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The Use of Multidimensional Scaling Methods in the Study of Negotiation and Social Conflict

Bibliographic Data

ID12618738
AuthorsMichele J Gelfand (0000-0002-9780-9230, Southern Methodist University, corresponding author), Lili Duan (0000-0003-3838-1956), Robin L Pinkley (Southern Methodist University), Robin Pinkley
Year2005
Volume10
Issue1
Pages79-96
Publication date2005-01-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueInternational Negotiation (JOURNAL)
Journal identifiersISSN: 1382-340X • E-ISSN: 1571-8069
PublisherBrill (PUBLISHER • NL)
DOI10.1163/1571806054741056
OpenAlexW1995807918
LanguageEN
Citations received7
References cited7

MDS (multidimensional scaling) is a technique that enables researchers to uncover the spatial representation or "hidden structure" that underlies and defines behavioral data – such as negotiator or disputant perceptions and preferences. Although MDS has wide-ranging theoretical and applied appeal, it has been highly underutilized in the conflict and negotiation literature. In this paper, we seek to illustrate the promise that MDS offers in the study of conflict and negotiation. We begin with a discussion of how MDS can be differentiated from other multivariate techniques, such as factor analysis. Next we provide a brief overview of multidimensional scaling techniques – highlighting the various methods available for collecting proximity data and the computer analysis programs that can be used to analyze them. We further review the nature of the results and the ways in which they are interpreted. We conclude with some examples of the types of questions that have been addressed using MDS in the conflict and negotiation literature and a discussion about the promise this technique has for future research

Appeal · Data science · Machine learning · Management science · Multidimensional scaling · Negotiation · Perception · Political science · Representation (politics · Social conflict · Social science · Sociology · Animal Behavior and Reproduction · Computer Science · Cultural Differences and Values · Experimental Behavioral Economics Studies · Psychology · Social Psychology

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Unique citing works7
Citations per year0.64
Citation span2015 - 2021 (7)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 7

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