Bayesian latent variable models for the analysis of experimental psychology data

No abstract is available for this paper.

• Publication year

  2018

• Venue

  Psychonomic Bulletin & Review

• Publication date

  2018-02-01

• Fields of study

  Medicine, Psychology

• Identifiers
  DOI 10.3758/s13423-016-1016-7PMID 26993323
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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• Individual differences in attention influence perceptual decision making

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• The BUGS Book: A Practical Introduction to Bayesian Analysis

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  2013cited by this paper
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  2013cited by this paper
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• Default Bayes factors for ANOVA designs

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  2012cited by this paper
• Default Bayes Factors for Model Selection in Regression

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  2012cited by this paper
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  2008influential reference
• Bayes factors: Prior sensitivity and model generalizability

  2008cited by this paper
• Structural Equation Modeling, A Bayesian Approach

  2008cited by this paper
• Bayesian Exploratory and Confirmatory Factor Analysis: Perspectives on Constrained-Model Selection

  2007influential reference
• Structural Equation Modeling: A Bayesian Approach

  2007cited by this paper
• Bayesian Methods for Analyzing Structural Equation Models With Covariates, Interaction, and Quadratic Latent Variables

  2007cited by this paper
• Bayesian Structural Equation Modeling

  2007influential reference
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• Conservative prior distributions for variance parameters in hierarchical models

  2006cited by this paper
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  2000cited by this paper
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  2000cited by this paper
• Maximum likelihood estimation of latent interaction effects with the LMS method

  2000influential reference
• Bayesian estimation and testing of structural equation models

  1999cited by this paper
• Analyzing data from experimental studies: A latent variable structural equation modeling approach.

  1998cited by this paper
• Analysis of multivariate probit models

  1998cited by this paper
• Simulating Normalizing Constants: From Importance Sampling to Bridge Sampling to Path Sampling

  1998cited by this paper
• Computing Bayes Factors by Combining Simulation and Asymptotic Approximations

  1997cited by this paper
• Estimating Bayes Factors via Posterior Simulation with the Laplace—Metropolis Estimator

  1997influential reference
• A Necessary and Sufficient Identification Rule for Structural Models Estimated in Practice.

  1995cited by this paper
• Bayes factors

  1995influential reference
• Ockham's Razor and Bayesian Analysis

  1992cited by this paper
• Inference from Iterative Simulation Using Multiple Sequences

  1992influential reference
• Author??s Addendum

  1990cited by this paper
• On the Use of Structural Equation Models in Experimental Designs

  1989cited by this paper
• Accurate Approximations for Posterior Moments and Marginal Densities

  1986cited by this paper
• Applied multivariate analysis : using Bayesian and frequentist methods of inference

  1984cited by this paper
• Bayes Factors for Linear and Log‐Linear Models with Vague Prior Information

  1982cited by this paper
• A bayesian approach to confirmatory factor analysis

  1981cited by this paper
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  1981cited by this paper
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  1981cited by this paper
• Bayesian estimation in unrestricted factor analysis: A treatment for heywood cases

  1975cited by this paper
• The Weighted Likelihood Ratio, Sharp Hypotheses about Chances, the Order of a Markov Chain

  1970cited by this paper
• A general approach to confirmatory maximum likelihood factor analysis

  1969cited by this paper
• Factor Analysis as a Statistical Method.

  1964cited by this paper

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