Table 4 Hierarchical linear regression models predicting burnout

Step 1

0.05*

.07*

.05***

0.01

 Gender^b

-0.23*

-0.28**

-0.17**

-0.07

 Age

-

-

-0.02

-0.04

Step 2

 < 0.01

.01

.01

0.06**

 Managerial position^c

-0.06

-

-0.04

-0.20**

 Number of employees^d

-

-

-

-

 Total working time

-

-

0.05

0.06

Step 3

 < 0.01

.05**

.04**

.01

 P-E fit masculinity

-

-

0.15**

-

 P-E fit masculinity*gender

 < 0.01

-

-

-

 P-E fit masculinity* managerial position

-

0.24***

-

-0.09

Step 4

 < 0.01

- < 0.01

.05***

.03*

 P-E fit feminity

0.03

-

-0.22***

-0.24

 P-E fit feminity*gender

-

-

-

0.06

 P-E fit feminity* managerial position

-

-

-

-

Total R^b

0.06

0.11

0.14

0.11

 Total F-Test

F (105) = 1.56 on 4, p = .19

F (122) = 7.51 on 2,, p < .001

F (303) = 8.33 on 6,, p < .001

F (189) = 2.82 on 8,, p = .006

 n

110

125

310

198