A test of the generalizability of a recently suggested conceptual model for assessment center ratings
Autor: | Klaus G. Melchers, Martin Kleinmann, Natalia Merkulova, Tibor Szvircsev Tresch, Hubert Annen |
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Přispěvatelé: | University of Zurich, Merkulova, Natalia |
Rok vydání: | 2016 |
Předmět: |
Organizational Behavior and Human Resource Management
10093 Institute of Psychology 05 social sciences Conceptual model (computer science) Nomological network 3200 General Psychology 050109 social psychology 1407 Organizational Behavior and Human Resource Management Assessment center 3202 Applied Psychology Negative affectivity Test (assessment) DoktoratPsych Erstautor 0502 economics and business 0501 psychology and cognitive sciences Generalizability theory Dimension (data warehouse) 150 Psychology Psychology Social psychology Incremental validity 050203 business & management General Psychology Applied Psychology Cognitive psychology |
Zdroj: | Human Performance. 29:226-250 |
ISSN: | 1532-7043 0895-9285 |
DOI: | 10.1080/08959285.2016.1160093 |
Popis: | The present study replicated and extended research concerning a recently suggested conceptual model of the underlying factors of dimension ratings in assessment centers (ACs) proposed by Hoffman, Melchers, Blair, Kleinmann, and Ladd that includes broad dimension factors, exercise factors, and a general performance factor. We evaluated the criterion-related validity of these different components and expanded their nomological network. Results showed that all components (i.e., broad dimensions, exercises, general performance) were significant predictors of training performance. Furthermore, broad dimensions showed incremental validity beyond exercises and general performance. Finally, relationships between the AC factors and individual difference constructs (e.g., Big Five, core self-evaluations, positive and negative affectivity) supported the construct-related validity of broad dimensions and provided further insights in the nature of the different AC components. |
Databáze: | OpenAIRE |
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