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Medical laboratory technicians’ job satisfaction in Generations X, Y, and Z: Findings from an online survey in Austria / Arbeitszufriedenheit österreichischer biomedizinischer Analytiker*innen in den Generationen X, Y und Z: Ergebnisse einer Online-Umfrage aus Österreich

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Aspects of job satisfaction in Gen X (n = 110), Gen Y (n = 170), and Gen Z (n = 91) MLTs.

Gen X (mean, sd) Gen Y (mean, sd) Gen Z (mean, sd) Degrees of freedom (between, within) F p ω2 Effect of size interpretation
Overall job satisfaction 4.88 (1.63) 4.66 (1.65) 5.32 (1.55) 2, 368 4.899 .008 .02 small
Autonomy 4.03 (1.87) 4.27 (1.76) 4.74 (1.75) 2, 368 3.983 .019 .02 small
Recognition 4.14 (2.06) 3.99 (1.93) 4.34 (1.96) 2, 368 .949 .388 .00 negligible
Mentoring and peer support 4.25 (2.11) 4.18 (1.87) 4.93 (1.84) 2, 368 4.875 .008 .02 small
Working times satisfaction 5.50 (1.54) 5.45 (1.61) 5.53 (1.58) 2, 368 .073 .930 .00 negligible
Stress 5.17 (1.64) 5.02 (1.63) 4.51 (1.64) 2, 368 4.530 .011 .02 small
Income – realization 5.14 (1.52) 4.71 (1.58) 5.49 (1.45) 2, 368 8.278 <.001 .04 small
Work-life balance – realization 4.31 (1.66) 4.55 (1.74) 5.00 (1.67) 2, 368 4.197 .016 .02 small
Positive impact – realization 5.31 (1.76) 5.30 (1.52) 5.66 (1.39) 2, 368 1.771 .172 .00 negligible
Positive relationships realization 5.10 (1.52) 5.25 (1.28) 5.43 (1.49) 2, 368 1.346 .261 .00 negligible
Learning and development – realization 4.31 (1.75) 4.11 (1.85) 4.32 (1.66) 2, 368 0.629 .534 .00 negligible
Supervisors - realization 4.22 (1.97) 4.24 (1.89) 4.63 (2.03) 2, 368 1.432 .240 .01 small

Gap between importance and realization in aspects of career success (Mayrhofer et al., 2016).

Importance (median, IQR) Realization (median, IQR) z p r Effect size interpretation
Gen X (n = 110)
Relationships 7 (6.7) 5 (4.6) −6.78 <.001 −0.46 medium
Learning and development 7 (6.7) 4 (3.6) −6.98 <.001 −0.47 medium
Work-life balance 7 (6.7) 4.5 (3.6) −7.68 <.001 −0.52 large
Income 7 (6.7) 5.5 (4.6) −5.82 <.001 −0.39 medium
Meaningful contribution 7 (6.7) 6 (4.7) −6.01 <.001 −0.41 medium
Supervisors 7 (6.7) 4 (2.6) −7.42 <.001 −0.50 large
Gen Y (n = 169)
Relationships 7 (6.7) 5 (5.6) −8.88 <.001 −0.48 medium
Learning and development 7 (6.7) 4 (3.6) −9.85 <.001 −0.54 large
Work-life balance 7 (7.7) 5 (3.6) −9.59 <.001 −0.52 large
Income 7 (6.7) 5 (4.6) −9.96 <.001 −0.54 large
Meaningful contribution 7 (6.7) 6 (4.7) −7.50 <.001 −0.41 medium
Supervisors 7 (6.7) 4 (2.75.6) −9.78 <.001 −0.53 large
Gen Z (n = 91)
Relationships 7 (6.7) 6 (5.7) −5.76 <.001 −0.43 medium
Learning and development 7 (5.7) 4 (3.5) −7.05 <.001 −0.52 large
Work-life balance 7 (7.7) 5 (4.6) −6.53 <.001 −0.48 medium
Income 7 (6.7) 6 (5.7) −4.96 <.001 −0.37 medium
Meaningful contribution 7 (6.7) 6 (5.7) −2.81 .005 −0.21 medium
Supervisors 7 (6.7) 5 (3.6) −5.91 <.001 −0.44 medium

Predictors of overall job satisfaction in MLTs.

