Key-note speakers

Are all data small? – Daniel Oberski
Has THIS ever happened to YOU? You’re a researcher with a question, but don’t know what data would answer it? Or how much data?? “Mommy and daddy – am I a…
Read more
Mixture Models for Longitudinal Data with Small Samples – Daniel McNeish
Growth mixture models (GMMs) are a popular method to uncover latent subgroups with longitudinal data. Harnessing the power of GMMs in applications can be difficult given commonly encountered convergence difficulties…
Read more
Small Sample Size SEM – Albert Satorra
I will give an overview of my small sample size SEM experiences, elaborating their connection (both algebraic and in methods) with modern and old practices in statistics. I will discuss…
Read more
Missing data imputation for small datasets – Stef van Buuren
Only 13 out of 510 datasets in the Handbook of Small Data Sets have a code for missing values. It thus appears that missing data do not pose big problems…
Read more