Profiling cancer-related needs and the role of physical, practical and psychological difficulties: A latent class analysis approach.

Using Clustering Methods to Detect the Revealed Preferences of Moroccans towards the Electric Vehicles: Latent Class Analysis (LCA) and K-Modes Algorithm (K-MA)

“…These four classes are as follows: excellent competency groups, lack of professionalism competency group, individual competency-driven group, and lack of competency cognitive group. In addition, Rossi et al [14] performed LCA to investigate the association between psychological discomfort and cancer-related complications. College administrators can use LCA to identify new freshmen with a pluralistic attitude and use that information in program design and targeted interventions focused on diversity issues, according to research by Denson et al [15].…”