level of usability or where satisfaction is a consequence of usability [12].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [12] Tractinsky N. The usability construct: a dead end? Hum Comput Interact. 2018;33:131–77. https://doi.org/10.1080/07370024.2017.1298038. source
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
PremisecitationThe SUS provides a single score for usability and is designed as a unidimensional (one factor) measurement.
“The SUS provides a single score for usability and is designed as a unidimensional (one factor) measurement [13].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [13] Brooke J. SUS-A quick and dirty usability scale. Usability Eval Ind. 1996;189:4–7.
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Classified as probably not a substantial claim.
PremisecitationThe System Usability Scale (SUS) has increasingly been applied to measure usability of internet-based cognitive behavioural therapy (iCBT) in feasibility and evaluation studies in mental healthcare.
“In feasibility and evaluation studies on iCBT in mental healthcare, the System Usability Scale (SUS) has increasingly been applied to measure usability [7–9]”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [7] Kooistra LC, Ruwaard J, Wiersma JE, van Oppen P, van der Vaart R, van Gemert-Pijnen JEWC, et al. Development and initial evaluation of blended cognitive behavioural treatment for major depression in routine specialized mental health care. Internet Interv. 2016;4:61–71. https://doi.org/10.1016/j.invent.2016.01.003. source
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- cites [8] Wozney L, Baxter P, Newton AS. Usability evaluation with mental health professionals and young people to develop an internet-based cognitive-behaviour therapy program for adolescents with anxiety disorders. BMC Pediatr. 2015;15:213. https://doi.org/10.1186/s12887-015-0534-1. source
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- cites [9] Kleiboer A, Smit J, Bosmans J, Ruwaard J, Andersson G, Topooco N, et al. European COMPARative effectiveness research on blended depression treatment versus treatment-as-usual (E-COMPARED): study protocol for a randomized controlled, non-inferiority trial in eight European countries. Trials. 2016;17. https://doi.org/10.1186/s13063-016-1511-1. source
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Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSeveral studies encountered an unintentional SUS factor structure caused by the mixed tone.
“However, several studies encountered an unintentional SUS factor structure caused by the mixed tone (e.g. ) [24].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [24] Kortum P, Sorber M. Measuring the usability of Mobile applications for phones and tablets. Int J Hum Comput Interact. 2015;31:518–29. source
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
PremisecitationWhen PUC is greater than .70 and ECV greater than .70, relative bias will be slight and the common variance can be regarded as essentially unidimensional.
“When PUC is greater than .70 and ECV greater than .70 relative bias will be slight and the common variance can be regarded as essentially unidimensional [39].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [39] Rodriguez A, Reise SP, Haviland MG. Applying Bifactor statistical indices in the evaluation of psychological measures. J Pers Assess. 2016;98:223–37. https://doi.org/10.1080/00223891.2015.1089249. source
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May combine two claims.
Study design and conductreasoningThe analysis of the factor structure was limited in accounting for different countries and possible biased standard error.
“This also limited the analysis of the factor structure in taking into account the different countries and the possible biased standard error.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe CSQ shows good reliability and validity and is used across a range of services, from inpatient to forensic services, without a specific setting of care, and in internet-based interventions.
“The CSQ shows good reliability and validity and is used across a range of services, from inpatient to forensic services, without a specific setting of care [31] and internet-based interventions [32].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [31] Miglietta E, Belessiotis-Richards C, Ruggeri M, Priebe S. Scales for assessing patient satisfaction with mental health care: a systematic review. J Psychiatr Res. 2018;100:33–46. https://doi.org/10.1016/j.jpsychires.2018.02.014. source
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- cites [32] Boβ L, Lehr D, Reis D, Vis C, Riper H, Berking M, et al. Reliability and validity of assessing user satisfaction with web-based health interventions. J Med Internet Res. 2016;18. https://doi.org/10.2196/jmir.5952. source
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Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationLewis and Sauro concluded to treat the SUS as a single factor structure.
