Chapter 3 Principal Components Analysis With Nonlinear Optimal Scaling Transformations for Ordinal and Nominal Data

@inproceedings{Meulman2005Chapter3P,
  title={Chapter 3 Principal Components Analysis With Nonlinear Optimal Scaling Transformations for Ordinal and Nominal Data},
  author={Jacqueline J. Meulman and Anita J. van der Kooij and Willem J. Heiser},
  year={2005}
}
This chapter focuses on the analysis of ordinal and nominal multivariate data, using a special variety of principal components analysis that includes nonlinear optimal scaling transformation of the variables. Since the early 1930s, classical statistical methods have been adapted in various ways to suit the particular characteristics of social and behavioral science research. Research in these areas often results in data that are nonnumerical, with measurements recorded on scales having an… CONTINUE READING