Data Theory and Dimensional Analysis

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William G. Jacoby - Michigan State University, USA, University of South Carolina, Colombia

Volume: 78

Series:
Quantitative Applications in the Social Sciences

Other Titles in:
Quantitative/Statistical Research (General)

April 1991 | 96 pages | SAGE Publications, Inc

Description
Contents

By examining some of the basic scaling questions, such as the importance of measurement levels, the kinds of variables needed for Likert or Guttman scales and when to use multidimensional scaling versus factor analysis, Jacoby introduces readers to the most appropriate scaling strategies for different research situations. He also explores data theory, the study of how real world observations can be transformed into something to be analyzed, in order to facilitate more effective use of scaling techniques.

Introduction

Measurement

Data Theory

Dimensionality

Data Theory and Scaling Methods

Alternating Least Squares, Optimal Scaling

Conclusions

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