ABSTRACT
Apart from the passing mention of a χ2 test and the discussion about significant clustering in Chapter 15, this book has concentrated exclusively on the geometric properties of CA and its interpretation. In this final chapter we give an overview of some approaches to investigating the stability of CA solutions and the sampling properties of statistics such as the total inertia, principal inertias and principal coordinates. We make the distinction between (i) stability of the solution, irrespective of the source of the data, (ii) sampling variability, assuming the data arise out of some form of random sampling from a wider population, and (iii) testing specific statistical hypotheses.
