wle function

Bias-corrected (Warm's) estimates of ability

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.

wle(resp, ip)

Arguments

• resp: A matrix of responses: persons as rows, items as columns, entries are either 0 or 1, no missing data
• ip: Item parameters: the object returned by $est$.

Returns

A matrix with the ability estimates in column 1, and their standard errors of measurement (SEM) in column 2, and the number of non-missing reponses in column 3

Examples

th.bce <- wle(resp=Scored, ip=Scored2pl)

References

Warm T.A. (1989) Weighted Likelihood Estimation of Ability in Item Response Theory. Psychometrika, 54, 427-450.

See Also

mlebme, eap

Author(s)

Ivailo Partchev