MANOVA Homework Assignment

In this MANOVA dataset, we will be using femininity (FEM) and masculinity (MASC) as our grouping variables (IVs).

Using the "MANOVA" data set:

1. Determine if femininity (FEM) has an effect on the following set of DVs: self-esteem (ESTEEM), attitude toward women’s roles in society (ATTROLE), introversion/extroversion (INTEXT), neuroticism (NEUROTIC), and internal vs. external locus of control (CONTROL).
   1. What is the statistical power of the multivariate tests?
   2. What percentage of the variance in each criterion variable (DV) is accounted for by FEM?
2. Determine if masculinity (MASC) has an effect on the same set of variables.
   1. What percentage of the variance in each criterion variable (DV) is accounted for by MASC?
3. Produce a correlation matrix for the five dependent variables (in SPSS see Analyze, Correlate, Bivariate).
   1. Was MANOVA an appropriate procedure in this case?

Again using the "MANOVA" data set, do these more advanced problems :

1. Determine if femininity (FEM) has an effect on the following set of DVs: self-esteem (ESTEEM), attitude toward women’s roles in society (ATTROLE), introversion/extroversion (INTEXT), neuroticism (NEUROTIC), and internal vs. external locus of control (CONTROL). This time, use socioeconomic level (SEL2) as a covariate.
   1. Do the multivariate tests remain significant after you add this covariate to the model?
2. Determine if masculinity (MASC) has an effect on the same set of variables when SEL2 is controlled.
3. Conduct a univariate analysis (use GLM, Univariate) to determine whether MASC (IV or Fixed Factor in the SPSS box) predicts the DV self-esteem (ESTEEM).
   1. What happens to this model when you add FEM as a second predictor (predictors or IVs = FEM, MASC)?
   2. Look at the interaction term of MASC * FEM. What does this mean?
4. Determine if the interaction between masculinity and femininity questionnaire scores (IV = MASC * FEM) has a significant effect on the set of five dependent variables (ESTEEM, INTEXT, ATTROLE, NEUROTIC, and CONTROL). Do still include the main effects of MASC and FEM when you test for their interaction.
   The interaction between masculinity and femininity has a significant effect on the set of the five dependent variables, this is supported with the p-values of .000 across all of the variables.
5. What happens to each of the IV’s main effects when you run the same two-way MANOVA model as in #4, but you also add socioeconomic level (SEL2) as a covariate?
6. Even if you found a non-significant interaction in the multivariate analysis in #5, determine whether the MASC * FEM interaction has an effect on any of the individual dependent variables (include the same set of predictors in the model as in question #4).
7. Write a paragraph with substantive conclusions about masculinity and femininity scores as predictors of various personality variables.

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Solution: The downloadable solution consists of 6 pages, 974 words and 4 charts.
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