Table 2
Use
of Technology by Years in Field, Highest Degree, and Work Setting
|
|
Gender |
Highest Degree |
Work setting |
|||
Use of Technology |
Male |
Female |
Doctorate |
Non-Doctorate |
Academic |
Private Practice/ |
|
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%) |