Level, Change, and Acceleration: Modeling Correlated Change in Longitudinal Data and Intensive Repeated Measures Design (Salt Lake City, UT)


  • Pascal Deboeck, University of Utah

An ever-increasing number of models are available for the modeling of repeated observations on the same individuals, families, and groups. While theories often express ideas about correlated changes between constructs, matching theories about growth and change to statistical models can be challenging. This workshop will introduce derivatives -- level, change, and acceleration. This framework will provide a basis for articulating theories of change, as well as a framework for understanding a wide variety of change models. A variety of foundational models for longitudinal data will be discussed using this framework. These more common models will then be used to build models for intensive repeated measures designs (e.g., diary data, ecological momentary assessments). This course will provide a conceptual understanding of topics using lecture, reference code through demonstrations, and hands-on practice with sample data.

The course will cover:

  • Software and Conceptual Foundations
  • Longitudinal/Panel Data
  • Intensive Repeated Measures

Software Requirements: Lectures and exercises will rely on R, so that course tools and code are available to all participants. A concise introduction to R included as part of the course.

Prerequisites: Prior experience with a graduate-level introductory statistics course (including regression models) and some exposure to longitudinal data is strongly recommended. It is not necessary to have prior exposure to R, SEM, or MLM, although participants with any exposure to one or more of these topics can expect to take more from the course. Introductions to core concepts in R, SEM, and MLM are included as part of the course, but not in sufficient depth to constitute a good background in these topics.

Fee: Members = $1700; Non-members = $3200

Tags: Longitudinal Data Analysis, Multilevel Modeling, Structural Equation Modeling, Modeling Change, Derivatives, Intensive Longitudinal Designs, Diary Data, Ecological Momentary Assessments

Course Sections

Section 1

Location: University of Utah -- Salt Lake City, Utah

Date(s): June 24 - June 28

Time: 9:00 AM - 5:00 PM


  • Pascal Deboeck, University of Utah