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>.
Package details |
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Author | Joshua Ray Tanzer |
Maintainer | Joshua Ray Tanzer <jtanzer@lifespan.org> |
License | MIT + file LICENSE |
Version | 0.1.2 |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
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