A matrix of responses: persons as rows, items as columns,
entries are either 0 or 1, no missing data

resp

Item parameters: the object returned by \(est\).

Weighted likelihood estimates (WLE) of ability, designed to remove the first
order bias term from the ML estimates. WLE are finite for response patterns
consisting of either uniformly wrong or uniformly correct responses.

models

A collection of functions useful in learning and practicing IRT,
which can be combined into larger programs. Provides basic CTT analysis,
a simple common interface to the estimation of item
parameters in IRT models for binary responses with three different programs
(ICL, BILOG-MG, and ltm), ability estimation (MLE, BME, EAP, WLE, plausible
values), item and person fit statistics, scaling methods (MM, MS, Stocking-Lord,
and the complete Hebaera method), and a rich array of parametric and
non-parametric (kernel) plots. Estimates and plots Haberman's interaction model
when all items are dichotomously scored.

Ivailo Partchev

wle: Bias-corrected (Warm's) estimates of ability

Description

Usage

Arguments

Value

References

See Also

Examples