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Table 4 Summary statistics for the final clustering

From: Predicting implementation of active learning by tenure-track teaching faculty using robust cluster analysis

Variable

Traditional cluster

Active cluster

All classes

Faculty type

 Teaching faculty

17 (22%)

22 (47%)

39 (31%)

 Research faculty

39 (50%)

13 (28%)

52 (42%)

 Lecturers

22 (28%)

12 (26%)

34 (27%)

Faculty rank

 Assistant

32 (41%)

28 (60%)

60 (48%)

 Associate

17 (22%)

10 (21%)

27 (22%)

 Full

29 (37%)

9 (19%)

38 (30%)

Years of teaching

9 (6)

9 (7)

9 (6)

Gender

 Female

33 (42%)

26 (55%)

59 (47%)

 Non-female

45 (58%)

21 (45%)

66 (53%)

Campus

 1

4 (5%)

11 (23%)

15 (12%)

 2

18 (23%)

3 (6%)

21 (17%)

 3

56 (72%)

33 (70%)

89 (71%)

Discipline

 Biological Sciences

15 (19%)

24 (51%)

39 (31%)

 Physical Sciences

30 (38%)

6 (13%)

36 (29%)

 I &C Sciences

15 (19%)

11 (23%)

26 (21%)

 Engineering

18 (23%)

6 (13%)

24 (19%)

Class size

 Small (0–99)

16 (21%)

17 (36%)

33 (26%)

 Medium (100–199)

34 (44%)

9 (19%)

43 (34%)

 Large (200 +)

28 (36%)

21 (45%)

49 (39%)

 

\(n_0\) = 78

\(n_1\) = 47

n = 125

  1. Summary of instructor and classroom demographics for the traditional-lecture and active-learning clusters. The number and the conditional percent (given cluster) are presented in parentheses for categorical variables. The mean and standard deviation (in parentheses) are presented for the quantitative variable