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Data Theory and Dimensional Analysis
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Data Theory and Dimensional Analysis

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


96 pages | SAGE Publications, Inc
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

William G. Jacoby

William G. Jacoby is a Professor in the Department of Political Science at Michigan State University. He is also a Research Scientist at the University of Michigan, where he serves as Director of the Inter-University Consortium for Political and Social Research (ICPSR) Summer Training Program in Quantitative Methods of Social Research.Professor Jacoby joined the MSU faculty in 2003. Previously, he held positions at the University of South Carolina, Ohio State University, and the University of Missouri. He received his Ph.D. from the University of North Carolina, Chapel Hill in 1983.Professor Jacoby's main professional interests are mass... More About Author

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