Reference no: EM131225212

Part One:

Green & Salkind:

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 managerwould like to determine whether there is a relationship between the amount of time drivers spend driving for Uber ^TM 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 TM 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 customerratings 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) (https://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.

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.

Problem 2:Adevelopmental 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.

SPSS CUMULATIVE ASSESSMENTINSTRUCTIONS

The following research questions can be answered using 1 of the 5 tests you have learned so far:single-sample t-test, paired-samples t-test, independent-samples t-test, one-way ANOVA, or two-way ANOVA. Use the information in the tables to construct your SPSS data file, just as you have been doing in Part 2 of each homework assignment. There is only 1 correct choice of analysis for each question, and note that some tests are 1-tailed and some are 2-tailed. The assessment is open-book/open-notes.

For each problem involving a test of significance, your answer must include: A)SPSS output;B) an appropriate graph from SPSS; C)a Results section in current APA style including a statistical statement (i.e., t(19) = 1.79, p = .049);a sentence summarizing the results "in English" (i.e., "There was a significant difference between the two groups on the variable..." or "There was no significant difference..."); and a decision about the null hypothesis.

For ANOVA problems: Report statistical findings and make statements for all main effects and interaction effects. Use Tukey's test for any analyses requiring post hoc tests. Do not create a boxplot for the 2-way ANOVA--use the graph we typically use in the course for this type of test.

1. An entrepreneur claims that he has developed a program that can increase the IQ of adolescent students. To test this claim, a psychologist administers the WISC (an IQ score for children) to a group of students before and after completing the training program. Analyze the data to test the entrepreneur's claim.

Student	IQ before	IQ after
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18	103 85 94 106 74 98 83 93 103 96 109 115 86 122 112 126 118 72	99 89 90 108 74 99 80 99 107 93 111 117 83 122 120 131 116 74

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

a) SPSS output
b) SPSS graph
c) APA-style Results section

2. The staff at a local psychiatric facility wants to determine whether implementing a No Smoking rule significantly decreases the length of stay of inpatients. In order to test this claim, they comparedthe length of stay of patients admitted before a No Smoking rule was implemented to a different group of patients admitted after the No Smoking rule was implemented. Evaluate the claim that the average length of stay was significantly shorterfor the group admitted after the facility implemented the rule.

Smoking Allowed		No Smoking
8 5 2 5 8 6 4 14	7 15 12 8 4 13 10 8	5 10 7 8 2 3 2 4	4 8 4 5 2 4 6 7

a) SPSS output
b) SPSS graph
c) APA-style Results section

3. Depressed patients are randomly assigned to 1 of 3 therapists. At the end of 3 months, each patient completes a standardized test of depression (higher scores indicate higher level of depression). The patients' scores are shown below. Analyze the data to determine how effective these 3 therapists are at treating depression (assume that before the treatment, all 3 groups of patients had the same average depression score).

Therapist 1	Therapist 2	Therapist 3
35 37 35 37 36 33 39	36 37 37 31 39 35 32	29 32 25 28 33 30 32

a) SPSS output

b) SPSS graph

c) APA-style Results section

4. In light of all the weight loss misinformation and fad diets, a medical researcher determines to evaluate several of them. She randomly assigns volunteers (identified as clinically obese) to 1 of 4 diets. She is a firm believer in the benefits of exercise, so she also assigns them to either the exercise or no exercise group. After 3 months, she compares the pounds lost for each condition. Was there a significant effect of the diets and exercise on weight loss?

Exercise	Low Carb	South Beach	Adkins	Weight Watchers
	26 28 30 25 20	28 22 18	25 21 24 29	28 28 30 25 26
No Exercise	15 20 18	18 12 15 15	17 19 28 25 21	34 25 30 28

a) SPSS output

b) SPSS graph

c) APA-style Results section

5. Infants exposed to cocaine in their mother's womb are thought to be at high risk for major birth defects. Thirteen infants born to mothers who are addicted to cocaine are administered the Brazelton Neonatal Assessment 1 day after birth. For these babies, their scores were as follows:

Brazelton Scores

6.25 4.50 8.50 5.50 3.00 7.90 7.50 5.30 6.80 7.50 5.25 7.45 6.80

For the general population, babies normally score an 8.5. Is this group of babies significantly lower than normal?

a) SPSS output
b) SPSS graph
c) APA-style Results section