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Stavropoulos, V, Footitt, T, Zarate, D, Prokofieva, M and Griffiths, MD 
ORCID: https://orcid.org/0000-0001-8880-6524,
2022.
The Online Flow Questionnaire: an Item Response Theory examination.
Cyberpsychology, Behavior, and Social Networking, 25 (12), pp. 793-801.
ISSN 2152-2715
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Abstract
Online flow refers to the rate of an individual's absorbance in an Internet activity in which they are engaged. It has been implicated with both the effectiveness of cyberhealth and online education applications, as well as excessive Internet use. One way of assessing it is the Online Flow Questionnaire (OFQ). Consequently, this study investigated the optimum measurement of online flow, as well as OFQ cutoff points, using Item Response Theory (IRT). A large sample of high school students from Greece (N = 1579, Mage = 16.12, SDage = 0.85; 50.5 percent females) completed the OFQ and the data were analyzed using IRT procedures. The analysis indicated that items in the OFQ possess differing levels of discrimination and difficulty, although all items were generally within acceptable ranges. An OFQ cutoff score of 5 represented an extremely high level of online flow experiences. The findings suggest that the OFQ generally functions as an acceptable marker of overall online flow. However, the current format of the OFQ appears to inhibit its ability to detect variability at the extreme low and high ends of the latent trait in the population assessed. Future revisions (potentially employing computerized adaptive tests) of the OFQ response format may enhance its utility.
| Item Type: | Journal article |
|---|---|
| Publication Title: | Cyberpsychology, Behavior, and Social Networking |
| Creators: | Stavropoulos, V., Footitt, T., Zarate, D., Prokofieva, M. and Griffiths, M.D. |
| Publisher: | Mary Ann Liebert Inc |
| Date: | 28 October 2022 |
| Volume: | 25 |
| Number: | 12 |
| ISSN: | 2152-2715 |
| Identifiers: | Number Type 10.1089/cyber.2022.0031 DOI 1615357 Other |
| Rights: | Copyright 2022, Mary Ann Liebert, Inc., publishers This is the accepted version of the following article: 'Vasileios Stavropoulos, Trent Footitt, Daniel Zarate, Maria Prokofieva, and Mark D. Griffiths.The Online Flow Questionnaire: An Item Response Theory Examination.Cyberpsychology, Behavior, and Social Networking.ahead of print http://doi.org/10.1089/cyber.2022.0031', which has now been formally published in final form at Cyberpsychology, Behavior, and Social Networking at http://doi.org/10.1089/cyber.2022.0031. This original submission version of the article may be used for non-commercial purposes in accordance with the Mary Ann Liebert, Inc., publishers’ self-archiving terms and conditions. |
| Divisions: | Schools > School of Social Sciences |
| Record created by: | Jeremy Silvester |
| Date Added: | 04 Nov 2022 13:05 |
| Last Modified: | 09 Dec 2022 11:25 |
| URI: | https://irep.ntu.ac.uk/id/eprint/47334 |
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