FAQ/NDcasestat - CBU statistics Wiki

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Which output criteria should I use when using the casewise statistics option with the Normal discriminant method in SPSS?

The discriminant procedure, which is optimal when the groups follow a Normal distribution, uses the Mahalanobis distance (d) as a summary measure of the difference both between the groups and within each group. The Mahalanobis distance can also be [:FAQ/mahal: used] as a means of identifying multivariate outliers.

There are two conditional probabilities outputted in tables using the casewise statistics option in SPSS. These are P(G=g conditional on D=d) and P(D>d conditional on G=g) for the predicted group with the former also outputted for the other groups. Here g represents the group of interest and d represents the outputted Mahalanobis distance from a group centre for a particular case.

In particular P(G=g conditional on D=d) is the posterior probability of a case falling in the predicted group (for which this probability is a maximum) based on that case's Mahalanobis distance. The Mahalanobis distance for a particular case represents how typical that case is with respect to other cases in the group, g. In particular it measures the standardised distance of a case from the centre of the group.

For a particular group, g, the P(G=g conditional on D=d) equals in SPSS

$$ \frac{\mbox{P(g) exp}(\mbox{-0.5 d(g)}text{2})}{\sum_text{groups} \mbox{P(group) } \mbox{exp}(\mbox{-0.5 d(group)}text{2})} $$

where d(g) is the Mahalanobis distance for the g-th group, P(g) is the proportion of cases who are in group g and exp() is the exponential function.

Further, since the Mahalanobis distance based on p predictors follows a chi-square distribution on p degrees of freedom if it is equal to zero, it follows the group typicality probability of observing a case from a particular group having a greater mahalanobis distance than the observed case is

P (D>d conditional on G=g) = 1 - $$\chi^text{2}(d(g),p)$$.

The interpretation of both of the above probabilities stems from the intuitive result that the further away a case is from a particular group centre (ie the more atypical it is with respect to a group) the less likely it is to be predicted to be in that group.