An extension of the Dirichlet prior for the analysis of longitudinal multinomial data

Journal of Applied Statistics

Volumn 30, Issue 3, 2003, Pages 293-310

  Gustafson, Paul ^a   Walker, Lawrence J ^a  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN ANALYSIS;

EID: 0037381214     PISSN: 02664763     EISSN: None     Source Type: Journal    
DOI: 10.1080/0266476022000030075     Document Type: Article

References (16)

1. ANDRICH, D. (1996) Measurement criteria for choosing amongst models with graded responses. In: A. VON EYE & C. C. CLOGG (Eds) Categorial Variables in Developmental Research, pp. 3-35 (San Diego, Academic Press).
2. ARMINGER, G. (1996) Probit models for the analysis of limited dependent panel data. In: A. VON EYE & C. C. CLOGG (Eds) Categorial Variables in Developmental Research, pp. 55-74 (San Diego, Academic Press).
3. CARGNONI, C., MULLER, P. & WEST, M. (1997) Bayesian forecasting of multinomial time series through conditionally Gaussian dynamic models, Journal of the American Statistical Association, 92, pp. 640-647.
4. COLBY, A. & KOHLBERG, L. (1987) The Measurement of Moral Judgment, Vols. 1-2 (Cambridge, Cambridge University Press).
5. COLLINS, L. M. & WUGALTER, S. E. (1992) Latent class models for stage-sequential dynamic latent variables, Multivariate Behavioral Research, 27, pp. 131-157.
6. COWLES, M. K. & CARLIN, B. P. (1996) Markov chain Monte Carlo convergence diagnostics: a comparative review, Journal of the American Statistical Association, 91, pp. 883-904.
7. GILKS, W. R., RICHARDSON, S. & SPIEGELHALTER, D. J. (1996) Introducing Markov chain Monte Carlo. In: W. R. GILKS, S. RICHARDSON & D. J. SPIEGELHALTER (Eds) Markov Chain Monte Carlo in Practice, pp. 1-19 (London, Chapman and Hall).
8. JEFFREYS, H. (1961) Theory of Probability, 3rd edn (Oxford, Oxford University Press).
9. JOE, H. (1997) Multivariate Models and Dependence Concepts (New York, Chapman and Hall).
10. KASS, R. E. & RAFTERY, A. E. (1995) Bayes factors, Journal of the American Statistical Association, 90, pp. 773-795.
11. MEISER, T. (1996) Loglinear Rasch models for the analysis of stability and change, Psychometrika, 61, pp. 629-645.
12. NANDRAM, B., SEDRANSK, J. & SMITH, S. J. (1997) Order-restricted Bayesian estimation of the age composition of a population of Atlantic cod, Journal of the American Statistical Association, 92, pp. 33-40.
13. ROSNER, B. (1992) Multivariate methods for binary longitudinal data with heterogeneous correlation over time, Statistics in Medicine, 11, pp. 1915-1928.
14. WALKER, L. J. (1988) The development of moral reasoning, Annals of Child Development, 5, pp. 33-78.
15. WALKER, L. J. & TAYLOR, J. H. (1991) Stage transitions in moral reasoning: a longitudinal study of developmental processes, Developmental Psychology, 27, pp. 330-337.
16. WALKER, L. J., GUSTAFSON, P. & HENNIG, K. H. (2001) The consolidation/transition model in moral reasoning development, Developmental Psychology, 37, pp. 187-197.