question 3 total 15 marks a researcher is attempting to replicate a cl
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Question 3: [Total: 15 marks]
A researcher is attempting to replicate a classic psychological finding regarding the
relationship between individuals' perceived social support and their degree of perceived
stress. To achieve this, she disseminates a set of questionnaires online which include an
established measure for each of these two constructs. For each of the questionnaires, a higher
score reflects a higher degree of perceived social support, and a higher level of perceived
stress respectively. The questionnaire scores can be taken as interval scales.
The data from 7 participants who filled in the questionnaires are presented below:
Perceived
Social Support
Perceived Stress
Participant 1
24
12
Participant 2
36
26
Participant 3
31
31
Participant 4
17
68
Participant 5
25
71
Participant 6
23
46
Participant 7
19
33
a. By hand calculations, calculate the Pearson's correlation coefficient between
perceived social support and perceived stress based on the data in the above table. For
your calculations, the Means, SDs, and Z-score values of the raw scores can be
calculated by statistical software, but all their values still need to be clearly presented
in your working steps. The rest of the computation steps should be hand-calculated
using formulas, and you need to clearly show your intermediate calculation steps.
[8 marks]/nb. By hand calculations (and showing your intermediate working steps), construct the
unstandardized regression equation for using perceived social support to predict
perceived stress. Write out the full regression equation in the correct format. [3 marks]
c. If an individual has a perceived social support score of 20, predict the perceived stress
score of that individual using the equation in part b. Show your working steps. [2
marks]
d. If the current unstandardized regression findings are significant, would they support
the notion that perceived social support has a causal influence on one's perceived
stress? Explain your answer (no marks will be given for an answer without
explanations). [2 marks]