Questionable Work Practices
The Views of Undergraduate Marketing Students
Judy Sheard, Martin Dick, Selby Markham, Peter Wagstaff
October 2001
Introduction
This is a report on a study that aimed to determine attitudes towards questionable work practices of undergraduate Marketing students within the Faculty of Business and Economics. This is part of a wider project that proposes to:
The longer-term aim of the project is to assist in determining measures that can be taken to address this problem and will facilitate the development of an informed policy on student plagiarism and cheating.
Research Method
Faculty of Business and Economics students who were studying a second undergraduate Marketing subject were surveyed near the end of second semester 2001. A paper-based questionnaire was given to the students in their lecture. The questionnaire contained questions to determine:
The Questionable Work Practice scenarios
A brief description of the questionable work practice scenarios is as follows:
A copy of the Questionable Work Practices survey form can be found at: http://cerg.csse.monash.edu.au/reports/
Demographic Profile
The students surveyed were enrolled in Marketing Theory and Practice. This subject has a total enrolment of ??? however not all students attended the lecture the week the survey was administered. Eighty-nine valid questionnaires were returned. Three of questionnaires were from postgraduate students and these have not been included in the analysis of this data.
The following tables show the numbers of student classified according to categories used in the analysis of the results from the surveys. NR is used to indicate no response was given to this question.
Table 1 Numbers of students classified by year of course
|
1st year |
2nd year |
3rd year |
NR |
|
55 |
21 |
10 |
0 |
Table 2 Numbers of students classified by study mode
|
Full time |
Part time |
NR |
|
80 |
4 |
2 |
Table 3 Numbers of students classified by fee status
|
Full fee paying |
HECS |
Other |
NR |
|
29 |
53 |
1 |
3 |
Table 4 Numbers of students classified by gender
|
Male |
Female |
NR |
|
26 |
57 |
3 |
Table 5 Numbers of students classified by average performance in course to date
|
Fail |
Pass |
Credit |
Distinction |
High Distinction |
NR |
|
0 |
10 |
48 |
22 |
1 |
5 |
Survey Results
Questionable work practice scenarios
Student ratings of acceptability of scenarios and extent of practise of the scenarios
The students were asked to consider 18 different scenarios, each describing a questionable work practice. For each scenario they were asked to rate how acceptable the practice was, whether they had done it, and whether they personally knew someone who had done it. For the ratings of acceptability a 5-point Likert scale was used, where 1 indicates acceptable and 5 indicates not acceptable. The results are shown in the Table 6 below. NR is used to indicate no response was given to the question. The "Acceptable" column shows the percentage of students who rated the scenario as acceptable (1 or 2 on the Likert scale).
|
Table 6 Ratings of Scenarios |
||||||||
|
Scenario |
Acceptability |
Practised personally |
Know someone personally |
|||||
|
Acceptable% |
Mean |
SD |
NR |
Yes |
NR |
Yes |
NR |
|
|
1 |
37.3 |
2.7 |
1.0 |
3.5 |
43.0 |
4.7 |
67.5 |
7.0 |
|
2 |
78.6 |
1.8 |
1.0 |
2.3 |
14.8 |
2.3 |
29.6 |
2.3 |
|
3 |
70.2 |
2.1 |
1.0 |
2.3 |
30.9 |
2.3 |
54.3 |
2.3 |
|
4 |
57.1 |
2.5 |
1.2 |
2.3 |
24.7 |
2.3 |
45.7 |
2.3 |
|
5 |
36.0 |
2.8 |
1.1 |
0 |
41.0 |
0 |
63.9 |
0 |
|
6 |
16.3 |
3.6 |
1.2 |
0 |
10.8 |
0 |
20.5 |
0 |
|
7 |
0 |
4.6 |
0.7 |
0 |
1.2 |
0 |
13.3 |
0 |
|
8 |
3.5 |
4.3 |
0.8 |
0 |
3.6 |
0 |
8.4 |
0 |
|
9 |
43.0 |
2.9 |
1.3 |
0 |
22.9 |
0 |
28.9 |
0 |
|
10 |
0 |
4.8 |
0.5 |
0 |
1.2 |
0 |
2.4 |
0 |
|
11 |
14.0 |
3.7 |
1.2 |
0 |
34.9 |
0 |
33.7 |
0 |
|
12 |
33.7 |
2.9 |
1.1 |
0 |
39.8 |
0 |
57.8 |
0 |
|
13 |
5.8 |
4.3 |
1.0 |
0 |
6.0 |
0 |
25.3 |
0 |
|
14 |
2.3 |
4.7 |
0.7 |
0 |
1.2 |
0 |
6.0 |
0 |
|
15 |
4.7 |
4.5 |
0.9 |
0 |
6.0 |
0 |
24.1 |
0 |
|
16 |
15.3 |
3.7 |
1.2 |
1.2 |
7.2 |
0 |
34.9 |
0 |
|
17 |
14.1 |
3.7 |
1.1 |
1.2 |
29.6 |
2.3 |
38.8 |
3.5 |
|
18 |
8.1 |
4.1 |
1.0 |
0 |
6.0 |
0 |
13.3 |
0 |
Acceptable scenarios
The most acceptable scenarios were 2 and 3. These presented situations where students obtained low level assistance with assignment work.
