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compositeReliabilityInNestedDesigns
View on CRAN: Click
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Download and install compositeReliabilityInNestedDesigns package within the R console
Install from CRAN:
install.packages("compositeReliabilityInNestedDesigns")
Install from Github:
library("remotes")
install_github("cran/compositeReliabilityInNestedDesigns")
Install by package version:
library("remotes")
install_version("compositeReliabilityInNestedDesigns", "1.0.4")
Attach the package and use:
library("compositeReliabilityInNestedDesigns")
Maintained by
Joyce Moonen - van Loon
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All associated links for this package
10.32614/CRAN.package.compositeReliabilityInNestedDesigns . https://github.com/jmoonen/compositeReliabilityInNestedDesigns/issues . https://github.com/jmoonen/compositeReliabilityInNestedDesigns . compositeReliabilityInNestedDesigns results . compositeReliabilityInNestedDesigns.pdf . compositeReliabilityInNestedDesigns_1.0.4.tar.gz . compositeReliabilityInNestedDesigns_1.0.4.zip . compositeReliabilityInNestedDesigns_1.0.4.zip . compositeReliabilityInNestedDesigns_1.0.4.zip . compositeReliabilityInNestedDesigns_1.0.4.tgz . compositeReliabilityInNestedDesigns_1.0.4.tgz . compositeReliabilityInNestedDesigns_1.0.4.tgz . compositeReliabilityInNestedDesigns_1.0.4.tgz . https://CRAN.R-project.org/package=compositeReliabilityInNestedDesigns .
First Published: 2024-09-21
Latest Update: 2024-09-21
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 in nested design as is often the case for Workplace-Based Assessments. This package is designed to estimate composite reliability in nested designs using multivariate generalizability theory and enhance the analysis of assessment data. The package allows for the inclusion of weight per assessment type and produces extensive G- and D-study results with graphical interpretations, and options to find the set of weights that maximizes the composite reliability or minimizes the standard error of measurement (SEM).
How to cite:
Joyce Moonen - van Loon (2024). compositeReliabilityInNestedDesigns: Optimizing the Composite Reliability in Multivariate Nested Designs. R package version 1.0.4, https://cran.r-project.org/web/packages/compositeReliabilityInNestedDesigns. Accessed 29 Apr. 2025.
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