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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.

License: CC-By Attribution 4.0 International

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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

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bayesianBernoulliBinary dataDeceptionDeception DetectionLMMMixed-effects ModelsProbitSDTSignal Detection TheoryVeracityVeracity Judgments

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