A multivariate discriminant analysis of university students’ career decisions based on career adaptability, social support, academic major relevance, and university life satisfaction
Abstract 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 alre...
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Gespeichert in:
| Autor*in: |
Park, Sung Youl [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2021 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s), under exclusive licence to Springer Nature B.V. 2021 |
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| Übergeordnetes Werk: |
Enthalten in: International journal for educational and vocational guidance - Springer Netherlands, 2001, 22(2021), 1 vom: 25. Mai, Seite 191-206 |
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| Übergeordnetes Werk: |
volume:22 ; year:2021 ; number:1 ; day:25 ; month:05 ; pages:191-206 |
| Links: |
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| DOI / URN: |
10.1007/s10775-021-09480-5 |
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OLC2129985475 |
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10.1007/s10775-021-09480-5 doi (DE-627)OLC2129985475 (DE-He213)s10775-021-09480-5-p DE-627 ger DE-627 rakwb eng 370 VZ 5,3 ssgn Park, Sung Youl verfasserin aut A multivariate discriminant analysis of university students’ career decisions based on career adaptability, social support, academic major relevance, and university life satisfaction 2021 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2021 Abstract 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. Career adaptability Social support Academic major relevance Cha, Seung-Bong aut Joo, Min-Ho (orcid)0000-0002-3399-3278 aut Na, Hyunmi aut Enthalten in International journal for educational and vocational guidance Springer Netherlands, 2001 22(2021), 1 vom: 25. Mai, Seite 191-206 (DE-627)352261218 (DE-600)2085255-1 (DE-576)9352261216 1873-0388 nnns volume:22 year:2021 number:1 day:25 month:05 pages:191-206 https://doi.org/10.1007/s10775-021-09480-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-BIF AR 22 2021 1 25 05 191-206 |
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Abstract 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. © The Author(s), under exclusive licence to Springer Nature B.V. 2021 |
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Abstract 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. © The Author(s), under exclusive licence to Springer Nature B.V. 2021 |
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Abstract 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. © The Author(s), under exclusive licence to Springer Nature B.V. 2021 |
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2024-07-04T03:27:00.863Z |
| _version_ |
1803617431317381120 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">OLC2129985475</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230506003651.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">230506s2021 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s10775-021-09480-5</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2129985475</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s10775-021-09480-5-p</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">370</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">5,3</subfield><subfield code="2">ssgn</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Park, Sung Youl</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">A multivariate discriminant analysis of university students’ career decisions based on career adaptability, social support, academic major relevance, and university life satisfaction</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2021</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© The Author(s), under exclusive licence to Springer Nature B.V. 2021</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract 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). 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7.401806 |