Intuitive logic revisited: New data and a bayesian mixed model meta-analysis

PLoS ONE

Volumn 9, Issue 4, 2014, Pages

  Singmann, Henrik ^a   Klauer, Karl Christoph ^a   Kellen, David ^a  

^a UNIVERSITY OF FREIBURG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ADOLESCENT; ADULT; AGED; ARTICLE; BAYES THEOREM; BIOSTATISTICS; DATA ANALYSIS; HUMAN; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; MATHEMATICAL PARAMETERS; META ANALYSIS (TOPIC); NULL HYPOTHESIS; STATISTICAL ANALYSIS; STATISTICAL MODEL; INTUITION; LOGIC; MIDDLE AGED; REPRODUCIBILITY; THEORETICAL MODEL; YOUNG ADULT;

ADOLESCENT; ADULT; BAYES THEOREM; HUMANS; INTUITION; LOGIC; META-ANALYSIS AS TOPIC; MIDDLE AGED; MODELS, THEORETICAL; REPRODUCIBILITY OF RESULTS; YOUNG ADULT;

EID: 84899681300     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0094223     Document Type: Article

References (59)

1. Evans JSBT (2002) Logic and human reasoning: An assessment of the deduction paradigm. Psychological bulletin 128: 978-996.
2. Johnson-Laird PN, Byrne RM (1991) Deduction. Lawrence Erlbaum Associates, Inc.
3. Stanovich KE (1999) Who is rational? studies of individual differences in reasoning. Mahwah, N.J.: Lawrence Erlbaum Associates.
4. Tversky A, Kahneman D (1974) Judgment under uncertainty: Heuristics and biases. Science 185: 1124-1131.
5. Kahneman D (2011) Thinking, fast and slow. New York: Farrar, Straus and Giroux.
6. Evans JSBT, Over DE (2004) If. OUP Oxford.
7. Oaksford M, Chater N (2007) Bayesian rationality: the probabilistic approach to human reasoning. Oxford; New York: Oxford University Press.
8. Evans JSBT (2012) Questions and challenges for the new psychology of reasoning. Thinking & Reasoning 18: 5-31.
9. Evans JSBT, Barston JL, Pollard P (1983) On the conflict between logic and belief in syllogistic reasoning. Memory & Cognition 11: 295-306.
10. Klauer KC, Musch J, Naumer B (2000) On belief bias in syllogistic reasoning. Psychological Review 107: 852-884.
11. Stanovich KE, West RF (1998) Individual differences in rational thought. Journal of Experimental Psychology: General 127: 161-188.
12. Khemlani S, Johnson-Laird PN (2012) Theories of the syllogism: A meta-analysis. Psychological Bulletin 138: 427-457.
13. De Neys W (2012) Bias and conflict a case for logical intuitions. Perspectives on Psychological Science 7: 28-38.
14. Morsanyi K, Handley SJ (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.
15. De Neys W, Glumicic T (2008) Conflict monitoring in dual process theories of thinking. Cognition 106: 1248-1299. (Pubitemid 351172238)
16. Topolinski S, Strack F (2008) Where there's a will-there's no intuition. the unintentional basis of semantic coherence judgments. Journal of Memory and Language 58: 1032-1048.
17. Topolinski S, Strack F (2009) The architecture of intuition: Fluency and affect determine intuitive judgments of semantic and visual coherence and judgments of grammaticality in artificial grammar learning. Journal of Experimental Psychology: General 138: 39-63.
18. Winkielman P, Cacioppo JT (2001) Mind at ease puts a smile on the face: Psychophysiological evidence that processing facilitation elicits positive affect. Journal of Personality and Social Psychology 81: 989-1000. (Pubitemid 33594524)
19. Whittlesea BWA (1993) Illusions of familiarity. Journal of Experimental Psychology: Learning, Memory, and Cognition 19: 1235-1253.
20. Klauer KC, Singmann H (2013) Does logic feel good? testing for intuitive detection of logicality in syllogistic reasoning. Journal of Experimental Psychology: Learning, Memory, and Cognition 39: 1265-1273.
21. Rouder JN, Morey RD, Speckman PL, Province JM (2012) Default bayes factors for ANOVA designs. Journal of Mathematical Psychology 56: 356-374.
22. Bakeman R (2005) Recommended effect size statistics for repeated measures designs. Behavior Research Methods 37: 379-384.
23. Evans JSBT (2007) On the resolution of conflict in dual process theories of reasoning. Thinking & Reasoning 13: 321-339.
24. Thompson VA, Prowse Turner JA, Pennycook G (2011) Intuition, reason, and metacognition. Cognitive Psychology 63: 107-140.
25. De Neys W, Bonnefon JF (2013) The 'whys' and 'whens' of individual differences in thinking biases. Trends in Cognitive Sciences 17: 172-178.
26. De Neys W (2014) Conflict, arousal, and logical gut feelings. In: Blanchette I, editor, Emotion and Reasoning, Hove, UK: Psychology Press. In press.
27. Meehl PE (1978) Theoretical risks and tabular asterisks: Sir karl, sir ronald, and the slow progress of soft psychology. Journal of Consulting and Clinical Psychology 46: 806-834.
28. Wagenmakers EJ (2007) A practical solution to the pervasive problems of p values. Psychonomic Bulletin & Review 14: 779-804.
