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Psychometric analysis of a measure of acceptance of new technologies (UTAUT), applied to the use of haptic virtual simulators in dental students
Author(s) -
González Bravo Luis,
Fernández Sagredo Marcelo,
Torres Martínez Pilar,
Barrios Penna Carolina,
Fonseca Molina Juan,
Stanciu Ionut Dorin,
Nistor Nicolae
Publication year - 2020
Publication title -
european journal of dental education
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.583
H-Index - 41
eISSN - 1600-0579
pISSN - 1396-5883
DOI - 10.1111/eje.12559
Subject(s) - confirmatory factor analysis , unified theory of acceptance and use of technology , reliability (semiconductor) , construct validity , expectancy theory , structural equation modeling , psychology , haptic technology , measure (data warehouse) , scale (ratio) , construct (python library) , applied psychology , computer science , psychometrics , simulation , social psychology , clinical psychology , machine learning , data mining , power (physics) , physics , quantum mechanics , programming language
Background The aims of this study are (a) to assess the psychometric quality of an instrument of acceptance of new technologies adapted from the UTAUT model, (b) to validate the UTAUT model as a valid measure to be applied in dental education, and (c) to determine which factors of the UTAUT model predict the behavioural intention of using a haptic virtual simulator (HVS). Methods A cross‐sectional design study with a sample of 265 dentistry students was carried out. Results Using structural equation modelling, confirmatory factor analysis verified the adequacy of four‐factor model, although the only factor that directly predicts behavioural intention is performance expectancy. Internal consistency coefficients of each factor ranged from 0.800 to 0.969. Discussion These findings, as well as the predictive power of performance expectancy on behaviour intention, are in line with previous evidence found in the literature. Conclusion These findings suggest that the UTAUT scale has adequate reliability and construct factorial validity; therefore, UTAUT model could be a valuable approach to assess haptic virtual simulator acceptance in dental education.