  Discrete ordinal responses such as Likert scales are regularly proposed in
questionnaires and used as dependent variable in modeling. The response
distribution for such scales is always discrete, with bounded support and often
skewed. In addition, one particular level of the scale is frequently inflated
as it cumulates respondents who invariably choose that particular level
(typically the middle or one extreme of the scale) without hesitation with
those who chose that alternative but might have selected a neighboring one. The
inflated discrete beta regression (IDBR) model addresses those four critical
characteristics that have never been taken into account simultaneously by
existing models. The mean and the dispersion of rates are jointly regressed on
covariates using an underlying beta distribution. The probability that choosers
of the inflated level invariably make that choice is also regressed on
covariates. Simulation studies used to evaluate the statistical properties of
the IDBR model suggest that it produces more precise predictions than competing
models. The ability to jointly model the location and dispersion of (the
distribution of) an ordinal response, as well as to characterize the profile of
subject selecting an "inflated" alternative are the most relevant features of
the IDBR model. It is illustrated with the analysis of the political
positioning on a "left-right" scale of the Belgian respondents in the 2012
European Social Survey.
