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Karriere-Ressourcen messen

Validierung der deutschsprachigen Version des Karriere-Ressourcen Fragebogens

Published Online:https://doi.org/10.1026/0012-1924/a000219

Zusammenfassung. Die existierende Literatur schlägt eine Vielzahl von potentiellen Prädiktoren für Karriereerfolg vor, welche in ihrer Menge kaum auf eine ökonomische Art erhoben werden können. Um diesen Umstand anzugehen, haben Hirschi, Nagy, Baumeler, Johnston und Spurk (2018) den Karriere-Ressourcen Fragebogen (CRQ; Career Resources Questionnaire) entwickelt und in einer englischsprachigen Version validiert. Basierend auf einer Integration von theoretischer und metaanalytischer Forschung misst der Fragebogen 13 distinkte Faktoren, welche 4 übergeordnete Dimensionen repräsentieren: Wissen und Kompetenzen, Motivation, Umfeld und Aktivitäten bezüglich Karriere. In der vorliegenden Studie wird eine Validierung der deutschsprachigen Version mittels N = 1 666 Personen (Studierende und Berufstätige) vorgenommen. Die Ergebnisse bestätigen die Reliabilität sowie die Faktorstruktur des Fragebogens. Mittels Relative-Weight-Analysen konnte zudem die Wichtigkeit von verschiedenen Faktoren für unterschiedliche Arten von Karriereerfolg gezeigt werden. Das Messinstrument bietet Forschenden und Praktizierenden eine ökonomische, reliable und valide Möglichkeit, um Schlüsselfaktoren für Karriereerfolg zu erfassen.


Assessing Career Resources: Validation of the German-Language Career Resources Questionnaire

Abstract. The existing literature proposes a large number of potential predictors of career success, which makes it difficult to measure such facilitative factors in an economic way. To address this challenge, Hirschi, Nagy, Baumeler, Johnston, and Spurk (2018) developed and evaluated the Career Resources Questionnaire (CRQ). The CRQ measures 13 factors, represented in four higher-level dimensions: Knowledge and Skills, Motivation, Environment, and Activities. In this study, we aimed to validate the German version of the CRQ among 1,666 employees and students. The results support the reliability and factor structure and support concurrent and criterion validity regarding similar measures and different indicators of objective and subjective career success. Moreover, relative-weight analyses show that the relationships between various factors and various types of career success differ. We conclude that the German-language CRQ provides an economic, reliable, and efficient tool for assessing key predictors of career success.

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