  A series of monte carlo studies were performed to assess the extent to which
different inference procedures robustly output reasonable belief values in the
context of increasing levels of judgmental imprecision. It was found that, when
compared to an equal-weights linear model, the Bayesian procedures are more
likely to deduce strong support for a hypothesis. But, the Bayesian procedures
are also more likely to strongly support the wrong hypothesis. Bayesian
techniques are more powerful, but are also more error prone.
