Identify the dependent variable of interaction effect


Assignment:

Anxiety & Country

This study examined differences in anxiety level between an industrial county and a nonindustrial country. Anxiety is

assessed three ways-cognitive, affective and behavioral-with higher scores indicating higher levels of the anxiety

dimensions.

Using the SPSS data file for Chapter 9B from https://www.sagepub.com/amrStudy, answer the following questions.

1.Is the MANOVA an appropriate statistical technique for this research?

Explain.

2.Examine the mean scores on the anxiety dimensions between the two countries. Does there appear to be mean

differences between the two groups on the three dependent variables?

3.According to the Wilks' Lambda test, is there a significant difference between the two countries on the linear

combination (the variate) of the DVs?

4.What is the effect¬size?

Is it weak, moderate, or strong?

5.Examine the univariate output. Do all the DVs demonstrate significant differences?

6.Write a Results section for this study.

MANOVA: Two¬Way Factorial Using SPSS: Answers

Factorial (2 x 3) MANOVA

This study investigates the symptomatic improvement (measured by indexes of both worry and general emotion) ofthree different anxiety treatments for females and males. We are there interested no only in gender difference andtreatment differences but als in wheterh or not gender moderates the effetivenes of the treamtes (i.e., whether gendersignificantly interacts with treatment.) To addrewss these issues we use a factorial MANOVA design.

Variables in the study:

Treatment: 1= medication; 2= psychotherapy; 3= placebo

Sex: 1=male; 2= female

Worry Scale

Emotion Scale

Using the SPSS data file for Chapter 11B from https://www.sagepub.com/amrStudy, 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?

8.Write a Results section for this research.

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