unifyR: Unified Scores, Reliabilities and Validities from Multiple Tests
In diagnostic contexts, individuals are often assessed using multiple
tests that measure the same latent variable (e.g., intelligence). These test scores
are typically not exactly identical. Simple averaging neglects the correlation
between tests and the reduced variance of their combination. The 'unifyR' package
provides functions to compute statistically accurate unified scores, reliabilities
and validities of multiple tests. The underlying algorithms build on and extend the
method proposed by Evans (1996, <doi:10.3758/BF03204767>) and have been validated
through simulations.
| Version: |
1.0.0 |
| Depends: |
R (≥ 4.2.0) |
| Published: |
2025-07-02 |
| DOI: |
10.32614/CRAN.package.unifyR |
| Author: |
Dominik Weber [aut, cre],
Marco Koch [aut],
Frank M. Spinath [aut],
Nicolas Becker [aut] |
| Maintainer: |
Dominik Weber <dominik.weber at uni-saarland.de> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| CRAN checks: |
unifyR results |
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