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Modelling Vocational Interests: Application of the Personal Globe Inventory in Portugal

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Title: Modelling Vocational Interests: Application of the Personal Globe Inventory in Portugal
Language: English
Authors: M. Morais (ORCID 0000-0002-4387-0431), J. M. T. Silva (ORCID 0000-0002-9995-8221), M. P. Paixão (ORCID 0000-0002-3373-8461), T. Tracey (ORCID 0000-0003-4376-6738)
Source: International Journal for Educational and Vocational Guidance. 2025 25(3):1423-1441.
Availability: Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
Peer Reviewed: Y
Page Count: 19
Publication Date: 2025
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Vocational Interests, Interest Inventories, Foreign Countries, College Students, Componential Analysis, Factor Analysis, Models, Gender Differences, Test Validity
Geographic Terms: Portugal
DOI: 10.1007/s10775-024-09687-2
ISSN: 0251-2513
1573-1782
Abstract: A translated version of the Personal Globe Inventory (PGI, Tracey, 2002) was administered to a Portuguese sample of college students (n = 312) and the data were examined with respect to its internal structure. Results of component analyses suggested, as expected, four substantive factors underlying PGI: General Interest, People/Things, Data/Ideas and Prestige. The randomized test of hypothesized order relations showed that spherical, eight and six (i.e., RIASEC) type models fit the Portuguese data equally well as data from the United States. No structure differences were found across gender. The results support the structural validity of the PGI to Portuguese respondents.
Abstractor: As Provided
Entry Date: 2026
Accession Number: EJ1497116
Database: ERIC
FullText Text:
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  Data: <searchLink fieldCode="AR" term="%22M%2E+Morais%22">M. Morais</searchLink> (ORCID <externalLink term="http://orcid.org/0000-0002-4387-0431">0000-0002-4387-0431</externalLink>)<br /><searchLink fieldCode="AR" term="%22J%2E+M%2E+T%2E+Silva%22">J. M. T. Silva</searchLink> (ORCID <externalLink term="http://orcid.org/0000-0002-9995-8221">0000-0002-9995-8221</externalLink>)<br /><searchLink fieldCode="AR" term="%22M%2E+P%2E+Paixão%22">M. P. Paixão</searchLink> (ORCID <externalLink term="http://orcid.org/0000-0002-3373-8461">0000-0002-3373-8461</externalLink>)<br /><searchLink fieldCode="AR" term="%22T%2E+Tracey%22">T. Tracey</searchLink> (ORCID <externalLink term="http://orcid.org/0000-0003-4376-6738">0000-0003-4376-6738</externalLink>)
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  Data: Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
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  Data: <searchLink fieldCode="DE" term="%22Vocational+Interests%22">Vocational Interests</searchLink><br /><searchLink fieldCode="DE" term="%22Interest+Inventories%22">Interest Inventories</searchLink><br /><searchLink fieldCode="DE" term="%22Foreign+Countries%22">Foreign Countries</searchLink><br /><searchLink fieldCode="DE" term="%22College+Students%22">College Students</searchLink><br /><searchLink fieldCode="DE" term="%22Componential+Analysis%22">Componential Analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Factor+Analysis%22">Factor Analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Models%22">Models</searchLink><br /><searchLink fieldCode="DE" term="%22Gender+Differences%22">Gender Differences</searchLink><br /><searchLink fieldCode="DE" term="%22Test+Validity%22">Test Validity</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Portugal%22">Portugal</searchLink>
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  Data: 10.1007/s10775-024-09687-2
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  Data: A translated version of the Personal Globe Inventory (PGI, Tracey, 2002) was administered to a Portuguese sample of college students (n = 312) and the data were examined with respect to its internal structure. Results of component analyses suggested, as expected, four substantive factors underlying PGI: General Interest, People/Things, Data/Ideas and Prestige. The randomized test of hypothesized order relations showed that spherical, eight and six (i.e., RIASEC) type models fit the Portuguese data equally well as data from the United States. No structure differences were found across gender. The results support the structural validity of the PGI to Portuguese respondents.
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  Data: 2026
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  Data: EJ1497116
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      – SubjectFull: Portugal
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