A simple technique useful in iterative model-building is described. In this a statistical analysis is applied to the estimated parameters rather than to the observations directly. This mode of procedure pinpoints the source and nature of possible inadequacies and these, interacting with the experimenter's special knowledge of the problem, can suggest what modifications are necessary for improvement. The cycle may be repeated till an adequate model, which should of course be checked by additional critical experiments, is found.