1. In this made-up example, the department chairs of three IVIPAprograms agreed to collaborate on a study about differences in the student demographics as well as attitudes about their respective programs. One was a large program within a university, one was a small program within a small college, and one was an online program. The three chairs were curious to see if there were variations in attitudes because of the differences in the programs.
A random sample was selected from each school. The survey was confi-dential, and all respondents were assured that only aggregate results would be presented. A small incentive was included in the first mail-out: a school key chain. A second survey was sent to those who had not returned the ques¬tionnaire one week after the deadline. Three weeks later, the nonresponders were called to remind them to complete the survey. Three weeks later, a final postcard reminder was sent out. This extensive follow-up yielded an overall response rate of more than 60 percent in each school; 170 students responded from the large program, 55 from the small program, and 92 from the online program.
You have been asked to analyze the following data shown in Exhibit 14.14 to determine whether the students in the three programs differ, and if so, the strength of those relationships. Of particular interest were other factors that might explain differences in the percentages who would strongly recommend their program to others or not. Please write a short memo summarizing your analysis.
Table A
Does the percentage of students who are the first in their family to pursue a master's degree vary by program?
First in family to pursue master's degree
|
Yes
|
No
|
Total
|
Large MPA program: University
|
39
|
61
|
100
|
Small MPA program: College
|
18
|
82
|
100
|
Online MPA program
|
50
|
50
|
100
|
Total (n = 317)
|
39
|
61
|
100
|
Table B
Does the percentage of men and women vary based on the program?
|
Men |
Women
|
Total
|
Large MPA program
|
43 |
57
|
100
|
Small MPA program
|
46 |
54
|
100
|
Online MPA program
|
36 |
64
|
100
|
Total (n = 317)
|
45 |
55
|
100
|
Table C
Do the programs vary in terms of percentage of students who receive support from employer?
Employer pays cost
All costs Some costs No costs Total
Large MPA program
|
9 |
23 |
68
|
100
|
Small MPA program
|
2 |
4 |
95
|
100
|
Online MPA program
|
30 |
27 |
43
|
100
|
Total (n = 317)
|
|
|
|
100
|
Table D
Do the programs differ in terms of student employment?
|
Not employed
|
Private sector
|
Public sector, not military
|
Military
|
Nonprofit
|
Total
|
Large MPA program
|
10
|
8
|
50
|
19
|
13
|
100
|
Small MPA program
|
46
|
4
|
27
|
2
|
22
|
100
|
Online MPA program
|
10
|
5
|
36
|
46
|
3
|
100
|
Total (n = 317)
|
16
|
6
|
42
|
24
|
12
|
100
|
Table E
Does recommendation of program vary?
Extent of recommendation of program to others
|
Strongly recommend
|
Generally
|
Possibly
|
Generally not
|
Strongly not recommend
|
Total
|
Large MPA program
|
26
|
35
|
26
|
8
|
5
|
100
|
Small MPA program
|
16
|
65
|
15
|
4
|
0
|
100
|
Online MPA program
|
40
|
50
|
10
|
0
|
0
|
100
|
Total (n = 317)
|
30
|
45
|
18
|
5
|
2
|
100
|
Table F
Does class size affect recommendation of program?
Extent of recommendation of program to others
|
Strongly recommend
|
Generally
|
Possibly
|
Generally not
|
Strongly not recommend
|
Total |
Small class (< 20)
|
27
|
61
|
10
|
3
|
9
|
100 |
Medium class (21-30)
|
34
|
42
|
19
|
3
|
2
|
100 |
Large class (31 or more)
|
23
|
38
|
25
|
8
|
6
|
100 |
Total (n = 317)
|
28
|
45
|
19
|
5
|
3
|
100 |
Table G
Does the satisfaction with how much individual attention was received affect the recommendation of the program?
|
Strongly recommend
|
Generally
|
Possibly
|
Generally not
|
Strongly not recommend
|
Total
|
Very satisfied
|
56 |
35 |
8 |
1 |
0 |
100 |
Generally satisfied
|
30 |
51 |
12 |
7 |
0 |
100 |
Neither
|
3 |
66 |
20 |
11 |
0 |
100 |
Generally dissatisfied
|
5 |
16 |
51 |
19 |
9 |
100 |
Very dissatisfied
|
0 |
0 |
60 |
10 |
30 |
100 |
Total (n = 317)
|
28 |
45 |
19 |
5 |
3 |
100 |