Factorial (2

3)

MANOVA

This study

investigates

the

symptomatic improvement (measured by indexes of both worry

and

general emotion)

of

three different anxiety

treatments for females

and

males. We are therefore

interested not

only in gender differences and treatment differences but

also

in

whether or not

gender moderates the

effectiveness of

the treatments (i.e., whether gender

significantly interacts

with treatment). To address these issues we

use a factorial MANOVA design.

Variables in study:

Treatment: 1 = medication;

2 =

psychotherapy; 3 = placebo

Sex: 1 = male; 0 =

female

Worry scale

Emotion scale

Using the SPSS data file for Module 8 (located in Topic Materials),

answer the following

questions:

1.

Is there

a sufficient correlation between the

dependent variables to justify

the

use of

MANOVA?

2.

Was the assumption

of equality

of covariance matrices violated?

Explain.

3.

Is there

a statistically significant multivariate interaction effect?

Identify

the dependent

variable(s) of this interaction effect.

4.

What would be the proper

follow-up tests for a statistically significant interaction effect?

5.

Identify the

proper

post hoc analyses

for any statistically significant univariate effects.

Explain your answer.

6.

Is there

a statistically significant multivariate gender effect on the dependent

variate?

7.

Why would

a researcher

conduct a MANOVA instead of several

ANOVAs?