User-Avatar discrepancy scale: a comparative measurement of self and avatar views
Taylor Brown,
Lukas Blinka,
Kara Dadswell,
Rachel Kowert,
Daniel Zarate and
Vasileios Stavropoulos
Behaviour and Information Technology, 2025, vol. 44, issue 9, 1907-1924
Abstract:
An avatar is one’s figure of representation within the virtual world. The user-avatar bond is suggested to carry information about who/how the person is in their real life. Discrepancies between an individual’s self and avatar perceptions have been associated with disordered gaming and reduced well-being, requiring assessment. Although several instruments purport to measure UAB, there is no targeted user-avatar discrepancy scale. To address this gap, the user-avatar views of 477 gamers aged between 11–21 years old (meanage = 16.39; SD = 1.6) were assessed across 15 dimensions, each defined by a pair of bipolar adjectives (e.g. strong-weak) rated on a seven-point scale. The optimum combination of scale items was concluded via a three-step validation procedure including (i) exploratory factor analysis, (ii) confirmatory factor analysis, and (iii) item response theory analysis. Findings supported a unifactorial user-avatar discrepancy measure composed of eight items, with social-desirability issues involving strength, physical abilities, and emotionality underpinning participants’ responses.
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/0144929X.2024.2381603 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:tbitxx:v:44:y:2025:i:9:p:1907-1924
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tbit20
DOI: 10.1080/0144929X.2024.2381603
Access Statistics for this article
Behaviour and Information Technology is currently edited by Dr Panos P Markopoulos
More articles in Behaviour and Information Technology from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().