Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Entertainment Comput...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Entertainment Computing
Article . 2016 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
DBLP
Article . 2020
Data sources: DBLP
versions View all 2 versions
addClaim

The emerging adolescent World of Warcraft video gamer: A five factor exploratory profile model

Authors: Anthony M. Bean; Lauren S. Ferro; Joao Ricardo Nickenig Vissoci; Thiago Rivero; Gary Groth-Marnat;

The emerging adolescent World of Warcraft video gamer: A five factor exploratory profile model

Abstract

Abstract This exploratory study discovered personality patterns among emerging adults (EA; aged 18–25) who played World of Warcraft (WoW). The authors examined differences between the 44-item personality measure Big Five Inventory (BFI) and emerging adult play style and specialization of WoW players through latent profile analysis (LPA). The authors focused on the specifics of participant’s play style (Player VS Player, Player VS Environment, or Role-Playing), specialization of character (Tank, Healer, Damage), and whether EA WoW video gamers met criteria for an antisocial personality profile (see Markey and Markey, 2010). A total of 465 EA WoW players, participated in the study. The author’s findings, based on LPA, discovered profiles amongst the participants utilizing ANOVAs to statistically investigate differences. The authors found the following three different main profiles overall across play styles and specialization: Extroversive, Introversive, and Ambiversive. This study asserts personality may play a role in understanding the video gamer and there may be at least three personality types of gamers who play World of Warcraft (WoW). Furthermore, there was no support for antisocial personality scores of EAs in WoW players when compared to suggested markers of antisocial personality factors (see Bean and Groth-Marnat, 2014; Markey and Markey, 2010).

Country
Brazil
Keywords

Video games, Personality of video gamers, Youth, Violent video gamers, World of Warcraft, 796

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    12
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Top 10%
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!