Do the programs differ in terms of student employment

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Reference no: EM131227592

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

 

Verified Expert

This task provides a clear working example of interpreting chi - square test for independence. Chi - square test for independence was normally used to determine the association between two qualitative variables. if there is an association, then the researcher try to determine the strength and the direction of the relationship between two qualitative variables.

Reference no: EM131227592

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len1227592

10/1/2016 3:24:33 AM

Complete exercise 1 on the attached document NOTE: Your response does not need to be in memo form. But, make sure to discuss each of the cross-tabulation tables (just A-D) and their measures of association (direction, strength, statistical significance). Assume the following p-values for the measures of association in each of the tables: A: .033 B: .217 C: .003 D: .001

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