Question

1. Discriminant analysis seeks to identify which combination of quantitative IVs best predicts group membership by a single DV that has two or more categories.

T

F

2. In binary logistic regression, the DV is a dichotomous variable.

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F

3. Factor analysis and principal components analysis are different techniques, but they are very similar.

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F

4. 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.

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F

5. 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.

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F

6. Questions that address structure usually distinguish between independent and dependent variables.

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F

7. When investigating the relationship between two or more quantitative variables, the T-test is the appropriate test.

T

F

8. Prediction of group membership is evaluated by ANOVA, ANCOVA, MANOVA, and MANCOVA.

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F

9. Significance of group differences is evaluated by discriminant analysis and logistic regression.

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F

Answer 1