Table 4

Results from hierarchical multiple linear regression

Unstand.

coefficients

Stand.

coefficients

Collinearity statistics

Sign.

level

Corr.

R2

R2-changes


B

Standard error

Beta

Tolerance

VIF

1

(Variable)

3.44

.408

.000***

0.089

.099

gender

-.086

.151

-.033

.971

1.03

.569

age

.024

.011

.183

.451

2.21

.033*

professional experience

.242

.140

.146

.458

2.18

.086

2

(Variable)

5.875

.582

.000***

0.180

.091

gender

-.180

.144

-.069

.958

1.04

.214

age

.026

.010

.199

.451

2.21

.015*

professional experience

.243

.133

.147

.458

2.18

.069

workload

-.124

.022

-.308

.981

1.01

.000***

3

(Variable)

3.392

.582

.000***

0.366

.186

gender

-.128

.127

-.049

.956

1.04

.314

age

.015

.009

.116

.444

2.25

.108

professional experience

.255

.117

.155

.458

2.18

.030*

workload

-.089

.020

-.222

.944

1.05

.000***

social capital

.155

.017

.445

.935

1.07

.000***


*Dependent variable: job satisfaction; * = p ≤ 0.05; ** = p ≤ 0.01; *** = p ≤ 0.001

Ommen et al. BMC Health Services Research 2009 9:81   doi:10.1186/1472-6963-9-81

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