“As the tone structure is of little practical and theoretical interest, their conclusion was to treat SUS as a single factor structure.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [26] Lewis JR, Sauro J. Revisiting the factor structure of the system usability scale. J Usability Stud. 2017;12:183–92.
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
PremisecitationThere is no cut-off point for omega to evaluate acceptable reliability; a minimum of .50 and values closer to .75 are recommended for satisfactory and good reliability.
“There is no cut-off point for omega to evaluate acceptable reliability, a minimum of .50 and values closer to .75 are recommended for satisfactory and good reliability [40].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [40] Reise SP, Scheines R, Widaman KF, Haviland MG. Multidimensionality and structural coefficient Bias in structural equation modeling: a Bifactor perspective. Educ Psychol Meas. 2013;73:5–26. https://doi.org/10.1177/0013164412449831. source
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Interpretationown dataResearchers interested in the usability of internet-based interventions in mental healthcare can use the proposed scoring of the SUS and in particular the calculated sumscore.
“However the bi-factor model showed the best results in this sample indicating that researchers interested in the usability of internet-based interventions in mental healthcare can use the proposed scoring of the SUS and in particular the calculated sumscore.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationBrown suggested a set of goodness-of-fit indices and criterion values that provide an overall satisfactory performance in evaluating models.
“Overall model fit was assessed using a set of goodness-of-fit indices and criterion values, as suggested by Brown [36] as these indices provide an overall satisfactory performance in evaluating models”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [36] Brown T. Confirmatory factor analysis for applied research. New York, NY: Guilford Press; 2006.
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PremisecitationThe mixed tone was originally used to control for acquiescence bias.
“The mixed tone was originally used to control for acquiescence bias; the hypothesized tendency of respondents to agree with statements with a mix of positive and negative tone [19].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [19] Lewis JR, Sauro J. Item benchmarks for the system usability scale. J Usability Stud. 2018;13:158–67.
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Classified as probably not a substantial claim.
PremisecitationThe fit indices should be considered in combination, as a good fit meets all the chosen criteria.
“These fit indices were considered in combination, as a good fit meets all the chosen criteria [37].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [37] Hu L, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct Equ Model A Multidiscip J. 1999;6:1–55. https://doi.org/10.1080/10705519909540118. source
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Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe SUS is without costs, technology agnostic, brief, reliable and valid.
“In addition, it is without costs, technology agnostic, brief, reliable and valid [15].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [15] Lewis JR. The system usability scale: past, present, and future. Int J Hum Comput Interact. 2018;34:577–90. https://doi.org/10.1080/10447318.2018.1455307. source
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Study design and conductnone givenIn countries where no translation to the local language was available, the forward and backward method was followed to translate the SUS items.
“In the countries where no translation to the local language was available, the forward and backward method was followed to translate the SUS items”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationStudies have also replicated the one-factor model of the SUS.
“and the one-factor model as well [24, 25].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [24] Kortum P, Sorber M. Measuring the usability of Mobile applications for phones and tablets. Int J Hum Comput Interact. 2015;31:518–29. source
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- cites [25] Lewis JR, Brown J, Mayes DK. Psychometric evaluation of the EMO and the SUS in the context of a large-sample Unmoderated usability study. Int J Hum Comput Interact. 2015;31:545–53. https://doi.org/10.1080/10447318.2015.1064665. source
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Classified as probably not a substantial claim. May combine two claims.
PremisecitationIf the ratio of PRMSE based on subscale scores over total score exceeds one, the subscore does not have added value and it is not recommended to use the subscore in statistical models.
“If the ratio of these values, subscore over total score, exceed one, the subscore does not have added value and it is not recommended to use the subscore in statistical models.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [41] Haberman SJ. When can subscores have value? J Educ Behav Stat. 2008;33:204–29. https://doi.org/10.3102/1076998607302636. source
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Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenMost translations of the original SUS items were informal, so possible different interpretations by professionals may have occurred.
“Secondly, as most translations of the original SUS items were informal, possible different interpretations by the professionals may have occurred.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationStudies have replicated inconsistent findings pointing towards the two-factor model of the SUS.
