A new integrated model of noncompensatory and compensatory decision strategies

Organizational Behavior and Human Decision Processes

Volumn 95, Issue 1, 2004, Pages 1-19

  Elrod, Terry ^a   Johnson, Richard D ^a   White, Joan ^a  

^a UNIVERSITY OF ALBERTA   (Canada)

Author keywords

Additive models; Choice behavior; Compensatory evaluation; Multiattribute decision making; Noncompensatory evaluation

Indexed keywords

EID: 4444355732     PISSN: 07495978     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.obhdp.2004.06.002     Document Type: Article

References (78)

1. Abe M. A generalized additive model for discrete-choice data Journal of Business and Economic Statistics 17 1999 271-284
2. Beach L.R. Broadening the definition of decision making: The role of prechoice screening of options Psychological Science 4 1993 215-220
3. Billings R. & Marcus S. Measures of linear and nonlinear models of decision behavior: Process tracing versus policy capturing Organizational Behavior and Human Performance 31 1983 331-351
4. Block H.D. & Marschak J. Random orderings and stochastic theories of responses In: Olkin I. Ghurye S. Hoeffding H. Madow W. Mann H. (Eds.) Contributions to probability and statistics 1960 97 132 Stanford University Press Stanford, CA
5. Borooah V.K. Logit and probit: Ordered and multinomial models 2002 Sage Publications London
6. Brannick M.T. The development and evaluation of some models for detecting the presence of nonlinear combinations in phenomena of interest to industrial and organizational psychologists Dissertation Abstracts International 47 1986 3564B
7. Brannick M.T. & Brannick J.P. Nonlinear and noncompensatory processes in performance evaluation Organizational Behavior and Human Decision Processes 44 1989 97-122
8. Broeder A. Decision making with the adaptive toolbox: Influence of environmental structure, intelligence, and working memory load Journal of Experimental Psychology: Learning, Memory, and Cognition 29 2003 611-625
9. Brucks M. The effects of product class knowledge on information search behavior Journal of Consumer Research 12 1985 1-16
10. Brunswik E. Thing consistency as measured by correlation coefficients Psychological Review 47 1940 69-78
11. Busemeyer J.R. & Diederich A. Survey of decision field theory Mathematical Social Sciences 43 2002 345-370
12. Busemeyer J.R. & Townsend J.T. Decision field theory: A dynamic-cognitive approach to decision making in an uncertain environment Psychological Review 100 1993 432-459
13. Carroll J.D. Models and methods for multidimensional analysis of preferential choice (or other dominance) data Lantermann In: E.D. Feger H. (Eds.) Similarity and choice 1980 234-289 Huber Bern, Switzerland
14. Carroll J.D. & De Soete G. Toward a new paradigm for the study of multiattribute choice behavior American Psychologist 46 1991 342-351
15. Chambers E.A. & Cox D.R. Discrimination between alternative binary response models Biometrika 54 1967 573-578
16. Cherkassky V. & Mulier F. Learning from data: Concepts, theory and methods 1998 Wiley New York
17. Coombs C.H. & Kao R.C. (1955). Nonmetric factor analysis. Ann Arbor: University of Michigan Engineering Research Institute Bulletin No. 38
18. Dawes R.M. Social selection based on multidimensional criteria Journal of Abnormal and Social Psychology 68 1964 104-109
19. Debreu G. Representations of a preference ordering by a numerical function In: Thrall R.M. Coombs C.H. Davis R.L. (Eds.) Decision processes 1954 159-165 Princeton University Press Princeton, NJ
20. Denison D.G.T. Holmes C.C. Mallick B.K. & Smith A.F.M. Bayesian methods for nonlinear classification and regression 2002 Wiley Chichester, West Sussex, England
21. Diederich A. & Busemeyer J.R. Simple matrix methods for analyzing diffusion models of choice probability, choice response time, and simple response time Journal of Mathematical Psychology 47 2003 304-322
22. Dillon S. (1998). Descriptive decision making: Comparing theory with practice. Unpublished manuscript, Department of Management Systems, University of Waikato, New Zealand
23. Edwards W. Tversky A. Decision making 1967 Penguin Baltimore, MD
24. Einhorn H.J. The use of nonlinear, noncompensatory models in decision making Psychological Bulletin 73 1970 221-230
25. Einhorn H.J. Use of nonlinear, noncompensatory models as a function of task and amount of information Organizational Behavior and Human Performance 6 1971 1-27
26. Einhorn H.J. Kleinmuntz D.N. & Kleinmuntz B. Linear regression and process-tracing models of judgment Psychological Review 86 1979 464-485
27. Falmagne J.-C. A representation theorem for finite random scale systems Journal of Mathematical Psychology 18 1978 52-72
28. Fishburn P.C. Stochastic utility In: Barbera S. Hammond P.J. Seidl C. (Eds.) Handbook of utility theory Vol. 1 1998 273-318 Kluwer Dordrecht
29. Ford J.K. Schmitt N. Schechtman S.L. Hults B.M. & Doherty M.L. Process tracing methods: Contributions, problems, and neglected research issues Organizational Behavior and Human Decision Processes 43 1989 75-117
30. Ganzach Y. & Czaczkes B. On detecting nonlinear noncompensatory judgment strategies: Comparison of alternative regression models Organizational Behavior and Human Decision Processes 61 1995 168-176
31. Gensch D.H. A two-stage disaggregate attribute choice model Marketing Science 6 1987 223-239
32. Gigerenzer G. Adaptive thinking: Rationality in the real world 2000 Oxford University Press New York
33. Gilbride T.J. & Allenby G.M. (in press). A choice model with conjunctive, disjunctive, and compensatory screening rules. Marketing Science
34. Goldberg L.R. Five models of clinical judgment: A clinical comparison between linear and nonlinear representations of the human inference process Organizational Behavior and Human Performance 6 1971 458-479
35. Green P. Krieger A. & Bansal P. Completely unacceptable levels in conjoint analysis: A cautionary note Journal of Marketing Research 25 1988 293-300
36. Grossberg S. How does a brain build a cognitive code? Psychological Review 87 1980 1-51
37. Grossberg S. & Gutowski W. Neural dynamics of decision making under risk: Affective balance and cognitive-emotional interactions Psychological Review 94 1987 300-318
38. Halff H.M. Choice theories for differentially comparable alternatives Journal of Mathematical Psychology 14 1976 244-246
39. Hannan E.J. & Quinn B.G. The determination of the order of an autoregression Journal of the Royal Statistical Society, Series B 41 1979 190-195
40. Hastie T. & Tibshirani R. Generalized additive models 1990 Chapman Hall, New York
41. Huber J. & Klein N. Adapting cutoffs to the choice environment: The effects of attribute correlation and reliability Journal of Consumer Research 18 1991 346-357
42. