The list below includes a selection of papers which deal with Meta-Reasoning issues. It is clearly not an exhaustive list. Suggestions for additional papers to include in this list are welcome
Year | Reference | Official publication | Pre-print | Misc. |
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2017 | Ackerman, R., & Thompson, V. (2017). Meta-Reasoning: Monitoring and control of thinking and reasoning. Trends in Cognitive Sciences, 21(8), 607-617. | Sciencedirect | ||
2017 | Ackerman, R., & Beller, Y. (2017). Shared and distinct cue utilization for metacognitive judgments during reasoning and memorisation. Thinking & Reasoning, 23:4, 376-408. | Tandfonline | ||
2013 | De Neys, W., Rossi, S., & Houdé, O. (2013). Bats, balls, and substitution sensitivity: Cognitive misers are no happy fools. Psychonomic Bulletin & Review, 20, 269-273. | Springer | ||
2015 | Lubin, A., Houdé, O., & De Neys, W. (2015). Evidence for children's error sensitivity during arithmetic word problem solving. Learning and Instruction, 40, 1-8. | Sciencedirect | ||
2017 | Bago, B., & De Neys, W. (2017). Fast logic?: Examining the time course assumption of dual process theory. Cognition, 158, 90-109. | Sciencedirect | ||
2012 | Ackerman, R., & Zalmanov, H. (2012). The persistence of the fluency-confidence association in problem solving. Psychonomic Bulleting & Review, 19(6), 1189-1192. | Springer | ||
2012 | Thompson, V.A. & Morsanyi, K. (2012). Analytic thinking: Do you feel like it? Mind & Society, 11, 93-105. | Springer | ||
2013 | Thompson, V., Prowse Turner, J., Pennycook, G., Ball, L., Brack, H., Ophir, Y., & Ackerman, R. (2013). The role of answer fluency and perceptual fluency as metacognitive cues for initiating analytic thinking. Cognition, 128, 237-251. | Sciencedirect | ||
2014 | Ackerman, R. (2014). The Diminishing Criterion Model for metacognitive regulation of time investment. Journal of Experimental Psychology: General, 143(3), 1349-1368. | APA PsycNET Supplementary Materials | ||
2016 | Trippas, D., Handley, S.J., Verde, M. & Morsanyi, K. (2016). Logic brightens my day: Evidence for implicit sensitivity to logical validity. Journal of Experimental Psychology: Learning Memory and Cognition, 42, 1448-1457. | APA PsycNET | ||
2012 | Morsanyi, K., & Handley, S.J. (2012). Logic feels so good -I like it! Evidence for intuitive detection of logicality in syllogistic reasoning. Journal of Experimental Psychology: Learning, Memory and Cognition, 38, 596-616. | APA PsycNET | ||
2015 | Ackerman, R. & Thompson, V. (2015). Meta-Reasoning: What can we learn from meta-memory. In A. Feeney & V. Thompson (Eds.), Reasoning as Memory (pp. 164-182). Hove, UK: Psychology Press. | |||
2016 | Žauhar, V., Bajšanski, I., & Domijan, D. (2016). Concurrent Dynamics of Category Learning and Metacognitive Judgments. Frontiers in Psychology, 7(1473), 1–11. | Frontiers | ||
2017 | Christensen, B. T., & Ball, L. J. (2017). Fluctuating epistemic uncertainty in a design team as a metacognitive driver for creative cognitive processes. In B. T. Christensen, L. J. Ball, & K. Halskov, K. (Eds.), Analysing design thinking: Studies of cross-cultural co-creation (pp. 249-269). London: CRC Press/Taylor & Francis. | ![]() | ||
2009 | Thompson, V. A. (2009). Dual-process theories: A metacognitive perspective. In J. Evans and K. Frankish (Eds.) In Two Minds: Dual Processes and Beyond (pp. 171-195). Oxford: Oxford University Press. | ![]() | ||
