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The German O*NET Interest Profiler Short Form
[Zeitschriftenartikel]
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... mehr
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.... weniger
Thesaurusschlagwörter
Beruf; Berufsberatung; Interesse; Berufsfindung; Persönlichkeit; Messung
Klassifikation
psychologische Diagnostik und Beratung, psychologische Methoden
Allgemeine Psychologie
Freie Schlagwörter
O*NET Interest Profiler; RIASEC; interest inventory; vocational interests
Sprache Dokument
Englisch
Publikationsjahr
2023
Seitenangabe
S. 156-167
Zeitschriftentitel
Psychological Test Adaptation and Development, 4 (2023) 1
DOI
https://doi.org/10.1027/2698-1866/a000048
ISSN
2698-1866
Status
Veröffentlichungsversion; begutachtet (peer reviewed)
Lizenz
Creative Commons - Namensnennung 4.0
FörderungGefördert durch die Deutsche Forschungsgemeinschaft (DFG) - Projektnummer 491156185 / Funded by the German Research Foundation (DFG) - Project number 491156185