Paper session 6: Methods to study temporal dynamics

Chair: Emmeke Aarts

 

Uncovering personalized latent dynamics in daily measurements utilizing the multilevel hidden Markov model: mHMMbayes

Presenter: Aarts

Continuous-Time Dynamic Systems for Formalizing Developmental Phenomena: Large-Scale Online Learning Data

Presenter: Driver

Skewness and staging: Does the floor effect induce bias in multilevel AR(1) models?

Presenter: Haqiqatkhah

A comprehensive comparison of measures for assessing profile similarity at specific time points

Presenter: Carlier

Unique Contributions of Dynamic Affect Indicators - Beyond Static Variability

Presenter: Koslowski

Latent Markov factor analysis as a statistical tool to explore withinperson variability in qualitative negative and positive emotional granularity

Presenter: Schmitt

 

For all abstracts, see the full program with abstracts.