The relations of vocational interests and mathematical literacy: On the predictive power of interest profiles
This study examines the relationships of vocational interests and mathematical literacy both cross-sectionally and longitudinally. Extending previous research, the results of Holland's RIASEC (Realistic, Investigative, Artistic, Social, Enterprising, and Conventional) scale scores are compared...
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| Veröffentlicht in: | Journal of career assessment 2009-11, Vol.17 (4), p.417-438 |
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| container_title | Journal of career assessment |
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| creator | Warwas, Jasmin Nagy, Gabriel Watermann, Rainer Hasselhorn, Marcus |
| description | This study examines the relationships of vocational interests and mathematical literacy both cross-sectionally and longitudinally. Extending previous research, the results of Holland's RIASEC (Realistic, Investigative, Artistic, Social, Enterprising, and Conventional) scale scores are compared with results from a reductionist approach using individual interest profiles (including the parameters level, differentiation, and orientation). Both analyses find significant relations between interests and mathematical literacy. The scale score analyses reveal positive associations of Realistic interests with mathematical literacy, whereas Artistic interests show a negative association. Interest profiles from a dimensional representation show individuals with interest orientations close to the Realistic domain score highest on mathematical literacy, with those with interests in both Artistic and Social domains scoring lowest. Results from profile analyses suggest that interest differentiation moderates the interest-ability relation. Only interest profiles are predictive for mathematical literacy over and above covariates, indicating that interest profiles are more robust predictors than the scale scores. Analyses show that interest profiles are a valid reduction of the scale score models. (DIPF/Orig.). |
| doi_str_mv | 10.1177/1069072709339284 |
| format | Article |
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Extending previous research, the results of Holland's RIASEC (Realistic, Investigative, Artistic, Social, Enterprising, and Conventional) scale scores are compared with results from a reductionist approach using individual interest profiles (including the parameters level, differentiation, and orientation). Both analyses find significant relations between interests and mathematical literacy. The scale score analyses reveal positive associations of Realistic interests with mathematical literacy, whereas Artistic interests show a negative association. Interest profiles from a dimensional representation show individuals with interest orientations close to the Realistic domain score highest on mathematical literacy, with those with interests in both Artistic and Social domains scoring lowest. Results from profile analyses suggest that interest differentiation moderates the interest-ability relation. Only interest profiles are predictive for mathematical literacy over and above covariates, indicating that interest profiles are more robust predictors than the scale scores. Analyses show that interest profiles are a valid reduction of the scale score models. 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Extending previous research, the results of Holland's RIASEC (Realistic, Investigative, Artistic, Social, Enterprising, and Conventional) scale scores are compared with results from a reductionist approach using individual interest profiles (including the parameters level, differentiation, and orientation). Both analyses find significant relations between interests and mathematical literacy. The scale score analyses reveal positive associations of Realistic interests with mathematical literacy, whereas Artistic interests show a negative association. Interest profiles from a dimensional representation show individuals with interest orientations close to the Realistic domain score highest on mathematical literacy, with those with interests in both Artistic and Social domains scoring lowest. Results from profile analyses suggest that interest differentiation moderates the interest-ability relation. Only interest profiles are predictive for mathematical literacy over and above covariates, indicating that interest profiles are more robust predictors than the scale scores. Analyses show that interest profiles are a valid reduction of the scale score models. 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| ispartof | Journal of career assessment, 2009-11, Vol.17 (4), p.417-438 |
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| subjects | Berufsorientierung Comparative Analysis Deutschland Einflussfaktor Empirische Untersuchung Foreign Countries Germany Geschlechtsspezifischer Unterschied Grade 11 Gymnasiale Oberstufe Interessenprofil Interest Inventories Jugendlicher Leistungssteigerung Longitudinal Studies Längsschnittuntersuchung Mathematikunterricht Mathematische Kompetenz Messverfahren Numeracy Predictive Validity Profiles Querschnittuntersuchung Schuljahr 11 Schweiz Schülerleistung Secondary School Students Validität Vocational Interests Österreich |
| title | The relations of vocational interests and mathematical literacy: On the predictive power of interest profiles |
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