Exam 17: Multivariate Analysis of Variance Manova

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Which of the following is the most appropriate explanation of the total cross-product (CPR)?

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Which of the following is the most appropriate explanation of the total cross-product (CPT)?

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Because a MANOVA works on the basis of using several values to assess statistical significance it achieves this by converting dependent variables (e.g. trait and state anxiety) into underlying dimensions (i.e. discriminant function). What are the linear combinations of the dependent variables known as? (You may select more than one option.)

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Based on the results presented in Q18, what would be the most appropriate test statistic to use?

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Having obtained a significant result from a MANOVA, how would the data be examined further?

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