“Since then, studies replicated inconsistent findings pointing towards this two-factor model (e.g. ) [23]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [23] Borsci S, Federici S, Lauriola M. On the dimensionality of the system usability scale: a test of alternative measurement models. Cogn Process. 2009;10:193–7. source
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Classified as probably not a substantial claim.
PremisecitationThe Weighted Least Squares Mean and Variance adjusted (WLSMV) estimator is recommended for the analysis of ordinal data.
“Hence, the Weighted Least Squares Mean and Variance adjusted (WLSMV) estimator was used as a method of parameter estimation as this is recommended for the analysis of ordinal data [36].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [36] Brown T. Confirmatory factor analysis for applied research. New York, NY: Guilford Press; 2006.
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Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSample sizes between 200 and 500 are recommended for CFA with ordinal data.
“In which sample sizes between 200 and 500 are recommended.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [44] Bandalos DL. Relative performance of categorical diagonally weighted least squares and robust maximum likelihood estimation. Struct Equ Model Multidiscip J. 2014;21:102–16. https://doi.org/10.1080/10705511.2014.859510. source
Not checked in the free run.
- cites [45] Forero CG, Maydeu-Olivares A, Gallardo-Pujol D. Factor analysis with ordinal indicators: a Monte Carlo study comparing DWLS and ULS estimation. Struct Equ Model. 2009;16:625–41. https://doi.org/10.1080/10705510903203573. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe SUS has sensitivity.
“and sensitivity (e.g. ) [14]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [14] Lewis JR, Sauro J. The factor structure of the system usability scale. Hum Centered Design. 2009:94–103. https://doi.org/10.1007/978-3-642-02806-9_12. source
Not checked in the free run.
May combine two claims.
Study design and conductreasoningData from Scotland, Wales, Estonia and Norway were not suitable for the purpose of this study because these countries evaluated unguided iCBT and the professionals' interaction with the interface of iCBT was very minimal.
“Data from the other MasterMind countries (Scotland, Wales, Estonia and Norway) were not suitable for the purpose of this study, as these countries evaluated unguided iCBT and the professionals’ interaction with the interface of iCBT was very minimal.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationUsability of internet-based interventions is an important factor in successful implementation and patient engagement.
“Usability of internet-based interventions are an important factor in successful implementation and patient engagement [6].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [6] Vis C, Mol M, Kleiboer A, Bührmann L, Finch T, Smit J, et al. Improving implementation of emental health for mood disorders in routine practice: systematic review of barriers and facilitating factors. JMIR Mental Health. 2018;20. https://doi.org/10.2196/mental.9769. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationcitationThe factor structure of the SUS may be distorted by the mixed tone of negatively and positively worded items.
“It is possible that the factor structure of the SUS is distorted by the mixed tone of negatively and positively worded items.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenThe technical formats and content of the iCBT interventions differed between countries.
“Plus, the technical formats of the iCBT applications as well as the content of the iCBT interventions differed between countries.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationThe risk of different interpretations due to informal translations was minimized by using a back-translation method.
“On the other hand, this risk was minimized by using a back-translation method [30].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [30] Brislin RW. Back-translation for cross-cultural research. J Cross-Cult Psychol. 1970;1:185–216. https://doi.org/10.1177/135910457000100301. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationMore recent research showed that the two-factor structure of the SUS possibly depends on the amount of experience that users have with a given product.
“More recent research showed that two-factor structure possibly depends on the amount of experience that users have with a given product [18].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [18] Borsci S, Federici S, Bacci S, Gnaldi M, Bartolucci F. Assessing user satisfaction in the era of user experience: comparison of the SUS, UMUX, and UMUX-LITE as a function of product experience. Int J Hum Comput Interact. 2015;31:484–95. https://doi.org/10.1080/10447318.2015.1064648. source
Not checked in the free run.
May combine two claims.
Interpretationown dataAlthough 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.
“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.”
Quote in the paperSubstantial claim- Rests on an assumption: The sample of 242 professionals from six European countries is representative of professionals using iCBT for depression in mental healthcare.
