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Journal of Career Assessment
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Article

The Relations of Vocational Interests and Mathematical Literacy: On the Predictive Power of Interest Profiles

Jasmin Warwas, Ph.D.1*, Gabriel Nagy, Ph.D.1, Rainer Watermann, Ph.D.2, and Marcus Hasselhorn, Ph.D.1

1 University of Gottingen
2 University of Goettingen

* To whom correspondence should be addressed. E-mail: warwas{at}dipf.de.


  Abstract

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.

First published on September 25, 2009
Journal of Career Assessment 2009, doi:10.1177/1069072709339284
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