# Multivariate Analysis of Variance, manova spss help

PLEASE FOLLOW THE INSTRUCTIONS LISTED AND USE THE SAME DATASET AND TEMPLATE FROM THE LAST ASSIGNMENT AND INCLUDE THE SAV FILE:

Multivariate Analysis
of Variance (MANOVA)

This week, your
exploration of analysis of variance continues. MANOVA is yet another extension
of comparison of means tests. This week, you will be exposed to foundational,
one-way MANOVA models.

MANOVA is similar to a
one-way ANOVA but with multiple outcome/dependent variables. The statistics
professor who is interested in different teaching methods could have three
different course types, each with a unique approach. As an outcome variable,
the professor may wish to examine mean differences in grade point average
(GPA), final test scores, and student anxiety. One could run three different
one-way ANOVA models but that would be cumbersome and could contribute to the
possibility of a type I error. With a one-way MANOVA, the comparison of means
could be performed in a single operation in statistical software.

This week you explore
MANOVA, to see how it can serve as a basic building block to extend your
statistical testing to other applications. For example, just like adding a
covariate built on the one-way ANOVA to create an ANCOVA, adding a covariate
will create a MANCOVA model. You can also add additional factors, which will
give you a factorial MANOVA.

MANOVA in SPSS Earlier this week, you practiced using MANOVA
models with SPSS and, ideally, used the Collaboration Lab to ask, answer, and
otherwise address any questions you had. In this Assignment, you apply what you
learned to answer a social research question using MANOVA.

To prepare

• Review the dataset provided.
• Construct a research question based on one of those
datasets.
• Pay attention to the assumptions of this test, and ask,
“Does it make sense to interpret the mean of this dependent variable?”

research question you constructed. Then, compose a 1- to 2-paragraph analysis
in APA format in which you answer the following questions:

1.What is the null hypothesis for your question?

2.What research design(s) would align with this question?

3.What dependent variable was used and how is it measured?

4.What independent variable is used and how is it measured?

5.If you found significance, what is the strength of the effect? 