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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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