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CompositeReliability  

Determine the Composite Reliability of a Naturalistic, Unbalanced Dataset
View on CRAN: Click here


Download and install CompositeReliability package within the R console
Install from CRAN:
install.packages("CompositeReliability")

Install from Github:
library("remotes")
install_github("cran/CompositeReliability")

Install by package version:
library("remotes")
install_version("CompositeReliability", "1.0.3")



Attach the package and use:
library("CompositeReliability")
Maintained by
Joyce Moonen - van Loon
[Scholar Profile | Author Map]
First Published: 2023-07-21
Latest Update: 2023-08-21
Description:
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.
How to cite:
Joyce Moonen - van Loon (2023). CompositeReliability: Determine the Composite Reliability of a Naturalistic, Unbalanced Dataset. R package version 1.0.3, https://cran.r-project.org/web/packages/CompositeReliability. Accessed 04 Apr. 2025.
Previous versions and publish date:
1.0.2 (2023-07-21 12:32)
Other packages that cited CompositeReliability R package
View CompositeReliability citation profile
Other R packages that CompositeReliability depends, imports, suggests or enhances
Complete documentation for CompositeReliability
Functions, R codes and Examples using the CompositeReliability R package
Full CompositeReliability package functions and examples
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