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Abstract Details
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Activity Number:
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352
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Type:
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Contributed
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Date/Time:
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Tuesday, July 31, 2012 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Bayesian Statistical Science
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| Abstract - #305851 |
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Title:
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Positive Trait Item Response Models
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Author(s):
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Joseph Lucke*+
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Companies:
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SUNY at Buffalo
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Address:
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1021 Main St, Buffalo, NY, 14203-1016, United States
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Keywords:
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item response theory ;
positive latent trait ;
Bayesian inference ;
item characteristic curve ;
item information curve ;
person score
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Abstract:
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A new item response model is proposed for which the trait is positive. Three such models, the log-logistic, the log-normal, and the Weibull, are presented along with their item information curves. The data of seven addiction items from the DSM-IV from a study on alcohol addiction is analyzed by these three models using Bayesian Markov chain Monte Carlo methods. The item characteristic curves and item information curves are presented for all three models. The person scores for four item response patterns are presented for the log-logistic model.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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