Page 188 - Quantitative Data Analysis

Quantitative Data Analysis
Simply Explained Using SPSS

1. Parenting_style (b = .062, β=.194, t = 4.93, p < .001)
significantly predicted aggression. The beta value indicates
that as parenting increases (i.e. as bad practices increase),
aggression increases also.
2. Sibling_aggression (b = .086, β= .088, t = 2.26, p < .05)
significantly predicted aggression. The beta value indicates
that as sibling aggression increases (became more
aggressive), aggression increases also.
3. Computer_games (b = .143, β= .153, t = 3.89, p < .001)
significantly predicted aggression. The beta value indicates
that as the time spent playing computer games increases,
aggression increases also.
4. Good_Diet (b = -.112, β =-.118, t = -2.95, p < .01)
significantly predicted aggression. The beta value indicates
that as the diet improved, aggression decreased.
5. Watching_Television did not significantly predict aggression
so it did not contribute to regression model. (See Table:
Excluded Variables)
Based on the standardized coefficients beta, it is found that the
most substantive predictor of aggression was parenting style,
followed by computer games, diet and then sibling aggression. The
regression equation is given in the following:

Ў = -.006 + .062 (Parenting_style) + .086 (Sibling_aggression) + .143

(Computer_games) – .112 (Good_diet)

The Theory and Applications of Statistical Inferences 172