CompositeReliability: Determine the Composite Reliability of a Naturalistic, Unbalanced Dataset

The reliability of assessment tools is a crucial aspect of monitoring student performance in various educational settings. It ensures that the assessment outcomes accurately reflect a student's true level of performance. However, when assessments are combined, determining composite reliability can be challenging, especially for naturalistic and unbalanced datasets. This package provides an easy-to-use solution for calculating composite reliability for different assessment types. It allows for the inclusion of weight per assessment type and produces extensive G- and D-study results with graphical interpretations. Overall, our approach enhances the reliability of composite assessments, making it suitable for various education contexts.

Getting started

Package details

AuthorJoyce Moonen - van Loon [aut, cre] (<https://orcid.org/0000-0002-8883-8822>)
MaintainerJoyce Moonen - van Loon <j.moonen@maastrichtuniversity.nl>
LicenseGPL (>= 3)
Version1.0.3
URL https://github.com/jmoonen/CompositeReliability
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("CompositeReliability")

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CompositeReliability documentation built on Aug. 21, 2023, 5:08 p.m.