Latent variable models help understand hidden concepts like attitudes or abilities using observable data. This study introduces models for analyzing mixed types of data, like continuous and binary variables. They developed methods to score individuals based on their responses and handle missing data. The models were tested on various datasets, including surveys on memory and social attitudes.