Psychology 510 Homework: Correlation And Regression Instruct

Psyc 510homework Correlation And Regression Assignment Instructionsov

This Homework: Correlation & Regression Assignment is designed to assess your understanding of the concepts and applications covered thus far in this course. In this module, you have looked at the second goal of science – prediction, which aligns with our second most powerful research method – correlations and regression. These concepts, SPSS applications, and how to present conclusions in APA format will further develop your ability to understand and evaluate data as a consumer in a data-laden world as well as within our field. It also assesses your ability to analyze and present predictive research in the field of psychology.

Be sure you have reviewed this module’s Learn section before completing this Homework: Correlation & Regression Assignment. This Homework is worth 60 points, with questions worth 3 points each and six points for mechanics/structure. Part I contains general concepts from this module’s assigned readings and presentations. Part II requires use of SPSS, including screenshots or copying and pasting from SPSS results. Part III is the cumulative section, reviewing previous module material with potential short answers or SPSS use. Answers should be placed where indicated. The file must be submitted as a WORD document (.doc or .docx), with the filename including your full name, course, and section (e.g., HW5_JohnDoe_510B01). Ensure you check the Homework Grading Rubric before beginning.

Part I: General Concepts

These questions are based on the concepts covered in this module’s assigned readings and presentations.

You find a partial report of a study investigating the relationship between self-esteem and depression. They conducted a one-tailed Pearson’s r correlation with 52 participants, reporting r = -0.25. Answer the following questions:

1. a. Calculate / report the coefficient of determination.
2. b. Report the degrees of freedom.
3. c. Find the critical r value using the ebook appendix (do not round).

2. Write up the results using complete sentences, including full statistical notation and the decision regarding the null hypothesis.

3. What would a researcher conclude if a Type I error were committed in this scenario? What is actually true in the population?

4. If a study found a significant positive relationship between IQ and SAT scores, and a journalist erroneously claimed causality, what would that conclusion be?

5. What would a researcher conclude if a Type II error occurred regarding the correlation between IQ and SAT scores? State both the conclusion and the true population relationship.

Scenario: A professor studies whether being an athlete is associated with retention at their college. The operational definition: athletic status (YES/NO); retention (self-report 0–100%). The research is contradictory; some suggest athletic status improves retention, others suggest no effect. Formulate the null hypothesis in complete sentence, specify the test as one- or two-tailed.

6. Null hypothesis? One-tailed or two-tailed?

7. Which correlational analysis is most appropriate and why?

Part II: SPSS Application

Use SPSS to analyze the data set titled “Correlation & Regression SPSS Data Set”. Submit all work within this document, including screenshots or pasted output. Report the exact p-value from SPSS (not just p<.05 or p>.05, unless p=.000, then report p<.001>

8. Conduct a Pearson correlation to assess the relationship between motivation (motscore) and GPA. Paste the SPSS output.

9. Write the results in APA style, including statistical notation, specifying whether the test is one- or two-tailed, and include the coefficient of determination if appropriate.

10. Conduct a linear regression to predict GPA based on hours studied (hrsstudy). Paste the SPSS output.

11. Present the results in APA style.

12. Create an appropriate graph illustrating the regression equation.

Part III: Cumulative Questions

13. Describe a variable likely to have a positively skewed distribution. Justify using example mean, median, and mode values.

14. Describe a variable likely to be platykurtic. Include explanation of score dispersion.

15. When examining exam scores with an outlier (one extremely low score), which measure of central tendency is most appropriate?

16. Where within an introduction (beginning, middle, or end) would you find the rationale, problem statement, and hypothesis?

17. How can Jane assess the construct validity of her new stress measure?

18. Provide an example of a subject / participant variable (see chapter 1).

Submit this assignment by 11:59 p.m. (ET) on Sunday of Module 5. Name the file appropriately.

References

• Field, A. (2013). Discovering statistics using IBM SPSS statistics. Sage.
• Gravetter, F. J., & Wallnau, L. B. (2017). Statistics for the behavioral sciences (10th ed.). Cengage Learning.
• Tabachnick, B. G., & Fidell, L. S. (2013). Using multivariate statistics (6th ed.). Pearson.
• Hays, W. L. (2013). Statistics (9th ed.). Harcourt Brace.
• Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Routledge.
• American Psychological Association. (2020). Publication manual of the American Psychological Association (7th ed.).
• Levine, G. M., & Hullett, C. R. (2002). Eta squared, partial eta squared, and prospective power in SAS, SPSS, and Stata. Educational and Psychological Measurement, 62(2), 229-247.
• Myers, J. L., Well, A. D., & Lorch, R. F. (2010). Research design and statistical analysis. Routledge.
• Pedhazur, E. J., & Pedhazur Schmelkin, L. (2013). Measurement, design, and analysis. Routledge.
• Frankfort-Nachmias, C., & Nachmias, D. (2008). Research methods in the social sciences. Worth Publishers.