Dual processes and training in statistical principles

Helen L. Neilens; Simon J. Handley; Stephen E. Newstead

Dual processes and training in statistical principles

Helen L. Neilens, Simon J. Handley, Stephen E. Newstead

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

Abstract

A statistical training study is reported which demonstrates that analytic responding on everyday reasoning problems can be increased after instruction in statistical principles. Participants were given training on the Law of Large Numbers (Fong, Krantz and Nisbett, 1986). Bias was eliminated, but only on written justifications of their responses. Belief based responding was still utilized when participants were asked for a quick indication of argument strength on a rating scale, thus demonstrating a dissociation between analytic and belief-based responding. Findings are discussed in terms of dual process theories of reasoning.

Original language	English
Title of host publication	Proceedings of the 27th Annual Conference of the Cognitive Science Society
Editors	Bruno G. Bara, Lawrence Barsalou, Monica Bucciarelli
Place of Publication	Mahwah, New Jersey
Publisher	Cognitive Science Society
Pages	1612-1617
Number of pages	6
ISBN (Print)	0976831813
Publication status	Published - 2005
Externally published	Yes
Event	Annual Conference of the Cognitive Science Society (27th : 2005) - Stresa, Italy Duration: 21 Jul 2005 → 23 Jul 2005

Conference

Conference	Annual Conference of the Cognitive Science Society (27th : 2005)
City	Stresa, Italy
Period	21/07/05 → 23/07/05

Keywords

dual processes
critical thinking
belief-motivated reasoning
Law of Large Numbers
training

Access to Document

http://csjarchive.cogsci.rpi.edu/Proceedings/2005/forms/content4.htm#Top

Cite this

@inproceedings{94d77e003e054004a99d74d6164c889a,

title = "Dual processes and training in statistical principles",

abstract = "A statistical training study is reported which demonstrates that analytic responding on everyday reasoning problems can be increased after instruction in statistical principles. Participants were given training on the Law of Large Numbers (Fong, Krantz and Nisbett, 1986). Bias was eliminated, but only on written justifications of their responses. Belief based responding was still utilized when participants were asked for a quick indication of argument strength on a rating scale, thus demonstrating a dissociation between analytic and belief-based responding. Findings are discussed in terms of dual process theories of reasoning.",

keywords = "dual processes, critical thinking, belief-motivated reasoning, Law of Large Numbers, training",

author = "Neilens, {Helen L.} and Handley, {Simon J.} and Newstead, {Stephen E.}",

year = "2005",

language = "English",

isbn = "0976831813",

pages = "1612--1617",

editor = "Bara, {Bruno G.} and Lawrence Barsalou and Monica Bucciarelli",

booktitle = "Proceedings of the 27th Annual Conference of the Cognitive Science Society",

publisher = "Cognitive Science Society",

note = "Annual Conference of the Cognitive Science Society (27th : 2005) ; Conference date: 21-07-2005 Through 23-07-2005",

}

Neilens, HL, Handley, SJ & Newstead, SE 2005, Dual processes and training in statistical principles. in BG Bara, L Barsalou & M Bucciarelli (eds), Proceedings of the 27th Annual Conference of the Cognitive Science Society. Cognitive Science Society, Mahwah, New Jersey, pp. 1612-1617, Annual Conference of the Cognitive Science Society (27th : 2005), Stresa, Italy, 21/07/05. <http://csjarchive.cogsci.rpi.edu/Proceedings/2005/forms/content4.htm#Top>

Dual processes and training in statistical principles. / Neilens, Helen L.; Handley, Simon J.; Newstead, Stephen E.

Proceedings of the 27th Annual Conference of the Cognitive Science Society. ed. / Bruno G. Bara; Lawrence Barsalou; Monica Bucciarelli. Mahwah, New Jersey : Cognitive Science Society, 2005. p. 1612-1617.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

TY - GEN

T1 - Dual processes and training in statistical principles

AU - Neilens, Helen L.

AU - Handley, Simon J.

AU - Newstead, Stephen E.

PY - 2005

Y1 - 2005

N2 - A statistical training study is reported which demonstrates that analytic responding on everyday reasoning problems can be increased after instruction in statistical principles. Participants were given training on the Law of Large Numbers (Fong, Krantz and Nisbett, 1986). Bias was eliminated, but only on written justifications of their responses. Belief based responding was still utilized when participants were asked for a quick indication of argument strength on a rating scale, thus demonstrating a dissociation between analytic and belief-based responding. Findings are discussed in terms of dual process theories of reasoning.

AB - A statistical training study is reported which demonstrates that analytic responding on everyday reasoning problems can be increased after instruction in statistical principles. Participants were given training on the Law of Large Numbers (Fong, Krantz and Nisbett, 1986). Bias was eliminated, but only on written justifications of their responses. Belief based responding was still utilized when participants were asked for a quick indication of argument strength on a rating scale, thus demonstrating a dissociation between analytic and belief-based responding. Findings are discussed in terms of dual process theories of reasoning.

KW - dual processes

KW - critical thinking

KW - belief-motivated reasoning

KW - Law of Large Numbers

KW - training

M3 - Conference proceeding contribution

SN - 0976831813

SP - 1612

EP - 1617

BT - Proceedings of the 27th Annual Conference of the Cognitive Science Society

A2 - Bara, Bruno G.

A2 - Barsalou, Lawrence

A2 - Bucciarelli, Monica

PB - Cognitive Science Society

CY - Mahwah, New Jersey

T2 - Annual Conference of the Cognitive Science Society (27th : 2005)

Y2 - 21 July 2005 through 23 July 2005

ER -

Dual processes and training in statistical principles

Abstract

Conference

Keywords

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