4 citations · 4 across the 2 of their papers we have counts for
3 papers
stat.CO2018
Computing Bayes factors to measure evidence from experiments: An extension of the BIC approximation
Thomas J. Faulkenberry
Bayesian inference affords scientists with powerful tools for testing hypotheses. One of these tools is the Bayes factor, which indexes the extent to which support for one hypothes…
stat.AP2017
A hierarchical Bayesian model for measuring individual-level and group-level numerical representations
Thomas J. Faulkenberry
A popular method for indexing numerical representations is to compute an individual estimate of a response time effect, such as the SNARC effect or the numerical distance effect. C…
stat.ME2017★ 4 cited
Approximating Bayes factors from minimal ANOVA summaries: An extension of the BIC method
Thomas J. Faulkenberry
In this paper, I extend a method of Masson (2011) to develop an easy-to-use formula for performing Bayesian hypothesis tests from minimal ANOVA summaries.