Description Usage Arguments Value Author(s) References See Also Examples
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.
1 | wle(resp, ip)
|
resp |
A matrix of responses: persons as rows, items as columns, entries are either 0 or 1, no missing data |
ip |
Item parameters: a matrix with one row per item, and three columns: [,1] item discrimination a, [,2] item difficulty b, and [,3] asymptote c. |
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
Ivailo Partchev
Warm T.A. (1989) Weighted Likelihood Estimation of Ability in Item Response Theory. Psychometrika, 54, 427-450.
1 |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.