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  1. Cautiously optimistic rationalism may not be cautious enough.Justin F. Landy - 2019 - Behavioral and Brain Sciences 42:e159.
    May expresses optimism about the source, content, and consequences of moral judgments. However, even if we are optimistic about their source (i.e., reasoning), some pessimism is warranted about their content, and therefore their consequences. Good reasoners can attain moral knowledge, but evidence suggests that most people are not good reasoners, which implies that most people do not attain moral knowledge.
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  • Computational underpinnings of partisan information processing biases and associations with depth of cognitive reasoning.Yrian Derreumaux, Kimia Shamsian & Brent L. Hughes - 2023 - Cognition 230 (C):105304.
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  • The bat-and-ball problem: a word-problem debiasing approach.Jerome D. Hoover & Alice F. Healy - 2021 - Thinking and Reasoning 27 (4):567-598.
    Three experiments explored the effects of word problem cueing on debiasing versions of the bat-and-ball problem. In the experimental condition order, participants solved a simpler isomorphic version of the problem prior to solving a standard version that, critically, had the same item-and-dollar amounts. Conversely, in the control condition order, participants solved the standard version prior to solving the isomorph. Across the first 2 experiments, participants cued with the isomorph were more likely to correctly solve the standard version of the problem. (...)
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  • Disfluent fonts do not help people to solve math and non-math problems regardless of their numeracy.Miroslav Sirota, Andriana Theodoropoulou & Marie Juanchich - 2020 - Thinking and Reasoning 27 (1):142-159.
    Prior research has suggested that perceptual disfluency activates analytical processing and increases the solution rate of mathematical problems with appealing but incorrect answers (i.e., the Cogn...
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  • Overconfidently underthinking: narcissism negatively predicts cognitive reflection.Shane Littrell, Jonathan Fugelsang & Evan F. Risko - 2019 - Thinking and Reasoning 26 (3):352-380.
    There exists a large body of work examining individual differences in the propensity to engage in reflective thinking processes. However, there is a distinct lack of empirical research examining th...
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  • Lazy, not biased: Susceptibility to partisan fake news is better explained by lack of reasoning than by motivated reasoning.Gordon Pennycook & David Rand - 2018 - Cognition 188 (C):39-50.
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  • Atheists and Agnostics Are More Reflective than Religious Believers: Four Empirical Studies and a Meta-Analysis.Gordon Pennycook, Robert M. Ross, Derek J. Koehler & Jonathan A. Fugelsang - 2016 - PLoS ONE 11 (4):e0153039.
    Individual differences in the mere willingness to think analytically has been shown to predict religious disbelief. Recently, however, it has been argued that analytic thinkers are not actually less religious; rather, the putative association may be a result of religiosity typically being measured after analytic thinking (an order effect). In light of this possibility, we report four studies in which a negative correlation between religious belief and performance on analytic thinking measures is found when religious belief is measured in a (...)
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  • What we can (and can’t) infer about implicit bias from debiasing experiments.Nick Byrd - 2019 - Synthese (2):1-29.
    The received view of implicit bias holds that it is associative and unreflective. Recently, the received view has been challenged. Some argue that implicit bias is not predicated on “any” associative process, but it is unreflective. These arguments rely, in part, on debiasing experiments. They proceed as follows. If implicit bias is associative and unreflective, then certain experimental manipulations cannot change implicitly biased behavior. However, these manipulations can change such behavior. So, implicit bias is not associative and unreflective. This paper (...)
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  • The cognitive reflection test revisited: exploring the ways individuals solve the test.B. Szaszi, A. Szollosi, B. Palfi & B. Aczel - 2017 - Thinking and Reasoning 23 (3):207-234.
    Individuals’ propensity not to override the first answer that comes to mind is thought to be a crucial cause behind many failures in reasoning. In the present study, we aimed to explore the strategies used and the abilities employed when individuals solve the cognitive reflection test, the most widely used measure of this tendency. Alongside individual differences measures, protocol analysis was employed to unfold the steps of the reasoning process in solving the CRT. This exploration revealed that there are several (...)
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  • Who detects and why: how do individual differences in cognitive characteristics underpin different types of responses to reasoning tasks?Nikola Erceg, Zvonimir Galić, Andreja Bubić & Dino Jelić - 2023 - Thinking and Reasoning 29 (4):594-642.
    One of the most famous problems in the decision-making literature is the “bat and a ball” problem from the cognitive reflection test (CRT; Frederick, 2005). The problem goes as follows: „A bat and...
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  • Cognitive Style and Frame Susceptibility in Decision-Making.David R. Mandel & Irina V. Kapler - 2018 - Frontiers in Psychology 9:375475.
    The susceptibility of decision-makers’ choices to variations in option framing has been attributed to individual differences in cognitive style. According to this view, individuals who are prone to a more deliberate, or less intuitive, thinking style are less susceptible to framing manipulations. Research findings on the topic, however, have tended to yield small effects, with several studies also being limited in inferential value by methodological drawbacks. We report two experiments that examined the value of several cognitive-style variables, including measures of (...)
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  • Open-minded and reflective thinking predicts reasoning and meta-reasoning: evidence from a ratio-bias conflict task.Henry W. Strudwicke, Glen E. Bodner, Paul Williamson & Michelle M. Arnold - 2024 - Thinking and Reasoning 30 (3):419-445.
    Dispositional measures of actively open-minded thinking and cognitive reflection both predict reasoning accuracy on conflict problems. Here we investigated their relative impact on meta-reasoning. To this end, we measured reasoning accuracy and two indices of meta-reasoning performance – conflict detection sensitivity and meta-reasoning discrimination – using a ratio-bias task. Our key predictors were actively open-minded thinking and cognitive reflection, and numeracy, cognitive ability, and mindware instantiation were controlled for. Actively open-minded thinking was a better predictor of reasoning accuracy and meta-reasoning (...)
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  • A diffusion model analysis of belief bias: Different cognitive mechanisms explain how cognitive abilities and thinking styles contribute to conflict resolution in reasoning.Anna-Lena Schubert, Mário B. Ferreira, André Mata & Ben Riemenschneider - 2021 - Cognition 211 (C):104629.
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