29. Judd CM, Westfall J, Kenny DA (2012) Treating stimuli as a random factor in social psychology: A new and comprehensive solution to a pervasive but largely ignored problem. Journal of Personality and Social Psychology 103: 54-69.
30. Clark HH (1973) The language-as-fixed-effect fallacy: A critique of language statistics in psychological research. Journal of verbal learning and verbal behavior 12: 335-359.
31. Cohen J (1994) The earth is round (p<.05). American Psychologist 49: 997-1003.
32. Edwards W, Lindman H, Savage LJ (1963) Bayesian statistical inference for psychological research. Psychological Review 70: 193-242.
33. Gallistel CR (2009) The importance of proving the null. Psychological Review 116: 439-453.
34. Sternberg S (1966) High-speed scanning in human memory. Science 153: 652-654.
35. Wetzels R, Matzke D, Lee MD, Rouder JN, Iverson GJ, et al. (2011) Statistical evidence in experimental psychology an empirical comparison using 855 t tests. Perspectives on Psychological Science 6: 291-298.
36. Gelman A, Carlin JB, Stern HS, Rubin DB (2004) Bayesian data analysis. Boca Raton: Chapman & Hall/CRC.
37. Gelman A (2005) Analysis of variance: Why it is more important than ever. The Annals of Statistics 33: 1-31.
38. Kass RE, Raftery AE (1995) Bayes factors. Journal of the American Statistical Association 90: 773-795.
39. Myung IJ, Pitt MA (1997) Applying occam's razor in modeling cognition: A bayesian approach. Psychonomic Bulletin & Review 4: 79-95. (Pubitemid 127461348)
40. Vandekerckhove J, Matzke D, Wagenmakers EJ (2014) Model comparison and the principle of parsimony. In: Busemeyer JR, Townsend Z, Wang J, Eidels A, editors, Oxford Handbook of Computational and Mathematical Psychology, Oxford: Oxford University Press. In press.
41. Morey RD, Rouder JN (2013). BayesFactor: computation of bayes factors for common designs. R package version 0.9.4/r331.
42. R Core Team (2013) R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. Available: http://www.R-project.org/.
43. Baayen R, Davidson D, Bates D (2008) Mixed-effects modeling with crossed random effects for subjects and items. Journal of Memory and Language 59: 390-412.
44. Gelman A, Hill J (2009) Data analysis using regression and multilevel/hierarchical models. Cambridge; New York: Cambridge University Press.
45. Over DE, Hadjichristidis C, Evans JSBT, Handley SJ, Sloman SA (2007) The probability of causal conditionals. Cognitive Psychology 54: 62-97. (Pubitemid 44932854)
46. Barr DJ, Levy R, Scheepers C, Tily HJ (2013) Random effects structure for confirmatory hypothesis testing: Keep it maximal. Journal of Memory and Language 68: 255-278.
47. Johnson VE (2013) Revised standards for statistical evidence. Proceedings of the National Academy of Sciences : 19313-19317.
48. Handley SJ, Newstead SE, Trippas D (2011) Logic, beliefs, and instruction: A test of the default interventionist account of belief bias. Journal of Experimental Psychology: Learning, Memory, and Cognition 37: 28-43.
49. Unkelbach C, Greifeneder R (2013) The experience of thinking: how the fluency of mental processes influences cognition and behaviour. New York: Psychology Press.
50. Klauer KC, Beller S, Hutter M (2010) Conditional reasoning in context: A dual-source model of probabilistic inference. Journal of Experimental Psychology: Learning, Memory, and Cognition 36: 298-323.
51. Smith JB, Batchelder WH (2008) Assessing individual differences in categorical data. Psychonomic Bulletin & Review 15: 713-731.
52. De Neys W, Rossi S, Houd O (2013) Bats, balls, and substitution sensitivity: cognitive misers are no happy fools. Psychonomic Bulletin & Review 20: 269-273.
53. Franssens S, De Neys W (2009) The effortless nature of conflict detection during thinking. Thinking & Reasoning 15: 105-128.
54. Evans JSBT, Stanovich KE (2013) Dual-process theories of higher cognition advancing the debate. Perspectives on Psychological Science 8: 223-241.
55. Gigerenzer G, Todd PM (1999) Fast and frugal heuristics: The adaptive toolbox. In: Gigerenzer G, Todd PM, the ABC Research Group, editors, Simple heuristics that make us smart, New York, NY, US: Oxford University Press, Evolution and cognition. 3-34.
56. Johnson-Laird PN (2010) Against logical form. Psychologica Belgica 50: 193-221.
57. Wagenmakers EJ, Wetzels R, Borsboom D, van der Maas HLJ (2011) Why psychologists must change the way they analyze their data: The case of psi: Comment on bem (2011). Journal of Personality and Social Psychology 100: 426-432.
58. Baguley T (2012) Calculating and graphing within-subject confidence intervals for ANOVA. Behavior Research Methods 44: 158-175.
59. Jeffreys H (1961) Theory of probability. Oxford: Clarendon Press, 3 ed. edition.