Explicit normal-approximation intervals for testlet calibration
Source:R/api-extended-calibration-intervals.R
confint.mfrm_testlet.RdExplicit normal-approximation intervals for testlet calibration
Usage
# S3 method for class 'mfrm_testlet'
confint(object, parm = "calibration", level = 0.95, ...)Arguments
- object
A result from
fit_mfrm_testlet().- parm
"calibration"returns all fixed-facet and step intervals. Variance components and Person abilities are not included.- level
Nominal confidence level between zero and one; default 0.95.
- ...
Unused.
Value
A matrix with Lower and Upper, one row per fixed-facet level or
step, and attributes level, method, target and note.
Details
The explicit request computes estimate plus/minus a normal quantile
times the saved observed-information SE. It needs no fitting, scoring or
live optimizer and does not change the source fit. Nominal finite-sample
coverage is not established. Estimated variance boundaries, unresolved
numerical/information checks and invalid SEs retain missing bounds.
No regular variance interval, simultaneous comparison or automatic rater
classification is supplied. Default fit tables, summaries and plots omit
these bounds. Use summary(fit, calibration_intervals = "normal"),
plot(fit, intervals = "normal"), or
mfrm_results(fit, calibration_intervals = "normal") to select the same
approximation in those outputs; their level arguments retain its nominal
interpretation. predict.mfrm_testlet() supplies the separate conditional
Person-scoring intervals.