Correlation statistics all begin with a research question, and these research questions all seek to determine relationships between variables. Correlational analysis clarifies relationships, but there are many ways to formulate a correlation. Therefore, the strength of a correlation relies on the variables used and the interpretation of the results that may signify a statistically relevant association or relationship.
For this Assignment, you will examine how to interpret results obtained through a correlational analysis. You will evaluate the correlation results provided in the Week 6 Correlations Exercises SPSS output and will reflect on the meaning of the results for the variables examined.
Review the Week 6 Correlations Exercises SPSS Output provided in this week’s Learning Resources. (Attached)
Review the Learning Resources on how to interpret correlation results to determine the relationship between variables.
Consider the results presented in the SPSS output and reflect on how you might interpret the results presented.
Answer the following questions using the Week 6 Correlations Exercises SPSS Output provided in this week’s Learning Resources.
What is the strongest correlation in the matrix? (Provide the correlation value and the names of variables)
What is the weakest correlation in the matrix? (Provide the correlation value and the names of variables)
How many original correlations are present on the matrix?
What does the entry of 1.00 indicate on the diagonal of the matrix?
Indicate the strength and direction of the relationship between body mass index (BMI) and physical health component subscale.
Which variable is most strongly correlated with BMI? What is the correlational coefficient? What is the sample size for this relationship?
What is the mean and standard deviation for BMI and doctor visits?
What is the mean and standard deviation for weight and BMI?
Describe the strength and direction of the relationship between weight and BMI.
Describe the scatterplot. What information does it provide to a researcher?
Gray, J. R., & Grove, S. K. (2020). Burns and Grove’s the practice of nursing research: Appraisal, synthesis, and generation of evidence (9th ed.). Elsevier.
Chapter 11, “Quantitative Methodology: Noninterventional Designs and Methods” (pp. 252–256)
Chapter 23, “Using Statistics to Examine Relationships” (pp. 663–674)
Benton, C. P. (2021). Sexual health attitudes and beliefs among nursing faculty: A correlational study Links to an external site.. Nurse Education Today, 98. doi:10.1016/j.nedt.2020.104665
Rio, L., Tenthorey, C., & Ramelet, A.-S. (2021). Unplanned postdischarge healthcare utilisation, discharge readiness, and perceived quality of teaching in mothers of neonates hospitalized in a neonatal intensive care unit: A descriptive and correlational study Links to an external site.. Australian Critical Care, 34(1), 9–14. doi:10.1016/j.aucc.2020.07.001
Woo, M.-J., & Kim, D.-H. (2021). Factors associated with secondary traumatic stress among nurses in regional trauma centers in South Korea: A descriptive correlational study Links to an external site.. Journal of Emergency Nursing, 47(3), 400–411. doi:10.1016/j.jen.2020.08.006