Combining machine learning with mixed effects models

Chair(s): Björn S. Siepe

Presentations of the Symposium

Moderator selection in meta-analysis using lasso and elastic net regularization

Katrin Jansen, Steffen Nestler

Tree-based methods for multilevel data: The influence of predictor levels on variable selection and prediction

Linus Hany, Mirka Henninger

Are Bayesian regularization methods a must for dynamic latent variable models?

Vivato V. Andriamiarana, Pascal Kilian, Holger Brandt, Augustin Kelava

Mixed effects LSTMs: Long short-term memory neural networks for hierarchical data

Anton Ernst, Daniel W. Heck, Björn S. Siepe

Towards a Clearer Understanding of Causal Estimands: The Importance of Joint Effects in Longitudinal Designs with Time-Varying Treatments

Lukas Junker, Ramona Schödel, Florian Pargent

Estimating Causal Effects of Time-Varying Treatments in Latent State-Trait Models for Intensive Longitudinal Data

Fabian Felix Münch, Jana Holtmann, Tobias Koch

A powerful arsenal of theory-building tools, or just hopelessly lost in 'modeling'? A look at structural equation models from a perspective of scientific logic.

Andreas Klein

A Comparison of Different Approaches for Estimating Study-Level Moderation Effects in Meta-Analytic Structural Equation Modeling

Julian F. Lohmann, Oliver Lüdtke, Alexander Robitzsch

MetaEGM - Combining Evidence Gap Maps and Meta-Analysis

Julian Gregor Scherhag, Michael Bosnjak

Prediction Intervals for Meta-Analysis using Combined P-value Functions

David Kronthaler, Leonhard Held

Reliability Multiverse Analyses: Chances & Challenges

Mario Reutter

When Preferences Matter: The Impact of Rating Scale Preferences on Survey Responses and Measurement Quality

Tanja Kutscher, Michael Eid

Theoretical and Empirical Evidence For High Data Quality With Visual Analogue Scales

Tim Angelike, Frederik Funke, Ulf-Dietrich Reips

Detecting Response Styles in Slider Scales

Dominik Vollbracht, Mirka Henninger, Tanja Lischetzke

Measuring Ambivalence of Affective Normative Words Using Dual Range Sliders

Matthias Kloft

Versatility in the Application of Bayesian Statistics

Chair(s): Tina Braun

Presentations of the Symposium

Designing for Power: Managing Sample Size Amid Effect Size Uncertainty

Robert Miller, Timo von Oertzen

Using Flat Priors as a Simple Mean to Conduct Bayesian Multilevel Analysis

Tina Braun, Timo von Oertzen

Reading Emotions from the Real World: Embeddings over Categories

Hannes Diemerling, Patricia Kulla, Joachim Kruse

Why We Should Abandon Tests with Reduced Dimensionality, Even if They are Bayesian

Timo von Oertzen

MAGMA – A multi-group matching algorithm and a framework to evaluate balance

Julian Urban, Markus Daniel Feuchter, Franzis Preckel

Doubly Protective or Doubly Fragile? A Comparison of Doubly Robust Approaches for Estimating Average Treatment Effects

Jingyu Zhang, Oliver Lüdtke, Alexander Robitzsch

Targeted Maximum Likelihood Estimation for Causal Inference with Observational Data - The Example of Private Tutoring

Christoph Jindra, Karoline A. Sachse

Prediction is All You Need to Demand Open and Transparent Science

Aaron Peikert

Must have my walking stick 'cause it may rain: Exploring and exploiting rating scale restrictions via Bernoulli-formalization

Jens Hendrik Fünderich

Simulation studies for methodological research: Status quo, problems, and potential solutions

Björn S. Siepe, František Bartoš, Samuel Pawel

Sequential Designs for Efficient Replications: A Systematic Evaluation

Dennis Kondzic, Robert Miller, Steffi Pohl

A Brief History of Circumplex Models (and a Look Ahead)

Julian M. Etzel

Measurement Invariance of the Strengths and Difficulties Questionnaire (SDQ) Across Age in a German Representative Sample: An Application of Confirmatory Factor Analysis Using k-fold Cross-Validation

Claudia Lazarides, Claudia Niessner, Simon Kolb, Jannik H. Orzek, Alexander Woll, Stephen G. West, Manuel C. Voelkle

CFA measurement invariance analysis methodology in an analysis of the Big Five Inventory 2

Nils Petras