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Analyzing Decision Making: Metric Conjoint Analysis: Quantitative Applications in the Social Sciences, cartea 67

Autor Jordan J. Louviere
en Limba Engleză Electronic book text – 30 mai 1988
This volume introduces the theory, method, and applications of one type of conjoint analysis technique -- techniques which are used to study individual judgement and decision processes. Based upon Information Integration Theory, metric conjoint analysis allows for evaluation of multi-attribute alternatives based on interval level data. The model, which justifies use of metric conjoint methods, and the statistical techniques drawn from it, are the core of this monograph. Also described are applications of the model in marketing, psychology, economics, sociology, planning and other disciplines, all of which relate to forecasting the decision-making behaviour of individuals.
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Specificații

ISBN-13: 9781452212920
ISBN-10: 1452212929
Pagini: 96
Dimensiuni: 140 x 216 mm
Ediția:1
Editura: SAGE Publications
Colecția Sage Publications, Inc
Seria Quantitative Applications in the Social Sciences

Locul publicării:Thousand Oaks, United States

Cuprins

Background Concepts and Theory
Design and Analysis of Conjoint Experiments
Practical Applications of Conjoint Theory and Methods
Predicting Likely Market Choices from Conjoint Studies and Other Strategic Applications of Conjoint Models

Descriere

This volume introduces the theory, method, and applications of one type of conjoint analysis technique. These techniques are used to study individual judgement and decision processes. Based upon Information Integration Theory, metric conjoint analysis allows for evaluation of multi-attribute alternatives based on interval level data. The model, which justifies use of metric conjoint methods and the statistical techniques drawn from it, are the core of this monograph. Also described are applications of the model in marketing, psychology, economics, sociology, planning, and other disciplines, all of which relate to forecasting the decision-making behavior of individuals.