Question

11. One-way multivariate analysis of variance (MANOVA) is utilized to simultaneously study two or more related IVs, while controlling for the correlations among the IVs. 12. One-way multivariate analysis of covariance (MANCOVA) investigates group differences among several IVs, while also controlling for covariates that may influence the DVs 13. Factorial multivariate analysis of variance (factorial MANOVA) extends MANOVA to research scenarios with two or more DVs that are categorical. 14. Factorial multivariate analysis of covariance (MANCOVA) extends factorial MANCOVA to research scenarios that require the adjustment of one or more covariates on the IV 15. The primary purpose of predicting group membership is to identify specific IVs that best predict group membership as defined by the IVs. 16. Discriminant analysis and logistic regression are appropriate statistical techniques when the DV is categorical 17. Discriminant analysis seeks to identify which combination of quantitative IVs best predicts group membership by a single DV that has two or more categories. 18. In binary logistic regression, the DV is a dichotomous variable 19. Factor analysis and principal components analysis are different techniques, but they are very similar 20. Factor analysis allows the researcher to explore the underlying structures of an instrument or data set and is often used to develop and test a theory 21. Principal components analysis is generally used to reduce the number of IVs, which is advantageous when conducting multivariate techniques in which the IVs are not correlated.

Answer 1

11)

True

12)

True

13)

True

14)

True

16)

True

17)

True

18)

True

19)

True

20)

True

21)

True