- Rests on an assumption: The forward and backward translation method ensures equivalence of the SUS items across languages.
- Rests on an assumption: The factor structure of the SUS is equivalent across the six European countries from which data were pooled.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn 2017, Lewis and Sauro found a different two-factor structure of the SUS produced by the positive and negative tone of the items.
“In 2017, Lewis and Sauro revisited the factor structure of the SUS and tried to replicate the two-factor structure [26]. However, they found a different two-factor structure produced by the positive and negative tone of the items.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [26] Lewis JR, Sauro J. Revisiting the factor structure of the system usability scale. J Usability Stud. 2017;12:183–92.
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe SUS has acceptable levels of convergent validity with other measures of perceived usability.
“acceptable levels of convergent validity with other measures of perceived usability (e.g. ) [18]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [18] Borsci S, Federici S, Bacci S, Gnaldi M, Bartolucci F. Assessing user satisfaction in the era of user experience: comparison of the SUS, UMUX, and UMUX-LITE as a function of product experience. Int J Hum Comput Interact. 2015;31:484–95. https://doi.org/10.1080/10447318.2015.1064648. source
Not checked in the free run.
May combine two claims.
Interpretationown dataThe SUS is not entirely convincingly unidimensional, but the presence of the two subscales (Usability/Learnability) is not serious enough to disqualify unidimensionality.
“The PUC was 0.36, the ECV was 0.75 and omega hierarchical was 0.78, meaning that the SUS is not entirely convincingly unidimensional and at the same time the presence of the two subscales (Usability/Learnability) not serious enough is to disqualify undimensionality.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationLewis and Sauro proposed that there might be two factors in the SUS: Usability and Learnability.
“As for the factor structure, Lewis and Sauro [14] proposed that there might be two factors in the SUS: Usability and Learnability.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [14] Lewis JR, Sauro J. The factor structure of the system usability scale. Hum Centered Design. 2009:94–103. https://doi.org/10.1007/978-3-642-02806-9_12. source
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationA common criterion for the absolute magnitude of correlations that supports the hypothesis of convergent validity is a minimum of 0.30.
“A common criterion for the absolute magnitude of correlations that supports the hypothesis of convergent validity is a minimum of 0.30 [42].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [42] Swank JM, Mullen PR. Evaluating evidence for conceptually related constructs using bivariate correlations. Meas Eval Couns Dev. 2017;50:270–4. https://doi.org/10.1080/07481756.2017.1339562. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe psychometric properties of the SUS are sufficiently studied, with reported reliabilities between 0.79 and 0.97.
“The psychometric properties of the SUS are sufficiently studied with reported reliabilities between 0.79 and 0.97 (e.g. )[16, 17]”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [16] Dianat I, Ghanbari Z, AsghariJafarabadi M. Psychometric properties of the persian language version of the system usability scale. Health Promot Perspect. 2014;4:82–9. https://doi.org/10.5681/hpp.2014.011. source
Not checked in the free run.
- cites [17] Finstad K. The usability metric for user experience. Interact Comput. 2010;22:323–7. https://doi.org/10.1016/j.intcom.2010.04.004. source
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationWhen PUC is lower than .80, general ECV is greater than .60 and omega hierarchical is greater than .70, multidimensionality is not severe enough to disqualify the interpretation of the instrument as primarily unidimensional.
“When a PUC value is lower than .80, the general ECV value greater than .60 and omega hierarchical (of the general factor) is greater than .70 it is suggested that the presence of multidimensionality is not severe enough to disqualify the interpretation of the instrument as primarily unidimensional [40].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [40] Reise SP, Scheines R, Widaman KF, Haviland MG. Multidimensionality and structural coefficient Bias in structural equation modeling: a Bifactor perspective. Educ Psychol Meas. 2013;73:5–26. https://doi.org/10.1177/0013164412449831. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationOmega is a reliability estimate that does not depend on the assumption of tau equivalence unlike Cronbach's alpha.
