compositeReliabilityInNestedDesigns
1.0.4Optimizing the Composite Reliability in Multivariate Nested Designs
Overview
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).
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- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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- Examples that run
- 86%
- Documented parameters
- 100%
- Return-value docs
- 100%
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Checks run against github.com/jmoonen/compositereliabilityinnesteddesigns on 2026-07-30.
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People & History
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 1.0.4Latest2026-03-10 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2024-09-21
- Total releases
- 1 / 2 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 2.10
- Bundled data
- 0.3 KB / 1 file
- Download size
- 10 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet