• Title/Summary/Keyword: Weighted linear discriminant analysis

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Does College Experience Effect Job Quality Of Science And Engineering Graduates? -Focusing On Gender Gap (이공계 대학생의 대학생활 경험과 취업의 질 : 성별차이를 중심으로)

  • Shin, Ha-young;Moon, Bo-Eun
    • Journal of Engineering Education Research
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    • v.20 no.5
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    • pp.59-73
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    • 2017
  • This study aims to examine whether a gender works to make the difference on the university experiences of natural sciences and engineering major students; and the income and quality gap between the graduates. In this study, university experiences means job market and job searching related experiences such as job fair attending, The main research questions are as follows; fist, what are the significant university experiences related job preparation and application, and is there a gender gap on those experiences? Second, how is the job market performance of the national sciences and engineering graduates for their income level and quality job, and is there a gender gap on the job market performance of the sample? Third, which variables among the university experiences for job searching and application impacts the job quality and income level of the natural sciences and engineering graduates? To find out the research results, this study conducts a panel data analysis with GOMS (Graduates Occupational Mobility Survey) throughout survey year of 2006 to 2015, towards 568,264 as weighted value number. As analysis methods, this study carries out a descriptive analysis, ANOVA, discriminant analysis, linear regression and T-test. Therefore, here are the brief outputs of the study; first, for natural sciences and engineering students, the off-campus experiences such as job fair, job recruit festival and internship programs are more favored; second, female students are more likely to attend personal and self-driven job preparation programs; third, on job market performance, the graduates' income level and company scale rate are higher in the male but job stability is higher in the female; fourth, as a result of the linear regression, gender factor decides the income level in considerable degree; additionally, gender factor shows the difference of the job satisfaction and self-effectiveness on one's job as a qualitative variables. For obtaining strictness, university program factors are controlled through model fitness process. As above, this study finds out the main factors of university life of natural sciences and engineering graduates which are related their job searching and preparation experiences and figures out stronger factors in job market; and examines the statistically significance of the gender in this casual-effect relationship between job preparation and job quality of the graduates.