Latent class analysis

Latent class analysis (LCA) is a statistical method used to identify hidden groups within a larger population based on patterns in their responses or behaviors. Imagine you have a mix of different types of individuals, but you can't easily see those differences just by looking. LCA helps uncover these underlying "classes" or categories, which might represent distinct preferences or characteristics. By analyzing the data, researchers can determine which factors influence group membership, leading to a better understanding of the population's diversity and enabling more tailored approaches in areas like marketing, healthcare, or social sciences.