Representing parametric order constraints in multi-trial applications of multinomial processing tree models

Journal of Mathematical Psychology

Volumn 48, Issue 4, 2004, Pages 215-229

  Knapp, Bethany R ^a   Batchelder, William H ^b  

^a INDIANA UNIVERSITY   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 3342973778     PISSN: 00222496     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jmp.2004.03.002     Document Type: Article

References (21)

1. Agresti A. Categorical data analysis 2002 Wiley Hoboken, NJ
2. Baldi P. Batchelder W.H. Bounds on variances of estimators for multinomial processing tree models Journal of Mathematical Psychology 47 2003 467-470
3. Batchelder W.H. Multinomial processing tree models of cognition In Hacker W. Rinck M. (Eds.) Bericht über den 41. Kongress der Deutschen Gesellschaft für Psychologie in Dresden 1999 65-73 Pabst Science Publishing Lengerich, Germany
4. Batchelder W.H. Chosak-Reiter J. Shankle W.R. Dick M.B. A multinomial modeling analysis of memory deficits in Alzheimer's and vascular dementia Journal of Gerontology: Psychological Sciences 52B 1997 206-215
5. Batchelder W.H. Riefer D.M. Separation of storage and retrieval factors in free recall of clusterable pairs Psychological Review 87 1980 375-397
6. Batchelder W.H. Riefer D.M. The statistical analysis of a model for storage and retrieval processes in human memory British Journal of Mathematical and Statistical Psychology 39 1986 120-149
7. Batchelder W.H. Riefer D.M. Theoretical and empirical review of multinomial process tree modeling Psychonomic Bulletin & Review 6 1999 57-86
8. Battig W.F. Montague W.E. Category norms for verbal items in 56 categories: A replication and extension of the Connecticut category norms Journal of Experimental Psychology Monograph 80 3, Pt.2 1969 1-46
9. Bush R.R. Mosteller F. Stochastic models of learning 1955 Wiley New York
10. Erdfelder E. Faul F. Buchner A. GPOWER: A general power analysis program Behavior Research Methods, Instruments & Computers 28 1995 1-11
11. Gelfand A.E. Smith A.F.M. Lee T-M. Bayesian analysis of constrained parameter and truncated data problems Journal of the American Statistical Association 87 1992 615-632
12. Hu, X. (1999). GPT: Computer program for arbitrary general processing tree models (available at http://xhuoffice.psyc.memphis.edu/gpt/ index.htm) Memphis, TN: Department of Psychology, The University of Memphis.
13. Hu X. Batchelder W.H. The statistical analysis of general processing tree models with the EM algorithm Psychometrika 59 1994 21-47
14. Hu X. Phillips G.A. GPT.EXE: A powerful tool for the visualization and analysis of general processing tree models Behavior Research Methods, Instruments & Computers 31 2 1999 220-234
15. Little R.J.A. Rubin D.B. Statistical analysis with missing data 1987 Houghton Mifflin New York
16. Read T.R.C. Cressie N.A.C. Goodness-of-fit statistics for discrete multivariate data 1988 Springer New York
17. Riefer D.M. Batchelder W.H. Multinomial modeling and the measurement of cognitive process Psychological Review 95 1988 318-339
18. Riefer D.M. Batchelder W.H. Statistical inference for multinomial processing tree models In Doignon J.-P. Falmagne J.-C. (Eds.) Mathematical psychology: Current developments 1991 313-336 Springer Berlin
19. Riefer D.M. Knapp B.R. Batchelder W.H. Bamber D. Manifold V. Cognitive psychometrics: Assessing storage & retrieval deficits in special populations with multinomial processing tree models Psychological Assessment 14 2002 184-201
20. Robertson T. Wright F.T. Dykstra R.L. Order restricted inference 1988 Wiley New York
21. Rothkegel R. Apple Tree: A multinomial processing tree modeling program for Macintosh computers Behavior Research Methods, Instruments & Computers 31 1999 696-700