Descriptive statistics, variable inter-correlations and reliability estimates
| Variable | Mean | SD | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 Gender | 1.49 | 0.50 | – | ||||||||
| 2 Age | 2.38 | 0.93 | −0.129** | – | |||||||
| 3 Education | 2.28 | 0.92 | 0.308*** | 0.082 | – | ||||||
| 4 Tenure | 2.32 | 1.00 | 0.020 | 0.392*** | −0.041 | – | |||||
| 5 EE | 2.66 | 0.89 | 0.009 | 0.036 | −0.003 | 0.063 | (0.893) | ||||
| 6 SSG | 3.26 | 1.06 | −0.015 | 0.016 | −0.006 | 0.028 | 0.031 | (0.920) | |||
| 7 JSE | 3.55 | 0.92 | −0.077 | 0.019 | 0.089 | 0.072 | −0.097* | 0.131** | (0.889) | ||
| 8 PE | 3.30 | 1.09 | 0.035 | −0.036 | 0.018 | 0.001 | 0.139** | 0.263*** | 0.183*** | (0.903) | |
| 9 CWB | 1.75 | 1.05 | 0.004 | 0.134** | −0.081 | 0.161** | 0.362*** | 0.072 | −0.093 | 0.204*** | (0.932) |
| Variable | Mean | SD | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 Gender | 1.49 | 0.50 | – | ||||||||
| 2 Age | 2.38 | 0.93 | −0.129** | – | |||||||
| 3 Education | 2.28 | 0.92 | 0.308*** | 0.082 | – | ||||||
| 4 Tenure | 2.32 | 1.00 | 0.020 | 0.392*** | −0.041 | – | |||||
| 5 EE | 2.66 | 0.89 | 0.009 | 0.036 | −0.003 | 0.063 | |||||
| 6 SSG | 3.26 | 1.06 | −0.015 | 0.016 | −0.006 | 0.028 | 0.031 | ||||
| 7 JSE | 3.55 | 0.92 | −0.077 | 0.019 | 0.089 | 0.072 | −0.097* | 0.131** | |||
| 8 PE | 3.30 | 1.09 | 0.035 | −0.036 | 0.018 | 0.001 | 0.139** | 0.263*** | 0.183*** | ||
| 9 CWB | 1.75 | 1.05 | 0.004 | 0.134** | −0.081 | 0.161** | 0.362*** | 0.072 | −0.093 | 0.204*** |
Note(s): n = 434. EE = Emotional exhaustion; SSG = Supervisor-subordinate guanxi; JSE = Job self-efficacy; PS = Psychological entitlement; CWB = Counterproductive work behaviors. Diagonal presents Cronbach’s alpha in boldface. *p < 0.05, **p < 0.01, ***p < 0.001
Source(s): Authors’ work