Bayesian analysis of ordinal survey data using the Dirichlet process ...

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●b0.85 0.90 0.95 1.00 1.05 1.10 1.15●●●●●●●● ● ●●●●● ●●● ●● ●● ● ●●● ●●●●●●● ● ● ● ●●● ●● ● ●● ● ●●●●● ●●● ●●●●● ●●●●●●−0.3 −0.2 −0.1 0.0 0.1 0.2 0.3aFigure 2: Plot of the posterior means of the personality parameters (a i , b i ) for the SFUsurvey data.28
elative frequency0.0 0.1 0.2 0.3●●●● ● ●●●●●● ● ●●9 10 11 12 13 14Euclidean distancesFigure 3: Histogram corresponding to the ( N+12 )= 210 Euclidean distances with respectto the prior-predictive check for the SFU survey data.29
Page 1 and 2: Bayesian Analysis of Ordinal Survey
Page 3 and 4: survey where there is a respondent
Page 5 and 6: validity of the model. The proposed
Page 7 and 8: and 4’s. We instead consider a st
Page 9 and 10: our rationale for the Uniform(0, 6)
Page 11 and 12: For programming in WinBUGS, the Set
Page 13 and 14: Markov chain simulations. The resul
Page 15 and 16: Table 1: Posterior means and poster
Page 17 and 18: our model gave D = 891. In both the
Page 19 and 20: Table 2: Posterior means and poster
Page 21 and 22: To provide a more stringent test, w
Page 23 and 24: Brooks, S. P. and Gelman, A. (1997)
Page 25 and 26: Parducci, A. (1965). “Category ju
Page 27: proportion0.00 0.02 0.04 0.06 0.08

Bayesian analysis of ordinal survey data using the Dirichlet process ...

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