Teacher knows best?
In this dissertation, we focused on two alternative approaches to evaluate the hypothesis of interest more directly, i.e. informative hypothesis testing and model selection using order-restricted information criteria.
Alternative Information: Bayesian Statistics, Expert Elicitation and Information Theory
In this dissertation, we focused on two alternative approaches to evaluate the hypothesis of interest more directly, i.e. informative hypothesis testing and model selection using order-restricted information criteria.
Bayesian versus Frequentist Estimation for SEM: A Systematic Review
The Performance of Maximum Likelihood and Bayesian Estimation With Small and Unbalanced Samples in a Latent Growth Model is compared in a simulation study
Small Sample Size Solutions: A Guide for Applied Researchers and Practitioners.
This unique resource provides guidelines and tools for implementing solutions to issues that arise in small sample research, illustrating statistical methods that allow researchers to apply the optimal statistical model for their research question when the sample is too small.
Mothers’ emotions after pediatric burn injury: Longitudinal associations with posttraumatic stress and depressive symptoms 18 months postburn
This study suggests that mothers’ acute self-conscious and long-term basic emotions in relation to their child’s burn injury are involved in the development of posttraumatic stress and depressive symptoms.
Dealing with imperfect elicitation results
We provide an overview of the solutions we used for dealing with imperfect elicitation results, so that others can benefit from our experience. We present information about the nature of our project, the reasons for the imperfect results, and how we resolved these sup-ported by annotated R-syntax
Predicting a Distal Outcome Variable From a Latent Growth Model
The aim of the current simulation study is to examine the performance of an LGM with a continuous distal outcome under maximum likelihood (ML) and Bayesian estimation with default and informative priors, under varying sample sizes, effect sizes and slope variance values.
Invariance analyses in large-scale studies
This report sets out to identify and apply novel procedures to evaluate model fit across a large number of groups, or novel scaling models that are more likely to pass common model fit criteria.
Choice of Distance Measure Influences the Detection of Prior-Data Conflict
The present paper contrasts two related criteria for the evaluation of prior-data conflict: the Data Agreement Criterion (DAC; Bousquet, 2008) and the criterion of Nott et al. (2016). We investigated how the choice of a specific distance measure influences the detection of prior-data conflict.
Wie weet het beter, de docent of de centrale eindtoets?
In 2015 werd het docentadvies leidend bij de plaatsing van leerlingen in het voortgezet onderwijs. De invoering van deze maatregel is nog altijd omstreden, getuige vurige discussies onder wetenschappers en in de media. De prangende vraag is: wie weet het beter, de docent of de Centrale eindtoets?
Family scars after pediatric burns
In this dissertation, we focused on two alternative approaches to evaluate the hypothesis of interest more directly, i.e. informative hypothesis testing and model selection using order-restricted information criteria.
Making eye movements during imaginal exposure leads to short-lived memory effects compared to imaginal exposure alone
At intervention start, making EM during imaginal exposure prevents memory inflation. Imaginal exposure with or without EM causes immediate and 24 h memory deflation. Imaginal exposure + EM leads to short-lived effects compared to imaginal exposure. Change patterns were hardly explained by predictive variables.