2011 | Thompson, V.A., ProwseTurner, J., & Pennycook, G. (2011). Intuition, Metacognition, and Reason. Cognitive Psychology, 63, 107-140. | Sciencedirect | ||
2016 | Sidi, Y., Ophir, Y., Ackerman, R. (2016). Generalizing Screen Inferiority - Does the Medium, Screen versus Paper, Affect Performance Even with Brief Tasks? Metacognition & Learning, 11(1), 15-33. | Springer | ||
2017 | Ackerman, R. & Thompson, V. (2017). Meta-Reasoning: Shedding meta-cognitive light on reasoning research. L. Ball & V. Thompson (Eds.), International Handbook of Thinking & Reasoning. Psychology Press. | ![]() | ||
2017 | Sidi, Y., Shpigelman, M., Zalmanov, H., & Ackerman, R. (2017). Understanding metacognitive inferiority on screen by exposing cues for depth of processing. Learning and Instruction, 51, 61-73. | Sciencedirect | ||
2016 | Johnson, E. D., Tubau, E., & De Neys, W. (2016). The doubting System 1: Evidence for automatic substitution sensitivity. Acta Psychologica, 164, 56-64. | Sciencedirect | ||
2006 | Shynkaruk, J. M., & Thompson, V. A. (2006). Confidence and accuracy in deductive reasoning. Memory & cognition, 34(3), 619-632. | Springer | ||
2015 | Markovits, H., Thompson, V. A., & Brisson, J. (2015). Metacognition and abstract reasoning. Memory & cognition, 43(4), 681-693. | Springer | ||
2018 | Frey, D., Johnson, E. D., & De Neys, W. (2018). Individual differences in conflict detection during reasoning. Quarterly Journal of Experimental Psychology, 71(5), 1188-1208. | ![]() | ||
2016 | Ball, L. J., & Stupple, E. J. N. (2016). Dual reasoning processes and the resolution of uncertainty: The case of belief bias. In L. Macchi, M. Bagassi, & R. Viale (Eds.), Cognitive unconscious and human rationality (pp. 143-165). Cambridge, MA: MIT Press. | |||
2000 | Quayle, J. D., & Ball, L. J. (2000). Working memory, metacognitive uncertainty, and belief bias in syllogistic reasoning. Quarterly Journal of Experimental Psychology, 53A, 1202-1223. | Tandfonline | ||
2013 | Wiltschnig, S., Christensen, B. T., & Ball, L. J. (2013). Collaborative problem–solution co-evolution in creative design. Design Studies, 34, 515-542. | Sciencedirect | ||
2009 | Ball, L. J., & Christensen, B. T. (2009). Analogical reasoning and mental simulation in design: Two strategies linked to uncertainty resolution. Design Studies, 30, 169-186. | Sciencedirect | ||
2010 | Ball, L. J., Onarheim, B., & Christensen, B. T. (2010). Design requirements, epistemic uncertainty and solution development strategies in software design. Design Studies, 31, 567-589. | Sciencedirect | ||
2013 | Stupple, E. J. N., Ball, L. J., & Ellis, D. (2013). Matching bias in syllogistic reasoning: Evidence for a dual-process account from response times and confidence ratings. Thinking & Reasoning, 19, 54-77. | Tandfonline | ||
1986 | Metcalfe, J. (1986). Feeling of knowing in memory and problem solving. Journal of Experimental Psychology: Learning, Memory, and Cognition, 12(2), 288-294. | semanticscholar | ||
1987 | Metcalfe, J., & Wiebe, D. (1987). Intuition in insight and noninsight problem solving. Memory & cognition, 15(3), 238-246. | Springer | ||
2003 | Vernon, D., & Usher, M. (2003). Dynamics of metacognitive judgments: Pre-and postretrieval mechanisms. Journal of Experimental Psychology: Learning, Memory, and Cognition, 29(3), 339-346. | APA PsycNET | ||
