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Evaluating technology engagement in the time of Covid-19

The Technology Engagement Scale

Datos Bibliográficos

ID21453054
AutoresSilvia Serino (0000-0002-8422-1358, Università Cattolica del Sacro Cuore, autor de correspondencia), Andrea Bonanomi (0000-0003-2857-1430, Università Cattolica del Sacro Cuore), Lorenzo Palamenghi (0000-0002-8222-3915, Università Cattolica del Sacro Cuore), Cosimo Tuena (0000-0002-2039-9202, Applied Technology for NeuroPsychology Lab, IRCCS Istituto Auxologico Italiano, Milan, Italy), Guendalina Graffigna (0000-0003-4378-7467, Università Cattolica del Sacro Cuore), Giuseppe Riva (0000-0003-3657-106X, Applied Technology for NeuroPsychology Lab, IRCCS Istituto Auxologico Italiano, Milan, Italy)
Año2024
Volumen43
Número5
Páginas943-955
Fecha de publicación2024-04-03
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaBehaviour and Information Technology (JOURNAL)
Identificadores de la revistaISSN: 0144-929X • E-ISSN: 1362-3001
EditorialInforma UK Limited (PUBLISHER • GB)
DOI10.1080/0144929x.2023.2196572
OpenAlexW4376117714
IdiomaEN
Citas recibidas1
Referencias citadas46

Our lives have drastically changed during the COVID-19 pandemic. Information and communications technologies (ICTs) have replaced other media as the primary means of work, communication, expression, and entertainment throughout this time. As society's reliance on technology increases throughout and possibly after the pandemic, it is critical to fully understand the multifaceted nature of engagement with technology and develop reliable instruments capable of accurately evaluating its processual nature. Therefore, this study aimed at describing and psychometrically validating a novel instrument to measure the dynamics of engagement with technology, namely the Technology Engagement Scale (TES). Data were collected from a representative sample of 2021 participants in Italy. Results from both the confirmatory analysis and the Rasch model suggested the mono-dimensionality of the 5-item TES. Moreover, empirical ordinal alpha indicated a very good internal consistency. Findings provide also solid evidence for the convergent validity of the proposed instrument. Finally, it emerged that TES levels were able to predict the frequency of online activities during the COVID-19 pandemic. Globally, these findings suggest that the TES could be considered a reliable and valid tool, able to evaluate the complex process of engagement with technology in a simple, quick, and easy-to-administer manner

Convergent validity · Coronavirus disease 2019 (COVID-19) · Data science · Developmental psychology · Geography · Internal consistency · Knowledge management · Pandemic · Psychometrics · Rasch model · Sample (material) · Scale (ratio) · Applied Psychology · Computer Science · COVID-19 and Mental Health · Impact of Technology on Adolescents · Medicine · Psychology · Technology Adoption and User Behaviour

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Obras citantes distintas1
Citas por año1
Intervalo de citas2025 - 2025 (1)
Velocidad de citaciónrecent
Altamente citadoNo
Tipos de citaNeutras: 1
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