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Hiding or Priding? A Study of Gender, Race, and Gamer Status and Context on Avatar Selection
Unformatted Document Text:  GENDER, RACE, GAMING, AND AVATAR SELECTION 22 We conducted a series of multivariate analyses of variance (MANOVA) to determine the effects of experimental game context, gender, race and online gamer status on the eight avatar selection metrics. Avatar-Participant Difference Metrics A MANOVA revealed no significant differences based on game context for the eight avatar metrics. Thus, neither H1a nor H1b were supported. The MANOVA also revealed a significant main effect of online-gamer status on all eight of the metrics (Lambda(8,153) = .85, p = .002, η p 2 = .15). Subsequent univariate ANOVAs revealed this effect was driven by a subset of our metrics. Specifically, online-gamer status had a significant main effect on avatar-participant attractiveness differences, F(1,160) = 6.97, p = .01, η p 2 = .04. Online gamers (M = .89, SD = 1.94) selected more attractive avatars than those who did not play games online did (M = -.12, SD = 1.81). Online-gamer status also had a significant main effect on avatar-participant girth differences, F(1,160) = 5.14, p = .03, η p 2 = .03. Online gamers (M = -.65, SD = 1.77) selected thinner avatars than those who did not play games online did (M = -.15, SD = 1.75). And online-gamer status had a significant main effect on avatar- participant height differences, F(1,160) = 7.15, p = .01, η p 2 = .04. Online gamers (M = -.37, SD = 1.48) selected taller avatars than those who did not play games online did (M = -.57, SD = 1.51). Thus, online gamers were more likely to select alter-self avatars. Therefore, H2 is supported. The MANOVA also revealed a significant main effect for participant gender on all eight of the metrics (Lambda(8,153) = .86, p = .002, η p 2 = .14). Subsequent univariate ANOVAs revealed gender had a significant main effect on avatar-participant height differences, F(1,160) = 4.61, p = .03, η p 2 = .03. Men (M = -.80, SD = 1.62) selected shorter avatars than women (M =

Authors: Dunn, Robert. and Guadagno, Rosanna.
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GENDER, RACE, GAMING, AND AVATAR SELECTION                                                     22
We conducted a series of multivariate analyses of variance (MANOVA) to determine the 
effects of experimental game context, gender, race and online gamer status on the eight avatar 
selection metrics. 
Avatar-Participant Difference Metrics
A MANOVA revealed no significant differences based on game context for the eight 
avatar metrics. Thus, neither H1a nor H1b were supported.
The MANOVA also revealed a significant main effect of online-gamer status on all eight 
of the metrics (Lambda(8,153) = .85, p = .002, 
η
p
= .15). Subsequent univariate ANOVAs 
revealed this effect was driven by a subset of our metrics. Specifically, online-gamer status had a 
significant main effect on avatar-participant attractiveness differences, F(1,160) = 6.97, p = .01, 
η
p
= .04. Online gamers (= .89, SD = 1.94) selected more attractive avatars than those who 
did not play games online did (= -.12, SD = 1.81). Online-gamer status also had a significant 
main effect on avatar-participant girth differences, F(1,160) = 5.14, p = .03, 
η
p
= .03. Online 
gamers (= -.65, SD = 1.77) selected thinner avatars than those who did not play games online 
did (= -.15, SD = 1.75). And online-gamer status had a significant main effect on avatar-
participant height differences, F(1,160) = 7.15, p = .01, 
η
p
= .04. Online gamers (= -.37, SD = 
1.48) selected taller avatars than those who did not play games online did (= -.57, SD = 1.51). 
Thus, online gamers were more likely to select alter-self avatars. Therefore, H2 is supported.
The  MANOVA also revealed a significant main effect for participant gender on all eight 
of the metrics (Lambda(8,153) = .86, p = .002, 
η
p
= .14). Subsequent univariate ANOVAs 
revealed gender had a significant main effect on avatar-participant height differences, F(1,160) = 
4.61, p = .03, 
η
p
= .03. Men (= -.80, SD = 1.62) selected shorter avatars than women (


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