Maximum Likelihood and Bayesian Parameter Estimation in Item Response Theory.

reportActive / Technical Report | Accession Number: ADA145775 | Open PDF

Abstract:

Advantages and disadvantages of joint maximum likelihood, marginal maximum likelihood, and Bayesian methods of parameter estimation in item response theory are discussed and compared. Author supplied keywords include Mental Test Theory and Bias Statistical.

Author(s):
Lord, F. M.
Author Organization(s):
EDUCATIONAL TESTING SERVICE PRINCETON NJ
Descriptive Note:
Technical rept.,
Pagination:
0024

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution:
Approved For Public Release

RECORD

Collection: TR
Identifying Numbers
Report Number(s):
ETS-RR-84-30-ONR
Contract/Grant Number(s):
N00014-83-C-0457
 Subject Terms
Joint Capability Areas:
JCA_1.2.3_Educating; JCA_1.2.1_Training; JCA_5_Command and Control; JCA_5.3_Planning; JCA_4_Logistics
Communities of Interest:
Human Systems
Descriptor(s):
*STATISTICAL TESTS, ESTIMATES, BAYES THEOREM, PARAMETRIC PROGRAMMING
Field(s)/Group(s):
Statistics and Probability
Keyword(s):
WUNR150520
Report Date:
1984 Aug 01