2010 | Mitchum, A. L., & Kelley, C. M. (2010). Solve the problem first: constructive solution strategies can influence the accuracy of retrospective confidence judgments. Journal of Experimental Psychology: Learning, Memory, and Cognition, 36(3), 699-710. | APA PsycNET | ||
2010 | Topolinski, S., & Reber, R. (2010). Gaining insight into the “Aha” experience. Current Directions in Psychological Science, 19(6), 402-405. | Sage | ||
2014 | Stankov, L., Kleitman, S., and Jackson, S. A. (2014). Measures of the Trait of Confidence. In G. J. Boyle, D. H. Saklofske and G. Matthews (Eds.), Measures of Personality and Social Psychological Constructs, 158-189. Academic Press. | ResearchGate | ||
2016 | Jackson, S. A., Kleitman, S., Howie, P., & Stankov, L. (2016). Cognitive abilities, monitoring confidence, and control thresholds explain individual differences in heuristics and biases. Frontiers in psychology, 7(1559). | Frontiers | ||
2016 | Jackson, S. A. (2016). Greater response cardinality indirectly reduces confidence. Journal of Cognitive Psychology, 28(4), 496-504. | Tandfonline | ||
2014 | Bajšanski, I., Močibob, M., & Valerjev, P. (2014). Metacognitive judgments and syllogistic reasoning. Psychological Topics, 23(1), 143-165. | Hrcak | ||
2016 | Hedne, M. R., Norman, E., & Metcalfe, J. (2016). Intuitive feelings of warmth and confidence in insight and noninsight problem solving of magic tricks. Frontiers in psychology, 7:1314. | semanticscholar | ||
2017 | Valerjev, P., & Dujmović, M. (2017). Instruction type and believability influence on metareasoning in a base rate task. In: G. Gunzelmann, A. Howes, T. Tenbrink, E. Davelaar (Eds.), Proceedings of the 39th Annual Meeting of the Cognitive Science Society (pp. 3429-3434.). Austin, TX: Cognitive Science Society. | CogSci | ![]() | |
2016 | Dujmović, M., & Valerjev, P. (2016). Metacognitive assessment of visual search tasks by 5th and 8th grade children. In: Lj. Lazarević, S. Marković, D. Pavlović Babić, O. Tošković, O. Marković Rosić (Eds.), Proceedings of the XXII Empirical Studies in Psychology conference (pp. 123-128). Belgrade: Institute for psychology, Faculty of phylosophy, University of Belgrade. | Empirical Studies in Psychology | ![]() | |
2013 | Mata, A., Ferreira, M. B., & Sherman, S. J. (2013). The metacognitive advantage of deliberative thinkers: A dual-process perspective on overconfidence. Journal of Personality and Social Psychology, 105, 353–373. | APA PsycNET | ||
2014 | Mata, A., & Almeida, T. (2014). Using metacognitive cues to infer others’ thinking. Judgment and Decision Making, 9, 349–359. | APA PsycNET | ||
2017 | Pennycook, G., Ross, R. M., Koehler, D. J., & Fugelsang, J. A. (2017). Dunning–Kruger effects in reasoning: Theoretical implications of the failure to recognize incompetence. Psychonomic Bulletin & Review, 24 (6), 1174-1784. | Springer | ||
2017 | Dujmović, M., & Valerjev, P. (2017). An image is worth a thousand words, but what of numbers? The impact of multi-modal processing on response times and judgments of confidence in base-rate tasks. In: O. Tošković, K. Damnjanović, Lj. Lazarević (Eds.), Proceedings of the XXIII Science Conference Empirical Studies in Psychology (pp. 30-36). | ![]() | ||
2015 | Mercier, H., Trouche, E., Yama, H., Heintz, C., & Girotto, V. (2015). Experts and laymen grossly underestimate the benefits of argumentation for reasoning. Thinking & Reasoning, 21(3), 341-355. | Tandfonline | ||
