This poster presents the National College Health Assessment (NCHA) as an accessible, large-scale dataset for counseling research and shows how latent class analysis (LCA) can be applied to mental health disparity study. Based on the data (analytic N = 93,274), it illustrates the LCA process and visual outputs (e.g., model comparison tables, classification plots). Attendees will gain practical insights into LCA decision-making for uncovering subgroup heterogeneity in counseling-relevant data.
