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ERIC Number: ED261068
Record Type: Non-Journal
Publication Date: 1985-Apr-8
Pages: 30
Abstractor: N/A
Reference Count: N/A
Bayesian Inference and Diagnostics for the Three Parameter Logistic Model.
Leonard, Tom; Novick, Melvin R.
This proposal attempts to follow in Allan Birnbaum's tradition by using Bayesian ideas to show that his mental test model possesses even broader applicability than previously realized. Birnbaum's two significant contributions to the theories of statistics and educational testing are: (1) the proof that the sufficiency and conditionality principles together imply the liklihood principle, thus justifying conditional or Bayesian inference when compared with frequentist inference; and (2) the mental test model introduced by Lord and Novick. A conditional maximization procedure is used here to approximate numerical integrations, thus broadening the scope of Bayesian inference and model checking. (Author/GDC)
Publication Type: Reports - Research
Education Level: N/A
Audience: Researchers
Language: English
Sponsor: Office of Naval Research, Arlington, VA. Personnel and Training Research Programs Office.
Authoring Institution: Iowa Univ., Iowa City. Cada Research Group.