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Sampling Variances and Covariances of Parameter Estimates in Item Response Theory [microform] / Frederic M. Lord and Marilyn S. Wingersky
Bib ID 5419693
Format BookBook, MicroformMicroform, OnlineOnline
Author
Lord, Frederic M
 
Online Versions
Description [Washington, D.C.] : Distributed by ERIC Clearinghouse, 1982 
51 p. 
Summary

A possible method is developed for computing the asymptotic sampling variance-covariance matrix of joint maximum likelihood estimates in item response theory when both item parameters and abilities are unknown. For a set of artificial data, results are compared with empirical values and with the variance-covariance matrices found by the usual formulas for the case where the abilities are known, or where the item parameters are known. The results are consistent with the conjecture that the new method is asymptotically correct except for errors due to grouping. (Author/PN)

Notes

Sponsoring Agency: Office of Naval Research, Arlington, VA. Personnel and Training Research Programs Office.

Contract Number: N00014-80-C-0402.

May also be available online. Address as at 14/8/18: https://eric.ed.gov/

Reproduction Microfiche. [Washington D.C.]: ERIC Clearinghouse microfiches : positive. 
Subjects Error of Measurement.  |  Estimation (Mathematics)  |  Latent Trait Theory.  |  Matrices.  |  Maximum Likelihood Statistics.  |  Statistics.  |  Item Parameters
Form/genre Reports, Research.
Other authors/contributors Wingersky, Marilyn S., author  |  Educational Testing Service, Princeton, NJ
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