Proximity and Preference : Problems in the Multidimensional Analysis of Large Data Sets.
Title:
Proximity and Preference : Problems in the Multidimensional Analysis of Large Data Sets.
Author:
Golledge, Reginald G.
ISBN:
9780816662630
Personal Author:
Physical Description:
1 online resource (356 pages)
Contents:
Contents -- Preface -- Introduction: Substantive and Methodological Aspects of the Interface between Geography and Psychology -- Part 1. Experimental Design and Measurement Problems -- Chapter 1.1 Surveying Multidimensional Measurement -- Chapter 1.2 Interactively Ordering the Similarities among a Large Set of Stimuli -- Chapter 1.3 Incomplete Experimental Designs for Multidimensional Scaling -- Chapter 1.4 Sampling Designs and Recovering Cognitive Representations of an Urban Area -- Chapter 1.5 Considerations in the Selection of Stimulus Pairs for Data Collection in Multidimensional Scaling -- Chapter 1.6 The Interface between the Types of Regression and Methods of Collecting Proximity Data -- Part 2. Preference Functions and Choice Behavior -- Chapter 2.1 Data Theory and Problems of Analysis -- Chapter 2.2 Recovering the Parameters of a Decision Model from Simulated Spatial Choice Data -- Chapter 2.3 A Revealed Preference Analysis of Intraurban Migration Choices -- Chapter 2.4 Data Problems and the Application of Conjoint Measurement to Recurrent Urban Travel -- Chapter 2.5 Applications of Functional Measurement to Problems in Spatial Decision Making -- Part 3. Special Problems -- Chapter 3.1 Some Remarks on Multidimensional Scaling in Geography -- Chapter 3.2 Comparing Objective and Cognitive Representations of Environmental Cues -- Chapter 3.3 Recovering the Dimensions through Multidimensional Scaling-Remarks on Two Problems -- Chapter 3.4 Issues in Data Collection and Reliability in Marketing Multidimensional Scaling Studies-Implications for Large Stimulus Sets -- Chapter 3.5 Suggestions for Identifying Sources of Unreliability in Multidimensional Scaling Analyses -- Index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- J -- K -- L -- M -- N -- O -- P -- Q -- R -- S -- T -- U -- V -- W -- Y -- Z.
Abstract:
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.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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