Table 4 Descriptive statistics and correlations (N=372) Variable 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 M SD α 1. Age 25.15 7.09 2. Gender -.02 3. Specialisation: -.08 .02 Tourism 4. Specialisation: .10 Marketing .18** 5. Specialisation: .02 .08 HRM .14** .19** 6. Specialisation: -.08 -.03 Generalist 7. Specialisation: -.05 -.09 -.12* - - Management 8. Specialisation: .09 - -.10 -.13* -.11* -.11* -.09 Other 9. Employment .09 .07 -.02 .00 -.04 -.02 -.05 status: Working .21** PT 10. Employment .20** -.05 -.08 -.02 .08 .01 .05 .00 status: Working FT 11. Self-direction 4.03 .56 .78 .00 .01 -.08 .10 .03 -.01 .06 -.04 .08 .05 12. Values-driven 3.48 .75 .78 .06 -.05 -.02 -.10 .06 .00 .12* -.01 .10* .07 .40** 13. Boundaryless 4.00 .69 .88 -.03 .08 -.04 .08 .10 .07 .02 -.03 -.01 .10 .44** .20** mindset 14. Physical 3.43 .91 .81 .02 -.03 -.06 -.05 -.04 .01 -.02 -.02 .10 .07 -.01 .02 mobility 15. Institution -.10* -.13* .24** .07 .10* - .03 -.03 -.09 .03 Notes: *p < .05 (two-tailed); **p < .01 (two-tailed)
Table 4 Descriptive statistics and correlations (N=372) Variable M SD α 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 1. Age 25.15 7.09 2. Gender -.02 3. Specialisation: Tourism -.08 .02 4. Specialisation: Marketing .10 5. Specialisation: HRM .02 .08 6. Specialisation: Generalist -.08 -.03 7. Specialisation: Management -.05 -.09 -.12* 8. Specialisation: Other .09 -.10 -.13* -.11* -.11* -.09 9. Employment status: Working PT .09 .07 -.02 .00 -.04 -.02 -.05 10. Employment status: Working FT .20** -.05 -.08 -.02 .08 .01 .05 .00 11. Self-direction 4.03 .56 .78 .00 .01 -.08 .10 .03 -.01 .06 -.04 .08 .05 12. Values-driven 3.48 .75 .78 .06 -.05 -.02 -.10 .06 .00 .12* -.01 .10* .07 .40** 13. Boundaryless mindset 4.00 .69 .88 -.03 .08 -.04 .08 .10 .07 .02 -.03 -.01 .10 .44** .20** 14. Physical mobility 3.43 .91 .81 .02 -.03 -.06 .14** -.05 -.04 .01 -.02 -.02 .10 .07 -.01 .02 15. Institution -.10* .19** -.13* .24** .07 .10* .03 -.03 -.09 .03 .21** Notes: *p < .05 (two-tailed); **p < .01 (two-tailed) .18** - - - -