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The variables and the p-values for the main effect of age for the five separate ANOVAs are summarized in the Table below: Variable P-value Relatedness
The variables and the p-values for the main effect of age for the five separate ANOVAs are summarized in the Table below:
Variable | P-value |
Relatedness | p < 0.001 |
Activation of central values | p < 0.001 |
Competence/Personal growth | p < 0.05 |
Purpose in life/Self-acceptance | p < 0.05 |
Autonomy | p < 0.01 |
Given the potential for Type I error inflation, would you consider the results of all five ANOVAs to be statistically significant?
What are the general advantages and disadvantages of performing a MANOVA on a set of dependent variables and then performing a separate ANOVA for each dependent variable?
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