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| Timestamp | Segment | Core Take‑aways | |-----------|---------|-----------------| | | Opening & Motivation | “Why we need DASS‑431.” Global mental‑health burden, limitations of DASS‑42. | | 05:31–22:45 | Psychometric Foundations | Classical test theory vs. item‑response theory; factor analysis results (27 micro‑factors, eigenvalues). | | 22:46–38:12 | Data Collection Pipeline | Smartphone‑based administration, consent workflow, data encryption. | | 38:13–55:00 | RM Theory | Bayesian updating, derivation of the EIG criterion, simulation results (average 33 items per participant). | | 55:01–01:12:30 | Live Coding: Building the RM in Java | Step‑by‑step: data model → LASSO → posterior update loop. | | 01:12:31–01:27:45 | javhd UI Demo | Interactive factor heat‑map, item‑cloud navigation, export functions. | | 01:27:46–01:45:00 | Case Studies | (a) College‑student stress monitoring, (b) Post‑COVID‑19 workplace wellbeing, (c) Veteran PTSD screening. | | 01:45:01–01:58:51 | Future Roadmap & Q&A | Integration with wearables, federated learning across sites, open‑source roadmap. |