Network Psychometrics: Longitudinal Data Modeling (classroom and Practical Training)

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

This workshop will focus on longitudinal data modeling in the context of network psychometrics. The material will move the focus from cross-sectional data sets to data sets of one or more people measured repeatedly over time and provide the necessary skills to independently estimate network models from longitudinal data.

Minimum Entry Requirement

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.