PDF version of the workshop program
Thursday, February 6 Henri Dunantlaan 1, Auditorium 5
Evaluating Multigroup Structural Equation Modeling with Exploratory Measurement Models
[abstract] [slides]
Stable Poststratification in PISA with the R Package brr
[abstract] [slides]
STARTistica: An R Package for Extended Outputs to Accompany Introductory Statistics Courses
[abstract] [slides]
Frequentism Errata - Why Sneak-Previews on Your Data and Stopping When Things Look Good Is Actually Not P-Hacking
[abstract] [slides]
Group photo and coffee break
Chair: Andries van der Ark
Automatically Derived Full Conditionals for Factored Regression Models with Missing Data and Latent Variables
[abstract] [slides]
latent: An Efficient and Complete R Package for Latent Variable Models
[abstract] [slides]
Evaluating the Efficacy of Mixture Multigroup Factor Analysis in Handling Non-Normal and Ordinal Data: A Simulation Study
[abstract] [slides]
Dinner at De Abt, Lange Kruisstraat 4
Friday, February 7 Henri Dunantlaan 1, Auditorium 5
Andres Felipe Perez Alonso
Mixture Multigroup Structural Equation Modeling to Compare Structural Relations across Many Groups
[abstract] [slides]
Mixture Multigroup Bayesian SEM with Approximate Measurement Invariance for Comparing Structural Relations across Many Groups
[abstract] [slides]
A lavaan Extension for Fast Pairwise Likelihood Estimation of Factor Models for Categorical Data
[abstract] [slides]
Extended Multiple-Imputation Methods for SEM in the R Package lavaan.mi
[abstract] [slides]
Posterior Estimators in Highly Dimensional Bayesian Penalised Regression: How Smooth Is Too Smooth?
[abstract] [slides]
Chair: Florian Wickelmaier
StructuralEquationModels.jl - An Extensible and Efficient Statistical Modeling Software
[abstract] [slides]
A Novel Predictive CAT Method for Screening Instruments
[abstract] [slides]
Predicting Adoption Choices Using Choice Probability Elicitation
[abstract] [slides]
Sample Size Determination in Optimal and Sub-Optimal Designs for Regression-Based Test Norming
[abstract] [slides]
Tracking Abilities with Accuracy and Response Times in Adaptive Learning Systems
[abstract] [slides]
Generalized Urnings Algorithm for Tracking Student and Item Parameters in Adaptive Learning Systems
[abstract]
Regression Models for [0, 1] Responses Using betareg and crch
[abstract] [slides]