The two-day course provides an overview of multilevel models for longitudinal data that stem from classical longitudinal designs (with a small number of measurement occasions per person) and from intensive longitudinal designs (ecological momentary assessment, diary methods, ambulatory assessment). Multilevel models of within-person variability and multilevel models of within-person change will be introduced. It will be shown how to analyze these models using R (lme4 package) and how to interpret the results. The course will combine short lectures, live R demonstrations, which participants can follow along, and practical exercises. Topics covered include:

• Introduction to classes of models of within‐person variability and change
• Multilevel models of within‐person variability
• Multilevel growth curve models
• Multilevel models of discontinuous change
• Multilevel models for a small number of fixed occasions
• Issues relevant to all model types such as centering of predictor variables, significance testing, standardized effect sizes, and power analysis

Participants should have a solid understanding of standard multiple regression analysis and basic experience with R (R Studio).

Instructor: Tanja Lischetzke

Format: Live, in-person 2-day seminar

Language: English

Date: March 19-20, 2024 (Day 1: March 19th from 10:00 to 18:00, Day 2: March 20th from 09:00 to 17:00)

Location: RPTU in Landau, Fortstr., 7, 76829 Landau, Germany, Room CIII 140

Course fee: 350 EUR (includes course, course materials, coffee/tea during coffee breaks)

Register: Send an email to methodenzentrum-sekretariat[at]rptu.de