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Psychometric Properties of the Spanish Full and Short Forms of the System Usability Scale (SUS): Detecting the Effect of Negatively Worded Items.

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Title: Psychometric Properties of the Spanish Full and Short Forms of the System Usability Scale (SUS): Detecting the Effect of Negatively Worded Items.
Authors: Castilla, Diana (AUTHOR), Jaen, Irene (AUTHOR), Suso-Ribera, Carlos (AUTHOR), Garcia-Soriano, Gemma (AUTHOR), Zaragoza, Irene (AUTHOR), Breton-Lopez, Juani (AUTHOR), Mira, Adriana (AUTHOR), Diaz-Garcia, Amanda (AUTHOR), Garcia-Palacios, Azucena (AUTHOR)
Source: International Journal of Human-Computer Interaction. Aug2024, Vol. 40 Issue 15, p4145-4151. 7p.
Subjects: Cronbach's alpha, Psychometrics, Spaniards
Abstract: This study examined the SUS's psychometric properties with the Spanish population considering the plausible method effects associated with negatively worded items. A short form consisting of either direct or reversed items was also examined. Participants were 1321 Spaniards who completed the SUS. Confirmatory analyses showed that the SUS was a valid measure with a one-factor structure when method errors associated with negatively worded items were considered (CFI =.932, TLI =.898; RMSEA =.055, CI 90% = 0.047, 0.062), and shown evidence of reliability (Cronbach's alpha =.76). The short version with only positively worded items also showed to be a valid (CFI =.973, TLI =.946; RMSEA =.057, CI 90% =.041,.075) and reliable measure (Cronbach alpha =.77) to assess usability. This is the first study to clarify the effect of negatively worded items in the structure of the SUS and propose a short version of the SUS to be used with Spaniards when a brief version is preferred to test usability. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Label: Title
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  Data: Psychometric Properties of the Spanish Full and Short Forms of the System Usability Scale (SUS): Detecting the Effect of Negatively Worded Items.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Human-Computer+Interaction%22">International Journal of Human-Computer Interaction</searchLink>. Aug2024, Vol. 40 Issue 15, p4145-4151. 7p.
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  Data: <searchLink fieldCode="DE" term="%22Cronbach's+alpha%22">Cronbach's alpha</searchLink><br /><searchLink fieldCode="DE" term="%22Psychometrics%22">Psychometrics</searchLink><br /><searchLink fieldCode="DE" term="%22Spaniards%22">Spaniards</searchLink>
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  Label: Abstract
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  Data: This study examined the SUS's psychometric properties with the Spanish population considering the plausible method effects associated with negatively worded items. A short form consisting of either direct or reversed items was also examined. Participants were 1321 Spaniards who completed the SUS. Confirmatory analyses showed that the SUS was a valid measure with a one-factor structure when method errors associated with negatively worded items were considered (CFI =.932, TLI =.898; RMSEA =.055, CI 90% = 0.047, 0.062), and shown evidence of reliability (Cronbach's alpha =.76). The short version with only positively worded items also showed to be a valid (CFI =.973, TLI =.946; RMSEA =.057, CI 90% =.041,.075) and reliable measure (Cronbach alpha =.77) to assess usability. This is the first study to clarify the effect of negatively worded items in the structure of the SUS and propose a short version of the SUS to be used with Spaniards when a brief version is preferred to test usability. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Aug2024
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