Title |
On the dimensionality of the System Usability Scale: a test of alternative measurement models
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Published in |
Cognitive Processing, June 2009
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DOI | 10.1007/s10339-009-0268-9 |
Pubmed ID | |
Authors |
Simone Borsci, Stefano Federici, Marco Lauriola |
Abstract |
The System Usability Scale (SUS), developed by Brooke (Usability evaluation in industry, Taylor & Francis, London, pp 189-194, 1996), had a great success among usability practitioners since it is a quick and easy to use measure for collecting users' usability evaluation of a system. Recently, Lewis and Sauro (Proceedings of the human computer interaction international conference (HCII 2009), San Diego CA, USA, 2009) have proposed a two-factor structure-Usability (8 items) and Learnability (2 items)-suggesting that practitioners might take advantage of these new factors to extract additional information from SUS data. In order to verify the dimensionality in the SUS' two-component structure, we estimated the parameters and tested with a structural equation model the SUS structure on a sample of 196 university users. Our data indicated that both the unidimensional model and the two-factor model with uncorrelated factors proposed by Lewis and Sauro (Proceedings of the human computer interaction international conference (HCII 2009), San Diego CA, USA, 2009) had a not satisfactory fit to the data. We thus released the hypothesis that Usability and Learnability are independent components of SUS ratings and tested a less restrictive model with correlated factors. This model not only yielded a good fit to the data, but it was also significantly more appropriate to represent the structure of SUS ratings. |
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Geographical breakdown
Country | Count | As % |
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United States | 4 | 1% |
Germany | 3 | <1% |
Spain | 3 | <1% |
United Kingdom | 2 | <1% |
France | 2 | <1% |
Austria | 2 | <1% |
Australia | 1 | <1% |
United Arab Emirates | 1 | <1% |
Colombia | 1 | <1% |
Other | 3 | <1% |
Unknown | 289 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 60 | 19% |
Student > Ph. D. Student | 59 | 19% |
Student > Master | 55 | 18% |
Student > Bachelor | 20 | 6% |
Student > Postgraduate | 17 | 5% |
Other | 49 | 16% |
Unknown | 51 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 63 | 20% |
Psychology | 50 | 16% |
Engineering | 38 | 12% |
Medicine and Dentistry | 23 | 7% |
Social Sciences | 17 | 5% |
Other | 57 | 18% |
Unknown | 63 | 20% |