Latent class analysis (LCA) for identifying LdE-e adoption profiles

This dataset contains the source code and methodological documentation for performing a Latent Class Analysis (LCA) to identify hidden subgroups (latent classes) within building renovation adoption profiles. The analysis uses 11 manifest variables related to preferences and priorities. The dataset includes scripts for model selection (comparing 2 to 5 classes) based on Bayesian Information Criterion (BIC) and Normalized Entropy, as well as the calculation of rescaled utilities (zero-centered differences) to characterize each identified class.