164
Views
30
CrossRef citations to date
0
Altmetric
Original Article

What makes us believe a conditional? The roles of covariation and causality

, &
Pages 340-369 | Received 08 Dec 2005, Published online: 04 Oct 2007
 

Abstract

Two experiments were conducted to investigate the roles of covariation and of causality in people's readiness to believe a conditional. The experiments used a probabilistic truth-table task (Oberauer & Wilhelm, Citation2003) in which people estimated the probability of a conditional given information about the frequency distribution of truth-table cases. For one group of people, belief in the conditional was determined by the conditional probability of the consequent, given the antecedent, whereas for another group it depended on the probability of the conjunction of antecedent and consequent. There was little evidence that covariation, expressed as the probabilistic contrast or as the pCI rule (White, Citation2003), influences belief in the conditional. The explicit presence of a causal link between antecedent and consequent in a context story had a weak positive effect on belief in a conditional when the frequency distribution of relevant cases was held constant.

Acknowledgments

This research was supported by Deutsche Forschungsgemeinschaft (DFG, grant FOR 375 1-1). We thank Sonja Geiger, Annekatrin Hudjetz, and Moritz Ischebeck for helpful comments on an earlier draft of this paper. We are especially indebted to Mirko Wendland for posting our experiments on his W-Lab server, http://w-lab.de, and to Ulf Reips for broadly advertising them through his web page, http://www.psychologie.unizh.ch/sowi/Ulf/Lab/WebExpPsyLabD.html

Notes

1We asked for the probability that the conditional is true in a sample of 50 from the population because it has been argued from a frequentist view of probabilities that probabilities of single events are undefined (Gigerenzer, Citation1996). Others have asked for the probability of a conditional applied to a single event (Evans et al., Citation2003), with virtually the same results. We have varied the sample size between 10 and 100 and found little effect on people's estimates of the probability of the conditional (Oberauer, Geiger, Fischer, & Weidenfeld, Citation2007).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 418.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.