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Modeling decisions among many altern...

Kvam, Peter.

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Modeling decisions among many alternatives.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Modeling decisions among many alternatives./
Author:	Kvam, Peter.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
Description:	108 p.
Notes:	Source: Dissertation Abstracts International, Volume: 78-08(E), Section: B.
Contained By:	Dissertation Abstracts International78-08B(E).
Subject:	Cognitive psychology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10256329
ISBN:	9781369566253

Modeling decisions among many alternatives.
Kvam, Peter.

Modeling decisions among many alternatives. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 108 p.

Source: Dissertation Abstracts International, Volume: 78-08(E), Section: B.

Thesis (Ph.D.)--Michigan State University, 2017.

Many of the actions we take depend on being able to make selections among many alternatives or even along a continuum. However, our understanding of the decision processes underlying these selections is sparse, largely due to a traditional focus on developing models of binary decisions. Recent forays into modeling multi-alternative decisions have been forced to build in relations between representations of available alternatives. In this paper, I propose and test a general framework for modeling decisions between arbitrarily large numbers of alternatives that naturally incorporates psychological relationships between the representations of available alternatives. In the first study, I construct and evaluate the basic components of a model of this process by establishing benchmark empirical phenomena for decisions on a continuum. In the second study, I examine how the number of alternatives and the relations between them affect representations and the components of the decision process. Taken together, this paper establishes benchmark empirical results in a new choice domain (continuous selection), proposes and tests a new modeling framework that accounts for these phenomena, and brings together decision and representation models in order to develop an over-arching theory of how people make decisions among many alternatives.

ISBN: 9781369566253Subjects--Topical Terms:

523881
Cognitive psychology.

Modeling decisions among many alternatives.
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245 1 0 $a Modeling decisions among many alternatives.
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300 $a 108 p.
500 $a Source: Dissertation Abstracts International, Volume: 78-08(E), Section: B.
500 $a Adviser: Susan Ravizza.
502 $a Thesis (Ph.D.)--Michigan State University, 2017.
520 $a Many of the actions we take depend on being able to make selections among many alternatives or even along a continuum. However, our understanding of the decision processes underlying these selections is sparse, largely due to a traditional focus on developing models of binary decisions. Recent forays into modeling multi-alternative decisions have been forced to build in relations between representations of available alternatives. In this paper, I propose and test a general framework for modeling decisions between arbitrarily large numbers of alternatives that naturally incorporates psychological relationships between the representations of available alternatives. In the first study, I construct and evaluate the basic components of a model of this process by establishing benchmark empirical phenomena for decisions on a continuum. In the second study, I examine how the number of alternatives and the relations between them affect representations and the components of the decision process. Taken together, this paper establishes benchmark empirical results in a new choice domain (continuous selection), proposes and tests a new modeling framework that accounts for these phenomena, and brings together decision and representation models in order to develop an over-arching theory of how people make decisions among many alternatives.
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