2018 | Žauhar, V., Bajšanski, I., & Domijan, D. (2018). The influence of rule availability and item similarity on metacognitive monitoring during categorisation. Journal of Cognitive Psychology, 30(2), 138-162. | Tandfonline | ||
2018 | Baars, M., Leopold, C., & Paas, F. (2018). Self-explaining steps in problem-solving tasks to improve self-regulation in secondary education. Journal of Educational Psychology, 110(4), 578–595. | APA PsycNET | ||
2017 | Baars, M., Wijnia, L., & Paas, F. (2017). The association between motivation, affect, and self-regulated learning when solving problems. Frontiers in Psychology, 8, 1346. | Frontiers | ||
2017 | Baars, M., Van Gog, T., de Bruin, A., & Paas, F. (2017). Effects of problem solving after worked example study on secondary school children’s monitoring accuracy. Educational Psychology, 37, 810-834. | Tandfonline | ||
2014 | Baars, M., Van Gog, T., de Bruin, A., & Paas, F. (2014). Effects of problem solving after worked example study on primary school children's monitoring accuracy. Applied Cognitive Psychology, 28, 382-391. | Wiley | ||
2014 | Baars, M., Vink, S., Van Gog, T., de Bruin, A., & Paas, F. (2014). Effects of training self-assessment and using assessment standards on retrospective and prospective monitoring of problem solving. Learning and Instruction, 33, 92-107. | Sciencedirect | ||
2013 | Baars, M., Visser, S., Van Gog, T., de Bruin, A., & Paas, F. (2013). Completion of partially worked examples as a generation strategy for improving monitoring accuracy. Contemporary Educational Psychology, 38, 395-406. | Sciencedirect | ||
2017 | Lieder, F., & Griffiths, T. L. (2017). Strategy selection as rational metareasoning. Psychological Review, 124(6), 762-794. | APA PsycNET | ||
2017 | Shenhav, A., Musslick, S., Lieder, F., Kool, W., Griffiths, T. L., Cohen, J. D., & Botvinick, M. M. (2017). Toward a rational and mechanistic account of mental effort. Annual review of neuroscience, 40, 99-124. | Annual Review | ||
2017 | Milli, S., Lieder, F., & Griffiths, T. (2017, February). When does bounded-optimal metareasoning favor few cognitive systems?. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 31, No. 1). | AAAI | ||
2014 | Lieder, F., Plunkett, D., Hamrick, J.B., Russell, S.J, Hay, N.J., & Griffiths, T.L. (2014). Algorithm Selection by Rational Metareasoning as a Model of Human Strategy Selection. In Z. Ghahramani, M. Welling, C. Cortes, N.D. Lawrence, and K.Q. Weinberger (Eds.). Advances in Neural Information Processing Systems 27, pp. 2870-2878. | NIPS | ||
2018 | Dujmović, M., & Valerjev, P. (2018). The influence of conflict monitoring on meta-reasoning and response times in a base rate task. Quarterly Journal of Experimental Psychology, 71(12), 2548-2561. | Sage | ![]() | |
2018 | Lieder, F., Shenhav, A., Musslick, S., & Griffiths, T. L. (2018). Rational metareasoning and the plasticity of cognitive control. PLoS computational biology, 14(4), e1006043. | Sage | ResearchGate | |
2018 | Ball, L. J., Threadgold, E., Solowiej, A., & Marsh, J. E. (2018). Can Intrinsic and Extrinsic Metacognitive Cues Shield Against Distraction in Problem Solving?. Journal of Cognition, 1(1), 15. DOI: http://doi.org/10.5334/joc.9 | J. of Cognition | ||
2014 | Thompson, V. A., & Johnson, S. C. (2014). Conflict, metacognition, and analytic thinking. Thinking & Reasoning, 20(2), 215-244. | Tandfonline | ||
