Proximity and Preference: Problems in the Multidimensional Analysis of Large Data Sets
ISBN: 9780816662630
Platform/Publisher: JSTOR / University of Minnesota Press
Digital rights: Users: unlimited; Printing: chapter; Download: chapter
Subjects: Geographical perception; Space perception; Multidimensional scaling;

How does one design experiments for collecting large volumes of data such as those needed for marketing surveys, studies of travel patterns, and public opinion polls? This is a common problem for social and behavioral scientists. The papers in this collection address the problems of working with large data sets primarily from the perspectives of geography and psychology, two fields that share a common quantitative research methodology. After an introductory paper on substantive and methodological aspects of the interface between geography and psychology, the book is divided into three sections, experimental design and measurement problems, preference functions and choice behavior, and special problems of analyzing large data sets with multidimensional methods. Each paper is directed toward some fundamental problem such as those relating to experimental design, data reliability, and the selection of analytical methods which are appropriate for data sets of various sizes, completeness, and reliability.


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