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Table 3 Hierarchical multiple regression analyses explaining irritation and emotional exhaustion

From: Hospital physicians’ work stressors in different medical specialities: a statistical group comparison

 

DV: irritation

DV: emotional exhaustion

 

r

β

Δ R 2

r

β

Δ R 2

Step 1: Control variables

  

.02**

  

.05***

Medical speciality

-.03

-.07*

 

.05

.00

 

Professional position

-.12**

-.02

 

-.02***

-.15***

 

Age

-.13***

-.04

 

-.18***

.01

 

Gender

.11**

.12***

 

.10**

.07*

 

Step 2: Task-related stressors

  

.21***

  

.32***

Time pressure

.37***

.16***

 

.48***

.28***

 

Uncertainty

.36***

.05

 

41***

.02

 

Frustration about how work needs to be done

.40***

.12***

 

.52***

.19***

 

Step 3: Interaction-related stressors

  

.07***

  

.05***

Problems in workflow due to supervisors and colleagues

.27***

.08

 

.28***

.02

 

Problems in workflow due to other professional groups

.28***

.03

 

.35***

.11**

 

Social stressors with patients/families

.31***

.04

 

.36***

.03

 

Emotional dissonance

.44***

.26***

 

.45***

.19***

 
  1. DV = dependent variable; r = Pearson correlation coefficient; β = standardised regression coefficient; Δ R 2 = changes in coefficient of determination R 2 to estimate source of variance. Numerical coding for control variables: medical speciality: 1 = Anaesthesia (sorted alphabetically) to 11 = Urology; Professional position: 1 = assistant physician (sorted in rising order), up to 4 = chief physician; gender: 1 = male, 2 = female.
  2. *p < .05; **p < .01; ***p < .001.