Manova spss example

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?”
Use SPSS to answer the 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?