Reference no: EM13922208

SPSS Homework 6 Instructions

Prediction: Bivariate Linear Regression

Part 1:

Note: The z-scoring method used in the practice data file is covered in Lesson 19 during PSYC 354.

Green & Salkind: Lesson 33, Exercises 1, 3-4

The following helpful tips are numbered to correspond with the exercise number to which they refer (a dash indicates that no tips are needed):

1. Though the example in the lesson includes creating a z score variable, this step is not necessary for the homework exercises. (3 pts for output and 3 pts each for a-e)

1. Write the answer to the last part of this question beneath your graph, in sentence form.
2. All homework "Results sections" must follow the example given in the Course Content document "Writing Results of Statistical Tests in Current APA Format" (Note: you do not have to refer to a figure). Note: The statistical statement for a bivariate linear regression must include at least the equation of the line and the confidence interval for the slope (the second row under Confidence Intervals in the output).

Part 2:

1. A community psychologist is interested in whether people's self-reported degree of religious belief  predicts their self-reported feelings of well-being. She administers two questionnaires to 17 individuals, one of which measures degree of religious beliefs (scores range from 1-20 with higher scores indicating higher degree of belief), and another which measures feelings of well-being (scores range from 1-25 with higher scores indicating stronger feelings of well-being).
2. The psychologist compiles the information listed in the table below. Conduct a linear regression to analyze the research question.

The steps will be the same as the ones you have been practicing in Part 1 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.

Table is shown on the following page.

Degree of Religious Belief	Self-Reported Well-Being
14	19
11	17
19	18
6	10
20	22
18	24
18	17
8	11
12	17
10	9
4	14
19	23
17	21
5	12
15	20
3	8
6	9

 

1. SPSS output
2. Construct a scatterplot of the relationship between the 2 variables. Plot the regression line on this graph.
3. Is degree of religious belief predictive of feelings of well-being in this sample? Write a Results section in current APA style describing the outcome. All homework "Results sections" must follow the example given in the SPSS tutorial presentation and the Course Content document "Writing Results of Statistical Tests in Current APA Format" (Note: you do not have to refer to a figure). The statistical statement for a bivariate linear regression must include at least the equation of the line and the confidence interval for the slope (the second row under Confidence Intervals in the output), as well as a decision about the null hypothesis.

Part 3: Cumulative Homework

1. 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). Is there a significant relationship between time of commute and general life stress?
2.  Choose the correct test to analyze this question, set up the SPSS file, and run the analysis. Follow the directions under the table on the following page.

 

Time Spent Commuting to Work (mins.)	PSS® Stress Score
44 20 35 10 20 15 13 19 18 50 60 35 40	6 3 5 2 2 4 3 7 5 9 8 4 5

1.Paste appropriate SPSS output.

2.Paste appropriate SPSS graph.

3.Write a current APA-style Results section based on your analyses. All homework "Results sections" must follow the example given in the SPSS tutorials and the Course Content document "Writing Results of Statistical Tests in APA Format" (note: you do not have to refer to a figure). Remember to include a decision about the null hypothesis.