Longitudinal Data Analysis

8:30-9:30

Registration at the service desk in the ZiF

09:30-10:00                 

Opening ("Plenarsaal", Room 222)

10:00-11:00                 

Opportunities and challenges of intensive longitudinal data

Ellen Hamaker, Plenarsaal, Room 222, Chair: Jost Reinecke

11:15-12:45                 

Session A-1: Intensive Longitudinal Data/ Hidden Markov Models 

             ​Chair: Hein Leitgöb , Room: 222, "Plenarsaal"

Skewness and staging: Does the floor effect induce bias in multilevel AR(1) models (Haqiqatkhah, Mohammadhossein M.; Ryan, Oisin; Hamaker, Ellen)

Utilizing the multilevel hidden Markov model in social and behavioral data: the R CRAN package mHMMbayes and empirically based guidelines on sample size requirements (Aarts, Emmeke; Mildiner-Moraga, Sebastian)

A Bayesian multilevel hidden Markov model for intensive longitudinal ecological momentary assessment data of patients with bipolar disorder (Mildiner-Moraga, Sebastian; Bruggeman, Richard; van der Krieke, Lian; Snippe, Evelien; Aarts, Emmeke)

Session F-1: Cross-Lagged Panel Models

            Chair: Daniel Seddig, Room: 231 M, "Long Table"

Discrete-time multistate modeling for life course analysis (Dudel, Christian; Schneider, Daniel; Lorenti, Angelo; Myrskylä, Mikko)

Rehabiliating the Lagged Dependent Variable with Structural Equation Modelling (Andersen, Henrik K.; Mayerl, Jochen)

Power analysis for the random intercept cross-lagged panel using the powRICLPM R-package (Mulder, Jeroen)

The appearance and duration of media effects on citizens' emotional states during the German federal elections 2021 (Thomas, Fabian; Otto, Lukas P.; Maier, Michaela)

Ignoring Inter-Individual Differences in Autoregressive Effects Leads to Strongly Biased Average Effect Estimates (Jung, Alexander J.; Parrisius, Cora; Nagengast, Benjamin, Murayama, Kou)

12:45-13:30                 

Lunch Break (will take place in the ZiF)

13:30-14:30

Transformations of Continuous-Time Dynamic Models into Alternative Discrete-Time Models: Why, How, and Implications on Causality Inference

Sy-Miin Chow, Plenarsaal, Room 222, Chair: Manuel Voelkle

14:30-15:00                 

Coffee Break

15:00-16:30                 

Session A-2: Intensive Longitudinal Data and Hidden Markov Models II

             Chair: Ellen Hamaker, Room: 231 M, "Long Table"

Detecting hysteresis in psychological processes with the hysteric threshold auto-regressive (HysTAR) model (de Jong, Daan; Ryan, Oisin, Hamaker, Ellen L.)

How many are too many? Methods to enumerate underlying trajectories with mixture Hidden Markov Models and Sequence Analysis (Garnier-Villareal, Mauricio; Pavlopoulos, Dimitris)

Employment trajectories in the presence of measurement error. An application using Mixed Hidden Markov Models. (Pavlopoulos, Dimitris; Garnier-Villareal, Mauricio)

Session E-1: Continuous-Time Modeling I

             Chair: Han Oud, Room: 222, "Plenarsaal"

Latent Variable Forests: Estimating Latent Variable Scores From Conditionally Causal Models (Classe, Franz; Kern, Christoph)

Visualizing Heterogeneity and Stabilty of Structural Equation Model Trees for Longitudinal Data (Arnold, Manuel; Strobl, Carolin; Debelak, Rudolf; Voelkle, Manuel; Brandmaier, Andreas M.)

Continuous-time SEM trees and forests: A score-based approach (Cáncer, Pablo F.; Arnold, Manuel; Estrada, Eduardo; Voelkle, Manuel)

On Regularized Continuous and Discrete Time Structural Equation Models (Orzek, Jannik H.)            

16:30-18:00                 

Poster Session and Exhibition