ABSTRACT

In the previous chapters the evaluation of informative hypotheses in the context of the univariate and multivariate normal linear model was elaborated. In this chapter the application of informative hypotheses is discussed and illustrated in the context of contingency tables, multilevel models, and latent class analysis. Furthermore, a general framework for

Informative and Social

TABLE 7.1: A Hypothetical Contingency Table (Entries are Number of Persons)

Age Attitude 1:“<25” 2:“25-67” 3:“>67”

1:Left-Wing 32 45 15 2:Right-Wing 17 55 11

the evaluation of informative hypotheses is provided. For each context the following topics are discussed:

• Using a concrete example (thus sacrificing some generality but keeping matters rather accessible), the statistical model at hand is introduced. Because informative hypotheses are constructed via constraints on the parameters of a statistical model (in the context of the univariate normal linear model, these were means and regression coefficients), there will be explicit attention for the meaning and interpretation of these parameters.