Main content
SDT Probit Models for Deception Research - R
Date created: | Last Updated:
: DOI | ARK
Creating DOI. Please wait...
Category: Project
Description: An R script for analysing veracity data (truth/lies) using a Bayesian generalized linear model with a Bernoulli probability distribution and a probit link function, aka. a Probit mixed-effects model, aka. a Signal Detection Theory (SDT) model. The script provides information on running the model, assessing convergence, conducting "post hoc" comparisons, and assessing model fit (and selecting the "best" model). Note, this is a work-in-progress, and the script will be updated as knowledge around the topic improves.
For more details on the methods proposed in the script and a theoretical explanation of its utility, see the accompanying conference presentation https://doi.org/10.13140/RG.2.2.24441.13926
Files
Files can now be accessed and managed under the Files tab.
Citation
Recent Activity
Unable to retrieve logs at this time. Please refresh the page or contact support@osf.io if the problem persists.