Copyright Malvin Porter, Jr. 2010 - acumen - The University of ...

types of regression, collinearity is assumed to be relatively low, as it becomes difficult to
differentiate between the impact of several variables if they are highly correlated. The
multinomial logistic is used to model choices, and may in some situations impose too much
constraint on the relative preferences between the different alternative. This point is especially
important to take into account when predicting how CBS Prosocial or Aggressive with Peers
variables would change if one alternative was to disappear (for instance if the CBS Prosocial
with Peers variable is removed). The multinomial logistic may be used in such cases as they need
not violate the assumption of independence of irrelevant alternatives.
Does the difference in proportions of children’s CBVS Action Choices that are coded as
either Prosocial or Aggressive and CBVS Justification Choices that are coded as either
Prosocial/Care, Aggressive/Retribution, or Justice/Fair relate to participant child gender (e.g.,
male, female), Story Character Role (e.g., Bystander, Victim), Story Form of Victimization (e.g.,
Physical, Relational) and Bully/Victim Group Membership (e.g., Nonbully/Nonvictim, Victim,
Bully, Bully/Victim)? Demographic variables that may influence children’s responses for Action
Choices subscales were examined. They included a child participant’s gender, the character role
(e.g., Bystander, Victim) depicted in each story, the form of Victimization (e.g., Physical,
Relational) depicted in each story, and Bully/Victim Group Membership (e.g.,
Nonbully/Nonvictim, Victim, Bully, Bully/Victim).
Gender. A Chi-Square (Ҳ 2 ) test on independence was used to determine whether or not
there was a dependency between participant children’s gender and their CBVS Action Choices
and Justification Choices. Tests for differences in proportion were conducted to determine the
difference in frequency (ƒ) that males or females chose CBVS and children’s CBVS Action
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