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New normative standards of conditional reasoning and the dual-source model

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Singmann, Henrik, Klauer, Karl Christoph and Over, David (2014) New normative standards of conditional reasoning and the dual-source model. Frontiers in Psychology, 5 . doi:10.3389/fpsyg.2014.00316 ISSN 1664-1078.

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Official URL: http://dx.doi.org/10.3389/fpsyg.2014.00316

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Abstract

There has been a major shift in research on human reasoning toward Bayesian and probabilistic approaches, which has been called a new paradigm. The new paradigm sees most everyday and scientific reasoning as taking place in a context of uncertainty, and inference is from uncertain beliefs and not from arbitrary assumptions. In this manuscript we present an empirical test of normative standards in the new paradigm using a novel probabilized conditional reasoning task. Our results indicated that for everyday conditional with at least a weak causal connection between antecedent and consequent only the conditional probability of the consequent given antecedent contributes unique variance to predicting the probability of conditional, but not the probability of the conjunction, nor the probability of the material conditional. Regarding normative accounts of reasoning, we found significant evidence that participants' responses were confidence preserving (i.e., p-valid in the sense of Adams, 1998) for MP inferences, but not for MT inferences. Additionally, only for MP inferences and to a lesser degree for DA inferences did the rate of responses inside the coherence intervals defined by mental probability logic (Pfeifer and Kleiter, 2005, 2010) exceed chance levels. In contrast to the normative accounts, the dual-source model (Klauer et al., 2010) is a descriptive model. It posits that participants integrate their background knowledge (i.e., the type of information primary to the normative approaches) and their subjective probability that a conclusion is seen as warranted based on its logical form. Model fits showed that the dual-source model, which employed participants' responses to a deductive task with abstract contents to estimate the form-based component, provided as good an account of the data as a model that solely used data from the probabilized conditional reasoning task.

Item Type: Journal Article
Subjects: B Philosophy. Psychology. Religion > BC Logic
B Philosophy. Psychology. Religion > BF Psychology
Divisions: Faculty of Science, Engineering and Medicine > Science > Psychology
Library of Congress Subject Headings (LCSH): Reasoning (Psychology) , Bayesian statistical decision theory, Rationalization (Psychology), Probabilities
Journal or Publication Title: Frontiers in Psychology
Publisher: Frontiers Research Foundation
ISSN: 1664-1078
Official Date: 14 April 2014
Dates:
DateEvent
14 April 2014Published
Volume: 5
DOI: 10.3389/fpsyg.2014.00316
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access (Creative Commons)
Date of first compliant deposit: 17 September 2019
Date of first compliant Open Access: 17 September 2019
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
SPP 1516[DFG] Deutsche Forschungsgemeinschafthttp://dx.doi.org/10.13039/501100001659
KL 614/33-1 [DFG] Deutsche Forschungsgemeinschafthttp://dx.doi.org/10.13039/501100001659

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