2019 | Bajšanski, I., Žauhar, V., & Valerjev, P. (2019). Confidence judgments in syllogistic reasoning: the role of consistency and response cardinality. Thinking & Reasoning, 25(1), 14-47. | Tandfonline | ||
2020 | Danek, A.H., Williams, J. & Wiley, J. (2020). Closing the gap: connecting sudden representational change to the subjective Aha! experience in insightful problem solving. Psychological Research, 84, 111–119. | Springer | ||
2017 | Danek, A. H., & Wiley, J. (2017). What about false insights? Deconstructing the Aha! Experience along its multiple dimensions for correct and incorrect solutions separately. Frontiers in psychology, 7:2077. | Frontiers | ||
2011 | Payne, S. J., & Duggan, G. B. (2011). Giving up problem solving. Memory & cognition, 39(5), 902-913. | Springer | ||
2016 | Siedlecka, M., Paulewicz, B., & Wierzchoń, M. (2016). But I was so sure! Metacognitive judgments are less accurate given prospectively than retrospectively. Frontiers in psychology, 7:218. | Frontiers | ||
2014 | Pennycook, G., Trippas, D., Handley, S. J., & Thompson, V. A. (2014). Base rates: Both neglected and intuitive. Journal of Experimental Psychology: Learning, Memory, and Cognition, 40(2), 544-554. | APA | ||
2014 | Pennycook, G., Cheyne, J. A., Barr, N., Koehler, D. J., & Fugelsang, J. A. (2014). Cognitive style and religiosity: The role of conflict detection. Memory & Cognition, 42(1), 1-10. | Springer | ||
2015 | Pennycook, G., Fugelsang, J. A., & Koehler, D. J. (2015). What makes us think? A three-stage dual-process model of analytic engagement. Cognitive Psychology, 80, 34-72. | Sciencedirect | ||
2018 | Ball, L. J., Threadgold, E., Marsh, J. E., & Christensen, B. T. (2018). The effects of stimulus complexity and conceptual fluency on aesthetic judgments of abstract art: Evidence for a default–interventionist account. Metaphor & Symbol, 33, 235-252. | Tandfonline | ||
2018 | Noah, T., Schul, Y., & Mayo, R. (2018). Thinking of oneself as an object of observation reduces reliance on metacognitive information. Journal of Experimental Psychology: General, 147(7), 1023-1042. | APA | ||
2014 | Mata, A., Schubert, A. L., & Ferreira, M. B. (2014). The role of language comprehension in reasoning: How “good-enough” representations induce biases. Cognition, 133(2), 457-463. | Sciencedirect | ||
2017 | Mata, A., Ferreira, M. B., Voss, A., & Kollei, T. (2017). Seeing the conflict: an attentional account of reasoning errors. Psychonomic Bulletin & Review, 24(6), 1980-1986. | Springer | ||
2018 | Mata, A., & Ferreira, M. B. (2018). Response: Commentary: Seeing the conflict: an attentional account of reasoning errors. Frontiers in psychology, 9, 24. | Frontiers | ||
2018 | Grossner, E. C., Bernier, R. A., Brenner, E. K., Chiou, K. S., & Hillary, F. G. (2018). Prefrontal gray matter volume predicts metacognitive accuracy following traumatic brain injury. Neuropsychology, 32(4), 484-494. | APA PsycNET | ||
2018 | Laukkonen, R. E., & Tangen, J. M. (2018). How to detect insight moments in problem solving experiments. Frontiers in psychology, 9, 282. | Frontiers | ||
2008 | Reber, R., Brun, M., & Mitterndorfer, K. (2008). The use of heuristics in intuitive mathematical judgment. Psychonomic Bulletin & Review, 15, 1174–1178. | Springer | ||
2016 | Ais, J., Zylberberg, A., Barttfeld, P., & Sigman, M. (2016). Individual consistency in the accuracy and distribution of confidence judgments. Cognition, 146, 377-386. | Sciencedirect | ||
