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Table 2 Descriptive statistics and correlations of JD-R model variables

From: Modeling students’ instrumental (mis-) use of substances to enhance cognitive performance: Neuroenhancement in the light of job demands-resources theory

    

r

 

Variable

M

SD

1

2

3

4

5

6

7

8

9

10

11

12

1

Work pressure

0.73

0.26

            

2

Self-efficacy

2.97

0.40

-.08

           

3

Decision latitude A

2.12

0.63

-.35

.07

          

4

Decision latitude T

2.90

0.38

.02

.19

.42

         

5

Decision latitude overall

2.64

0.39

-.18

.16

.81

.87

        

6

Control

2.17

0.53

-.38

.13

.61

.33

.54

       

7

Burnout subscale-exhaustion

3.41

1.40

.46

-.28

-.21

-.05

-.14

-.29

      

8

Burnout subscale-cynism

1.93

1.24

.09

-.25

-.16

-.32

-.30

-.20

.41

     

9

Burnout subscale-ineffectivity

2.30

1.02

.19

-.38

-.15

-.20

-.21

-.20

.51

.54

    

10

Burnout-overall

2.57

0.98

.33

-.38

-22

-.21

-.25

-.29

.83

.76

.84

   

11

Intrinsic motivation

3.74

0.65

.12

.28

.09

.30

.24

.16

-.09

-.32

-.27

-.27

  

12

Self-assessed performance

1.75

0.67

.17

-20

-.13

-.10

-.14

-.12

.22

.16

.40

.32

-.27

 
  1. Note. Correlations of .08 and above are significant at p < .001 (two tailed).
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BioPsychoSocial Medicine

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