— Analysis of Intensive Longitudinal Data
This version has ended; see updated course, below. Course Description: Manipulation, organization, description, and modeling of intensive longitudinal data (ILD), which are repeated measures collected intensively from individuals within a relatively short period of time. Daily diary data, ecological momentary assessments, neuroimaging data, and physiological recordings.
Prerequisites & course information
This version has ended; see updated course, below. Course Description: Manipulation, organization, description, and modeling of intensive longitudinal data (ILD), which are repeated measures collected intensively from individuals within a relatively short period of time. Daily diary data, ecological momentary assessments, neuroimaging data, and physiological recordings. Learning Activities: Lecture 3 hour(s). Enrollment Restriction(s): Open to graduate students only. Grade Mode: Letter. HDE 208 — Analysis of Intensive Longitudinal Data (4 units) Course Description: Manipulation, organization, description, and modeling of intensive longitudinal data (ILD), which are repeated measures collected intensively from individuals within a relatively short period of time. Daily diary data, ecological momentary assessments, neuroimaging data, and physiological recordings. Prerequisite(s): PSC 204B ; or equivalent graduate courses in statistics; or consent of instructor; familiarity with multiple regression and the basics of matrix algebra; HDE 205 or PSC 205G strongly recommended. Learning Activities: Lecture 3 hour(s). Enrollment Restriction(s): Open to graduate students. Grade Mode: Letter. This course version is effective from, and including: Winter Quarter 2027. Learning Activities: Lecture 3 hour(s). Enrollment Restriction(s): Open to graduate students only. Grade Mode: Letter. HDE 208 — Analysis of Intensive Longitudinal Data (4 units) Course Description: Manipulation, organization, description, and modeling of intensive longitudinal data (ILD), which are repeated measures collected intensively from individuals within a relatively short period of time. Daily diary data, ecological momentary assessments, neuroimaging data, and physiological recordings. Prerequisite(s): PSC 204B ; or equivalent graduate courses in statistics; or consent of instructor; familiarity with multiple regression and the basics of matrix algebra; HDE 205 or PSC 205G strongly recommended. Learning Activities: Lecture 3 hour(s). Enrollment Restriction(s): Open to graduate students. Grade Mode: Letter. This course version is effective from, and including: Winter Quarter 2027.
Sources
- Course catalogue ↗2026-2027