Module 7 Problem Set
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:
ΓΒ·
Download the SPSS/PASW data set file “Module 7 SPSS Data
File,” and use it for this assignment.
ΓΒ·
Download the “Module 7 Problem Set” file and use it
for this assignment.
Directions:
Perform the following
tasks to complete this assignment:
Conduct
necessary analyses using SPSS so you can answer the questions listed in
the exercise.
Submit
your responses to the exercise questions as a Word document.
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.
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:
ΓΒ·
Socioeconomic status (1Γ’ΒΒ7 rating of occupation;
higher ratings indicate higher levels of SES)
ΓΒ·
Age in 1970
ΓΒ·
Optimism in 1970 (1Γ’ΒΒ100 rating, higher scores
indicate higher levels of optimism)
ΓΒ·
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 practically
with the dependent variable?
2. Is
collinearity between the independent variables a concern?
3. What
is the Rand adjusted R-square for all independent variables
entered simultaneously?
4. What
variable(s) provide a significant unique contribution(s)?
5.
Compose a results section for this statistical
analysis.
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