Growth mixture model

A statistical method that identifies unobserved subpopulations (latent classes) within a dataset based on distinct patterns of change over time. In accessibility research, growth mixture models can reveal that a seemingly homogeneous user group actually contains distinct subpopulations with different usage trajectories, allowing researchers to identify what factors (cognitive abilities, prior experience, usability perceptions) differentiate successful technology adopters from those who disengage.