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  "Title": "Bayesian Test Reliability Estimation",
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  "Description": "When samples contain missing data, are small, or are\nsuspected of bias, estimation of scale reliability may not be\ntrustworthy.  A recommended solution for this common problem\nhas been Bayesian model estimation.  Bayesian methods rely on\nuser specified information from historical data or researcher\nintuition to more accurately estimate the parameters.  This\npackage provides a user friendly interface for estimating test\nreliability.  Here, reliability is modeled as a beta\ndistributed random variable with shape parameters alpha=true\nscore variance and beta=error variance (Tanzer & Harlow, 2020)\n<doi:10.1080/00273171.2020.1854082>.",
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