How do I find the most informative case?

[Anders L Madsen]

The most informative case is the case which reduces the entropy of the target variable the most. The entropy may be interpreted as a measure of the degree of chaos in a probability distribution. Since a PHPP model contains a unique target variable, the most informative case is the case which reduces the entropy of the posterior distribution of the target variable the most.

The <ph -voicase> command computes a measure of how well a single case predicts the target variable. The measure computed by this command is referred to as the value-of-information score of the case. The higher the score, the better the case predicts the target  variable. Finding the most informative case is then a question of identifying the case with the highest value-of-information score.