This module provides the theoretical foundations and applied advice for models for multivariate data  models where there are multiple dependent variables. There are two broad classes of models covered here.

Multivariate statistical routines  those that model the structure in observed dependent variables with observed independent variables

Models of the structure in observed dependent variables with unobserved (i.e., latent) independent variables.
The outline for the course is below.
1 Summated Rating Model, Principal Components, Factor Analysis
2 Spatial Theories, Analyzing Issue Scales
3 Multidimensional Scaling (similarities data)
 Slides pdf
 Code r
 Inclass Exercises Code r
 Data zip
 Comparison of Scaling Outcomes pdf
 BSMDS Source Code tar.gz
 To use the bsmds package, you’ll have to install it from source. This means  download the package, reset R’s working directory to the location of the file you downloaded, then do:
install.packages("bsmds_0.12.tar.gz", type="source", repos=NULL)
4 Unfolding of Ratings Scale Data
5 Parametric Methods for Binary Data
6 Nonparametric Methods for Binary Data
 Slides pdf
 Code r
 Inclass Exercises Code r
 WVS Data .rda
 European Court for Human Rights Data .rda
 2004 Feeling Thermometers Data .rda