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…
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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…
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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…
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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…
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