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When Less Is Less: Solving Multiple Simple Problems Is Not Complex Problem Solving—A comment on Greiff et al. (2015)

In this commentary, we critically review the study of Greiff, Stadler, Sonnleitner, Wolff, and Martin, “Sometimes less is more: Comparing the validity of complex problem solving measures” (Intelligence, 2015, 50, 100–113). The main conclusion of Greiff et al. that the “multiple complex systems” (MCS...

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Detalles Bibliográficos
Autores principales: Funke, Joachim, Fischer, Andreas, Holt, Daniel V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6526458/
https://www.ncbi.nlm.nih.gov/pubmed/31162397
http://dx.doi.org/10.3390/jintelligence5010005
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author Funke, Joachim
Fischer, Andreas
Holt, Daniel V.
author_facet Funke, Joachim
Fischer, Andreas
Holt, Daniel V.
author_sort Funke, Joachim
collection PubMed
description In this commentary, we critically review the study of Greiff, Stadler, Sonnleitner, Wolff, and Martin, “Sometimes less is more: Comparing the validity of complex problem solving measures” (Intelligence, 2015, 50, 100–113). The main conclusion of Greiff et al. that the “multiple complex systems” (MCS) approach to measuring complex problem-solving ability possesses superior validity compared to classical microworld scenarios (“less is more”) seems to be an overgeneralization based on inappropriate analysis and selective interpretation of results. In its original form, MCS is a useful tool for investigating specific aspects of problem solving within dynamic systems. However, its value as an instrument for the assessment of complex problem solving ability remains limited.
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spelling pubmed-65264582019-05-29 When Less Is Less: Solving Multiple Simple Problems Is Not Complex Problem Solving—A comment on Greiff et al. (2015) Funke, Joachim Fischer, Andreas Holt, Daniel V. J Intell Commentary In this commentary, we critically review the study of Greiff, Stadler, Sonnleitner, Wolff, and Martin, “Sometimes less is more: Comparing the validity of complex problem solving measures” (Intelligence, 2015, 50, 100–113). The main conclusion of Greiff et al. that the “multiple complex systems” (MCS) approach to measuring complex problem-solving ability possesses superior validity compared to classical microworld scenarios (“less is more”) seems to be an overgeneralization based on inappropriate analysis and selective interpretation of results. In its original form, MCS is a useful tool for investigating specific aspects of problem solving within dynamic systems. However, its value as an instrument for the assessment of complex problem solving ability remains limited. MDPI 2017-01-05 /pmc/articles/PMC6526458/ /pubmed/31162397 http://dx.doi.org/10.3390/jintelligence5010005 Text en © 2017 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Commentary
Funke, Joachim
Fischer, Andreas
Holt, Daniel V.
When Less Is Less: Solving Multiple Simple Problems Is Not Complex Problem Solving—A comment on Greiff et al. (2015)
title When Less Is Less: Solving Multiple Simple Problems Is Not Complex Problem Solving—A comment on Greiff et al. (2015)
title_full When Less Is Less: Solving Multiple Simple Problems Is Not Complex Problem Solving—A comment on Greiff et al. (2015)
title_fullStr When Less Is Less: Solving Multiple Simple Problems Is Not Complex Problem Solving—A comment on Greiff et al. (2015)
title_full_unstemmed When Less Is Less: Solving Multiple Simple Problems Is Not Complex Problem Solving—A comment on Greiff et al. (2015)
title_short When Less Is Less: Solving Multiple Simple Problems Is Not Complex Problem Solving—A comment on Greiff et al. (2015)
title_sort when less is less: solving multiple simple problems is not complex problem solving—a comment on greiff et al. (2015)
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6526458/
https://www.ncbi.nlm.nih.gov/pubmed/31162397
http://dx.doi.org/10.3390/jintelligence5010005
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