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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 21 to 7, representing extremely tall. Girth was judged on a scale of 1, representing extremely thin, to 7, representing extremely overweight. Attractiveness was judged on a scale of 1, representing extremely unattractive, to 7, representing extremely attractive. The participants’ photographs were assigned to the raters randomly. We relied on Cronbach’s (1951) alpha to determine inter- rater reliability. Coding data that yielded an alpha of .70 or higher were averaged together to create indices. In addition to coding, the photograph of each participant was measured using fabric rulers. Raters took measurements, in millimeters, of chest, waist, and hip sizes and heights of the photographs as they appeared on a computer screen. Measurements that yielded an alpha of .70 or higher were averaged together to create indices. Once the participant metrics were obtained, the raters focused on the avatar metrics. In the same way that the participant photographs had been rated and measured, the corresponding avatar screenshots were also rated and measured using the same methods and criteria. The same eight metric measures were obtained: attractiveness, skin tone, girth, chest, waist, hips, and height (both rated and measured). Again, scores and measurements that produced an alpha of .70 or better were averaged together to create indices. Rated and measured values for participant pictures were subtracted from the rated and measured values for their corresponding avatar screenshots. Thus, ultimately, eight avatar- participant difference metrics were obtained. And these difference metrics would serve as the primary dependent variables (see Table 1 below). Results

Authors: Dunn, Robert. and Guadagno, Rosanna.
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GENDER, RACE, GAMING, AND AVATAR SELECTION                                                     21
to 7, representing extremely tall. Girth was judged on a scale of 1, representing extremely thin, to 
7, representing extremely overweight. Attractiveness was judged on a scale of 1, representing 
extremely unattractive, to 7, representing extremely attractive. The participants’ photographs 
were assigned to the raters randomly. We relied on Cronbach’s (1951) alpha to determine inter-
rater reliability. Coding data that yielded an alpha of .70 or higher were averaged together to 
create indices. 
In addition to coding, the photograph of each participant was measured using fabric 
rulers. Raters took measurements, in millimeters, of chest, waist, and hip sizes and heights of the 
photographs as they appeared on a computer screen. Measurements that yielded an alpha of .70 
or higher were averaged together to create indices.
Once the participant metrics were obtained, the raters focused on the avatar metrics. In 
the same way that the participant photographs had been rated and measured, the corresponding 
avatar screenshots were also rated and measured using the same methods and criteria. The same 
eight metric measures were obtained: attractiveness, skin tone, girth, chest, waist, hips, and 
height (both rated and measured). Again, scores and measurements that produced an alpha of .70 
or better were averaged together to create indices.
Rated and measured values for participant pictures were subtracted from the rated and 
measured values for their corresponding avatar screenshots. Thus, ultimately, eight avatar-
participant difference metrics were obtained. And these difference metrics would serve as the 
primary dependent variables (see Table 1 below).

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