Table 1

Means, standard deviations and correlations

VariablesMeanSD123456789101112
1. Protégé gender1.2500.433            
2. Protégé age27.3805.959−0.002           
3. Protégé education level3.6200.993−0.019−0.335**          
4. Protégé job tenure5.0696.238−0.0150.891**−0.532**         
5. Protégé position1.1100.360−0.0680.110−0.1080.170**        
6. Firm10.3700.484−0.050−0.394**0.488**−0.492**−0.181**       
7. Firm20.2100.4080.148*0.308**−0.463**0.356**0.347**−0.395**      
8. Mentor–protégé gender difference0.0060.4900.581−0.071−0.010−0.049−0.1250.036−0.011     
9. Mentor–protégé age difference8.7717.100−0.013−0.3400.151−0.297−0.1110.256−0.0880.035    
10. Protégé negative mentoring experiences2.2611.094−0.0460.001−0.0250.0720.0990.0280.103−0.036−0.061   
11. Harmonious work passion4.1280.768−0.0890.054−0.0110.0620.084−0.138*−0.0780.024−0.130*−0.245**  
12. Turnover intention2.6381.437−0.036−0.104−0.048−0.0620.0680.132*0.181**−0.0730.126*0.534**−0.453** 
13. Moqi with the mentor4.2560.720−0.0900.134*0.0720.0830.107−0.012−0.1170.004−0.076−0.333**0.606**−0.327**

Note(s):N = 281. Protégé gender was coded as 0 = male, 1 = female. Protégé age and job tenure were coded in years. Protégé education level was coded as 1 = junior high school or below, 2 = high school, 3 = associate degree, 4 = bachelor’s degree and 5 = master’s degree or above. Protégé position was coded as 1 = first-line employees, 2 = first-line managers, 3 = middle managers, 4 = top managers and 5 = CEO

*p < 0.05, **p < 0.01. Two-tailed tests

Source(s): Authors’ own creation

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