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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 |
Reference manual: | CompositeReliability.pdf |
Package source: | CompositeReliability_1.0.3.tar.gz |
Windows binaries: | r-devel: CompositeReliability_1.0.3.zip, r-release: CompositeReliability_1.0.3.zip, r-oldrel: CompositeReliability_1.0.3.zip |
macOS binaries: | r-release (arm64): CompositeReliability_1.0.3.tgz, r-oldrel (arm64): CompositeReliability_1.0.3.tgz, r-release (x86_64): CompositeReliability_1.0.3.tgz, r-oldrel (x86_64): CompositeReliability_1.0.3.tgz |
Old sources: | CompositeReliability archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.