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Factorial Analysis of Variance in SPSS Assignment Brief

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…

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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. Write an analysis in APA format, including title page, references, and an appendix, that includes your data output and addresses each of the tasks listed below. The content should be 2–3 pages, including setup of the assignment, results, and interpretation of results. Your SPSS output should be included as an appendix.

What is the null hypothesis for your question?

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

What dependent variable was used and how is it measured?

What independent variable is used and how is it measured?

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

What is the answer to your research question?

What are the possible implications of social change?

Early in your Assignment, when you relate which dataset you analyzed, please include the mean of the following variables. If you are using the Afrobarometer Dataset, report the mean of Q1 (Age). If you are using the General Social Survey Dataset, report the mean of Age. If you are using the HS Long Survey Dataset, report the mean of X1Par1Edu. See pages 533 and 534 in your Warner textbook for an excellent APA-compliant write-up of a factorial analysis of variance.

Submission and Grading Information

To submit your completed Assignment for review and grading, do the following:

Please save your Assignment using the naming convention “WK6Assgn1+last name+first initial.(extension)” as the name.

Click the Week 6 Assignment 1 Rubric to review the Grading Criteria for the Assignment.

Click the Week 6 Assignment 1 link. You will also be able to “View Rubric” for grading criteria from this area.

Next, from the Attach File area, click on the Browse My Computer button. Find the document you saved as “WK6Assgn1+last name+first initial.(extension)” and click Open.

If applicable: From the Plagiarism Tools area, click the checkbox for I agree to submit my paper(s) to the Global Reference Database.

Click on the Submit button to complete your submission.

Grading Criteria

To access your rubric:

Week 6 Assignment 1 Rubric

Check Your Assignment Draft for Authenticity

To check your Assignment draft for authenticity:

Submit your Week 6 Assignment 1 draft and review the originality report.

Submit Your Assignment by Day 7

To submit your Assignment:

Week 6 Assignment 1

Assignment 2: Article Critique

The practice of quantitative research not only involves statistical calculations and formulas but also involves the understanding of statistical techniques related to real-world applications. You might not become a quantitative researcher nor use statistical methods in your profession but as a consumer, citizen, and scholar-practitioner, it will be important for you to become a critical consumer of research, which will empower you to read, interpret, and evaluate the strength of claims made in scholarly material and daily news.

For this Assignment, you will critically evaluate a scholarly article related to factorial ANOVA.

To prepare

Review the Article Critique Assignment Guide in the Walden Library, listed in the Week 2 Learning Resources.

Search the Walden Library for a quantitative article that applies factorial analysis of variance. Note that sometimes these are referred to as “two-way ANOVAs.”

By Day 7

The Assignment

Write a 2- to 3-page critique of the research you found in the Walden Library that includes responses to the following prompts:

Why did the authors select factorial ANOVA in the research?

Do you think this test was the most appropriate choice? Why or why not?

Did the authors display the results in a figure or table?

Does the results table stand alone? In other words, are you able to interpret the study from it? Why or why not?

Submission and Grading Information

To submit your completed Assignment for review and grading, do the following:

Please save your Assignment using the naming convention “WK6Assgn2+last name+first initial.(extension)” as the name.

Click the Week 6 Assignment 2 Rubric to review the Grading Criteria for the Assignment.

Click the Week 6 Assignment 2 link. You will also be able to “View Rubric” for grading criteria from this area.

Next, from the Attach File area, click on the Browse My Computer button. Find the document you saved as “WK6Assgn2+last name+first initial.(extension)” and click Open.

If applicable: From the Plagiarism Tools area, click the checkbox for I agree to submit my paper(s) to the Global Reference Database.

Click on the Submit button to complete your submission.

Grading Criteria

To access your rubric:

Week 6 Assignment 2 Rubric

Check Your Assignment Draft for Authenticity

To check your Assignment draft for authenticity:

Submit your Week 6 Assignment 2 draft and review the originality report.

Submit Your Assignment by Day 7

To submit your Assignment:

Week 6 Assignment 2

Week in Review

This week you critiqued research studies, analyzed and applied factorial analysis of variance to a dataset. Next week you will practice using repeated measures of ANOVA and critique an article that uses this method.

To go to the next week:

Use this resource to support learning, planning and original work. Follow your institution’s academic integrity requirements.

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