Self-report measure of dispositional flow experience in the video game context

Conceptualisation and scale development

Bibliographic Data

ID21643006
AuthorsXiaowei Cai (0000-0003-2033-617X, Universidad Pública de Navarra (UPNA), corresponding author), Javier Cebollada (0000-0001-8645-0456, Universidad Pública de Navarra (UPNA)), Monica Cortinas (0000-0002-7961-0148, Universidad Pública de Navarra (UPNA))
Year2022
Volume159
Pages102746
Publication date2022-03-01
Open AccessYes
TypeARTICLE
VenueInternational Journal of Human-Computer Studies (JOURNAL)
Journal identifiersISSN: 1071-5819 • E-ISSN: 1095-9300
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.ijhcs.2021.102746
OpenAlexW4200566022
LanguageEN
Citations received4
References cited80

The flow theory has been widely applied to explain video game players' gaming and purchasing behaviour. However, due to the conceptual and empirical flaws of the current measurement instruments, researchers can hardly apply them to measure dispositional flow experience of adult video game players. In this research, we conceptualised flow experience and developed its measurement instrument in the video game context. To achieve these objectives, we conducted five phases with different participants in each of them: conceptualisation of the constructs and item generation (n = 13), expert judging (n = 5), pre-test (n = 96), initial development and validation (n = 289), and advanced development and validation (n = 593). We applied both qualitative and quantitative analysis to conceptualise and measure flow experience of video game players, including grounded theory and several statistical tools of latent variable modelling. We obtained a scale of 28-items that performs well in the first-order model. Moreover, we tested three hierarchical structure of flow experience: unidimensional model, independent antecedent model, and hierarchical antecedent model. Results show that hierarchical antecedent model is the best structure to represent flow experience. We named our scale Video Game Dispositional Flow Scale (VGDFS)

Multimedia · Video game · Computer Science · Educational Games and Gamification · Flow Experience in Various Fields · Mathematics · Psychology · Social Psychology · Virtual Reality Applications and Impacts

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