Research Article
Gender Disparities in Students’ Entrepreneurial Self-Efficacy (ESE) with Various Areas
Table 2
The results of the independent sample
-test on ESE scores between male and female students.
| Areas of expertise | Gender | | Mean | Std. deviation | | Sig. (2-tailed) |
| Agribusiness & agrotechnology | Male | 54 | 79.506 | 8.874 | 2.553 | .013 | Female | 14 | 71.771 | 14.171 | Health & social work | Male | 32 | 70.100 | 14.375 | -2.093 | .038 | Female | 111 | 75.560 | 12.592 | Inform & comm. technology | Male | 64 | 73.125 | 12.379 | -.820 | .414 | Female | 45 | 74.933 | 9.635 | Business management | Male | 22 | 77.382 | 13.162 | -.056 | .955 | Female | 90 | 77.547 | 12.201 | Maritime affairs | Male | 80 | 70.760 | 13.056 | -2.181 | .031 | Female | 41 | 76.195 | 12.810 | Technology and engineering | Male | 43 | 72.167 | 13.049 | -2.779 | .007 | Female | 54 | 79.259 | 12.022 | Tourism | Male | 13 | 70.831 | 17.182 | -1.298 | .196 | Female | 128 | 75.313 | 11.227 | Total | Male | 311 | 73.361 | 13.041 | -3.170 | .002 | Female | 481 | 76.206 | 11.861 |
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