O senso do escalonamento multidimensional

 

Marc Scholten (*)

Pedro Zany Caldeira (**)

 

RESUMO

Este artigo fornece uma introdução ao escalonamento multidimensional (MultiDimensional Scaling - MDS), um conjunto de modelos de distância espacial como forma de representação de dados de proximidade. O artigo focaliza-se no que é que o MSD faz, no sentido de que tipo de representações produz a partir de um conjunto de dados de proximidade, e no que é que o investigador deve fazer para que o MDS faça, no sentido de que tipo de métodos de recolha e de preparação de dados se deve usar de modo a obter dados que permitem a análise de MDS. O artigo ignora em grande parte a matéria técnica de como é que o MDS faz, embora forneça directivas para ajudar o investigador decidir se se justifica ajustar um modelo de distâncias espaciais aos dados de proximidade obtidos, escolher entre os modelos principais e as opções de modelos na análise de dados e conseguir uma interpretação válida dos resultados do MDS.

Palavras-chave: Dados de Proximidade, Escalonamento Multidimensional.

 

 

ABSTRACT

This article provides an introduction to MultiDimensional Scaling (MDS) as it refers to a family of spatial-distance models for the representation of proximity data. The article focuses on what MDS does, in the sense of what type of representations it produces given a set of proximity data, and what the researcher has to do in order to make MDS do it, in the sense of what type od data-collection and data-preparation methods are to be used in order to obtain data that are amenable to MDS analysis. The article largely ignores the technical matter of how MDS does it, although it provides guidelines to aid the research in deciding whether it is justifiable to fit a spatial-distance model to the proximity data obtained, choosing among the principal models and model options in data analysis, and reahing a valid interpretation of the MDS results.

Key words: Proximity Data, MultiDimensional (MDS).

 

 

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Full text only available in PDF format.

 

 

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(*) Universidade Católica Portuguesa

(**) Bolseiro PRAXIS XXI/UIIPOG-ISPA.