Complex problem solving and intelligence: A meta-analysis

Research output: Journal contributionsJournal articlesResearchpeer-review

Standard

Complex problem solving and intelligence: A meta-analysis. / Stadler, Matthias; Becker, Nicolas; Gödker, Markus et al.
In: Intelligence, Vol. 53, 01.12.2015, p. 92-101.

Research output: Journal contributionsJournal articlesResearchpeer-review

Harvard

APA

Vancouver

Stadler M, Becker N, Gödker M, Leutner D, Greiff S. Complex problem solving and intelligence: A meta-analysis. Intelligence. 2015 Dec 1;53:92-101. doi: 10.1016/j.intell.2015.09.005

Bibtex

@article{3d414da84c2e4118aeb7a18b4046f3ca,
title = "Complex problem solving and intelligence: A meta-analysis",
abstract = "The purpose of this meta-analysis is to examine the nature and magnitude of the relation between complex problem- solving skills (CPS) and intelligence, a topic that has been widely discussed and that has instigated a vast array of partially contradicting findings in the past. Theoretically, researchers have hypothesized the two constructs to be everything from completely separate to identical. Over the course of almost four decades, empirical studies yielded results in support of both arguments. Our meta-analysis of 47 studies containing 60 independent samples and a total sample size of 13,740 participants revealed a substantial correlation of CPS and intelligence with an average effect size of M(g) = .433. In addition, we investigated whether the operationalization of CPS and intelligence moderated this correlation. Whereas there were no significant correlation differences considering the operationalization of intelligence, the approach used to measure CPS moderated the correlation of CPS and intelligence. Especially the most recent approach towards the assessment of CPS yielded the strongest associations between the two constructs. Implications for existing theories and future research are discussed.",
keywords = "Complex problem-solving, Dynamic decision making, Intelligence, Meta-analysis, Multiple complex systems, Psychology",
author = "Matthias Stadler and Nicolas Becker and Markus G{\"o}dker and Detlev Leutner and Samuel Greiff",
year = "2015",
month = dec,
day = "1",
doi = "10.1016/j.intell.2015.09.005",
language = "English",
volume = "53",
pages = "92--101",
journal = "Intelligence",
issn = "0160-2896",
publisher = "Elsevier Ltd",

}

RIS

TY - JOUR

T1 - Complex problem solving and intelligence

T2 - A meta-analysis

AU - Stadler, Matthias

AU - Becker, Nicolas

AU - Gödker, Markus

AU - Leutner, Detlev

AU - Greiff, Samuel

PY - 2015/12/1

Y1 - 2015/12/1

N2 - The purpose of this meta-analysis is to examine the nature and magnitude of the relation between complex problem- solving skills (CPS) and intelligence, a topic that has been widely discussed and that has instigated a vast array of partially contradicting findings in the past. Theoretically, researchers have hypothesized the two constructs to be everything from completely separate to identical. Over the course of almost four decades, empirical studies yielded results in support of both arguments. Our meta-analysis of 47 studies containing 60 independent samples and a total sample size of 13,740 participants revealed a substantial correlation of CPS and intelligence with an average effect size of M(g) = .433. In addition, we investigated whether the operationalization of CPS and intelligence moderated this correlation. Whereas there were no significant correlation differences considering the operationalization of intelligence, the approach used to measure CPS moderated the correlation of CPS and intelligence. Especially the most recent approach towards the assessment of CPS yielded the strongest associations between the two constructs. Implications for existing theories and future research are discussed.

AB - The purpose of this meta-analysis is to examine the nature and magnitude of the relation between complex problem- solving skills (CPS) and intelligence, a topic that has been widely discussed and that has instigated a vast array of partially contradicting findings in the past. Theoretically, researchers have hypothesized the two constructs to be everything from completely separate to identical. Over the course of almost four decades, empirical studies yielded results in support of both arguments. Our meta-analysis of 47 studies containing 60 independent samples and a total sample size of 13,740 participants revealed a substantial correlation of CPS and intelligence with an average effect size of M(g) = .433. In addition, we investigated whether the operationalization of CPS and intelligence moderated this correlation. Whereas there were no significant correlation differences considering the operationalization of intelligence, the approach used to measure CPS moderated the correlation of CPS and intelligence. Especially the most recent approach towards the assessment of CPS yielded the strongest associations between the two constructs. Implications for existing theories and future research are discussed.

KW - Complex problem-solving

KW - Dynamic decision making

KW - Intelligence

KW - Meta-analysis

KW - Multiple complex systems

KW - Psychology

UR - http://www.scopus.com/inward/record.url?scp=84943545332&partnerID=8YFLogxK

U2 - 10.1016/j.intell.2015.09.005

DO - 10.1016/j.intell.2015.09.005

M3 - Journal articles

AN - SCOPUS:84943545332

VL - 53

SP - 92

EP - 101

JO - Intelligence

JF - Intelligence

SN - 0160-2896

ER -

Recently viewed

Publications

  1. Advances in Dynamics, Optimization and Computation
  2. Does thinking-aloud affect learning, visual information processing and cognitive load when learning with seductive details as expected from self-regulation perspective?
  3. Cognitive load and instructionally supported learning with provided and learner-generated visualizations
  4. Resource extraction technologies - is a more responsible path of development possible?
  5. Using augmented video to test in-car user experiences of context analog HUDs
  6. Robust Control of Mobile Transportation Object with 3D Technical Vision System
  7. How Much Home Office is Ideal? A Multi-Perspective Algorithm
  8. Efficient Order Picking Methods in Robotic Mobile Fulfillment Systems
  9. Guided discovery learning with computer-based simulation games
  10. Probabilistic approach to modelling of recession curves
  11. Eighth Workshop on Mining and Learning with Graphs
  12. Mostly harmless econometrics? Statistical paradigms in the ‘top five’ from 2000 to 2018
  13. Learning and Re-learning from net- based cooperative learning discourses
  14. Using Heider’s Epistemology of Thing and Medium for Unpacking the Conception of Documents: Gantt Charts and Boundary Objects
  15. Topic Embeddings – A New Approach to Classify Very Short Documents Based on Predefined Topics
  16. Transfer operator-based extraction of coherent features on surfaces
  17. Optimising business performance with standard software systems
  18. Reality-Based Tasks with Complex-Situations
  19. On the Difficulty of Forgetting
  20. An experience-based learning framework
  21. Soft Skills for Hard Constraints
  22. Should learners use their hands for learning? Results from an eye-tracking study
  23. Influence of Process Parameters and Die Design on the Microstructure and Texture Development of Direct Extruded Magnesium Flat Products
  24. Introduction Mobile Digital Practices. Situating People, Things, and Data
  25. Integrating the underlying structure of stochasticity into community ecology
  26. Parameterized Synthetic Image Data Set for Fisheye Lens