2018 | Valerjev, P. & Dujmović, M. (2018). The effect of stimulus onset asynchrony between different response cues on reasoning in a base rate task. In K. Damnjanović, I. Stepanović Ilić, & S. Marković (Eds.), Proceedings of the 24th Scientific Conference Empirical Studies In Psychology (pp. 12-14). Belgrade: Institute of Psychology, Laboratory for Experimental Psychology, Faculty of Philosophy, University of Belgrade. | ResearchGate | ||
2014 | Caro, M. F., Josyula, D. P., Cox, M. T., & Jiménez, J. A. (2014). Design and validation of a metamodel for metacognition support in artificial intelligent systems. Biologically Inspired Cognitive Architectures, 9, 82-104. | Sciencedirect | ||
2015 | Caro, M. F., Josyula, D. P., Jiménez, J. A., Kennedy, C. M., & Cox, M. T. (2015). A domain-specific visual language for modeling metacognition in intelligent systems. Biologically Inspired Cognitive Architectures, 13, 75-90. | Sciencedirect | ||
1996 | Kelley, C. M., & Jacoby, L. L. (1996). Adult egocentrism: Subjective experience versus analytic bases for judgment. Journal of Memory and Language, 35(2), 157-175. | Sciencedirect | ||
2016 | Siedlecka, M., Paulewicz, B., & Wierzchoń, M. (2016). But I was so sure! Metacognitive judgments are less accurate given prospectively than retrospectively. Frontiers in Psychology, 7, 218. | Frontiers | ||
2009 | Prowse Turner, J. A., & Thompson, V. A. (2009). The role of training, alternative models, and logical necessity in determining confidence in syllogistic reasoning. Thinking & Reasoning, 15(1), 69-100. | Tandfonline | ||
2019 | Griffiths, T.L., Callaway, F., Chang. M., Grant, E., Krueger, P. M., & Lieder, F. (2019). Doing more with less: Meta-reasoning and meta-learning in humans and machines. Current Opinion in Behavioral Sciences, 29, 24-30. doi:10.1016/j.cobeha.2019.01.005 | Sciencedirect | ||
2020 | Lieder, F., & Griffiths, T. L. (2020). Resource-rational analysis: understanding human cognition as the optimal use of limited computational resources. Behavioral and Brain Sciences, 43. | BBS | ||
2018 | Loesche, F., Goslin, J., & Bugmann, G. (2018). Paving the way to eureka—introducing “Dira” as an experimental paradigm to observe the process of creative problem solving. Frontiers in psychology, 9. | Frontiers | ||
2016 | Fernandez Cruz, A. L., Arango-Muñoz, S., & Volz, K. G. (2016). Oops, scratch that! Monitoring one’s own errors during mental calculation. Cognition, 146, 110-120. | Sciencedirect | ||
2020 | Puente‐Diaz, R., & Cavazos‐Arroyo, J. (2020). Creative metacognitive feelings as a source of information for creative self‐efficacy, creativity potential, intrapersonal idea selection, and task enjoyment. The Journal of Creative Behavior, 54(3), 499-507. | Wiley | ||
2018 | Logg, J. M., Haran, U., & Moore, D. A. (2018). Is overconfidence a motivated bias? Experimental evidence. Journal of Experimental Psychology: General, 147(10), 1445-1465. doi: 2018-48183-001 | APA PsycNET | ||
2019 | Aidman, E., Jackson, S. A., & Kleitman, S. (2019). Effects of sleep deprivation on executive functioning, cognitive abilities, metacognitive confidence, and decision making. Applied Cognitive Psychology, 33(2), 188-200. | Wiley | ||
2012 | Fiedler, K. (2012). Meta-cognitive myopia and the dilemmas of inductive-statistical inference. In Psychology of learning and motivation (Vol. 57, pp. 1-55). Academic Press. | APA PsycNET | ||