b SE b ß Effect size interpretation VIF p
Gen X (n = 110, R2 = .69, p < .001, Durbin-Watson: 2.02)
Constant −0.20 0.41 .961
Recognition 0.38 0.06 .48 medium 2.06 <.001
Relationships – realization 0.32 0.68 .30 medium 1.47 <.001
Working times satisfaction 0.19 0.06 .18 small 1.21 .003
Work Life Balance – realization 0.17 0.07 .18 small 1.27 .014
Supervisor – realization −0.13 0.59 −.16 small 1.84 .034
Learning and development – realization 0.11 0.06 .12 small 1.47 .073
Gen Y (n = 169, Corr. R2 = .57, p < .001, Durbin-Watson: 1.80)
Constant 0.49 0.41 .906
Recognition 0.33 0.06 .39 medium 1.86 <.001
Relationships - realization 0.24 0.08 .18 small 1.40 .002
Autonomy 0.17 0.06 .18 small 1.58 .005
Work-life balance – realization 0.15 0.06 .17 small 1.37 .009
Meaningful contribution – realization 0.11 0.06 .11 small 1.26 .066
Gen Z (n = 91, Corr. R2 = .60, p < .001, Durbin-Watson: 1.95)
Constant 1.25 0.66 .061
Recognition 0.36 0.08 .45 medium 2.43 <.001
Working times satisfaction 0.25 0.07 .25 small 1.18 <.001
Autonomy 0.19 0.07 .21 small 1.52 .012
Relationships – realization 0.21 0.09 .20 small 1.54 .016
Income – realization −.16 0.09 −.15 small 1.42 .069

Characteristics and workplaces of the samples of Gen X (n = 110), Gen Y (n = 170) and Gen Z (n = 91) MLTs.

Gen X Gen Y Gen Z Total
Characteristics
Female, n (%) 102 of 110 (92.7%) 159 of 170 (93.5%) 88 of 91 (96.7%) 349 of 371 (94.1%)
Having children, n (%) 90 of 110 (81.8%) 58 of 170 (34.1%) 1 of 90 (1.1%) 149 of 371 (40.2%)
Weekly working hours, mean (SD) 33.9 (7.39) 34.63 (8.13) 36.46 (7.31) 34.87 (7.76)
Workplaces: institution (multiple assignments possible)
Public hospital n (%) 80 of 110 (72.7%) 111 of 170 (65.3%) 63 of 91 (69.2%) 254 of 371 (68.5%)
University n (%) 17 of 110 (15.5%) 21 of 170 (12.4%) 9 of 91 (9.9%) 47 of 371 (12.7%)
Private laboratory n (%) 6 of 110 (5.5%) 23 of 170 (13.5%) 16 of 91 (7.6%) 45 of 371 (12.1%)
Private hospital n (%) 5 of 110 (4.5%) 10 of 170 (5.9%) 2 of 91 (2.2%) 17 of 371 (4.6%)
Research institute n (%) 4 of 110 (3.6%) 0 of 170 (0%) 4 of 91 (4.4%) 8 of 371 (2.2%)
Workplaces: department (multiple assignments possible)
Central laboratory n (%) 36 of 110 (32.7%) 50 of 170 (29.4%) 27 of 91 (29.7%) 113 of 371 (30.5%)
Haematology n (%) 29 of 110 (26.4%) 27 of 170 (15.9%) 28 of 91 (30.8%) 84 of 371 (22.6%)
Immunohematology n (%) 23 of 110 (20.9%) 32 of 170 (18.8%) 16 of 91 (17.6%) 71 of 371(19.1%)
Molecular biology n (%) 8 of 110 (7.3%) 31 of 170 (18.2%) 19 of 91 (20.9%) 58 of 371 (15.6%)
Immunology n (%) 16 of 110 (14.5%) 17 of 170 (10%) 14 of 91 (15.4%) 47 of 371 (12.7%)
Functional diagnostics (cardiology, neurology, pneumology) n (%) 18 of 110 (16.4%) 11 of 170 (6.5%) 11 of 91 (12.1%) 40 of 371 (10.8%)
Microbiology n (%) 7 of 110 (6.4%) 20 of 170 (11.8%) 14 of 91 (15.4%) 41 of 371 (11.1%)
Histology n (%) 8 of 110 (7.3%) 17 of 170 (10%) 9 of 91 (9.9%) 34 of 371 (9.2%)
eISSN:
2296-990X
Langues:
Anglais, Allemand
Périodicité:
Volume Open
Sujets de la revue:
Medicine, Clinical Medicine, other