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A truncated probit item response model for estimating psychophysical thresholds

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Publication:1048647
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DOI10.1007/s11336-009-9122-3zbMath1179.62159OpenAlexW2144412003MaRDI QIDQ1048647

Richard D. Morey, Paul L. Speckman, Jeffrey N. Rouder

Publication date: 7 January 2010

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11336-009-9122-3


zbMATH Keywords

thresholdsitem response theoryBayesian hierarchical modelsIRTMACmass at chance


Mathematics Subject Classification ID

Bayesian inference (62F15) Psychophysics and psychophysiology; perception (91E30) Applications of statistics to psychology (62P15)


Related Items

Hierarchical single- and dual-process models of recognition memory


Uses Software

  • BayesDA


Cites Work

  • Markov chains for exploring posterior distributions. (With discussion)
  • Problematic effects of aggregation in \(z\)ROC analysis and a hierarchical modeling solution
  • Sampling-Based Approaches to Calculating Marginal Densities
  • Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
  • Generalised Gibbs sampler and multigrid Monte Carlo for Bayesian computation
  • Bayesian Measures of Model Complexity and Fit
  • Bayesian Analysis of Binary and Polychotomous Response Data
  • Unnamed Item
  • Unnamed Item
  • Unnamed Item
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