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Abstract
The present thesis investigates cognitive performance measures beyond IQ. I investigated the psychometric properties of implicit learning variables and dynamic decision making variables and their relation with general intelligence and professional success. The results suggest that dynamic decision making and implicit learning are substantially related with general intelligence and fit well into a hierarchical model of cognitive abilities. Furthermore, general intelligence is the best predictor for income, social status, and educational attainment. Dynamic decision making can predict supervisor ratings even beyond general intelligence.
Translation of abstract (English)
The present thesis investigates cognitive performance measures beyond IQ. I investigated the psychometric properties of implicit learning variables and dynamic decision making variables and their relation with general intelligence and professional success. The results suggest that dynamic decision making and implicit learning are substantially related with general intelligence and fit well into a hierarchical model of cognitive abilities. Furthermore, general intelligence is the best predictor for income, social status, and educational attainment. Dynamic decision making can predict supervisor ratings even beyond general intelligence.
Document type: | Dissertation |
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Supervisor: | Hagemann, Prof. Dr. Dirk |
Date of thesis defense: | 12 October 2011 |
Date Deposited: | 13 Oct 2011 14:12 |
Date: | 2011 |
Faculties / Institutes: | The Faculty of Behavioural and Cultural Studies > Institute of Psychology |
DDC-classification: | 150 Psychology |
Controlled Keywords: | Implizites Lernen, Intelligenzstruktur, Intelligenzquotient, intelligence |
Uncontrolled Keywords: | Intelligenz , Komplexes Problemlösen , Latent State-Trait Theoriecomplex problem solving , dynamic decision making , latent state-trait theory |