Grand Canyon PSY 870 Module 7 Problem Set
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PSY 870: Module 7 Problem Set
Problem set 7
Details:
This problem set introduces you to the use of SPSS for analyzing data with multiple predictor variables and one continuous scale DV to investigate comparison of means. You will perform a multiple regression analysis on the data and report your output.
This problem set introduces you to the use of SPSS for analyzing data with multiple predictor variables and one continuous scale DV to investigate comparison of means. You will perform a multiple regression analysis on the data and report your output.
General Requirements:
Use the following
information to ensure successful completion of the assignment:
·
Review “SPSS Access
Instructions” for information on how to access SPSS for this assignment.
·
Download the SPSS/PASW
data set file “Module 7 SPSS Data File,” and use it for this assignment.
·
Download the “Module 7
Problem Set” file and use it for this assignment.
Directions:
Perform the following
tasks to complete this assignment:
1.
Conduct necessary
analyses using SPSS so you can answer the questions listed in the exercise.
2.
Submit your responses
to the exercise questions as a Word document.
3.
Submit the SPSS Output
files showing the analyses you performed in SPSS to compute the answers for
related questions. NOTE: You will need to copy the SPSS file to a Word doc for
submission.
PSY 870: Module 7 Problem Set
Optimism and Longevity
A cancer specialist
from the Los Angeles County General Hospital (LACGH) rated patient optimism in
20- to 40-year-old male patients with incurable cancer in 1970. In 1990, the
researcher examined hospital records to gather the following data:
·
Socioeconomic status
(1–7 rating of occupation; higher ratings indicate higher levels of SES)
·
Age in 1970
·
Optimism in 1970
(1–100 rating, higher scores indicate higher levels of optimism)
·
Longevity (years lived
after the 1970 diagnosis)
Using the SPSS data
file for Module 7 (located in Topic Materials), calculate a simultaneous
multiple regression with SES, age, and optimism as the independent variables
and longevity as the dependent variable.
1.
Do the independent
variables correlate statistically significantly and practicallywith the
dependent variable?
2.
Is collinearity
between the independent variables a concern?
3.
What is the R and adjusted R-square for all independent variables
enteredsimultaneously?
4.
What variable(s)
provide a significant unique contribution(s)?
5.
Compose a results
section for this statistical analysis.
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