Sanne Smid
Gegenereerd op 2018-08-20 01:08:10


Sanne is a PhD student at the Methodology & Statistics department at Utrecht University. Her research focuses on the use of informative priors in latent growth models with small sample sizes. She is interested in how prior knowledge can be used to compensate for small sample sizes. Her goal is to develop clear guidelines for researchers who use structural equation models and suffer from small data. At this moment, she is working on a systematic review to investigate the performance of Bayesian estimation in comparison to Maximum Likelihood estimation for structural equation models when the sample size is small.

In 2012, Sanne received her BSc. in Interdisciplinary Social Sciences and in 2014 her MSc. in Methodology and Statistics of Behavioral and Social Sciences at Utrecht University. Before starting as a PhD student, she worked for 1.5 years as a lecturer at the Methodology & Statistics department, where she taught various courses from bachelor to postgraduate level, and assisted in several research projects.

Supervisors PhD-project: Dr. Rens van de Schoot and Prof. Dr. Herbert Hoijtink

Gegenereerd op 2018-08-20 01:08:10
All publications
  2017 - Scholarly publications
Smid, S.C. (25.09.2017 25.11.2017) Visiting researcher UC Merced Host: Dr Sarah Depaoli
  2017 - Other output
Smid, S.C., Mc Neish, Daniel & van de Schoot, Rens (2017). Bayesian structural equation models with small samples. Part of the symposium entitled, “What the Dutch can do with prior information” at the 2017 Modern Modeling Methods (M3) Conference, Storrs, CT, USA.
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Gegenereerd op 2018-08-20 01:08:10
Additional functions and activities

Member PhD Council Faculty of Social Sciences - Methodology & Statistics Representative

Gegenereerd op 2018-08-20 01:08:10
Full name
S.C. Smid Contact details
Sjoerd Groenmangebouw

Padualaan 14
Room C1.08
The Netherlands

Phone number (direct) +31 30 253 4547
Phone number (department) +31 30 253 4438
Gegenereerd op 2018-08-20 01:08:10
Last updated 13.02.2018