SPSS 5 INSTRUCTIONS - CORRELATION Assignment




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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