Description
Latent class analysis is a powerful tool for analysing the structure of relationships among categorically scored variables. It enables researchers to explore the suitability of combining two or more categorical variables into typologies or scales. It also provides a method for testing hypotheses regarding the latent structure among categorical variables. Research Interest: Donald O. Clifton Chair of Survey Science, and RSS & ASA Fellow Research Scientist, Gallup Research Center Survey Research and Methodology Graduate Program Introduction The Logic of Latent Variables Latent Class Analysis Estimating Latent Categorical Variables Analyzing Scale Response Patterns Comparing Latent Structures Among Groups Conclusions
