Cai, Xiaowei

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https://academica-e.unavarra.es/handle/2454/48778

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Cai

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Xiaowei

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Gestión de Empresas

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INARBE. Institute for Advanced Research in Business and Economics

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751423

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Author: Cortiñas Ugalde, Mónica × Subject: Flow experience ×

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    PublicationOpen Access
    Self-report measure of dispositional flow experience in the video game context: conceptualisation and scale development
    (Elsevier, 2022) Cai, Xiaowei; Cebollada Calvo, Javier; Cortiñas Ugalde, Mónica; Enpresen Kudeaketa; Institute for Advanced Research in Business and Economics - INARBE; Gestión de Empresas; Universidad Pública de Navarra / Nafarroako Unibertsitate Publikoa
    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).