Humanities Homework Help
Oberlin How the Purpose Aligns with The Use of Polynomial Regression Discussion
Part one – due Sunday 5.2.21
This week, you will critique a research study that uses polynomial regression. First, you must locate an empirical article that presents research (preferably related to a topic in psychology) that uses polynomial regression. Then, write a paper to summarize the study and provide a response to each of the following:
- Explain the purpose of this study and how this purpose aligns with the use of polynomial regression.
- Identify the assumptions that must be met to utilize polynomial regression. Did the study meet these assumptions? Review the statistics that were performed to test for these assumptions.
- Explain the different factors used to determine the ideal sample size for this polynomial regression analysis. Did the study adhere to the recommended number of cases (participants)?
- Describe the analysis and results.
- Critique common sources of bias in polynomial regression. How did the study address these issues?
- Determine the implications of this study based on the results of the polynomial regression analysis.
Length: 4-6 pages, not including title or reference pages
References: Include a minimum of 2 scholarly resources.
The completed assignment should address all of the assignment requirements, exhibit evidence of concept knowledge, and demonstrate thoughtful consideration of the content presented in the course.
Part 2 – due next Sunday 5.9.21
Erin has five different measures of Big Five personality traits (i.e., agreeableness, extraversion, openness to experience, conscientiousness, and neuroticism) in her predictor variable set and four different measures of creativity types (e.g., cognitive, emotional, spontaneous, and deliberate) in her criterion variable set. She is interested in exploring whether there is a relationship between these sets of personality and creativity variables. She gathered data for these predictors and criteria from 100 adult participants. Erin’s data file is named Data Week 9.sav. The personality variables are measured on a 1-5pt Likert scale (“1” = “strong disagree; “5” = “strongly agree”). The creativity type variables are also measured on a 1-5pt Likert scale (“1” = “strong disagree; “5” = “strongly agree”).
To assess the relationship between these personality and creativity type variables, conduct a correlational analysis (Correlate -> Bivariate Correlation) and a canonical correlation using SPSS (Note there is now a “point and click” menu option for canonical correlation: Correlate->Canonical Correlation) and write a summary of your analysis and results. Be sure to address the following:
- Explain what canonical correlation is and when it is used. How does it relate to other multivariate analyses?
- Define 3 to 5 key terms associated with canonical correlation.
- Interpret results:
- Explain how you would characterize the strength of the relationship between the two sets of variables from the simple correlations.
- Determine if the canonical model captures the relationship between sets of variables. That is, is the overall model fit significant? Present Wilk’s λ to support your findings.
- Determine how many of the canonical correlations are significant at the .05 level. Explain the two approaches used to interpret canonical variates. Then, select an approach and share your interpretation of the canonical variates corresponding to the largest canonical correlation. How large an n is needed for reliable interpretation of the canonical variates?
- Create a table to aid in the interpretation of your results.
- Considering all the canonical correlations, indicate the redundancy index’s value for the creativity variables given the personality variables.
- Write up your final results using APA style.
Length: 4-6 pages, not including title or reference pages
References: Include a minimum of 2 scholarly resources.
The completed assignment should address all of the assignment requirements, exhibit evidence of concept knowledge, and demonstrate thoughtful consideration of the content presented in the course.