2019 | Fiedler, K., Hütter, M., Schott, M., & Kutzner, F. (2019). Metacognitive myopia and the overutilization of misleading advice. Journal of Behavioral Decision Making, 32(3), 317-333. | Wiley | ||
2019 | Lauterman, T., & Ackerman, R. (2019). Initial judgment of solvability in non-verbal problems–A predictor of solving processes. Metacognition and Learning, 14(3), 365-383. | Springer | ||
2015 | Mevel, K., Poirel, N., Rossi, S., Cassotti, M., Simon, G., Houdé, O., & De Neys, W. (2015). Bias detection: Response confidence evidence for conflict sensitivity in the ratio bias task. Journal of Cognitive Psychology, 27(2), 227-237. | Tandfonline | ||
2011 | De Neys, W., Cromheeke, S., & Osman, M. (2011). Biased but in doubt: Conflict and decision confidence. PloS one, 6(1), e15954. | PlosOne | ||
2008 | De Neys, W., & Glumicic, T. (2008). Conflict monitoring in dual process theories of thinking. Cognition, 106(3), 1248-1299. | Sciencedirect | ||
2016 | Aczel, B., Szollosi, A., & Bago, B. (2016). Lax monitoring versus logical intuition: The determinants of confidence in conjunction fallacy. Thinking & Reasoning, 22(1), 99-117. | Tandfonline | ||
2017 | Scherer, L. D., Yates, J. F., Baker, S. G., & Valentine, K. D. (2017). The influence of effortful thought and cognitive proficiencies on the conjunction fallacy: implications for dual-process theories of reasoning and judgment. Personality and Social Psychology Bulletin, 43(6), 874-887. | Sage | ||
2019 | Ackerman, R. (2019). Heuristic cues for meta-reasoning judgments: Review and methodology. Psychological Topics, 28(1), 1-20. | HRCAK | Open access | |
2019 | Morsanyi, K., Cheallaigh, N. N. & Ackerman, R. (2019). Mathematics anxiety and metacognitive Processes: Proposal for a new line of inquiry. Psychological Topics, 28 (1), 147-169. | HRCAK | Open access | |
2019 | Meta-Reasoning SPECIAL ISSUE in Psychological topics. Guest Editor: Igor Bajšanski | HRCAK | Open access | |
2019 | Dentakos, S., Saoud, W., Ackerman, R., & Toplak, M. E. (2019). Does domain matter? Monitoring accuracy across domains. Metacognition and Learning, 14(3), 413-436. | Springer | ||
2019 | Beeson, N., Stupple, E. J. N., Schofield, M. B. & Staples, P. (2019). Mental Models or Probabilistic Reasoning or Both: Reviewing the Evidence for and Implications of Dual-Strategy Models of Deductive Reasoning. Psychological Topics, 28 (1), 21-35. | HRCAK | ||
2019 | Wang, S. & Thompson, V. (2019). Fluency and Feeling of Rightness: The Effect of Anchoring and Models. Psychological Topics, 28 (1), 37-72. | HRCAK | ||
2019 | Bajšanski, I. & Žauhar, V. (2019). The Relationship between Consistency and Consensuality in Syllogistic Reasoning. Psychological Topics, 28 (1), 73-91. | HRCAK | ||
2019 | Valerjev, P. & Dujmović, M. (2019). Performance and Metacognition in Scientific Reasoning: The Covariation Detection Task. Psychological Topics, 28 (1), 93-113. | HRCAK | ||
2019 | Mata, A. (2019). Further Tests of the Metacognitive Advantage Model: Counterfactuals, Confidence and Affect. Psychological Topics, 28 (1), 115-124. | HRCAK | ||
2019 | Putarek, V. & Vlahović-Štetić, V. (2019). Metacognitive Feelings, Conflict Detection and Illusion of Linearity. Psychological Topics, 28 (1), 171-192. | HRCAK | ||
2019 | Wanstall, E. A., Doidge, J., Weiss, J. & Toplak, M. E. (2019). Estimations of Competence in Neurodevelopmental Conditions: A Review. Psychological Topics, 28 (1), 193-232. | HRCAK | ||
