Other packages > Find by keyword >

compositeReliabilityInNestedDesigns  

Optimizing the Composite Reliability in Multivariate Nested Designs
View on CRAN: Click here


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
[Scholar Profile | Author Map]
All associated links for this package
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 12 Sep. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited compositeReliabilityInNestedDesigns R package
View compositeReliabilityInNestedDesigns citation profile
Other R packages that compositeReliabilityInNestedDesigns depends, imports, suggests or enhances
Complete documentation for compositeReliabilityInNestedDesigns
Functions, R codes and Examples using the compositeReliabilityInNestedDesigns R package
Full compositeReliabilityInNestedDesigns package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

mixl  
Simulated Maximum Likelihood Estimation of Mixed Logit Models for Large Datasets
Specification and estimation of multinomial logit models. Large datasets and complex models are su ...
Download / Learn more Package Citations See dependency  
unikn  
Graphical Elements of the University of Konstanz's Corporate Design
Define and use graphical elements of corporate design manuals in R. The 'unikn' package provides col ...
Download / Learn more Package Citations See dependency  
electionsBR  
R Functions to Download and Clean Brazilian Electoral Data
Offers a set of functions to easily download and clean Brazilian electoral data from the Superior E ...
Download / Learn more Package Citations See dependency  
NScluster  
Simulation and Estimation of the Neyman-Scott Type Spatial Cluster Models
Simulation and estimation for Neyman-Scott spatial cluster point process models and their extension ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
qdapTools  
Tools for the 'qdap' Package
A collection of tools associated with the 'qdap' package that may be useful outside of the context ...
Download / Learn more Package Citations See dependency  

28,480

R Packages

239,283

Dependencies

75,677

Author Associations

28,481

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA