Table 3 Multi-level regression models

Clan_CO

0.1204917***

9.07

0.1597953***

8.26

Adhocracy_CO

0.0771315**

2.76

0.007459

0.18

Market_CO

-0.1337026***

-6.21

-0.1562548***

-4.96

Hierarchy_CO

-0.1537486***

-8.36

-0.1880278***

-6.45

Age

-0.0161782

-1.47

-0.0082306

-0.74

-0.0283078*

-2.15

-0.022354

-1.67

-0.0204219

-1.70

-0.0194278

-1.60

-0.0298436**

-2.65

-0.0282873*

-2.52

Gender

-0.1427667

-0.62

-0.161546

-0.72

0.0822964

0.30

0.1479806

0.54

0.0756863

0.30

0.0197324

0.08

-0.0684146

-0.29

-0.0450167

-0.19

Educational_level

0.3089588*

2.26

0.3565551**

2.62

0.3807205*

2.27

0.3104131

1.84

0.3847769*

2.53

0.3902247*

2.56

0.3979017**

2.82

0.4477889**

3.06

IT_experience

0.0038446

0.12

0.0178511

0.58

0.0017332

0.05

0.0001423

0.00

-0.0001292

-0.00

0.0056921

0.16

0.0181211

0.57

0.0283402

0.88

Pub_or_Pri

3.269601***

3.49

-2.666175

-1.81

-0.8577904

-0.78

0.170129

0.16

Clan_CO*Pub_or_Pri

-0.0744968**

-2.63

Adocracy_CO*Pub_or_Pri

0.1192239*

2.19

Market_CO*Pub_or_Pri

0.045347

1.02

Hierarchy_CO*Pub_or_Pri

0.0541163

1.37

Random Effect

Variance Component

Intercept; Slope

0.3367933

0.104813; 6.14e-15

0.1300905

0.0682498; 4.49e-21

0.1193571

0.1230823; 7.02e-14

0.4961523

0.129275; 1.12e-15

Wald X2 (Df)

97.09 (5)

111.64 (7)

18.18 (5)

24.74 (7)

50.84 (5)

52.26 (7)

84.06 (5)

90.29 (7)

Prob > X2

0.0000

0.0000

0.0027

0.0008

0.0000

0.0000

0.0000

0.0000

LR test (vs. linear reg.)

0.0001

0.2296

0.0609

0.6993

0.0510

0.2703

0.0000

0.1887

Var (Residual)

2.094066

2,010941

3.007963

2.940197

2.564107

2.546349

2.196045

2.170528

ICC

0.1385491

0.0495393

0.0414558

0.0226861

0.0444787

0.046108

0.1842926

0.0562113

AIC

639.1471

634.754

697.5377

698.2673

670.2606

675.1609

648.5057

648.2463

BIC

664.3271

669.3765

722.7177

732.8897

695.4405

709.7833

673.6857

682.8688

Obs

172

172

172

172

172

172

172

172