Table 5 Complexity dimension: results of the four-factor EFA and CFA model with reduced variable sets

cv1

Monitoring much information

0.96*

0.05

0.02

− 0.01

0.82

cv2

Multitasking

0.28*

0.07

0.28*

0.26*

0.75

cv3

Analysing much information

0.61*

− 0.13

0.06

0.21

0.81

Alpha subdimension “variety” = 0.84

cde1

Depending on others’ work

0.11

0.72*

0.01

0.06

cde2

Schedule depending on others

0.03

0.68*

− 0.04

− 0.14*

cde3

Depending on others’ results

− 0.07*

0.84*

0.02

0.04

Alpha subdimension “dependency” = 0.78

cdy3

Unforeseen situations

− 0.08*

0.02

0.81*

0.14*

0.76

cdy4

Spontaneous reactions

0.08*

− 0.02

0.93*

− 0.11*

0.77

cdy5

Problems without answers

0.05

0.05

0.51*

0.28*

0.80

Alpha subdimension “dynamics-reactive” = 0.85

cdy6

Anticipating problems

0.17

0.03

0.08

0.59*

0.77

cdy7

New, unfamiliar tasks

0.24

− 0.07

− 0.06

0.49*

0.58

cdy8

Decisions under uncertainty

0.01

0.09

0.10

0.62*

0.68

Alpha subdimension “dynamics-proactive” = 0.67

Factor correlation

 F1

1.00

1.00

 F2

0.14

1.00

–

–

 F3

0.56

0.18

1.00

0.81

–

1.00

 F4

0.63

0.14

0.53

1.00

0.90

–

0.76

1.00

Model fit, N

\(\chi^{2} (24)\) = 69.672 (p = 0.000);

RMSEA = 0.068 (90% CI: (0.050, 0.087)); CFI = 0.975; TLI = 0.931; N = 411

\(\chi^{2} (24)\) = 62.697 (p = 0.000);

RMSEA = 0.065 (90% CI: (0.046, 0.084)); CFI = 0.973; TLI = 0.957; N = 411