Network Psychometrics: Longitudinal Data Modeling (Classroom and Practical Training)
About This Course
After completing this workshop, attendees will be able to:
- Understand when to use single measurement, panel, and intensive time-series data
- Explain the difference between within-subject effects and between-subject effects
- Estimate vector-autoregression models from longitudinal data
- Critically assess the interpretation from longitudinal data analyses
- Understand the basics of multi-level analysis
- Estimate personalized network models from single subject time-series
- Estimate multi-level network models from time-series data of multiple participants
- Estimate network models from panel data
- Incorporate latent variable and measurement errors in (longitudinal) network models
What You'll Learn
Entry Requirements
There are no formal entry requirements. It would be beneficial if
participants had some familiarity with R. However, even participants
unfamiliar with this statistical software will be able to effectively
participate in the course, as we will dedicate time to learn the basics of
programming in R.