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The German O*NET Interest Profiler Short Form
[journal article]
Abstract
Holland's RIASEC model is the dominant framework to conceptualize vocational interests. It describes vocational interests with six broad domains: realistic, investigative, artistic, social, enterprising, and conventional. The O*NET Interest Profiler Short Form is a freely accessible inventory measur... view more
Holland's RIASEC model is the dominant framework to conceptualize vocational interests. It describes vocational interests with six broad domains: realistic, investigative, artistic, social, enterprising, and conventional. The O*NET Interest Profiler Short Form is a freely accessible inventory measuring vocational interests according to Holland's model with 60 items. With this manuscript, we provide a translation of the inventory into German and evaluate the scores’ psychometric qualities, construct-related and criterion-related validity. We used data from an age-diverse (N = 276) and high-school sample (N = 672). Internal consistency estimates of the scale scores were adequate. Randomization tests and multidimensional scaling showed that the scores' structural properties mirrored the RIASEC theoretical model. Scale scores were sensitive to gender differences and could predict participants’ actual and ideal occupations with reasonable hit rates. Overall, the German O*NET Interest Profiler Short Form seems apt for usage in career counseling and research settings.... view less
Keywords
measurement; interest; vocational counseling; occupation; career guidance; personality
Classification
Psychological Testing, Psychological Counseling, Psychological Methodology
General Psychology
Free Keywords
O*NET Interest Profiler; RIASEC; interest inventory; vocational interests
Document language
English
Publication Year
2023
Page/Pages
p. 156-167
Journal
Psychological Test Adaptation and Development, 4 (2023) 1
DOI
https://doi.org/10.1027/2698-1866/a000048
ISSN
2698-1866
Status
Published Version; peer reviewed
Licence
Creative Commons - Attribution 4.0
FundingGefördert durch die Deutsche Forschungsgemeinschaft (DFG) - Projektnummer 491156185 / Funded by the German Research Foundation (DFG) - Project number 491156185