Psychology Writing Services

Free Sample Papers

Need writer for your Psychology Papers?

Get your paper in 24 Hours.

We have a team of Psychology Academic Writers who can help you quickly write plagiarism-free papers, essays, and research articles.

Hire Writer

RSCH FPX 7864 Assessment 2 Correlation Application and Interpretation

Name

Capella University

RSCH FPX 7864 Quantitative Design and Analysis

Prof. Name

Date

Plan for Analyzing Data

Exploring how past academic achievements relate to current performance provides valuable insights into students’ learning journeys. While many factors contribute to student success, their prior GPA serves as a general measure of academic background and abilities. This examination concentrates on four ongoing factors: Quiz 1, GPA, Final exam, and Total points.

Ultimate Correlation Analysis

Research Inquiry: Examining the Relationship Between Total Class Points and Final Exam Correct Answers

Null Assertion: Lack of Significant Correlation Between Total Class Points and Final Exam Correct Answers

Alternative Proposition: Identification of Significant Correlation Between Total Class Points and Final Exam Correct Answers

Correlation Between GPA and Quiz Performance

Investigation Inquiry: Does a Student’s Prior GPA Relate to Quiz 1 Performance?

Null Hypothesis (H₀): Absence of a Substantial Link between a Student’s Prior GPA and Quiz 1 Accuracy.

Alternate Hypothesis (H₁): Existence of a Meaningful Correlation between a Student’s Previous GPA and Quiz 1 Precision.

Testing Assumptions

Let’s examine our assumptions. Looking at the descriptive statistics in Table 1, we observe the skewness and kurtosis levels for GPA and the final exam. GPA displays a skewness of -0.22 and a kurtosis of -0.69, while the final exam exhibits values of -0.34 and -0.28 respectively. The skewness values for both metrics lie within the -1 to 1 range, indicating relatively balanced distributions. With skewness falling between -0.5 and 0.5, we can infer a nearly symmetrical distribution, suggesting that our data might follow a normal distribution.

Results & Interpretation (Table 2)

 
GPA
Total
Quiz1
Final

Mean

2.862

100.086

7.467

61.838

Std. Deviation

0.713

13.427

2.481

7.635

Skewness

-0.220

-0.757

-0.851

-0.341

Kurtosis

-0.688

1.146

0.162

-0.277

Correlation Matrix

In Table 2, a minor positive correlation (r=0.152) exists between GPA and Quiz 1. With 104 degrees of freedom and a significance level of p=0.01, the observed p-value (0.212) is greater than 0.01, indicating nonsignificance. The effect size suggests Quiz 1 explains only 2% of GPA variability, hence failing to reject the null hypothesis.

Pearson’s Correlations

 
Quiz1
GPA
Total
Final

Quiz1

0.152

0.121

0.499

GPA

0.152

0.318

0.379

Total

0.121

0.318

0.875

Final

0.499

0.379

0.875

The strongest correlation (r=0.875) is between ‘final’ and ‘total’ variables, statistically significant with a p-value of 0.000. ‘Final’ explains 76% of ‘total’ variability. A moderate correlation (r=0.379) exists between GPA and Final, significant with a p-value of 0.000. Final explains 14% of GPA’s variability.

Statistical Conclusions

While no significant correlation exists between GPA and Quiz 1, strong correlations are found between ‘final’ and ‘total’ scores and between GPA and Final scores, implying meaningful linear relationships.

RSCH FPX 7864 Assessment 2 Correlation Application and Interpretation

Application

Correlation analysis is vital in veterans’ healthcare research, aiding in understanding the relationship between military service experiences and medical conditions. Strong correlations can suggest presumptive service connections, simplifying benefits access for affected veterans.

References

Betancourt, J. A., et al. (2021). Exploring Health Outcomes for U.S. Veterans Compared to Non-Veterans from 2003 to 2019. Healthcare (Basel, Switzerland), 9(5), 604. https://doi.org/10.3390/healthcare9050604

Field, A. (2018). Discovering statistics using IBM SPSS statistics (5th ed.). SAGE.

Gravetter, F. J., & Wallnau, L. B. (2016). Statistics for the behavioral sciences (10th ed.). Cengage Learning.

Creswell, J. W. (2014). Research design: Qualitative, quantitative, and mixed methods approaches (4th ed.). SAGE Publications.

RSCH FPX 7864 Assessment 2 Correlation Application and Interpretation

McHugh, M. L. (2013). The Chi-square test of independence. Biochemia Medica, 23(2), 143-149.

 

Get In Touch

    Psychology Writing Services delivers tailored solutions for academic and professional exploration of the human psyche.

    Our Services

    our services

    © Copyright 2024 powered by PsychologyWritingServices.com

    You cannot copy content of this page, Contact Team if you need Help