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Video Game Uses and Gratifications as Predictors of Use and Game Preference
Unformatted Document Text:  Video game U&G 13 Factor Analysis for Parallelism. Subsequent to internal consistency analysis, the homogenous set of items were also factor analyzed for parallelism (Hunter, 1980). The parallelism theorem states that “… if two variables are measures of the same thing, then not only should they correlate with each other, but they should correlate in a similar manner with other things.” (Hunter, 1980, p. 247). Stated mathematically, the correlation between indicators of two separate constructs is the product of their factor loadings and the correlation between the constructs. All items were subjected to factor analysis for parallelism in which the predicted correlations were compared with the obtained correlations to determine if they were within sampling error of each other. A test of significance, represented as χ 2 is also available and the results are presented in Table 1. Factor analysis reduced the total instrument to 27 items. The 27-item scale was pretested in two introductory research methodology classes (n = 54) where respondents were questioned about the clarity of the items. Finally, the items were subjected to an additional internal consistency and parallelism factor analysis on the survey data reported in Study 2 (n = 550). The final analysis resulted in a 23-item scale representing six U&G dimensions (see Table 1). Study 2 The purpose of the second study is to examine the relationships among uses and gratifications, genre preferences, and amount of video game use. First, the study will explore three research questions: R1: What are the most popular genres of video games among the sample? R2: What are the most important motivations for using video games (uses and gratifications)?

Authors: Sherry, John. and Lucas, Kristen.
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Video game U&G 13
Factor Analysis for Parallelism. Subsequent to internal consistency analysis, the homogenous set
of items were also factor analyzed for parallelism (Hunter, 1980). The parallelism theorem states
that “… if two variables are measures of the same thing, then not only should they correlate with
each other, but they should correlate in a similar manner with other things.” (Hunter, 1980, p.
247). Stated mathematically, the correlation between indicators of two separate constructs is the
product of their factor loadings and the correlation between the constructs. All items were
subjected to factor analysis for parallelism in which the predicted correlations were compared
with the obtained correlations to determine if they were within sampling error of each other. A
test of significance, represented as
χ
2
is also available and the results are presented in Table 1.
Factor analysis reduced the total instrument to 27 items. The 27-item scale was pretested
in two introductory research methodology classes (n = 54) where respondents were questioned
about the clarity of the items. Finally, the items were subjected to an additional internal
consistency and parallelism factor analysis on the survey data reported in Study 2 (n = 550). The
final analysis resulted in a 23-item scale representing six U&G dimensions (see Table 1).
Study 2
The purpose of the second study is to examine the relationships among uses and
gratifications, genre preferences, and amount of video game use. First, the study will explore
three research questions:
R1: What are the most popular genres of video games among the sample?
R2: What are the most important motivations for using video games (uses and
gratifications)?


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