PSYC 510 Homework: Correlation And Regression Assignment 

PSYC 510 Homework: Correlation and Regression Assignment Instructions


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. All questions are worth 3 points each. Six points are awarded 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 pasted output. Part III is the cumulative section, reviewing prior material. Follow the directions at the top of each subsection, and insert answers where indicated. Submit the file as a Word document (.doc or .docx), including your full name, course, and section in the filename (e.g., HW5_JohnDoe_510B01). Check the grading rubric before submission.


Paper For Above instruction


Part I: General Concepts


In the scenario, a study investigates the relationship between self-esteem and depression, using a one-tailed Pearson’s r correlation with 52 participants and an r = -0.25. Based on this, you are asked to compute and interpret the coefficient of determination, degrees of freedom, and the critical r value (using the appendix), and write a report in complete sentences. Additionally, you need to discuss the implications of Type I and Type II errors, causality misinterpretations in correlations, and hypotheses testing, including null hypothesis formulation and analysis types.


In the scenario about college retention and athletic status, define the null hypothesis, specify if it is one- or two-tailed, and determine the most appropriate correlation type for analysis.


For SPSS application, you will perform correlation and regression analyses on a dataset examining GPA and potential predictors like motivation, hours studied, perception of teaching and content, and final grades. You are asked to report relevant SPSS outputs, interpret findings in APA style, and create appropriate graphs based on the regression model.


Part III: Cumulative


This section covers broad concepts including variables' distribution shapes, measures of central tendency, structure of research introductions, assessment of construct validity, and subject variables—requiring conceptual descriptions with examples.


References
  • Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2013). Applied multiple regression/correlation analysis for the behavioral sciences (3rd ed.). Routledge.
  • Field, A. (2013). Discovering statistics using IBM SPSS statistics (4th ed.). Sage Publications.
  • 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.
  • Taber, K. S. (2018). The use of Cronbach's alpha when developing and reporting research instruments in science education. Adjustments and motivations, 37(6), 1068-1072.
  • American Psychological Association. (2020). Publication manual of the American Psychological Association (7th ed.). APA.
  • Levine, R. A. (2005). Understanding statistics (4th ed.). Pearson Education.
  • Wilkinson, L., & Tasker, T. (2018). The SAGE handbook of research methods in psychology. SAGE Publications.
  • Myers, D. G. (2018). Psychology (12th ed.). Worth Publishers.
  • Hinkle, D. E., Wiersma, W., & Jurs, S. G. (2003). Applied statistics for the behavioral sciences (5th ed.). Houghton Mifflin.

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