Abstract
The latent class analysis was first developed as a method to formalate latent concept which dominates manifest behavior in the field of social science. In the ordinary latent class analysis the data of binary responses of all items are treated, and a group of subjects is divided into some latent classes. We propose a latent class analysis of the item selection data that are obtained when an answerer selects the definite number of items. We consider two types of selection style, permutation and combination of items. An estimation method of latent parameters is presented and numerical experiments are done.
