Part One:
Green & Salkind:
Lesson 31, Exercises 1, 3, and 4.
Open Lesson 31 Exercise File 1 found in Blackboard Course
content (under Syllabus and Assignment Instructions—Assignment
Instructions—SPSS Homework 5—SPSS Homework 5 Files—Mod5_Lesson 31 Exercise File
1).
This data set pertains to Betsy’s study on quality of
teaching and research as described in the end of chapter exercise in Green and
Salkind Lesson 31. Read the research
scenario in the text, then follow the directions below as some questions have
been altered.
1.
Conduct a correlation analysis to investigate the
relationships among all of these variables. Paste your SPSS output.
2.
Answer the following questions:
a.
What is the correlation (r value) between number of
articles published and overall quality of the instructor?
b.
Is there a significant correlation between overall
course quality and overall quality as an instructor? Include the r and p value
to support your answer.
c.
Of all the correlations, which is the only
non-significant one?
3.
Write an APA
style Results section focusing on the following two correlations: a) number of
publications with number of times cited by other authors, and b) number of
publications with overall course quality. All homework “Results sections”
should follow the example given in the Course Content document “Writing Results
of Statistical Tests in APA Format.” Remember to include a decision about the
null hypothesis. For a correlation analysis, also be sure to include the direction
of the relationship between the variables (positive? negative? none?) in your
section.
4.
Create a scatterplot matrix to show the relationships
among all four variables.
Part Two:
1. Research scenario: A manager would like
to determine whether there is a relationship between the amount of time drivers
spend driving for Uber ™ and the ratings the drivers receive. She collects
information on the overall total length of time spent driving (in hours) and
customer ratings of the drivers. Higher scores indicate positive ratings, while
lower scores indicate negative ratings, with a range of 1-16. These scores are
listed in the table below. Conduct a Pearson correlation coefficient
analysis to determine whether there is a relationship between driver hours and
customer ratings of the driver.
The steps will be the same as the
ones you have been practicing in Part One of the assignment—the only difference
is that you are now responsible for creating the data file as well. Remember to
name and define your variables under the “Variable View,” then return to the
“Data View” to enter the data.
Total Hours of Uber ™ Driving Time
|
Customer Rating of Driver
|
3
|
9
|
20
|
14
|
6.5
|
7
|
12
|
14
|
19
|
11
|
8.5
|
8
|
4.5
|
6
|
15
|
9
|
36
|
16
|
28
|
15
|
9
|
3
|
11.5
|
12
|
13
|
9
|
7.5
|
12
|
6.5
|
10
|
37
|
16
|
21
|
8
|
2.5
|
8
|
26
|
15
|
14
|
11
|
8.5
|
14
|
5.5
|
7
|
9.5
|
9
|
5.5
|
10
|
23
|
15
|
12
|
9
|
4
|
7
|
6
|
13
|
a)
SPSS output
b)
Create a simple
scatterplot of the relationship between these variables (define hours as the
x-axis and customer ratings as the y-axis).
c)
Write an APA-style Results section based on your
analyses. All homework “Results sections” should follow the example given in
the SPSS tutorials and the Course Content document “Writing Results of
Statistical Tests in APA Format.” Remember to include a decision about the null
hypothesis. For a correlation analysis, also be sure to include the direction
of the relationship between the variables (positive? negative? none?) in your
section.
2. Research scenario: To investigate the
relationship between a person’s commute time to work and general life stress, a
health psychologist interviewed people about the time they spend in their daily
commute to work (in minutes) and had them fill out the Perceived Stress Scale
(PSS) (http://www.macses.ucsf.edu/research/psychosocial/pss10.php),
with scores ranging from 0 (no perceived stress) to 10 (high perceived stress).
Conduct a Pearson correlation
coefficient analysis to determine whether there is a relationship between the time
spent commuting and perceived stress in this sample.
The steps will be the same as the
ones you have been practicing in Part One of the assignment—the only difference
is that you are now responsible for creating the data file as well. Remember to
name and define your variables under the “Variable View,” then return to the
“Data View” to enter the data.
Time Spent Commuting to Work (mins.)
|
PSS® Stress Score
|
47
19
35
15
20
15
13
19
18
50
65
30
40
|
3
6
2
5
4
3
1
5
7
8
9
6
4
|
a)
SPSS output
b)
Create a simple scatterplot of the relationship
between these variables.
c)
Write an APA-style Results section based on your
analyses. All homework “Results sections” should follow the example given in
the SPSS tutorials and the Course Content document “Writing Results of
Statistical Tests in APA Format.” Remember to include a decision about the null
hypothesis. For a correlation analysis, also be sure to include the direction
of the relationship between the variables (positive? negative? none?) in your
section.
Part Three:
Cumulative Homework: Choose the correct method from tests learned in previous
modules.
Problem 1: A school psychologist administers an
interview assessment that screens for possible post-traumatic stress disorder
(PTSD) to school children who live in an area that was recently affected by a
natural disaster. She assumes that children in this area have higher scores than children in the
general population, who normally score a 2.7. The table on the following page shows the
scores for a particular class of children at the school. Choose the correct
test to analyze this question, set up the SPSS file, and run the analysis.
Follow the directions under the table below.
PTSD Interview Scores
|
5
9
4
1
1.2
6.5
8
7.4
1.2
3.2
2
1.5
4.9
4
1.3
2
|
a)
Paste appropriate SPSS output. (3)
b)
Paste appropriate SPSS graph. (2)
c)
Write an APA-style Results section based on your
analyses. All homework “Results sections” should follow the example given in
the SPSS tutorials and the Course Content document “Writing Results of
Statistical Tests in APA Format”.”Remember to include a decision about the null
hypothesis. (3)
Problem
2: A developmental psychologist is
interested in whether young children show a difference in their willingness to
eat vegetables depending on the language used to describe them. She divides 20
3-year-old children into two groups. The children in one group are offered 80
grams of lima beans and told that the beans are healthy. The children in the
other group are offered 80 grams of lima beans and told that the beans are
tasty. She then measures the amount of lima beans eaten in grams by subtracting
the weight of the beans (or lack thereof) after eating from 80 grams. Is there
a significant difference in the amount of lima beans children eat depending on
what they are told about them? Choose the correct test to analyze this
question, set up the SPSS file, and run the analysis. Follow the directions
under the table below.
Healthy
|
42
69
77
58
51
49
20
15
67
64
|
Tasty
|
29
48
51
12
29
20
32
63
35
48
|
a)
Paste appropriate SPSS output.
b)
Paste appropriate SPSS graph.
c)
Write an APA-style Results section based on your
analyses. All homework “Results sections” should follow the example given in
the SPSS tutorials and the Course Content document “Writing Results of
Statistical Tests in APA Format.” Remember to include a decision about the null
hypothesis.
Submit this assignment by 11:59 p.m. (ET) on Monday of
Module/Week 5.
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