Beyond IQ: a latent state trait analysis of general intelligence, dynamic decision making, and implicit learning
The present study investigated cognitive performance measures beyond IQ. In particular, we investigated the psychometric properties of dynamic decision making variables and implicit learning variables and their relation with general intelligence and professional success. N=173 employees from differe...
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| Hauptverfasser: | , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
7 July 2011
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| In: |
Intelligence
Year: 2011, Jahrgang: 39, Heft: 5, Pages: 323-334 |
| ISSN: | 1873-7935 |
| DOI: | 10.1016/j.intell.2011.06.004 |
| Online-Zugang: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1016/j.intell.2011.06.004 Verlag, lizenzpflichtig, Volltext: https://www.sciencedirect.com/science/article/pii/S016028961100078X?via%3Dihub#aep-article-footnote-id8 Verlag, lizenzpflichtig, Volltext: https://www.sciencedirect.com/science/article/pii/S016028961100078X 
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| Verfasserangaben: | Daniel Danner, Dirk Hagemann, Andrea Schankin, Marieke Hager, Joachim Funke |
| Zusammenfassung: | The present study investigated cognitive performance measures beyond IQ. In particular, we investigated the psychometric properties of dynamic decision making variables and implicit learning variables and their relation with general intelligence and professional success. N=173 employees from different companies and occupational groups completed two standard intelligence tests, two dynamic decision making tasks, and two implicit learning tasks at two measurement occasions each. We used structural equation models to test latent state-trait measurement models and the relation between constructs. The results suggest that dynamic decision making and implicit learning are substantially related with general intelligence. 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. |
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| Beschreibung: | Online Resource |
| ISSN: | 1873-7935 |
| DOI: | 10.1016/j.intell.2011.06.004 |