Dynamical Systems Analysis

Instructor(s):

  • Jonathan Butner, University of Utah
  • Brian Baucom, University of Utah

This workshop will be offered in an online video format.

Dynamic systems models provide a unique lens for studying change over time; the focus in these models is on patterns of fluctuations about the mean, the stability of these patterns, and how these patterns change under different conditions. Research focused on how individuals, families, groups, and communities grow and change over time is increasingly recognizing the vast potential of dynamic systems models for advancing understanding of complex temporal phenomena.

This four day short course includes a balance of didactic instruction in background material and guided practice in estimating and interpreting models.

Prerequisite: No previous experience with dynamical systems modeling is necessary, and no specialized statistical knowledge or training is needed beyond a basic understanding of linear regression.

Software: Course material will utilize SPSS and R software packages; code for conducting course examples in Stata and SAS will also be provided

Registration Fee: Members = $1,450; Non-members = $2,850

Tags: dynamic systems, complexity, time series

Course Sections

Section 1

Location: Online -- Video format,

Date(s): June 15 - June 18

Time: 9:00 AM - 5:00 PM

Instructor(s):

  • Jonathan Butner, University of Utah
  • Brian Baucom, University of Utah

Syllabus: