Determinants of Judgments of Explanatory Power: Credibility, Generality, and Statistical Relevance

Explanation is a central concept in human psychology. Drawing upon philosophical theories of explanation, psychologists have recently begun to examine the relationship between explanation, probability and causality. Our study advances this growing literature at the intersection of psychology and phi...

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Main Authors: Matteo Colombo, Leandra Bucher, Jan Sprenger
Format: Article
Language:English
Published: Frontiers Media S.A. 2017-09-01
Series:Frontiers in Psychology
Subjects:
Online Access:http://journal.frontiersin.org/article/10.3389/fpsyg.2017.01430/full
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spelling doaj-f495db91cc1944daaa74e15aa61e22d22020-11-24T20:59:07ZengFrontiers Media S.A.Frontiers in Psychology1664-10782017-09-01810.3389/fpsyg.2017.01430286243Determinants of Judgments of Explanatory Power: Credibility, Generality, and Statistical RelevanceMatteo Colombo0Leandra Bucher1Jan Sprenger2Tilburg Center for Logic, Ethics and Philosophy of Science, Tilburg UniversityTilburg, NetherlandsGeneral and Biological Psychology, University of WuppertalWuppertal, GermanyTilburg Center for Logic, Ethics and Philosophy of Science, Tilburg UniversityTilburg, NetherlandsExplanation is a central concept in human psychology. Drawing upon philosophical theories of explanation, psychologists have recently begun to examine the relationship between explanation, probability and causality. Our study advances this growing literature at the intersection of psychology and philosophy of science by systematically investigating how judgments of explanatory power are affected by (i) the prior credibility of an explanatory hypothesis, (ii) the causal framing of the hypothesis, (iii) the perceived generalizability of the explanation, and (iv) the relation of statistical relevance between hypothesis and evidence. Collectively, the results of our five experiments support the hypothesis that the prior credibility of a causal explanation plays a central role in explanatory reasoning: first, because of the presence of strong main effects on judgments of explanatory power, and second, because of the gate-keeping role it has for other factors. Highly credible explanations are not susceptible to causal framing effects, but they are sensitive to the effects of normatively relevant factors: the generalizability of an explanation, and its statistical relevance for the evidence. These results advance current literature in the philosophy and psychology of explanation in three ways. First, they yield a more nuanced understanding of the determinants of judgments of explanatory power, and the interaction between these factors. Second, they show the close relationship between prior beliefs and explanatory power. Third, they elucidate the nature of abductive reasoning.http://journal.frontiersin.org/article/10.3389/fpsyg.2017.01430/fullexplanationprior credibilitycausal framinggeneralitystatistical relevance
collection DOAJ
language English
format Article
sources DOAJ
author Matteo Colombo
Leandra Bucher
Jan Sprenger
spellingShingle Matteo Colombo
Leandra Bucher
Jan Sprenger
Determinants of Judgments of Explanatory Power: Credibility, Generality, and Statistical Relevance
Frontiers in Psychology
explanation
prior credibility
causal framing
generality
statistical relevance
author_facet Matteo Colombo
Leandra Bucher
Jan Sprenger
author_sort Matteo Colombo
title Determinants of Judgments of Explanatory Power: Credibility, Generality, and Statistical Relevance
title_short Determinants of Judgments of Explanatory Power: Credibility, Generality, and Statistical Relevance
title_full Determinants of Judgments of Explanatory Power: Credibility, Generality, and Statistical Relevance
title_fullStr Determinants of Judgments of Explanatory Power: Credibility, Generality, and Statistical Relevance
title_full_unstemmed Determinants of Judgments of Explanatory Power: Credibility, Generality, and Statistical Relevance
title_sort determinants of judgments of explanatory power: credibility, generality, and statistical relevance
publisher Frontiers Media S.A.
series Frontiers in Psychology
issn 1664-1078
publishDate 2017-09-01
description Explanation is a central concept in human psychology. Drawing upon philosophical theories of explanation, psychologists have recently begun to examine the relationship between explanation, probability and causality. Our study advances this growing literature at the intersection of psychology and philosophy of science by systematically investigating how judgments of explanatory power are affected by (i) the prior credibility of an explanatory hypothesis, (ii) the causal framing of the hypothesis, (iii) the perceived generalizability of the explanation, and (iv) the relation of statistical relevance between hypothesis and evidence. Collectively, the results of our five experiments support the hypothesis that the prior credibility of a causal explanation plays a central role in explanatory reasoning: first, because of the presence of strong main effects on judgments of explanatory power, and second, because of the gate-keeping role it has for other factors. Highly credible explanations are not susceptible to causal framing effects, but they are sensitive to the effects of normatively relevant factors: the generalizability of an explanation, and its statistical relevance for the evidence. These results advance current literature in the philosophy and psychology of explanation in three ways. First, they yield a more nuanced understanding of the determinants of judgments of explanatory power, and the interaction between these factors. Second, they show the close relationship between prior beliefs and explanatory power. Third, they elucidate the nature of abductive reasoning.
topic explanation
prior credibility
causal framing
generality
statistical relevance
url http://journal.frontiersin.org/article/10.3389/fpsyg.2017.01430/full
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AT leandrabucher determinantsofjudgmentsofexplanatorypowercredibilitygeneralityandstatisticalrelevance
AT jansprenger determinantsofjudgmentsofexplanatorypowercredibilitygeneralityandstatisticalrelevance
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