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. 2021 Oct 20;12:661022. doi: 10.3389/fpsyg.2021.661022

Figure 10.

Figure 10

The prior distribution of the precision parameter for models of individual differences. The left side shows the prior density on the precision parameter, phi. The variance of a beta distribution is a product of its mean and phi. The right side shows the histograms of simulated data assuming varying means and precisions (the latter of which span the range of plausible values encoded by the prior distribution). Columns represent different values of the mean, and rows represent different phis. As can be seen, this prior is consistent with data of varying spreads.