To analyze the “scalability” of the observed response patterns for a set ofmdichotomous items, we introduce a model in which a given individual in the population is either “intrinsically scalable” or “intrinsically unscalable” (with respect to themitems), and there areddifferent types of “intrinsically scalable” individuals. With this model, using methods already developed for the study of quasi-independence in contingency tables, we show how to (a) test whether the model fits the observed data, (b) estimate the proportion of intrinsically scalable (and unscalable) individuals, and (c) estimate the distribution of the intrinsically scalable individuals among theddifferent scale types.