Diagnose fixed departures from an explanatory model

Fits each available item-location, polytomous threshold-structure or comparative-judgement object departure separately from the active model. Probabilities use Kent calibration and Holm adjustment over the complete candidate family. The Kent departure tests are first-order asymptotic comparisons and do not use the finite-person-cluster correction applied to individual coefficients. A candidate with a withheld probability, including a refit that errors or fails to converge, remains in that family.

Usage

explanatory_diagnostics(fit, p_adjust = "holm")

Arguments

fit

A fitted explanatory Rasch or comparative judgement model.

p_adjust

Multiplicity adjustment over the candidate departures.

Value

A data frame ordered by adjusted probability. For item fits, a weak column marks items whose thresholds the calibration flags as weakly identified; their probabilities are withheld, since the departure test rests on the same sparse categories, and a note on the table records the withholding. The converged column identifies candidate refits that converged. Statistics from a failed or non-convergent candidate are withheld, but it remains in the multiplicity family.