1. What level of measurement is required for the independent variable (factor) and dependent variable in univariate analysis of variance (ANOVA)?

	a.	The factor has to be at the nominal level of measurement.
	b.	The dependent variable has to be at the interval/ratio level of measurement.
	c.	Both of the above.
	d.	Neither of the above.

1. When the value of the F ratio in ANOVA is near 1.00, this indicates that

	a.	The differences between groups in the factor are roughly the same as would be expected due to chance.
	b.	There is evidence of a treatment effect.
	c.	There is no evidence of a treatment effect.
	d.	Both (a) and (c) are correct.

QUESTION 3

1. In two-way analysis of variance:

a.

There are two independent variables and one dependent variable.

b.

There are two dependent variables and one independent variable.

c.

The two independent variables must be at the interval/ratio level of measurement.

d.

Both (b) and (c) are incorrect

QUESTION 4

Main effects in the two-way ANOVA:

	a.	Must be reported when there are interaction effects between the independent variables.
	b.	Need not be reported when the interaction effect between the independent variables is statistically significant.
	c.	Indicate the differences produced by either Factor A or Factor B, independent of the other.
	d.	Both (b) and (c) are correct.

1 points

QUESTION 5

Interaction between factors in the two-way ANOVA:

	a.	Occurs when the effect of one factor depends on the different levels of the other factor.
	b.	Occurs when the effect of one factor does not depend on the different level of the other factor.
	c.	Should be reported in addition to the main effects for Factor A and Factor B.
	d.	Both (a) and (c) are correct.

1 points

QUESTION 6

The first step in interpreting the results of ANCOVA is to:

	a.	Determine if factor interaction is present by examining the F ratio and p value for interaction.
	b.	Obtain a measure of effect size.
	c.	Test the various combinations of levels for Factor A and Factor B.
	d.	Only (a) and (b) are correct.

QUESTION 7

Eta squared in ANCOVA is interpreted as:

	a.	The proportion of variance in the DV explained by the IV(s) in the sample.
	b.	The proportion of variance in the covariate explained by the IV(s) in the sample.
	c.	The proportion of variance in the IV(s) in the sample after partialing out the effects of the covariate(s).
	d.	None of the above.

1 points

QUESTION 8

A two-way ANCOVA tests the following three separate hypotheses simultaneously in one analysis:

	a.	Two of the hypotheses test the significance of the levels of the two IVs separately, after removing the effects of the covariate.
	b.	The third tests the significance of the interaction of the levels of the two IVs, also after removing the effects of the covariate.
	c.	The third tests the significance of the interaction of the levels of the IVs and DV after removing the effects of the covariate.
	d.	(a) and (b) are correct.

1 points

QUESTION 9

Ideally, if quantitative variables are being used as covariates in ANCOVA, one should choose those variables that:

	a.	Are significantly correlated with the DV.
	b.	Have low correlations among themselves.
	c.	Have high correlations among themselves.
	d.	(a) and (b) are correct.

QUESTION 10

If there exists a weak correlation between two covariates, they will remove relatively unique portions of the error variance from the DV, which is:

	a.	Advantageous.
	b.	Disadvantageous.
	c.	Of no consequence because the correlation is weak.
	d.	None of the above is correct.

1 points

QUESTION 11

Initial assessments of normality with MANCOVA is done through the inspection of:

	a.	Histograms.
	b.	Boxplots.
	c.	Normal Q-Q plots.
	d.	All of the above.

1 points

QUESTION 12

A violation of the assumption of homogeneity of regression slopes (as well as regression planes and hyperplanes) in MANCOVA is an indication that:

		There is a covariate by treatment (IV) interaction.
		There is a covariate by DV interaction.
		Neither (a) nor (b) is correct.
		Both (a) and (b) are correct

QUESTION 13

Examining group means (before and after covariate adjustment) for each DV in MANCOVA can assist in determining how groups differed for each DV because:

	a.	MANCOVA provides post hoc analyses.
	b.	MANCOVA does not provide post hoc analyses.
	c.	MANCOVA provides post hoc analyses when there is only one covariate.
	d.	MANCOVA provides post hoc analyses when there is only one factor.

1 points

QUESTION 14

In summary, the first step in interpreting the MANCOVA results is to evaluate the preliminary MANCOVA results that include:

	a.	Box's test.
	b.	Test for homogeneity of regression slopes.
	c.	Box's test and the test for homogeneity of regression slopes.
	d.	F ratio.

1 points

QUESTION 15

If Box's test is not significant when interpreting MANCOVA, which of the following test statistics should be used when interpreting the homogeneity of regression slopes and the subsequent multivariate tests?

	a.	Wilks' Lambda.
	b.	Pillai's Trace.
	c.	Hotelling's Trace.
	d.	All of the above.