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Bitte verwenden Sie diesen Link, wenn Sie dieses Dokument zitieren oder verlinken wollen: https://nbn-resolving.org/urn:nbn:de:gbv:9-opus-33189

Knowledge Is Power for Medical Assistants: Crystallized and Fluid Intelligence As Predictors of Vocational Knowledge

  • Medical education research has focused almost entirely on the education of future physicians. In comparison, findings on other health-related occupations, such as medical assistants, are scarce. With the current study, we wanted to examine the knowledge-is-power hypothesis in a real life educational setting and add to the sparse literature on medical assistants. Acquisition of vocational knowledge in vocational education and training (VET) was examined for medical assistant students (n = 448). Differences in domain-specific vocational knowledge were predicted by crystallized and fluid intelligence in the course of VET. A multiple matrix design with 3 year-specific booklets was used for the vocational knowledge tests of the medical assistants. The unique and joint contributions of the predictors were investigated with structural equation modeling. Crystallized intelligence emerged as the strongest predictor of vocational knowledge at every stage of VET, while fluid intelligence only showed weak effects. The present results support the knowledge-is-power hypothesis, even in a broad and more naturalistic setting. This emphasizes the relevance of general knowledge for occupations, such as medical assistants, which are more focused on learning hands-on skills than the acquisition of academic knowledge.

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Metadaten
Author: Anne Moehring, Ulrich Schroeders, Oliver Wilhelm
URN:urn:nbn:de:gbv:9-opus-33189
DOI:https://doi.org/10.3389/fpsyg.2018.00028
ISSN:1664-1078
Parent Title (English):Frontiers in Psychology
Publisher:Frontiers Media S.A.
Document Type:Article
Language:English
Date of first Publication:2018/02/01
Release Date:2020/10/09
Tag:crystallized intelligence; fluid intelligence; knowledge-is-power; medical assistants; vocational education and training
GND Keyword:-
Volume:9
Faculties:Universitätsmedizin / Institut für Epidemiologie u. Sozialmedizin
Licence (German):License LogoCreative Commons - Namensnennung