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Abstract Details

Activity Number: 352
Type: Contributed
Date/Time: Tuesday, July 31, 2012 : 10:30 AM to 12:20 PM
Sponsor: Section on Bayesian Statistical Science
Abstract - #305851
Title: Positive Trait Item Response Models
Author(s): Joseph Lucke*+
Companies: SUNY at Buffalo
Address: 1021 Main St, Buffalo, NY, 14203-1016, United States
Keywords: item response theory ; positive latent trait ; Bayesian inference ; item characteristic curve ; item information curve ; person score

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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