“Omega is a reliability estimate that does not depend on the assumption of tau equivalence unlike its classic counterpart Cronbach’s alpha [39].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [39] Rodriguez A, Reise SP, Haviland MG. Applying Bifactor statistical indices in the evaluation of psychological measures. J Pers Assess. 2016;98:223–37. https://doi.org/10.1080/00223891.2015.1089249. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationA large variety of product experience was also reported in studies that found a one-factor model.
“However, a large variety of product experience was also reported in studies that found a one-factor model (e.g. ) [24, 25].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [24] Kortum P, Sorber M. Measuring the usability of Mobile applications for phones and tablets. Int J Hum Comput Interact. 2015;31:518–29. source
Not checked in the free run.
- cites [25] Lewis JR, Brown J, Mayes DK. Psychometric evaluation of the EMO and the SUS in the context of a large-sample Unmoderated usability study. Int J Hum Comput Interact. 2015;31:545–53. https://doi.org/10.1080/10447318.2015.1064665. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationSauro and Lewis found no evidence for strong acquiescence bias or extreme response bias.
“In addition, they found no evidence for strong acquiescence bias or extreme response bias.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [48] Sauro J, Lewis JR. When designing usability questionnaires, does it hurt to be positive? In: Conference on Human Factors in Computing Systems - Proceedings; 2011. p. 2215–23. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThere is evidence that the mixed tone caused respondents to make mistakes and researchers to miscode the questionnaire.
“Moreover, there is evidence that the mixed tone caused respondents to make mistakes and researchers to miscode the questionnaire [48].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [48] Sauro J, Lewis JR. When designing usability questionnaires, does it hurt to be positive? In: Conference on Human Factors in Computing Systems - Proceedings; 2011. p. 2215–23. source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSauro and Lewis (2011) found no significant difference between the mean overall SUS scores of the positive and mixed versions.
“In 2011, Sauro and Lewis tested a positive version of the SUS and found no significant difference between the mean overall SUS scores of the positive and mixed versions [48].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [48] Sauro J, Lewis JR. When designing usability questionnaires, does it hurt to be positive? In: Conference on Human Factors in Computing Systems - Proceedings; 2011. p. 2215–23. source
Not checked in the free run.
The paper relies on this without support.
The SUS has not yet been validated in the emerging field of iCBT.
“however this instrument has not yet been validated in this emerging field.”
The paper relies on this without support.
The sample of 242 professionals from six European countries is representative of professionals using iCBT for depression in mental healthcare.
“A sample of 242 professionals using iCBT for depression from 6 European countries completed the SUS.”
The paper relies on this without support.
The forward and backward translation method ensures equivalence of the SUS items across languages.
“In the countries where no translation to the local language was available, the forward and backward method was followed to translate the SUS items”
The paper relies on this without support.
The factor structure of the SUS is equivalent across the six European countries from which data were pooled.
“Data of six European countries were pooled for analytic purposes.”
The paper relies on this without support.
The CSQ-3 is a valid measure of satisfaction for assessing convergent validity with the SUS.
“The total score of the SUS correlated moderately with the three items on the CSQ-3, indicating convergent validity between the two measures (See Table 7).”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The system usability scale was originally created by John Brooke in 1986 and is widely used.
“The usability of EHR system was measured using a system usability scale originally created by John Brooke in 1986, which is a widely used self-report scale regarding to technique products including hardware, software, mobile devices, websites and applications”
From Workflow interruption and nurses’ mental workload in electronic health record tasks: An observational study (2023) · cites this paper as [36]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
PRMSE ratios are below 1, not above it
MajorThe stated ratio is subscale score divided by total score. The reported values give 0.70/0.93 ≈ 0.75 and 0.55/0.93 ≈ 0.59, so neither ratio exceeds 1 as claimed in support of the subscale conclusion.
“PRMSEtotal = 0.93 and subscale scores (PRMSEusability = 0.70, PRMSE learnability = 0.55): both PRMSE ratio values exceed 1 confirming that the subscales do not have added value over the total score.”
“If the ratio of these values, subscore over total score, exceed one, the subscore does not have added value and it is not recommended to use the subscore in statistical models.”
