csemTools: Conditional Standard Error of Measurement Tools for Test Scores
Compute and compare conditional
standard errors of measurement (CSEM) across score distributions
using methods from classical test theory. Includes approaches for
smoothing, bootstrapped CSEM, standardized CSEM, CSEM for scale scores,
and assessment of properties of split-half scores. Also supports
comparison with global standard errors derived from reliability
coefficients and graphical visualization of CSEM curves and
relative precision across observed score ranges. Some of these implemented
methods are based on work by
Lord (1955) <doi:10.1002/j.2333-8504.1955.tb00054.x>,
Feldt and Qualls (1996) <doi:10.1111/j.1745-3984.1996.tb00486.x>,
McNeish and Dumas (2025) <doi:10.3758/s13428-025-02611-8>.
| Version: |
0.1.4 |
| Imports: |
boot, ggplot2, pbapply, rlang |
| Suggests: |
EFA.dimensions, psych, psychTools, MBESS, kSamples, scam, zoo, testthat (≥ 3.0.0) |
| Published: |
2026-07-29 |
| DOI: |
10.32614/CRAN.package.csemTools (may not be active yet) |
| Author: |
Cesar Merino-Soto [aut, cre] |
| Maintainer: |
Cesar Merino-Soto <sikayax at yahoo.com.ar> |
| BugReports: |
https://github.com/cmerinos/csemTools/issues |
| License: |
GPL-3 |
| URL: |
https://github.com/cmerinos/csemTools |
| NeedsCompilation: |
no |
| Materials: |
README |
| CRAN checks: |
csemTools results |
Documentation:
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