Hi I need some help solving this MANOVA exercise in SPSS. I retrieved the data sets referenced from:

www.routledge .com/9781138289734

1. I am 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). Use career-a.sav for steps a and b.
2. I am attempting to develop the appropriate research question and/or hypotheses for main effects and interaction.
3. I need to screen data for missing data and outliers. I am trying to figure out What steps, if any, are necessary for reducing missing data and outliers?

For all subsequent of analyses in Question 1, I use career-f.sav and transformed variables of hrs2 and educ2.

1. I am hoping to Test the assumptions of normality and linearity of DVs.
2. I want to discover What steps, if any, are necessary for increasing normality?
3. Are DVs linearly related?

1. I need to Conduct MANOVA with post hoc (I want to be sure to test for homogeneity of variance-covariance)

Can I conclude homogeneity of variance-covariance? Which statistic is most appropriate for interpretation of multivariate results?

I am wondering if the factor interactions are significant?

I am wondering if the main effects are significant?

What can I conclude from univariate ANOVA and post hoc results?

I want to know how to write the results statement.

1. Building on the previous problem, in whichI investigated that effects of job satisfaction and age category (agecat4) on the combined dependent variable of hours worked per weekand years of education (educ), you are now interested in controlling for respondent's income rincome91 will be used as the covariate. I need to Complete the following using career-a-sav.

I want to Develop the appropriate research questions and/or hypothesis for main effects and interaction.

I need to 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,I am using career-f.sav and the transformed variable rincome2.

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

Thank you so much for your help!