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cff-version: 1.2.0
message: 'To cite package "compositeReliabilityInNestedDesigns" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'compositeReliabilityInNestedDesigns: Optimizing the Composite Reliability
  in Multivariate Nested Designs'
version: 1.0.4.9000
doi: 10.32614/CRAN.package.compositeReliabilityInNestedDesigns
abstract: 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).
authors:
- family-names: Loon
  given-names: Joyce
  name-particle: Moonen - van
  email: j.moonen@maastrichtuniversity.nl
  orcid: https://orcid.org/0000-0002-8883-8822
repository: https://jmoonen.r-universe.dev
repository-code: https://github.com/jmoonen/compositeReliabilityInNestedDesigns
commit: f71161dd95d5e535ada18ea7acaed735d14db0cf
url: https://github.com/jmoonen/compositeReliabilityInNestedDesigns
contact:
- family-names: Loon
  given-names: Joyce
  name-particle: Moonen - van
  email: j.moonen@maastrichtuniversity.nl
  orcid: https://orcid.org/0000-0002-8883-8822