Three models called acceptable despite failing stated fit criteria
MinorThe methods specify an RMSEA of about 0.06 or below and say fit indices are considered in combination. The one-factor, two-factor, and tone models have RMSEAs of 0.103, 0.077, and 0.096, respectively; the one-factor model also has a TLI of 0.949, below the stated 0.95 criterion.
“The overall goodness-of-fit indices suggested that the one-factor, the two-factor and tone models have an acceptable fit (i.e. CFI ≥ 0.95, TLI ≥ 0.95, SRMR ≤0.08).”
“| One-factor | 50 | 124.84 | 35 | 0.960 | 0.949 | 0.103 (0.084–0.123) | 0.079 | | Two-factor | 51 | 82.19 | 34 | 0.979 | 0.972 | 0.077 (0.056–0.098) | 0.066 | | Tone-model | 51 | 109.88 | 34 | 0.966 | 0.955 | 0.096 (0.076–0.117) | 0.075 |”
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Self-citationA Digital Coach to Promote Emotion Regulation Skills
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Usability Study of a Multicomponent Exergame Training for Older Adults with Mobility Limitations
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The Use of Management Information Systems in Learning
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Measuring Usability on Mobile Education Game: the UMUX
Hastuti, I., Riadi, J., Ahmad, Y., Fauzan, R., Rizani, A., & Saberan (2024) · IIAI Letters on Informatics and Interdisciplinary Research · doi:10.52731/liir.v005.215 · Cited by 1 · see citing works
Feasibility and Usability of an Occupation-Based Immersive Virtual Reality Protocol for Older Adults
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PENGEMBANGAN APLIKASI MOBILE SISTEM INFORMASI PRODUK PERTANIAN KABUPATEN BULELENG
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- Authors
- Mol, M., van Schaik, A., Dozeman, E., Ruwaard, J., Vis, C., Ebert, D. D., Etzelmueller, A., Mathiasen, K., Moles, B., Mora, T., Pedersen, C. D., Skjøth, M. M., Pensado, L. P., Piera-Jimenez, J., Gokcay, D., Ince, B. Ü., Russi, A., Sacco, Y., Zanalda, E., Zabala, A. F., Riper, H., & Smit, J. H.
- Affiliations
- Amsterdam Public Health (NL)
- Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
- University of Southern Denmark (DK)
- Odense University Hospital (DK)
- AULSS 2 Marca Trevigiana (IT)
- Corresponding author
- Mol, Mayke
- ORCID
- Venue
- BMC Psychiatry
- Published
- 2020-05-12
- Volume
- 20
- Issue
- 1
- Pages
- 218-218
- ISSN
- 1471-244X (ISSN-L)
- PMC
- PMC7216472
- OpenAlex
- W3025136172
- Semantic Scholar
- 7c9bab4d2245f7c20228e25754458e99ae3fcd69
- Cited by
- 92
- References
- 47
- Citations by year
- 2026: 11 · 2025: 15 · 2024: 16 · 2023: 18 · 2022: 13 · 2021: 17 · 2020: 1 · 2019: 1
- FWCI
- 11.08
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- BMC Psychiatry (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Pure Amsterdam UMC (publishedVersion, other-oa)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion, other-oa)
- VU Research Portal (publishedVersion, other-oa)
- University of Southern Denmark Research Portal (University of Southern Denmark) (publishedVersion, cc-by)
- OPUS FAU (Kooperativer Bibliotheksverbund Berlin-Brandenburg (KOBV), on behalf of the Universitätsbibliothek Erlangen-Nürnberg) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- OpenMETU (Middle East Technical University) (submittedVersion, cc-by-nc-nd)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Funders
- European Commission (621000)
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Keywords
- System Usability Scale, usability measurement, internet-based cognitive behavioral therapy, depression, factor structure, bifactor model, convergent validity, reliability statistics, Client Satisfaction Questionnaire, mental health professionals, psychometric properties
- MeSH terms
- Internet-Based Intervention, Depression, Europe, Factor Analysis, Statistical, Humans, Psychometrics, Surveys and Questionnaires, Reproducibility of Results
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