Table 2

Use of Technology by Years in Field, Highest Degree, and Work Setting

 

Gender

Highest Degree

Work setting

Use of Technology

Male
(n=85)

Female
(n=68)

Doctorate
(n=74)

Non-Doctorate
(n=79)

Academic
(n=73)

Private Practice/
Other
(n=80)

Scantron or bubblesheet

38(45%)

31(46%)

40(54%)

28(35%)

44(60%)

24(30%)

Extracting data by printout from existing databases

36(42%)

28(41%)

30(41%)

33(42%)

36(49%)

27(34%)

Extracting data electronically from existing databases

46(54%)

28(41%)

43(58%)

30(38%)

40(55%)

33(41%)

Electronic surveys

29(43%)

11(16%)

26(35%)

13(16%)

20(27%)

19(24%)

Bio-electrical monitoring

5(6%)

0(0%)

3(4%)

2(3%)

2(3%)

3(4%)

Electronic testing

37(44%)

21(31%)

33(45%)

24(30%)

37(51%)

20(25%)

Searching for data through Internet

49(58%)

40(59%)

47(64%)

41(52%)

46(63%)

42(52%)

Using desktop-based databases

39(46%)

24(35%)

30(41%)

33(42%)

32(44%)

31(39%)

Using mainframe-based databases

23(27%)

14(21%)

18(24%)

18(23%)

23(32%)

13(16%)

Using desktop-based spreadsheets

47(55%)

25(37%)

40(54%)

31(39%)

36(49%)

35(44%)

Using mainframe-based spreadsheets

21(25%)

14(21%)

24(32%)

11(14%)

26(36%)

9(11%)

Graphing packages

27(32%)

13(19%)

21(28%)

18(23%)

23(32%)

16(20%)

Qualitative analysis packages

5(6%)

0(0%)

4(5%)

1(1%)

5(7%)

0(0%)

Structural modeling programs

9(11%)

5(7%)

12(16%)

2(3%)

13(18%)

1(1%)