Skip to main content

Table 1 Number of students, differences between unsupervised and supervised assessment items (percentage point), and unusual patterns (UP % of students) by academic area

From: Can we detect contract cheating using existing assessment data? Applying crime prevention theory to an academic integrity issue

  

Unsupervised% − supervised%

     

Academic area

N

Avg.

SD

UP1%

UP2%

UP3%

UP4%

UP5%

Justice studies (BJU)

354

1.9

14.1

1.7%

4.2%

0.0%

0.0%

1.4%

Criminology (CRM)

641

6.4

17.7

8.4%**

14.5%**

1.7%**

1.9%**

9.7%**

Bachelor Law (LAW)

1282

5.8

14.2

5.5*%

8.5%

0.9%

0.7%

4.7%

Legal studies (LEG)

240

1.1

14.9

3.8%

5.4%

0.4%

0.8%

4.6%

Bachelor Law (LLB)

1161

3.6

14.0

3.0%

6.6%

0.3%

0.3%

4.2%

Master Law (LLM)

120

0.1

13.2

1.7%

2.5%

0.0%

0.0%

1.7%

Total

3798

4.4

14.9

4.6%

8.1%

0.7%

0.7%

5.0%

Inverse rule violation

1.2%

2.6%

0.1%

0.4%

4.9%

  1. Z-proportion indicated significantly larger more frequent relative to the whole sample *p < .05, **p < .01 (Z > 1.64, one-tailed)