easyRasch2 - Psychometric Analysis with Rasch Measurement Theory
Streamlines reproducible Rasch measurement theory analyses
for ordinal item-response data, combining estimation routines
from 'eRm', 'psychotools', 'mirt', 'iarm', and 'lavaan' with
consistent diagnostic, plotting, and reporting layers. Covers
the four basic psychometric criteria summarised by Christensen
et al. (2021) <doi:10.1111/sms.13908> -- unidimensionality,
local independence, ordered response category thresholds, and
invariance across subgroups -- together with item fit,
targeting, reliability, category functioning, and descriptive
item-response plots. A distinguishing feature is the use of
simulation-based critical values to replace rule-of-thumb
cutoffs for conditional infit mean-square, item-rest-score
gamma, Yen's Q3 local-dependence statistic, the largest
residual-PCA eigenvalue, ordinal CFA fit indices, and
partial-gamma DIF and local-dependence coefficients, optionally
augmented with multiplicity-corrected bootstrap p-values.
Outputs are knitr::kable() tables and 'ggplot2' figures
suitable for direct inclusion in 'Quarto' and 'R Markdown'
reports.