2020 | Fiedler, K., Schott, M., Kareev, Y., Avrahami, J., Ackerman, R., Goldsmith, M., Mata, A., Ferreira, M. B., Newell, B. R., & Pantazi, M. (2020). Metacognitive myopia in change detection: A collective approach to overcome a persistent anomaly. Journal of Experimental Psychology: Learning, Memory, and Cognition, 46(4), 649–668. | APA PsycNET | ||
2017 | Koriat, A. (2017). Can people identify “deceptive” or “misleading” items that tend to produce mostly wrong answers?. Journal of Behavioral Decision Making, 30(5), 1066-1077. | Wiley | ||
2019 | Amidu, A. R., Boyd, D., & Agboola, A. O. (2019). The role of knowledge in valuation practice: expert valuers’ perceptions. Journal of Property Investment & Finance. | Emerald | ||
2020 | Mata, A. (2020). Conflict detection and social perception: Bringing meta-reasoning and social cognition together. Thinking & Reasoning, 26(1), 140-149. | Tandfonline | ||
2019 | Mata, A. (2019). Social metacognition in moral judgment: Decisional conflict promotes perspective taking. Journal of personality and social psychology, 117(6), 1061–1082. | APA PsycNET | ||
2019 | Fiedler, K., Ackerman, R., & Scarampi, C. (2019). Metacognition: Monitoring and controlling one’s own knowledge, reasoning and decisions. In R. J. Sternberg & J. Funke (Eds.). Introduction to the Psychology of Human Thought (pp. 89-111). Heidelberg: Heidelberg University Publishing. | Heidelberg Univ. Publishing | Open access | |
2019 | Caro, M. F., Josyula, D. P., Madera, D. P., Kennedy, C. M., & Gómez, A. A. (2019). The CARINA Metacognitive Architecture. International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), 13(4), 71-90. | IGI Global | ||
2019 | Walker, A., Turpin, M. H., Fugelsang, J., & Koehler, D. (2019). Intuition speed as a predictor of choice and confidence in point spread predictions. Judgment and Decision Making, 14(2), 148-155. | SSRN | ||
2017 | Szollosi, A., Bago, B., Szaszi, B., & Aczel, B. (2017). Exploring the determinants of confidence in the bat-and-ball problem. Acta psychologica, 180, 1-7. | Sciencedirect | ||
2020 | Littrell, S., Fugelsang, J., & Risko, E. F. (2020). Overconfidently underthinking: Narcissism negatively predicts cognitive reflection. Thinking & Reasoning, 26(3), 352-380. | Tandfonline | ||
2019 | Hoover, J. D., & Healy, A. F. (2019). The bat-and-ball problem: Stronger evidence in support of a conscious error process. Decision, 6 (4), 369-380. | APA PsycNET | ||
2019 | Bago, B., & De Neys, W. (2019). The smart System 1: Evidence for the intuitive nature of correct responding on the bat-and-ball problem. Thinking & Reasoning, 25(3), 257-299. | Tandfonline | ||
2019 | Webb, M. E., Cropper, S. J., & Little, D. R. (2019). “Aha!” is stronger when preceded by a “huh?”: presentation of a solution affects ratings of aha experience conditional on accuracy. Thinking & Reasoning, 25(3), 324-364. | Tandfonline | ||
2019 | Ball, L. J., & Christensen, B. T. (2019). Advancing an understanding of design cognition and design metacognition: Progress and prospects. Design Studies, 65, 35-59. | Sciencedirect | ||
2020 | Laukkonen, R. E., Kaveladze, B. T., Tangen, J. M., & Schooler, J. W. (2020). The dark side of Eureka: Artificially induced Aha moments make facts feel true. Cognition, 196, 104122. | Sciencedirect | ||
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