Escalamiento Multidimensional

Translated title of the contribution: Multidimensional Scalling

Jose Alvidrez Villegas, Georgina Morales

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

Abstract

The present chapter offers a conceptual approach to the Multidimensional Scalling technique (MDS), which is a popular statistical technique applied in social science and behavioural research in order to uncover underlying patterns in judgments made by individuals, based on a system of proximities and distances among these judgments (Arce, De Francisco & Arce, 2010). These attributions are represented on a dispersion graphic or "perceptual map" in which the axis represent latent dimensions and the points represent opinions, beliefs or estimations present in subjects. Distances between groups of points reflect subjective distances among the responses collected from subjects in a sample. The chapter explores some emprical examples and areas of application, and facilitates comprehension.
Original languageSpanish
Title of host publicationMetodología y técnicas cualitativas y cuantitativas aplicables a la investigación en ciencias sociales
Place of PublicationCiudad de México
PublisherTirant Lo Blanch
Chapter16
Pages352-370
Number of pages18
Edition1st
ISBN (Print)978-84-16062-32-4
Publication statusPublished - 2014

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  • Cite this

    Alvidrez Villegas, J., & Morales, G. (2014). Escalamiento Multidimensional. In Metodología y técnicas cualitativas y cuantitativas aplicables a la investigación en ciencias sociales (1st ed., pp. 352-370). Tirant Lo Blanch.