Other acceptable scenarios (in decreasing order of acceptability) were:
Unacceptable scenarios
The least acceptable were Scenario 10 (theft of an assignment from a lecturer’s pigeonhole) and Scenario 14 (exam cheating).
Other unacceptable scenarios (in increasing order of acceptability) were:
Most practised scenarios
The scenarios describing work practices which the highest numbers of students admitted to having done were:
All of these scenarios were rated in the top seven most acceptable scenarios.
Scenarios 1, 5 and 12 were also those which the highest numbers of students admitted to having known someone personally who had done them.
Least practised scenarios
The scenarios describing work practices which the least numbers of students admitted to having done were:
These scenarios were also all rated as highly unacceptable.
The scenarios describing work practices which the least numbers of students admitted to having known someone personally who had done it were:
Differences in acceptability ratings between groups
Using the major demographic descriptors of gender, fee status (full fee paying or HECS) and study mode (fulltime or part time), comparisons were made for each scenario using an Independent groups t-tests. A probability level of 0.05 was used to test the Null Hypotheses of no difference between the means of the ratings of the acceptability of scenarios. The following results were obtained:
Frequency of student cheating practise
The numbers and percentages of students who have practised each scenario are shown in the Table 7. Scenarios 2 and 3, which are not considered cheating practises, have not been included in these totals. One student claimed to have performed all 16 scenarios.
|
Table 7 Frequency of Cheating Practise |
||
|
Number of scenarios practised |
Number of students |
Percentage of students |
|
0 |
15 |
17.4 |
|
1 |
23 |
26.7 |
|
2 |
8 |
9.3 |
|
3 |
13 |
15.1 |
|
4 |
10 |
11.6 |
|
5 |
6 |
7.0 |
|
6 |
5 |
5.8 |
|
7 |
3 |
3.5 |
|
>7 |
3 |
3.5 |
Reasons for cheating
For this questions students were asked to indicate the likelihood that each reason would cause them to cheat (Table 8). A 5-point Likert scale was used, where 1 indicates not at all and 5 indicates highly likely. NR is used to indicate no response was given to the question.
|
Table 8 Ratings of Causes of Cheating (question 22) |
|||
|
Reason |
Likelihood of causing cheating |
||
|
Mean |
SD |
NR |
|
|
Not enough time |
3.1 |
1.4 |
0 |
|
Too great a workload at university |
3.1 |
1.3 |
0 |
|
Will fail otherwise |
3.2 |
1.4 |
0 |
|
Lazy |
2.0 |
1.2 |
0 |
|
Everyone does it |
1.8 |
1.0 |
0 |
|
Need to get better marks |
2.4 |
1.3 |
1.2 |
|
Parental pressure |
1.9 |
1.1 |
1.2 |
|
Can’t afford to fail |
2.6 |
1.4 |
2.3 |
|
Assignments are too hard |
2.5 |
1.4 |
2.3 |
|
To help a friend |
2.5 |
1.2 |
1.2 |
|
Missed classes due to ill health |
2.2 |
1.3 |
3.5 |
|
Exams for the subject are too hard |
2.5 |
1.4 |
1.2 |
|
Afraid of failing |
2.6 |
1.4 |
1.2 |
|
For a monetary or other reward |
1.6 |
1.0 |
1.2 |
Students ratings were again compared against gender, fee status and study mode. Statistically differences were found where:
Factors inhibiting cheating
Table 9 presents the data on the question which asked them to rate factors or influences which cause them not to cheat. A 5-point Likert scale was used, where 1 indicates not at all and 5 indicates highly likely.
