Conditional Standard Error of Measurement Tools for Test Scores
Overview
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.
Maintenance
- Removed dependency on archived package EFA.dimensions.
- Added internal dataset
rse_data(Rosenberg Self-Esteem Scale) for package examples. - Updated examples to use the internal dataset.
From NEWS.md in the release
Install
Health
- OK13 OKNow
- OK12 OK2026-08-05
- NOTE10 OK, 1 NOTE2026-08-01
- OK5 OK2026-07-30
Documentation
- Help pages
- 27 (1 internal)includes a package overview page
- Examples that run
- 17%4 run in a plain check · 19 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 92%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 56%
Downloads
Repository
Commits over time
5 development-tooling and community-health practices detected across 4 families in the upstream repository
Checks run against github.com/cmerinos/csemtools on 2026-10-18.
Dependencies
Code & Tests
Datasets
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- 0.2.1Latest
- 0.1.42026-07-29
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-07-29
- Total releases
- 2 / 1 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.5
- Bundled data
- 2.5 KB / 1 file
- Download size
- 74 KB
Cite
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