LESSON 36

Scenario:  Terrill is interested in assessing how much women value their careers.  He develops a 12 item scale, the Saxon Career Values Scale (SCVS).  He has 100 college women take the SCVS.  All of the items reflect the value women place on having a career versus having a family.  Students are asked to response to each on a 4-pint scale, with 0 indicating "disagree" and 3 indicating "agree".   As shown in Table 47:

Variables Definition
Q1 I consider marriage and having a family to be more important than a career.
Q2 To me, marriage and family are as important as having a career.
Q3 I prefer to pursue my career without the distractions of marriage, children, or a household.
Q4 I would rather have a career than a family
Q5 I often think about what type of job I’ll have 10 years from now.
Q6. I could be happy without a career
Q7. I don’t need to have a career to be fulfilled
Q8.   I would leave my career to raise my children
Q9. Having a career would interfere with my family responsibilities
Q11. Planning for and succeeding in a career is one of my primary goals.
Q12. I consider myself to be very career-minded

1. Conduct a factor analysis.  How many factors underlie the SCVS based on the Scree plot?
2. How many factors underline the SCVS based on the eigenvalue-greater-than1 criterion?
3. Write a Results section reporting your analyses.
   

LESSON 37

The data for Exercises 4 through 7 are in the data tile named Lesson 37aerrise File 2 on the Web at http://wwwprenhall.com/greensalkind. The data are based on the following research problem.

Jessica is interested in assessing humor demeaning to others versus self-deprecating humor. She develops a 10-item measure in which some items represent humor demeaning to others (Don Rickles items), while other items reflect self-deprecating humor (Woody Allen items). She administers her measure to 100 college students. Students are asked to respond to each on a 5-point scale with 1 indicating "disagree" and 5 indicating "agree." Jessica computes a total score by reverse-scaling the Woody Allen items and then summing all items. The variables in the data set are shown in Table 51.

Table 51

Items from a Humor Measure

Variables Definition

item01 Like to make fun of others. (Don Rickles)

item02 I make people laugh by making fun of myself. (Woody Allen)

item03 People find me funny when I make jokes about others. (Don Rickles)

item04 I talk about my problems to make people laugh. (Woody Allen)

item05 I frequently make others the target of my jokes. (Don Rickles)

item06 People Find me funny when I tell them about my failings. (Woody Allen)

item07 I love to get people to laugh by using sarcasm.,(Don Rickles)

item08 I am funniest when I talk about my own weaknesses. (Woody Allen)

item09 I make people laugh by exposing other people's stupidities. (Don Rickles)

item10 I am funny when / tell others about the dumb things I have done. (Woody Allen)

4. Compute a. reliability analysis on the total score, using coefficient alpha.

5. Conduct the analysis again, this time computing a split-half reliability. coefficient. Can you justify the method you chose to split the items?

6. Which estimate of reliability is the more appropriate one? Why?

7. Write a Results section based on your analyses.

LESSON 38

The data for Exercises 5 through 9 are in the data file named Lesson 38 Exercise File 2 on the Web at http://www.prenhall.com/greensalkind. The data are based on the following research problem.

Jessica is interested in assessing humor. She develops a 10-item measure in which some items represent humor demeaning to others (Don Rickles items), while other items reflect self-deprecating humor (Woody Allen items). She administers her measure to 100 college students. Students are asked to respond to each on a 5-point scale with 1 indicating "disagree" and 5 indicating "agree." Table 56 shows the variables in the data set.

Table 56

Items from a Humor Measure

Variables Definition

item01 I like to make fun of others. (Don Rickles)

item02 I make people Laugh by making fun of myself. (Woody Allen)

item03 People find me funny when I make jokes about others. (Don Rickles)

item04 I talk about my problems to make people Laugh. (Woody Allen)

item05 I frequently make others the target of my jokes. (Don Rickles)

item06 People find me funny when I tell them about my failings. (Woody Allen)

item07 I love to get people to laugh by using sarcasm. (Don Rickles)

item08 I am funniest when I talk about my own weaknesses. (Woody Allen)

item09 I make people laugh by exposing other people's stupidities. (Don Pickles)

item10 I am funny when I tell others about the dumb things I have done. (Woody Allen)

5. Conduct an item analysis on this scale for a single dimension. (Note: You will want to reverse-scale either the Woody Allen or Don Rickles items, hut not both sets of items.)

6. Conduct the analysis again, this time computing corrected item—total correlations for separate scales: (1) the Don Rickles scale and (2) the Woody Allen scale.

7. Compute correlations between each item and the other scale to assess discriminant validity.

8. Create a table to summarize your item analysis for the Don Rickles and Woody Allen scales,

9. Write a Results section based on your analyses.

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