References of "Greiff, Samuel 50001890"
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See detail21st century skills at work. The incremental contribution of complex problem solving skills to occupational choice and success
Mainert, J.; Niepel, Christoph UL; Murphy, K. et al

Scientific Conference (2017)

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See detailEmpirical work on computer-based assessment of domain-general complex problem solving skills
Molnar, G.; Greiff, Samuel UL; Wüstenberg, Sascha UL et al

in Csapo, Beno; Funke, Joachim (Eds.) The nature of problem solving (2017)

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See detailNeed for cognition in children and adolescents. Correlates and relations to intelligence and academic performance
Luong, Cäcilia; Strobel, Anja; Wollschläger, Rachel UL et al

in Learning and Individual Differences (2017)

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See detailExtension procedures for confirmatory factor analysis.
Nagy, Gabriel; Brunner, Martin; Lüdtke, Oliver et al

in The Journal of Experimental Education (2017), 85(4), 574-596

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See detailHow Performing PCA and CFA on the Same Data Equals Trouble
Fokkema, Marjolein; Greiff, Samuel UL

in European Journal of Psychological Assessment (2017), 33(6), 399-402

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See detailValidity and usefulness of the Highly Sensitive Personality Scale Based on a representative German sample
Baudson, T. G.; Ostendorf, F.; Becker, N. et al

Scientific Conference (2017)

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See detailUsing process data for assessment in Intelligent Tutoring Systems. A psychometrician’s, cognitive psychologist's, and computer scientist’s perspective.
Greiff, Samuel UL; Gasevic, Dragan; von Davier, Alina A.

in Sottilare, Robert A.; Graesser, Arthur C.; Hu, Xiangen (Eds.) et al Design recommendations for intelligent tutoring systems. Volume 5 (2017)

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See detailValidity issues and concerns for technology-based performance assessment.
Katz, Irvin R.; LaMar, Michelle M.; Spain, Randall et al

in Sottilare, Robert A.; Graesser, Arthur C.; Hu, Xiangen (Eds.) et al Design recommendations for intelligent tutoring systems. Volume 5 (2017)

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See detailInteractive Problem Solving. Exploring the potential of minimal complex systems (Chapter 6)
Greiff, Samuel UL; Funke, Joachim

in Csapo, Beno; Funke, Joachim (Eds.) The nature of problem solving : Using Research to Inspire 21st Century Learning. (2017)

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See detailDynamic problem solving. Multiple-item testing based on minimal complex systems.
Funke, Joachim; Greiff, Samuel UL

in Leutner, Detlev; Fleischer, Jens; Grünkorn, Jiliane (Eds.) et al Competence assessment in education : Research, models, and instruments. (2017)

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See detailThe Heidelberg inventory of geographic system competency model.
Viehrig, Kathrin; Siegmund, Alexander; Funke, Joachim et al

in Leutner, Detlev; Fleischer, Jens; Grünkorn, Juliane (Eds.) et al Competence assessment in education : Research, models, and instruments. (2017)

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See detailIntelligenz in Aktion. Eine Logfile-Analyse zum strategischen Problemlöseverhalten
Lotz, C.; Scherer, R.; Greiff, Samuel UL et al

Scientific Conference (2017)

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See detailIntelligence in action. Effective strategic behaviors while solving complex problems.
Lotz, Christin; Scherer, Ronny; Greiff, Samuel UL et al

in Intelligence (2017), 64

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See detailMethods for assessing inquiry. Machine-learned and theoretical.
LaMar, Michelle; Baker, Ryan S.; Greiff, Samuel UL

in Sottilare, Robert A.; Graesser, Arthur C.; Hu, Xiangen (Eds.) et al Design recommendations for intelligent tutoring systems. (2017)

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See detailMetacognitive confidence judgments and their link to complex problem solving
Rudolph, Julia UL; Niepel, Christoph UL; Greiff, Samuel UL et al

in Intelligence (2017)

With the aim to better understand the nature of complex problem solving (CPS), we investigated the link between confidence judgments, which represent a major constituent of metacognitive self-monitoring ... [more ▼]

With the aim to better understand the nature of complex problem solving (CPS), we investigated the link between confidence judgments, which represent a major constituent of metacognitive self-monitoring, and CPS by regressing the two facets of CPS (i.e., knowledge acquisition and knowledge application) on confidence in CPS. To ensure that the link between confidence in CPS and CPS is distinct, we controlled for reasoning, which is the strongest known correlate of CPS. Using structural equation modeling in a sample of 471 German eventh- grade students, we found that confidence in CPS explained 67% of the variance in CPS knowledge acquisition and 55% of the variance in CPS knowledge application. These links were reduced but remained substantial when we controlled for reasoning. The results indicate that confidence judgments as indicators of metacognitive monitoring in CPS are substantially linked to successful CPS, thus bringing us one step closer to a full understanding of CPS. [less ▲]

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