Self-report measure of dispositional flow experience in the video game context: Conceptualisation and scale development

Cai, Xiaowei; Cebollada, Javier; Cortiñas, Mónica

doi:10.1016/j.ijhcs.2021.102746

Cited by 17 publications

(22 citation statements)

References 75 publications

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“…The scales assessed in this study are useful tools for a variety of research purposes. They are also relevant to those studying flow in various aspects of life, including video games, which provide a safe yet compelling and variedly challenging environment for exploration ( Wang et al, 2009 ; Procci et al, 2012 ; Hamari and Koivisto, 2014 ; Gao and Lu, 2021 ; Gutierrez, 2021 ; Cai et al, 2022 ; Jogo et al, 2022 , etc.).…”

Section: Discussionmentioning

confidence: 99%

“…On the other hand, the level of involvement of the person and the autotelicity that this phenomenon generates lead researchers to look at flow in the context of processes that are desirable for learning, building motivation and engagement in the activities undertaken. The interest in flow in games can be evidenced by the numerous studies on the topic that have emerged in the last year alone ( Gao and Lu, 2021 ; Gutierrez, 2021 ; Cai et al, 2022 ; Jogo et al, 2022 , etc.).…”

Section: Introductionmentioning

confidence: 99%

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Validation of Polish Version of Dispositional Flow Scale-2 and Flow State Scale-2 Questionnaires

2022

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The aim of this study is to evaluate the psychometric properties of the Polish version of the Dispositional Flow Scale-2 (DFS-2) and Flow State Scale-2 (FSS-2), for use with Polish adults and young adults. Currently, there are no tools that would allow us to study flow among Polish speakers. At the same time, due to the great interest in flow and its potential importance for effectiveness, cooperation, and learning, it is worth ensuring that reliable validated measurement questionnaires are available for people studying the Polish population. Study participants completed 856 questionnaires, of which 496 individuals (with an average age of 36.31 years) participated in the DFS-2 study and 360 individuals (with an average age of 33.46 years) participated in the FSS-2 study. The maximum likelihood estimator (MLR) was selected for the CFA analysis. Model fit was assessed using: χ2, comparative fit index (CFI), Tucker-Lewis index (TLI), and standardized root mean square of residuals (SRMR), and root mean square of approximation error (RMSEA). For both questionnaires, formative first-level models with nine factors and second-level models with nine factors loaded on a higher-order flow factor were compared using the Satorra-Bentler Scaled difference χ2 test. The ω coefficient was used to estimate the reliability of the FFS-2 and DFS-2 models tested in the CFA method. Confirmatory factor analysis of both DFS-2 structural models showed satisfactory model fit. Most of the fit indices for the hierarchical 2nd order FSS-2 model presented satisfactory values, except for SRMR. Both DFS-2 and FSS-2 factors tested in the analysis showed good reliability (ω ≥ 0.7). Our findings confirmed the reliability and validity of the Polish versions of DFS-2 and FSS-2 scales. The scales are reliable when applied to Polish adults and young adults.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Validation of Polish Version of Dispositional Flow Scale-2 and Flow State Scale-2 Questionnaires

2022

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“…Consequently, several questionnaires were constructed in the long lasting endeavor of measuring flow (see Cai et al [4] for a review). However, with this rich selection of questionnaires, conceptual problems arise [4]. Although most models share certain properties, there is no consensus on one particular flow model.…”

Section: Introductionmentioning

confidence: 99%

“…Most notably the quantity of dimensions, as well as the existence of a higher-order factor, are still debated. Further, some of the dimensions are argued to be prerequisites to flow (i.e., Clear Goals, Challenge-skill Balance, and Unambiguous Feedback) [4,27]. To clean up some of these doubts Cai et al [4] conducted a literature review on flow in gaming and found that there is no valid measure for dispositional flow in the leisure game context suitable for adults, only for children and adolescents.…”

Section: Introductionmentioning

confidence: 99%

“…Further, some of the dimensions are argued to be prerequisites to flow (i.e., Clear Goals, Challenge-skill Balance, and Unambiguous Feedback) [4,27]. To clean up some of these doubts Cai et al [4] conducted a literature review on flow in gaming and found that there is no valid measure for dispositional flow in the leisure game context suitable for adults, only for children and adolescents. However, adults constitute the largest video game population, with 76% of players over the age of 18 [11].…”

Section: Introductionmentioning

confidence: 99%

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Independent Validation of the Video Game Dispositional Flow Scale With League of Legends Players

Felten¹,

Brühlmann²,

Perrig³

2022

Preprint

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Flow is a highly influential concept across many research domains.Because of the close links between enjoyment and flow, it is also acentral concept in game research. Accordingly, many measurementinstruments in the form of questionnaires have been developedto measure flow in video games. However, limited independentvalidation work has been carried out to date. In this project, weevaluated the recently developed Video Game Dispositional FlowScale (VGDFS) in the context of League of Legends. An online survey posted on the online community reddit.com yielded a sampleof N = 140. Confirmatory factor analysis did not support the originally proposed structure. Subsequent exploratory factor analysisresulted in inconclusive findings. Convergent validity with otherquestionnaires for the measurement of interest, enjoyment, and flowcould be demonstrated in our data, although with unusually highcorrelations between the VGDFS and another flow measure. Fordivergent validity, correlations with questionnaires for the measurement of boredom and trait anxiety in the hypothesized directioncould be found. Findings suggest that the VGDFS needs furtherevaluation in different video game contexts while also hinting atmeasurement problems possibly related to conceptual issues withflow.

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Simulations for Learning in Complex Scenarios: Students’ Most Valued Elements

Pacheco-Velázquez,

Rodés-Paragarino

2024

Lecture Notes in Educational Technology

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Self-report measure of dispositional flow experience in the video game context: Conceptualisation and scale development

Cited by 17 publications

References 75 publications

Validation of Polish Version of Dispositional Flow Scale-2 and Flow State Scale-2 Questionnaires

Validation of Polish Version of Dispositional Flow Scale-2 and Flow State Scale-2 Questionnaires

Independent Validation of the Video Game Dispositional Flow Scale With League of Legends Players

Simulations for Learning in Complex Scenarios: Students’ Most Valued Elements

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