Literature DB >> 12747506

Syllogistic reasoning time: disconfirmation disconfirmed.

Valerie A Thompson1, Christopher L Striemer, Rhett Reikoff, Raymond W Gunter, Jamie I D Campbell.   

Abstract

Models of deductive reasoning typically assume that reasoners dedicate more logical analysis to unbelievable conclusions than to believable ones (e.g., Evans, Newstead, Allen, & Pollard, 1994; Newstead, Pollard, Evans, & Allen, 1992). When the conclusion is believable, reasoners are assumed to accept it without much further thought, but when it is unbelievable, they are assumed to analyze the conclusion, presumably in an attempt to disconfirm it. This disconfirmation hypothesis leads to two predictions, which were tested in the present experiment: Reasoners should take longer to reason about problems leading to unbelievable conclusions, and reasoners should consider more models or representations of premise information for unbelievable conclusions than for believable ones. Neither prediction was supported by our data. Indeed, we observed that reasoners took significantly longer to reason about believable conclusions than about unbelievable ones and generated the same number of representations regardless of the believability of the premises. We propose a model, based on a modified version of verbal reasoning theory (Polk & Newell, 1995), that does not depend on the disconfirmation assumption.

Entities:  

Mesh:

Year:  2003        PMID: 12747506     DOI: 10.3758/bf03196483

Source DB:  PubMed          Journal:  Psychon Bull Rev        ISSN: 1069-9384


  7 in total

1.  On belief bias in syllogistic reasoning.

Authors:  K C Klauer; J Musch; B Naumer
Journal:  Psychol Rev       Date:  2000-10       Impact factor: 8.934

2.  Falsifying mental models: testing the predictions of theories of syllogistic reasoning.

Authors:  S E Newstead; S J Handley; E Buck
Journal:  Mem Cognit       Date:  1999-03

3.  The source of belief bias effects in syllogistic reasoning.

Authors:  S E Newstead; P Pollard; J S Evans; J L Allen
Journal:  Cognition       Date:  1992-12

4.  Believability and syllogistic reasoning.

Authors:  J Oakhill; P N Johnson-Laird; A Garnham
Journal:  Cognition       Date:  1989-03

5.  The belief-bias effect in the production and evaluation of logical conclusions.

Authors:  H Markovits; G Nantel
Journal:  Mem Cognit       Date:  1989-01

6.  On the conflict between logic and belief in syllogistic reasoning.

Authors:  J S Evans; J L Barston; P Pollard
Journal:  Mem Cognit       Date:  1983-05

7.  Generating alternatives: a key component in human reasoning?

Authors:  Stephen E Newstead; Valerie A Thompson; Simon J Handley
Journal:  Mem Cognit       Date:  2002-01
  7 in total
  8 in total

1.  A dual-process model of belief and evidence interactions in causal reasoning.

Authors:  Jonathan A Fugelsang; Valerie A Thompson
Journal:  Mem Cognit       Date:  2003-07

2.  "At least one" problem with "some" formal reasoning paradigms.

Authors:  James R Schmidt; A Thompson
Journal:  Mem Cognit       Date:  2008-01

3.  Confidence and accuracy in deductive reasoning.

Authors:  Jody M Shynkaruk; Valerie A Thompson
Journal:  Mem Cognit       Date:  2006-04

4.  Beyond ROC curvature: Strength effects and response time data support continuous-evidence models of recognition memory.

Authors:  Chad Dube; Jeffrey J Starns; Caren M Rotello; Roger Ratcliff
Journal:  J Mem Lang       Date:  2012-10       Impact factor: 3.059

Review 5.  The intersection between Descriptivism and Meliorism in reasoning research: further proposals in support of 'soft normativism'.

Authors:  Edward J N Stupple; Linden J Ball
Journal:  Front Psychol       Date:  2014-11-05

6.  Slower is not always better: Response-time evidence clarifies the limited role of miserly information processing in the Cognitive Reflection Test.

Authors:  Edward J N Stupple; Melanie Pitchford; Linden J Ball; Thomas E Hunt; Richard Steel
Journal:  PLoS One       Date:  2017-11-03       Impact factor: 3.240

7.  Characterizing belief bias in syllogistic reasoning: A hierarchical Bayesian meta-analysis of ROC data.

Authors:  Dries Trippas; David Kellen; Henrik Singmann; Gordon Pennycook; Derek J Koehler; Jonathan A Fugelsang; Chad Dubé
Journal:  Psychon Bull Rev       Date:  2018-12

8.  Fluency and belief bias in deductive reasoning: new indices for old effects.

Authors:  Dries Trippas; Simon J Handley; Michael F Verde
Journal:  Front Psychol       Date:  2014-06-24
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.