Package: csemTools 0.2.1

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>.

Authors:Cesar Merino-Soto [aut, cre]

csemTools_0.2.1.tar.gz
csemTools_0.2.1.zip(r-4.7-any)csemTools_0.2.1.zip(r-4.6-any)csemTools_0.2.1.zip(r-4.5-any)
csemTools_0.2.1.tgz(r-4.6-any)csemTools_0.2.1.tgz(r-4.5-any)
csemTools_0.2.1.tar.gz(r-4.7-any)csemTools_0.2.1.tar.gz(r-4.6-any)
csemTools_0.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
csemTools/json (API)

# Install 'csemTools' in R:
install.packages('csemTools', repos = c('https://cmerinos.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/cmerinos/csemtools/issues

Datasets:
  • rse_data - Rosenberg Self-Esteem Scale Example Dataset

On CRAN:

Conda:

conditional-standard-error-measurementreliabilitytest-precision

3.85 score 1 stars 359 downloads 24 exports 20 dependencies

Last updated from:7159b030b5. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK155
source / vignettesOK199
linux-releaseOK156
macos-releaseOK114
macos-oldrelOK131
windows-develOK117
windows-releaseOK114
windows-oldrelOK110
wasm-releaseOK127

Exports:checkAlphacheckAngoffcheckCongenericcheckDistributioncheckLocationcheckScalecheckSpearmanBrowncheckSplitcompareCSEMcsemBinomcsemBootscsemFeldtQuallscsemFSGcsemMFcsemStrongcsemThorndikecurvesCSEMcompkr20kr21plotCSEMpolynomialDegreescaleCSEMscoreCSEMstdCSEM

Dependencies:bootclicpp11farverggplot2gluegtableisobandlabelinglifecyclepatchworkpbapplyR6RColorBrewerrlangS7scalesvctrsviridisLitewithr

Readme and manuals

Help Manual

Help pageTopics
Compute Cronbach's Alpha for Two Test HalvescheckAlpha
Compute Angoff-Feldt Reliability Coefficient for two test halvescheckAngoff
Gilmer-Feldt Congeneric Reliability for Each Test HalfcheckCongeneric
Compare Distributions of Two Test HalvescheckDistribution
Robust Location Comparison for Two Test Halves (Yuen's trimmed t-test)checkLocation
Compare Scale (Variability) Between Two Test HalvescheckScale
Compute Spearman-Brown Reliability CoefficientcheckSpearmanBrown
Split a Test into Two HalvescheckSplit
Compare Conditional SEM with Global SEMcompareCSEM
Binomial Model for Conditional Standard Error of Measurement (CSEM)csemBinom
Bootstrap Conditional Standard Error of Measurement (CSEM) based on Item SamplingcsemBoots
Feldt & Qualls (1996) method for Conditional Standard Error of Measurement (CSEM)csemFeldtQualls
ANOVA method for Conditional Standard Error of Measurement (CSEM)csemFSG
Mollenkopf-Feldt method for Conditional Standard Error of Measurement (CSEM)csemMF
Strong True Score (Compound Binomial) Model for CSEMcsemStrong
Thorndike's method for Conditional Standard Error of Measurement (CSEM)csemThorndike
Compare Conditional Standard Error of Measurement (CSEM) CurvescurvesCSEMcomp
KR-20 Reliability Coefficient for Dichotomous Itemskr20
KR-21 Reliability Coefficient for Dichotomous Itemskr21
Plot Conditional Standard Error of Measurement (CSEM) CurveplotCSEM
Selecting the Polynomial Degree for CSEM Smoothing (Linear Regression)polynomialDegree
Print method for csem_compare objectsprint.csem_compare
Rosenberg Self-Esteem Scale Example Datasetrse_data
Compute Conditional Standard Error of Measurement (CSEM) for Non-Linear Scale ScoresscaleCSEM
Obtain CSEM for individual scores from a reference tablescoreCSEM
Standardized Conditional Reliability (Raju et al., 2007)stdCSEM