Reference no: EM132332493

SPSS Practice Exercises - Chapters 15 and 16

Textbook - IBM SPSS Statistics 23 Step by Step - A Simple Guide and Reference, 14th Edition by Darren George and Paul Mallery.

Chapter 15: Simple Linear Regression

I. Use the anxiety.sav file for exercises that follow (downloadable at the address above).

Perform the 4a - 5a sequences on pages 204 and 205.

• Include output in as compact a form as is reasonable.
• Write the linear equation for the predicted exam score.
• Write the quadratic equation for the predicted exam score.

For subjects numbered 5, 13, 42, and 45

• Substitute values into the two equations and solve. Show work on a separate page.

Then compare in a small table (shown below and similar to that on pane 202)

• The anxiety score for each subject
• Linear equation results,
• Quadratic equation results, and
• Actual exam scores for sake of comparison.

2. Now using the dlyorce.say file, test for linear and curvilinear relations between:

• physical closeness (close) and life satisfaction (Isatisy)
• attributional style (asq) and life satisfaction (Mazy)

Attributional style, by the way, is a measure of optimism-a low score is "pessimistic" and a high score is "optimistic".

Print graphs and write linear and quadratic equations for both. For each of the three analyses in problems 3 and 4:

• Print out the results
• Box the Multiple R.
• Circle the R Square,
• Underline the three (3) B values, and
• Double underline the three (3) Sig of T values.

In a single sentence (just once, not for each of the 3 problems) identify the meaning of each of the final four (4) bulleted items above.

3. First, perform step 5b (p. 206) demonstrating the influence of anxiety and anxiety squared (anxlety2) on the exam score (exam).

4. Now, complete similar procedures for the two relationships shown in problem 2 (from the dIvoree.sav file) and perform the 5 steps bulleted above: Specifically,

• the influence of closeness (closer) and closeness squared (cloud) on life satisfaction (lsatisy), and
• the influence of attributional styk (asq) and the square of attributional style (asq2) on life satisfac¬tion (Isofty).

5. A researcher is examining the relationship between stress levels and performance on a test of cognitive performance. She hypothesizes that stress levels lead to an increase in performance to a point, and then increased stress decreases performance. She tests ten participants, who have the following levels of stress: 10.94, 12.76, 7.62, 8.17, 7.83, 12.22, 9.23, 11.17, 11.88, and 8.18. When site tests their levels of mental performance, she finds the following cognitive performance scores (listed in the same participant order as above): 5.24, 4.64, 4.68, 5.04, 4.17, 6.20, 4.54, 6.55, 5.79, and 3.17. Perform a linear regression to examine the relationship between these variables. What do these results mean?

6. The same researcher tests ten more participants, who have the following levels of stress: 16, 20, 14, 21, 23, 19, 14, 20, 17, and 10. Their cognitive performance scores are (listed in the same participant order): 5.24, 4.64, 4.68, 5.04, 4.17, 6.20, 4.54, 6.55, 5.79, and 3.17. (Note that in an amazing coincidence, these participants have the same cognitive performance scores as the participants in Question 5; this coincidence may save you some typing.) Perform a linear regression to examine the relationship between these variables. What do these results mean?

7. Create a scatter-plot (see Chapter 5) of the variables in Question 6. How do results suggest that linear regression might not be the best analysis to perform?

8. Perform curve estimation on the data from Question 6. What does this tell you about the data that you could not determine from the analysis in Question 6?

9. What is different about the data in Questions 5 and 6 that leads to different results?

Chapter 16: Multiple Regression Analysis

Use the hetping3.sav file for the exercises that follow (downloadable at the address shown above).

Conduct the following THREE regression analyses:

Criterion variables:

1. thelpinz: Time spent helping

2. tqualitz: Quality of the help given

3. tothelp: A composite help measure that includes both time and quality

Predictors: (use the same predictors for each of the three dependent variables)

age: range from 17 to 89

angert: Amount of anger felt by the helper toward the needy friend

effict: Helper's feeling of self-efficacy (competence) in relation to the friend's problem

empathyt: Helper's empathic tendency as rated by a personality test

gender: 1 = female, 2 = male

hclose: Helper's rating of how close the relationship was

hcontrot: helper's rating of how controllable the cause of the problem was

hcopet: helper's rating of how well the friend was coping with his or her problem

hseveret: helper's rating of the severity of the problem

obligat: the feeling of obligation the helper felt toward the friend in need

school: coded from 1 to 7 with 1 being the lowest education, and 7 the highest (> 19 years)

sympathy: The extent to which the helper felt sympathy toward the friend

worry: amount the helper worried about the friend in need

• Use entry value of .06 and removal value of .11.
• Use stepwise method of entry.

Create a table (example below) showing for each of the three analyses Multiple R, R², then each of the variables that significantly influence the dependent variables. Following the R², List the name of each variable and then (in parentheses) list its 13 value. Rank order them from the most influential to least influential from left to right. Include only significant predictors.

Create a table (example below) showing for each of the three analyses Multiple R, R², then each of the variables that significantly influence the dependent variables. Following the R2, List the name of each variable and then (in parentheses) list its salve. Rank order them from the most influential to least influential from left to right. Include only significant predictors.

Note - The assignment is for Chapters 15 & 16. Chapter 15 - 4, 6, 7 and Chapter 16 - 1.

Attachment:- SPSS Assignment Files.rar