Multiple-Indicator, Multiple-Cause Models for a Single Latent Variable with Ordinal Indicators

Abstract

A MIMIC model is developed that contains a one-dimensional latent variable measured by ordinal indicators. The latent variable can be either discrete and ordered or continuous. Parameters for both the measurement and structural components of the model are estimated simultaneously using the EM algorithm. An example of a sociological application is presented.