— Longitudinal Data Analysis

Prerequisites & course information

This version has ended; see updated course, below. Course Description: Introduction to longitudinal data manipulation, organization, description, and modeling in the multilevel modeling and structural equation modeling frameworks. Learning Activities: Lecture 3 hour(s), Term Paper. Enrollment Restriction(s): Open to graduate students only. Grade Mode: Letter. HDE 205 — Longitudinal Data Analysis (4 units) Course Description: Introduction to longitudinal data manipulation, organization, description, and modeling in the multilevel modeling and structural equation modeling frameworks. Prerequisite(s): PSC 204B ; or equivalent graduate courses in statistics or consent of instructor; familiarity with multiple regression and the basics of matrix algebra. Learning Activities: Lecture 3 hour(s), Term Paper. 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), Term Paper. Enrollment Restriction(s): Open to graduate students only. Grade Mode: Letter. HDE 205 — Longitudinal Data Analysis (4 units) Course Description: Introduction to longitudinal data manipulation, organization, description, and modeling in the multilevel modeling and structural equation modeling frameworks. Prerequisite(s): PSC 204B ; or equivalent graduate courses in statistics or consent of instructor; familiarity with multiple regression and the basics of matrix algebra. Learning Activities: Lecture 3 hour(s), Term Paper. Enrollment Restriction(s): Open to graduate students. Grade Mode: Letter. This course version is effective from, and including: Winter Quarter 2027.