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.
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
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.
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?
Development and Evaluation of a Digital Expert Elicitation Method
The paper describes an elicitation procedure which opens up many opportunities to investigate tacit differences between “subjective” teacher judgments and “objective” data such as test results and to raise the diagnostic competence of teachers.
Manipulating the alpha level cannot cure significance testing
We argue that depending on p-values to reject null hypotheses, including a recent call for changing the canonical alpha level for statistical significance from .05 to .005, is deleterious for the finding of new discoveries and the progress of cumulative science.
Bayes with Informed Priors Based on Literature and Expert Elicitation
Bayesian Trajectory Analysis with Informed Priors Based on a Systematic Literature Search and Expert Elicitation in the field of Post Traumatic Stress.
Applying guidelines to construct informative priors in small sample research
The current paper demonstrates the usefulness of Bayesian estimation with small samples. In Bayesian estimation, prior information can be included …