6 citations · 6 across the 1 of their papers we have counts for
3 papers
Workflow Techniques for the Robust Use of Bayes Factors
Daniel J. Schad, Bruno Nicenboim, Paul-Christian Bürkner +2
Inferences about hypotheses are ubiquitous in the cognitive sciences. Bayes factors provide one general way to compare different hypotheses by their compatibility with the observed…
Toward a principled Bayesian workflow in cognitive science
Daniel J. Schad, Michael Betancourt, Shravan Vasishth
Experiments in research on memory, language, and in other areas of cognitive science are increasingly being analyzed using Bayesian methods. This has been facilitated by the develo…
How to capitalize on a priori contrasts in linear (mixed) models: A tutorial
Daniel J. Schad, Shravan Vasishth, Sven Hohenstein +1
Factorial experiments in research on memory, language, and in other areas are often analyzed using analysis of variance (ANOVA). However, for effects with more than one numerator d…