Analysis of Variance

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Analysis of Variance

A process of determining similarities between like groups. Analysis of variance is used in marketing to determine how likely groups with similar demographic backgrounds are to respond to a particular campaign.
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Factorial ANOVA results indicated significant interaction effects for five of the seven dependent variables when severity, employment, and gender were considered, and MANOVA results indicated significant interaction for each cluster of dependent variables.
We examined attitudes toward the athlete by conducting factorial ANOVAs on the three indices of the attitude questionnaire (Approval Index, Athletic Ability Index, and the Impact on Attendance Index).
The results from the factorial ANOVA that examined the effects of in-school music experience and outside/private instruction on the level of comfort teaching and leading music in the classroom are presented in Table 7.
2]) for the one factorial ANOVA are used for testing:
A two-way factorial ANOVA (2 x 2) of the RCMAS Physiological subscale gain scores was conducted that compared treatment and control groups, and gender.
2] factorial ANOVA design described above, the experimental subjects were assigned at random to all possible combinations of the two factors.
The effects of density on the rate of consumption of the three prey species were evaluated through two-way factorial ANOVA.
However, the factorial ANOVA of variables reveals significant interaction effects of the variables on HIV risk avoidance in the four samples (F = 12.
The primary design was a 3 (Group) by 3 (Problem Type) factorial ANOVA.
The two main treatment variables investigated in the factorial ANOVA were teachers' conceptions of the nature of science (high vs.
Table 3 contains the mean scores on the Teacher Efficacy Scale and the results of the split-plot factorial ANOVA.