brxx: Bayesian Test Reliability Estimation
When samples contain missing data, are small, or are suspected of bias,
estimation of scale reliability may not be trustworthy. A recommended solution
for this common problem has been Bayesian model estimation. Bayesian methods
rely on user specified information from historical data or researcher intuition
to more accurately estimate the parameters. This package provides a user friendly
interface for estimating test reliability. Here, reliability is modeled as a beta
distributed random variable with shape parameters alpha=true score variance and
beta=error variance (Tanzer & Harlow, 2020) <doi:10.1080/00273171.2020.1854082>.
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