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Verfasst von:Greiff, Samuel [VerfasserIn]   i
 Fischer, Andreas [VerfasserIn]   i
 Wüstenberg, Sascha [VerfasserIn]   i
 Sonnleitner, Philipp [VerfasserIn]   i
 Brunner, Martin [VerfasserIn]   i
 Martin, Romain [VerfasserIn]   i
Titel:A multitrait-multimethod study of assessment instruments for complex problem solving
Verf.angabe:Samuel Greiff, Andreas Fischer, Sascha Wüstenberg, Philipp Sonnleitner, Martin Brunner, Romain Martin
E-Jahr:2013
Jahr:23 August 2013
Umfang:18 S.
Teil:volume:41
 year:2013
 number:5
 pages:579-596
 extent:18
Fussnoten:Gesehen am 11.03.2021
Titel Quelle:Enthalten in: Intelligence
Ort Quelle:Greenwich, Conn. : Ablex, 1977
Jahr Quelle:2013
Band/Heft Quelle:41(2013), 5, Seite 579-596
ISSN Quelle:1873-7935
Abstract:Recently published studies on Complex Problem Solving (CPS) suggest that assessments of CPS using multiple complex systems are only moderately related to tests of classical cognitive abilities. Further, CPS assessments show incremental validity beyond tests of other cognitive abilities when predicting relevant outcomes. However, these empirical accounts have relied on single CPS assessment instruments. We do not know whether these findings will generalize to the construct level across different CPS assessment instruments. To answer this question, we tested a sample of N=339 German university students who completed three CPS assessment instruments based on multiple complex systems (MicroDYN, the Genetics Lab, and MicroFIN) and the matrices subtest of the Intelligence Structure Test as measure of reasoning. Students further reported their school grades. Analyses including latent multitrait-multimethod models provided support for the conceptualization of CPS as a complex cognitive ability. Results indicated that different CPS assessment instruments showed sufficient convergent validity (with a consistency mostly between .50 and .60). In addition, we found evidence for the divergent validity of CPS from reasoning (reasoning predicted two CPS facets, knowledge and control, βKNOW=.49 and βCON=.53, respectively). In the prediction of academic achievement, CPS explained variance in natural science grades after we controlled for reasoning (βCPS=.22), whereas social science grades were not predicted. Our findings suggest that the validity of CPS generalizes across different measurement instruments.
DOI:doi:10.1016/j.intell.2013.07.012
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Volltext ; Verlag: https://doi.org/10.1016/j.intell.2013.07.012
 Volltext: https://www.sciencedirect.com/science/article/pii/S0160289613001050
 DOI: https://doi.org/10.1016/j.intell.2013.07.012
Datenträger:Online-Ressource
Sprache:eng
Bibliogr. Hinweis:Erscheint auch als : Druck-Ausgabe: Greiff, Samuel, 1979 - : A multitrait-multimethod study of assessment instruments for complex problem solving. - 2013
Sach-SW:Complex Problem Solving
 Genetics Lab
 MicroDYN
 MicroFIN
 Reasoning
K10plus-PPN:175113279X
Verknüpfungen:→ Zeitschrift

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