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Titlebook: Conjoint Measurement; Methods and Applicat Anders Gustafsson,Andreas Herrmann,Frank Huber Book 20012nd edition Springer-Verlag Berlin Heide

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书目名称Conjoint Measurement
副标题Methods and Applicat
编辑Anders Gustafsson,Andreas Herrmann,Frank Huber
视频video
概述Latest developments in conjoint analysis which is the most important multivariate technique in marketing.Covers all hot topics in the field.Includes supplementary material:
图书封面Titlebook: Conjoint Measurement; Methods and Applicat Anders Gustafsson,Andreas Herrmann,Frank Huber Book 20012nd edition Springer-Verlag Berlin Heide
描述by Paul E. Green I am honored and pleased to respond to authors request to write a Fore­ word for this excellent collection of essays on conjoint analysis and related topics. While a number of survey articles and sporadic book chapters have appeared on the subject, to the best of my knowledge this book represents the first volume of contributed essays on conjoint analysis. The book re­ flects not only the geographical diversity of its contributors but also the variety and depth of their topics. The development of conjoint analysis and its application to marketing and business research is noteworthy, both in its eclectic roots (psychometrics, statistics, operations research, economics) and the fact that its development reflects the efforts of a large variety of professionals -academics, market­ ing research consultants, industry practitioners, and software developers. Reasons for the early success and diffusion of conjoint analysis are not hard to find. First, by the early sixties, precursory psychometric techniques (e.g., multidimensional scaling and correspondence analysis, cluster analy­ sis, and general multivariate techniques) had already shown their value in practical business
出版日期Book 20012nd edition
关键词Brand; Choice-based Conjoint Analysis; Conjoint Measurement; Market Simulation; New Product Development;
版次2
doihttps://doi.org/10.1007/978-3-662-06392-7
isbn_ebook978-3-662-06392-7
copyrightSpringer-Verlag Berlin Heidelberg 2001
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Market Simulation Using a Probabilistic Ideal Vector Model for Conjoint Data,dividual part-worth functions by predicting shares of choices for alternatives in hypothetical market scenarios (Wittink, Vriens and Burhenne 1994 and Baier 1999 for surveys on commercial applications). Wide-spread software packages for conjoint analysis (Sawtooth Software’s 1994 ACA system) already
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A Comparison of Conjoint Measurement with Self-Explicated Approaches,imate that about 400 commercial applications were carried out per year during the early 1980s. In the 1990s this number probably exceeds 1000. The popularity of conjoint measurement appears to derive, at least in part, from its presumed superiority in validity over simpler, less expensive techniques
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,On the Influence of the Evaluation Methods in Conjoint Design — Some Empirical Results,es of various product concepts (both real and hypothetical) are created, and these are presented to test persons for evaluation. The contributions (partial benefits) the various attributes make to overall preference (overall benefit) are estimated on the basis of overall preference judgments (Green
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Adaptive Conjoint Analysis: Understanding the Methodology and Assessing Reliability and Validity,cientific purpose generally to organize knowledge and direct research in attempt to describe or explain some aspect of nature” (Peter 1981, 134) for which “[...] measures can be developed which at least partially represent the constructs.” (Peter and Churchill 1986, 1). Consequently, measuring a con
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