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The Online Flow Questionnaire: An Item Response Theory Examination
Vasileios Stavropoulos1,2, Trent Footitt1, Daniel Zarate1
1Health and Biomedicine, Victoria University, Footscray, Australia.
Cyberpsychology, Behavior and Social Networking
|October 31, 2022
Summary
This study used Item Response Theory to analyze the Online Flow Questionnaire (OFQ) in high school students. Findings suggest the OFQ is a generally acceptable measure of online flow, but may need revision for extreme scores.
Area of Science:
- Psychology
- Educational Technology
- Internet Studies
Background:
- Online flow, an individual's engagement in internet activities, impacts cyberhealth and online education.
- Excessive internet use is also linked to online flow.
- The Online Flow Questionnaire (OFQ) is a tool for assessing this phenomenon.
Purpose of the Study:
- To investigate the optimal measurement of online flow using Item Response Theory (IRT).
- To determine cutoff points for the Online Flow Questionnaire (OFQ).
Main Methods:
- Item Response Theory (IRT) analysis was applied to data from 1579 Greek high school students.
- The Online Flow Questionnaire (OFQ) was administered to participants.
Main Results:
- OFQ items demonstrated varying discrimination and difficulty levels within acceptable ranges.
- A cutoff score of 5 on the OFQ indicated extremely high online flow experiences.
- The OFQ generally functions as an acceptable measure of overall online flow.
Conclusions:
- The OFQ is a suitable indicator of online flow but may not capture variability at the extreme ends of the spectrum.
- Future revisions, possibly using computerized adaptive tests, could improve the OFQ's utility in detecting extreme online flow experiences.
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