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csemTools  

Conditional Standard Error of Measurement Tools for Test Scores
View on CRAN: Click here


Download and install csemTools package within the R console
Install from CRAN:
install.packages("csemTools")

Install from Github:
library("remotes")
install_github("cran/csemTools")

Install by package version:
library("remotes")
install_version("csemTools", "0.2.1")



Attach the package and use:
library("csemTools")
Maintained by
Cesar Merino-Soto
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-07-29
Latest Update: 2026-07-29
Description:
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>.
How to cite:
Cesar Merino-Soto (2026). csemTools: Conditional Standard Error of Measurement Tools for Test Scores. R package version 0.2.1, https://cran.r-project.org/web/packages/csemTools. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-08-26 20:00), 0.1.4 (2026-07-29 18:20)
Other packages that cited csemTools R package
View csemTools citation profile
Other R packages that csemTools depends, imports, suggests or enhances
Complete documentation for csemTools
Functions, R codes and Examples using the csemTools R package
Full csemTools package functions and examples
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