Overview
--- YOU MUST BE ABLE TO USE THE SPSS SOFTWARE! ---
Homework 4 focuses on the application of concepts addressed in Exercises 14 and 29. Homework 4 is due!
Homework 4 involves data collected from a survey study by Urban, Smith, Wilson, and Cipher (2021). Undergraduate nursing students were surveyed and administered several questionnaires. Two of these were the Perceived Stress Scale (PSS) and the Brief Resilience Scale (BRS).
Scores on the PSS range from 0 to 40 with higher scores indicating increased (worse) stress levels. Scores on the BRS range from 1 to 7 with higher scores indicating greater (better) resilience levels.
The null hypothesis is “Perceived stress levels do not predict resilience among undergraduate nursing students.”
The data are presented in HW4.sav A simulated subset of 15 students was randomly selected for this example so that the computations would be small and manageable. In actuality, studies involving linear regression need to be adequately powered (Aberson, 2010; Cohen, 1988).
Download the file:
HW4.sav (i will need to send you the doc)
Open in SPSS. Use the dataset to answer the following questions.
Calculate the b value using the formula presented in Exercise 29. List the numerator and the denominator. See attachedfor starter calculations: HW4 Starter Calculations with Notes.xls (attached below)
Calculate the a value using the formula presented in Exercise 29. List the numerator and the denominator.
Compute the linear regression with SPSS. Paste the table labeled “Coefficients” into your homework.
Note the R² value. How would you characterize the magnitude of the effect between stress and resilience? Refer to Table 24-1 for the size of the effect. Provide a rationale for your answer.
Write your interpretation of the results, as you would in an APA-formatted journal.
Help with Homework 4:
Q5: You want to pattern your interpretation exactly like the one on page 356 in Exercise 29. Three sentences: the first one reports the analysis performed, the predictor and the DV. The second states whether or not there was a significant prediction, ending with standardized beta value, p and R squared. The last sentence offers some explanation of the nature of the association. Be sure to use the Greek beta symbol and the R squared symbol.