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Violent media content and aggressiveness in adolescents: A negative feedback-loop model
Unformatted Document Text:  A negative feedback-loop model page 13 media content use. We opted to test the path from violent media content use to aggressiveness last, as it is the most potentially controversial finding and, we believed, therefore deserved the most conservative test. Results Measurement Model In the measurement model, all factor variances were set to unity, and errors for each indicator variable were set to covary over time, as is standard practice with structural equation analyses of longitudinal data (e.g., Newcomb, Scheier & Bentler, 1993). These correlated errors were examined using the LaGrange Multiplier test, which indicated that inclusion of these correlated errors in the model was appropriate, with the exception of the correlation of the error of the aggression behavior indicator from time 1 to time 2, which was then removed. Using maximum-likelihood estimation, the fit of the measurement model was good: χ 2 (151) = 415.889, CFI = .957, RMSEA = .052. For the aggressiveness factors, all standardized factor loadings for cognition, values, and behavior were above .75, while standardized factor loadings for indicators on the violent media content use factors were all above .54. Correlations among latent factors were generally high. Violent media content use factors were highly correlated across time (.73-.81, p<.05), while correlations of aggressiveness factors were somewhat lower across time (.44-.54, p<.05). Aggressiveness and violent media content use were also correlated. Within time correlations ranged from .38 to .42, p<.05, while across time correlations ranged from .22 to .42, p<.05. Correlations between sensation seeking and aggressiveness ranged from .30 to .39, p<.05, and correlations between sensation seeking and violent media content

Authors: Slater, Michael., Swaim, Randall. and Anderson, Lori.
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A negative feedback-loop model page 13
media content use. We opted to test the path from violent media content use to
aggressiveness last, as it is the most potentially controversial finding and, we believed,
therefore deserved the most conservative test.
Results
Measurement Model
In the measurement model, all factor variances were set to unity, and errors for
each indicator variable were set to covary over time, as is standard practice with
structural equation analyses of longitudinal data (e.g., Newcomb, Scheier & Bentler,
1993). These correlated errors were examined using the LaGrange Multiplier test, which
indicated that inclusion of these correlated errors in the model was appropriate, with the
exception of the correlation of the error of the aggression behavior indicator from time 1
to time 2, which was then removed. Using maximum-likelihood estimation, the fit of the
measurement model was good:
χ
2
(151) = 415.889, CFI = .957, RMSEA = .052. For the
aggressiveness factors, all standardized factor loadings for cognition, values, and
behavior were above .75, while standardized factor loadings for indicators on the violent
media content use factors were all above .54.
Correlations among latent factors were generally high. Violent media content use
factors were highly correlated across time (.73-.81, p<.05), while correlations of
aggressiveness factors were somewhat lower across time (.44-.54, p<.05).
Aggressiveness and violent media content use were also correlated. Within time
correlations ranged from .38 to .42, p<.05, while across time correlations ranged from .22
to .42, p<.05. Correlations between sensation seeking and aggressiveness ranged from
.30 to .39, p<.05, and correlations between sensation seeking and violent media content


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