Chapter 6 Homework- Please show your SPSS output close to your answers, if applicable.

The two exercises that follow utilize the data setscareer-a.savandcareer-f.sav, which can be downloaded from this website:

www.routledge.com/9781138289734

1.You are interested in evaluating the effect of job satisfaction (satjob2) and age category (agecat4) on the combined DV of hours worked per week (hrs1) and years of education (educ). Usecareer-a.savfor steps a and b.

a.Develop the appropriate research questions and/or hypotheses for main effects and interaction.

b.Screen data for missing data and outliers. What steps, if any, are necessary for reducing missing data and outliers?

For all subsequent analyses in Question 1, usecareer-f.savand the transformed variables ofhrs2andeduc2.

c.Test the assumptions of normality and linearity of DVs.

i.What steps, if any, are necessary for increasing normality?

ii.Are DVs linearly related?

d.Conduct Manova with post hoc (be sure to test for homogeneity of variance-covariance).

i.Can you conclude homogeneity of variance-covariance? Which test statistic is most appropriate for interpretation of multivariate results?

ii.Is factor interaction significant? Explain.

iii.Are main effects significant? Explain.

iv.What can you conclude from univariate Anova and post hoc results?

e.Write a results statement.

2.Building on the previous problem, in which you investigated the effects of job satisfaction (satjob2) and age category (agecat4) on the combined dependent variable of hours worked per week (hrs1) and years of education (educ), you are now interested in controlling for respondents' income such thatrincom91will be used as a covariate. Complete the following usingcareer-a.sav.

a.Develop the appropriate research questions and/or hypotheses for main effects and interaction.

b.Screen data for missing data and outliers. What steps, if any, are necessary for reducing missing data and outliers?

For all subsequent analyses in Question 2, usecareer-f.savand the transformed variables ofhrs2,educ2, andrincom2.

c.Test the assumptions of normality and linearity of DVs and covariate.

i.What steps, if any, are necessary for increasing normality?

ii.Are DVs and covariate linearly related?

d.Conduct a preliminary Mancova to test the assumptions of homogeneity of variance-covariance and homogeneity of regression slopes/planes.

i.Can you conclude homogeneity of variance-covariance? Which test statistic is most appropriate for interpretation of multivariate results?

ii.Do factors and covariate significantly interact? Explain.

e.Conduct Mancova.

i.Is factor interaction significant? Explain.

ii.Are main effects significant? Explain.

iii.What can you conclude from univariate Anova results?

f. What would be the results statement.

3.Compare the results from Question 1 and Question 2. Explain the differences in main effects.