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ERIC Number: ED250365
Record Type: RIE
Publication Date: 1984-Aug
Pages: 23
Abstractor: N/A
Reference Count: 0
Maximum Likelihood and Bayesian Parameter Estimation in Item Response Theory.
Lord, Frederic M.
There are currently three main approaches to parameter estimation in item response theory (IRT): (1) joint maximum likelihood, exemplified by LOGIST, yielding maximum likelihood estimates; (2) marginal maximum likelihood, exemplified by BILOG, yielding maximum likelihood estimates of item parameters (ability parameters can be estimated subsequently, using Bayesian procedures); and (3) Bayesian approaches--parameter estimates are usually the mode or mean of the posterior distribution of the parameter estimated. Advantages and disadvantages of these three methods are discussed and compared. (Author/BW)
Publication Type: Information Analyses; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: Office of Naval Research, Arlington, VA. Personnel and Training Research Programs Office.
Authoring Institution: Educational Testing Service, Princeton, NJ.
Identifiers: Ability Parameters; Item Parameters