The DOI matches its Crossref record; 82 of the 82 references it cites were found in a registry or an index.
Player Identification in Online Games: Validation of a Scale for Measuring Identification in MMOGs
Abstract
This article proposes a scale for measuring player identification in massively multiplayer online games (MMOGs). Three dimensions have been derived from the literature, avatar identification, group identification, and game identification, whereby avatar identification is a second-order factor consisting of similarity identification, wishful identification, and embodied presence. Based on the results of a cross-sectional survey of 544 World of Warcraft players, the measurement instrument's proposed factorial structure was confirmed and the constructs were successfully tested for convergent validity. Subsequently, support for nomological validity was gathered by testing nine theoretically rooted hypotheses linking the identification constructs to motivations for playing MMOGs. The results show that avatar identification is positively associated with roleplay, customization, and escapism; group identification with socializing and relationship; and game identification with escapism, discovery, advancement, and mechanics. These findings indicate that the Player Identification Scale provides a reliable measure of identification in online games ready to be used and further validated in subsequent research.
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Cites
Situated Learning: Legitimate Peripheral Participation.
Bloch, M., Lave, J., & Wenger, E. (1994) · Man · doi:10.2307/2804509 · Cited by 39,454
Herne, H., Cooley, W. W., & Lohnes, P. R. (1973) · Journal of the Royal Statistical Society. Series A (General) · doi:10.2307/2344428 · Cited by 35,697
Situated Learning: Legitimate Peripheral Participation
Lave, J., & Wenger, E. (1991) · Cambridge University Press eBooks · doi:10.1017/cbo9780511815355 · Cited by 35,324
Qu, X. (2007) · Technometrics · doi:10.1198/tech.2007.s455 · Cited by 14,705
(1999) · Cited by 7,995
Self-discrepancy: A theory relating self and affect.
Higgins, E. T. (1987) · Psychological Review · doi:10.1037/0033-295x.94.3.319 · Cited by 7,219
Convergence Culture: Where Old and New Media Collide
Jenkins, H., & Plasencia, A. (2017) · Is the Universe a Hologram? · doi:10.7551/mitpress/9780262036016.003.0012 · Cited by 6,944
Reliability and Validity Assessment
Carmines, E., & Zeller, R. (1979) · doi:10.4135/9781412985642 · Cited by 5,884 · cited 1×
“…be said, however, that construct validity cannot be established by a single study, but needs to be repeated by a series of studies applying the proposed measures in different contexts, relating them to various other construct measures within the same nomological network (Carmines & Zeller, 1979).”
BackgroundConvergence Culture: Where Old and New Media Collide
Carbonell, C. (2007) · The Journal of Popular Culture · doi:10.1111/j.1540-5931.2007.00435.x · Cited by 5,530
Reliability and Validity Assessment
(2011) · The Encyclopedia of Political Science · doi:10.4135/9781608712434.n1341 · Cited by 5,040
Research works printed but not linked: 16
- Bandura A., 1986, Social foundations of thought and action: A social cognitive theory
- Bartle R., 1996, MUSE
- Blizzard Entertainment, 2004, World of Warcraft [Computer game]
- Byrne B., 2001, Structural equation modeling with Amos
- De Vocht M., 2011, Tijdschrift voor Communicatiewetenschap (Journal for Communication Science), 39, 44
- 10.1037/0012-1649.20.5.746 · doi:10.1037/0012-1649.20.5.746 · Paper page
- 10.1111/j.1468-2885.2005.tb00334.x · doi:10.1111/j.1468-2885.2005.tb00334.x · Paper page
- Kenny D. A., 2011, Measuring model fit.
- Klimmt, C. Dimensions and determinants of the enjoyment of playing digital games: A three-level model. Paper presented at the Level Up: Digital Games Research Conference. Utrecht, the Netherlands. November.
- Minsky M., 1980, Omni, 2, 45
- Mortensen T. E., 2003, Pleasures of the player: Flow and control in online games
- Utz S., 2000, Journal of Online Behavior, 1
- Van Looy J., 2009, Eludamos. Journal for Computer Game Culture, 3, 10.7557/23.5995 · doi:10.7557/23.5995
- Van Looy J., 2010, Understanding computer game culture: The cultural shaping of a new medium
- Wilson T., 1993, Watching television: Hermeneutics, reception and popular culture
- Zillmann D., 2006, Psychology of entertainment, 215
Cited by
Boyle, E. A., Hainey, T., Connolly, T. M., Gray, G., Earp, J., Ott, M., Lim, T., Ninaus, M., Ribeiro, C., & Pereira, J. (2016) · Computers & Education · doi:10.1016/j.compedu.2015.11.003 · Cited by 1,133
Reducing Mental Health Stigma Through Identification With Video Game Avatars With Mental Illness
Ferchaud, A., Seibert, J., Sellers, N., & Escobar Salazar, N. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.02240 · Cited by 67
Rheu, M. (., Jang, Y., & Peng, W. (2020) · Games for Health Journal · doi:10.1089/g4h.2018.0134 · Cited by 49
Zarei, N., Chu, S. L., Quek, F., Rao, N. '., & Brown, S. A. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376331 · Cited by 30
Metadata
- Authors
- Van Looy, J., Courtois, C., De Vocht, M., & De Marez, L.
- Venue
- Media Psychology
- Publisher
- Informa UK Limited
- Published
- 2012-05-18
- Volume
- 15
- Issue
- 2
- Pages
- 197-221
- ISSN
- 1521-3269 (ISSN-L)
- 1532-785X
- OpenAlex
- W1972995154
- Cited by
- 278
- References
- 82
- FWCI
- 25.38
- Type
- journal article
- Language
- en
- Open access
- closed
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