Construct a research question with social change implication

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Reference no: EM132372300

Factorial Analysis of Variance

Are you noticing that many of the new statistical tests that you are learning build upon concepts you were exposed to in the previous quantitative analysis course? Factorial analysis of variance will be very familiar to you in the sense that you are just building upon the one-way ANOVA (analysis of variance). The central goal is to still compare means across a factor (that has groups or levels) but you are adding more than one grouping factor.

For example, a professor might have previously tested student levels of statistics anxiety across type of undergraduate degree held but now also wants to include student gender as an additional variable. Factorial ANOVA allows this comparison of means across the combinations of both factors and looks for any interaction that occurs between them. Because this examination involves more than one factor, this test sometimes goes by the moniker of two-way ANOVA, three-way ANOVA, and so on. The advantages are clear. Could you imagine running all these independent samples t tests? Not only would that be unwieldy, it would also introduce quite a bit of error.

Though your interest may be piqued, it might be tinged with some trepidation. You may be experiencing some of the anxiety measured by the aforementioned professor. Not to worry: This week you will be provided with plenty of opportunity to practice running these tests, receive feedback from your class peers and Instructor, and review an example of how factorial ANOVA is applied in peer-reviewed literature.

Assignment 1: Factorial Analysis of Variance in SPSS

Earlier this week, you practiced using factorial ANOVA 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 factorial ANOVA.

To prepare
• Review the datasets provided.
• Construct a research question with social change implications based on one of those datasets.
• Be sure to focus on the assumptions of this test and ask yourself, "Does it make sense to interpret the mean of this dependent variable?"
• Remember that you will need categorical predictor variables.
By Day 7

The Assignment
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?
6. What is the answer to your research question?
7. What are the possible implications of social change?

Be sure to include your data output with your analysis. See pages 533 and 534 in your Warner textbook for an excellent APA-compliant write-up of a factorial analysis of variance.

Please use APA in SPSS Output tables

Attachment:- Factorial Analysis of Variance.rar

Reference no: EM132372300

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