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Table 4.

Relationship between wage and determinant factors (N=1,327)

Characteristics Wage, N (%) P*
150∼200 200∼250 250∼300 300 over
Gender 0.008
Man 18 (11.8) 75 (49.0) 39 (25.5) 21 (13.7)
Woman 177 (15.1) 663 (56.5) 254 (21.6) 80 (6.8)
Age (yr) 0.024
20s 121 (15.2) 467 (58.5) 167 (20.9) 43 (5.4)
30s 60 (14.5) 209 (50.5) 100 (24.2) 45 (10.9)
40s 10 (11.0) 50 (54.9) 20 (22.0) 11 (12.1)
50s and over 4 (16.7) 12 (50.0) 6 (25.0) 2 (8.3)
Marital status 0.086
Single 117 (13.2) 511 (57.5) 197 (22.2) 64 (7.2)
Married 78 (17.8) 227 (51.8) 96 (21.9) 37 (8.5)
Education 0.004
Associate 120 (14.9) 463 (57.6) 165 (20.5) 56 (7.0)
Bachelor 73 (14.3) 272 (53.1) 126 (24.6) 41 (8.0)
Master 2 (20.0) 3 (30.0) 2 (20.0) 3 (30.0)
Doctoral 0 (0.0) 0 (0.0) 0 (0.0) 1 (100)
Position <0.001
Employees 174 (17.0) 598 (58.3) 196 (19.0) 58 (5.7)
Chief salary 15 (8.3) 88 (48.6) 55 (30.4) 23 (12.7)
Department head 6 (5.0) 52 (43.3) 42 (35.0) 20 (16.7)
Region
Metropolitan 39 (7.2) 277 (51.0) 169 (31.1) 58 (10.7) <0.001
Non-metropolitan 156 (19.9) 461 (58.8) 124 (15.8) 43 (5.5)
Types of medical institutions
1st: self-testing (including outsourcing) 97 (15.5) 351 (56.3) 130 (20.8) 46 (7.4) 0.060
1st: self-test not conducted (full consignment) 60 (16.9) 202 (56.9) 71 (20.0) 22 (6.2)
2nd 38 (10.9) 185 (53.2) 92 (26.4) 33 (9.5)
Career (yr) <0.001
<1 76 (17.3) 256 (58.3) 80 (18.2) 27 (6.2)
1∼3.9 54 (15.4) 194 (55.4) 84 (24.2) 18 (5.0)
4∼5.9 46 (15.7) 162 (55.3) 63 (21.5) 22 (7.5)
6∼7.9 7 (4.8) 86 (58.9) 32 (21.9) 21 (14.4)
>8 12 (12.1) 40 (40.5) 34 (34.3) 13 (13.1)
Employment status <0.001
Regular 158 (13.2) 685 (57.1) 263 (21.9) 93 (7.8)
Non-regular 37 (28.9) 53 (41.4) 30 (23.4) 8 (6.3)
Turnover experience 0.819
No 37 (14.2) 138 (53.1) 64 (24.6) 21 (8.1)
Yes (once) 50 (14.8) 190 (56.2) 78 (23.1) 20 (5.9)
Yes (twice) 44 (14.4) 175 (57.4) 65 (21.3) 21 (6.9)
Yes (more than three times) 64 (15.1) 235 (55.4) 86 (20.3) 39 (9.2)

*Calculated by Chi-square or ANOVA test.

Korean J Clin Lab Sci 2023;55:314-23 https://doi.org/10.15324/kjcls.2023.55.4.314
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