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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).