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A multivariate discriminant analysis of university students’ career decisions based on career adaptability, social support, academic major relevance, and university life satisfaction
International Journal for Educational and Vocational Guidance ( IF 1.928 ) Pub Date : 2021-05-25 , DOI: 10.1007/s10775-021-09480-5
Sung Youl Park , Seung-Bong Cha , Min-Ho Joo , Hyunmi Na

Career adaptability and its four sub-factors (concern, control, curiosity, and confidence) are helpful in understanding students’ career choices and decisions. A sample of 1,297 university students in Seoul, South Korea, participated in this study. Among them, 728 students (56.13%) had already made their career decision, while 569 (43.87%) had not. A multivariate discriminant analysis was carried out to identify its significance in discriminating students’ career decisions after the execution of two factor analyses to verify construct validity. We concluded that the multivariate function was appropriate for discriminating students’ career decision status, and its predictive accuracy was relatively high based on canonical correlation (.37) and Wilks’ lambda (.87). Career concern was identified as the most discriminate variable.



中文翻译:

基于职业适应性,社会支持,学术专业相关性和大学生活满意度的大学生职业决策的多因素判别分析

职业适应性及其四个子因素(关注,控制,好奇心和信心)有助于理解学生的职业选择和决定。来自韩国首尔的1,297名大学生样本参加了这项研究。其中,有728名学生(56.13%)已做出职业决定,而569名学生(43.87%)尚未做出职业决定。在执行两因素分析以验证构建体有效性之后,进行了多元判别分析,以识别其在区分学生的职业决策中的意义。我们得出的结论是,多元函数适合于区分学生的职业决策状态,并且基于典范相关性(.37)和Wilks'lambda(.87),其预测准确性相对较高。对职业的关注被认为是最有区别的变量。

更新日期:2021-05-25
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