HMMTree: A computer program for latent-class hierarchical multinomial processing tree models

Behavior Research Methods

Volumn 39, Issue 2, 2007, Pages 267-273

  Stahl, Christoph ^a   Klauer, Karl Christoph ^a  

^a UNIVERSITY OF FREIBURG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 34547828781     PISSN: 1554351X     EISSN: None     Source Type: Journal    
DOI: 10.3758/BF03193157     Document Type: Conference Paper

References (20)

1. AKAIKE, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19, 716-723.
2. ASHBY, F. G., PRINZMETAL, W., IVRY, R., & MADDOX, W. T. (1996). A formal theory of feature binding in object perception. Psychological Review, 103, 165-192.
3. BATCHELDER, W. H. (1998). Multinomial processing tree models and psychological assessment. Psychological Assessment, 10, 331-344.
4. BATCHELDER, W. H., & CROWTHER, C. S. (1997). Multinomial processing tree models of factorial categorization. Journal of Mathematical Psychology, 41, 45-55.
5. BATCHELDER, W. H., & RIEFER, D. M. (1999). Theoretical and empirical review of multinomial process tree modeling. Psychonomic Bulletin & Review, 6, 57-86.
6. BAYEN, U. J., MURNANE, K., & ERDFELDER, E. (1996). Source discrimination, item detection, and multinomial models of source monitoring. Journal of Experimental Psychology: Learning, Memory, & Cognition, 22, 197-215.
7. BRAINERD, C. J., STEIN, L. M., & REYNA, V. E (1998). On the development of conscious and unconscious memory. Developmental Psychology, 34, 342-357.
8. ERDFELDER, E. (2000). Multinomiale Modelle in der kognitiven Psychologie [Multinomial models in cognitive psychology]. Unpublished Habilitationsschrift, Universität Bonn.
9. EVANS, J. ST. B. T. (1977). Toward a statistical theory of reasoning. Quarterly Journal of Experimental Psychology, 29, 621-635.
10. HU, X. (1999). Multinomial processing tree models: An implementation. Behavior Research Methods, Instruments, & Computers, 31, 689-695.
11. HU, X., & BATCHELDER, W. H. (1994). The statistical analysis of engineering processing tree models with the EM algorithm. Psychometrika, 59, 21-47.
12. HU, X., & PHILLIPS, G. A. (1999). GPT.EXE: A powerful tool for the visualization and analysis of general processing tree models. Behavior Research Methods, Instruments, A Computers, 31, 220-234.
13. KLAUER, K. C (2006). Hierarchical multinomial processing tree models: A latent-class approach. Psychometrika, 71, 7-31.
14. KLAUER, K. C., MUSCH, J., & NAUMER, B. (2000). On belief bias in syllogistic reasoning. Psychological Review, 107, 852-884.
15. KLAUER, K. C., & WEGENER, I. (1998). Unraveling social categorization in the "Who said what?" paradigm. Journal of Personality & Social Psychology, 75, 1155-1178.
16. RIEFER, D. M., & BATCHELDER, W. H. (1988). Multinomial modeling and the measurement of cognitive processes. Psychological Review, 95, 318-339.
17. RIEFER, D. M., & BATCHELDER, W. H. (1991). Statistical inference for multinomial processing tree models. In J.-P. Doignon & J.-C Falmagne (Eds.), Mathematical psychology: Current developments (pp. 313-335). New York: Springer.
18. ROTHKEGEL, R. (1999). AppleTree: A multinomial processing tree modeling program for Macintosh computers. Behavior Research Methods, Instruments, & Computers, 31, 696-700.
19. SCHWARZ, G. (1978). Estimating the dimension of a model. Annals of Statistics, 6, 461-464.
20. SCHWEICKERT, R. (1993). A multinomial processing tree model for degradation and redintegration in immediate recall. Memory & Cognition, 21, 168-175.