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York University

Transfer Success on the Linda Problem: A Re-Examination Using Dual Process Theory, Learning Material Characteristics, and Individual Differences

Abstract

dc:description.abstract

The Linda problem is an intensely studied task in the literature for judgments where participants judge the probability of various options and frequently make biased judgements known as conjunction errors. Here, I conceptually replicated and extended the finding by Agnoli and Krantz (1989) that when participants are explicitly trained with Venn diagrams to inhibit their heuristics, successful transfer of learning is observed. I tested whether transfer success was maintained: (1) when the purpose of the training was obscured; (2) after controlling for individual differences; and (3) when learning materials did not include visual images. I successfully replicated their finding, identifying transfer success when the purpose of the training was masked and after controlling for individual differences. Furthermore, the effects of individual differences on transfer success depends on both the kind of learning material used and whether the purpose was masked. Hence, these findings support claims that education can inhibit biases.

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Truong, Michael
Advisors dc:contributor.advisor
  • Stevens, Dale
  • Pathman, Jeni

Subjects

dc:subject × 3

Rights

dc:rights
Statement dc:rights
  • Author owns copyright, except where explicitly noted. Please contact the author directly with licensing requests.
Language dc:language
en

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/10315/40957
OAI identifier oai:identifier
oai:yorkspace.library.yorku.ca:10315/40957

Chain of custody

source
Harvested from
York University
Base URL
yorkspace.library.yorku.ca/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Truong, Michael. Transfer Success on the Linda Problem: A Re-Examination Using Dual Process Theory, Learning Material Characteristics, and Individual Differences. 2023. http://hdl.handle.net/10315/40957