Complex problem solving and intelligence: A meta-analysis

Stadler, Matthias; Becker, Nicolas; Gödker, Markus; Leutner, Detlev; Greiff, Samuel

doi:10.1016/j.intell.2015.09.005

Cited by 88 publications

(95 citation statements)

References 40 publications

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“…One overarching finding is that CPS overlaps substantially with reasoning. However, reasoning does not account for all of the variance in CPS (e.g., see the meta-analysis by Stadler, Becker, Gödker, Leutner, & Greiff, 2015). This coincides with CPS theory, which proposes that constructs other than reasoning play important roles in CPS.…”

Section: Introductionmentioning

confidence: 66%

“…As indicated above, researchers who have previously attempted to understand the nature of CPS have come to the conclusion that reasoning is a crucial constituent of CPS (see the meta-analysis by Stadler et al, 2015) because both reasoning and CPS require the abilities to identify relevant information (Babcock, 2002;Funke, 2001) and to elaborate and apply strategies to solve problems (Wüstenberg et al, 2012).…”

Section: Reasoning Confidence In Cps and Cpsmentioning

confidence: 99%

“…For this goal, confidence should be included not only in CPS but also in other performance measures applied in future studies. This accounts in particular for confidence in reasoning, as reasoning and CPS are closely related (Stadler et al, 2015).…”

Section: Confidence In Cps Is Linked To Cps Beyond Reasoningmentioning

confidence: 99%

“…Moreover, we aimed to take the first steps toward ensuring that such a link cannot be ascribed to reasoning, which is at the core of intelligence (Carroll, 2003) and is a strong and wellknown correlate of CPS (see the meta-analysis by Stadler et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

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Metacognitive confidence judgments and their link to complex problem solving

et al. 2017

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A B S T R A C TWith 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 seventhgrade 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.

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Section: Introductionmentioning

confidence: 66%

Section: Reasoning Confidence In Cps and Cpsmentioning

confidence: 99%

Section: Confidence In Cps Is Linked To Cps Beyond Reasoningmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Metacognitive confidence judgments and their link to complex problem solving

et al. 2017

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“…CPS is defined as a composite of different simple and complex cognitive processes (Funke, 2010). Thus, previous studies have mainly investigated the relation between CPS and cognitive constructs (for an overview, see Kretzschmar, Neubert, Wüstenberg, & Greiff, 2016; see also Stadler, Becker, Gödker, Leutner, & Greiff, 2015). Because a substantial portion of variance in CPS has remained unexplained by cognitive predictors (e.g., Bühner, Kröner, & Ziegler, 2008), it is worthwhile to look for additional constructs that might explain differences in CPS.…”

Section: Predictors Of Complex Problem Solvingmentioning

confidence: 99%

Predicting Complex Problem Solving and school grades with working memory and ability self-concept

Meißner

Greiff

Frischkorn

et al. 2016

Learning and Individual Differences

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Case‐based decision support for fault diagnosis: Do salient ratings discourage situation analysis?

Müller

Ullrich

Dessel

et al. 2018

Hum Ftrs & Erg Mfg Svc

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In the processing industry, frequent faults call for assistance in diagnosis, and case‐based reasoning (CBR) can provide solutions applied by other operators in the past. This study investigated whether salient case ratings promote an uncritical acceptance of solutions. In 2 experiments, subjects diagnosed faults with a simulated CBR system, and ratings were presented in graphical or verbal format. In most trials, the case with the highest rating provided the correct solution, while in catch‐trials, it did not. Graphical ratings were hypothesized to speed up solutions but discourage cross‐checking and lead to errors in catch‐trials. These hypotheses were not confirmed, even though Experiment 2 maximized the incentive of relying on case ratings. While graphical ratings led subjects to start with the most highly rated case, they did not impair situation analysis and accuracy. The results suggest that during fault diagnosis people are not easily misled into overtrusting a CBR system.

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Complex problem solving and intelligence: A meta-analysis

Cited by 88 publications

References 40 publications

Metacognitive confidence judgments and their link to complex problem solving

Metacognitive confidence judgments and their link to complex problem solving

Predicting Complex Problem Solving and school grades with working memory and ability self-concept

Case‐based decision support for fault diagnosis: Do salient ratings discourage situation analysis?

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