|
Table 9 Ratings of inhibitors of cheating (question 23) |
|||
|
Reason |
Likelihood of preventing cheating |
||
|
Mean |
SD |
NR |
|
|
Want to know what your work is worth |
4.1 |
1.0 |
1.2 |
|
Pride in your work |
4.1 |
0.9 |
1.2 |
|
Can get good marks without cheating |
3.9 |
1.2 |
2.3 |
|
Against your moral values |
3.8 |
1.2 |
1.2 |
|
Against your religious beliefs |
2.3 |
1.5 |
1.2 |
|
Fear of being found out |
3.7 |
1.1 |
1.2 |
|
Never thought about it |
2.9 |
1.4 |
1.2 |
|
Don’t know how to |
2.6 |
1.4 |
1.2 |
|
Fairness to other students |
2.8 |
1.4 |
1.2 |
|
Penalties if caught are too high |
3.9 |
1.2 |
1.2 |
The statistical comparisons for the demographic subgroups produced the following:
Commissioning assignment work
What would you be prepared to pay for an assignment that is worth 40% of the semester’s marks?
Table 10 Payment for Assignment Work (question 20)
|
Payment |
Yes |
|
Wouldn’t pay |
69.8 |
|
< $10% |
4.7 |
|
$10-$19 |
5.8 |
|
$20-$49 |
8.1 |
|
$50-$99 |
5.8 |
|
$100-$199 |
3.5 |
|
$200 plus |
2.3 |
|
NR |
0 |
|
Total |
100.0 |
Cross tabulations performed on the responses classified according to gender, fee status and study mode found no significant differences.
Would you be prepared to write an assignment for a fee?
|
Table 11 Write Assignment for a Fee? (question 21) |
|
|
Yes |
NR |
|
25.6 |
11.6 |
Cross tabulations performed on the responses classified according to gender, fee status and study mode found no significant differences.
Detection of cheating
If as part of the assessment for the assignment, you had to attend an interview with a tutor and explain your work would it:
|
Table 12 Effect of Interviews on Cheating (question 19) |
|
|
Response |
Yes |
|
Reduce the likelihood of you cheating |
24.4 |
|
Have no affect on the likelihood of you cheating |
26.7 |
|
Increase the likelihood of you cheating |
0 |
|
I never cheat so it is irrelevant |
45.3 |
|
NR |
3.5 |
|
Total |
100.0 |
Cross tabulations performed on the responses classified according to gender, fee status and study mode showed that significantly more male students than female students felt that interviews would have no effect on reducing the likelihood of them cheating.
What would you do if you observed someone cheating in an exam?
|
Table 13 Action on Observing Cheating in an Exam (question 24) |
|
|
Response |
Yes |
|
Ignore it |
93.0 |
|
Call the supervisor and inform them |
0 |
|
Talk to the student after the exam |
4.7 |
|
NR |
2.3 |
|
Total |
100.0 |
Cross tabulations performed on the responses classified according to gender, fee status and study mode found no significant differences.
What would you do if you observed someone cheating in an assignment?
|
Table 14 Action on Observing Cheating in an Assignment (question 25) |
|
|
Response |
Yes |
|
Ignore it |
88.4 |
|
Inform the lecturer |
1.2 |
|
Talk to the student about it |
7.0 |
|
NR |
3.5 |
|
Total |
100.0 |
Cross tabulations performed on the responses classified according to gender, fee status and study mode showed that significantly more HECS students would ignore assignment cheating than the full fee paying students.
Student perceptions of staff and University attitudes to prevention of cheating
In your opinion, how strongly do lecturers and tutors, and the University feel about preventing cheating in their subjects?
Table 15 Students’ Perceptions of Attitudes to Prevention of Cheating (questions 26 & 27)
|
Mean |
SD |
NR |
|
|
Lecturers and tutors |
4.1 |
1.0 |
2.3 |
|
University |
4.2 |
0.8 |
2.3 |
For the above two questions Independent groups t-tests performed on the responses classified according to gender, fee status and study mode found no significant differences.
Are you aware of the University regulations on cheating?
Table 16 Aware of regulations on cheating? (question 28)
|
Yes |
NR |
|
89.5 |
1.2 |
Cross tabulations performed on the responses classified according to gender, fee status and study mode found no significant differences.