CompositeReliability: Determine the Composite Reliability of a Naturalistic, Unbalanced Dataset (original) (raw)
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.
| Version: | 1.0.3 |
|---|---|
| Depends: | R (≥ 2.10) |
| Imports: | dplyr, ggplot2, lme4, magrittr, plyr, psych, reshape2, tidyr, Rsolnp |
| Published: | 2023-08-21 |
| DOI: | 10.32614/CRAN.package.CompositeReliability |
| Author: | Joyce Moonen - van Loon [aut, cre] |
| Maintainer: | Joyce Moonen - van Loon <j.moonen at maastrichtuniversity.nl> |
| BugReports: | https://github.com/jmoonen/CompositeReliability/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/jmoonen/CompositeReliability |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | CompositeReliability results |
Documentation:
Downloads:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=CompositeReliabilityto link to this page.