Use data that can be found on www.routledge.com/9781138289734

You are interested in controlling for respondents' income such that rin-

com91 will be used as a covariate. Complete the following using career-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, use career-f.sav and the transformed variables of hrs2, educ2, and rincom2.

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-covari-

ance and homogeneity of regression slopes/planes.

i. Can you conclude homogeneity of variance-covariance? Which test statistic is most

appropriate for the interpretation of multivariate results?

ii. Do factors and covariate significantly interact? Explain.

e. Conduct MANCOVA.

i. Is factor interaction significant? Explain.

ii. Are the main effects significant? Explain.

iii. What can you conclude from univariate ANOVA results?

f. Conclude with a results statement.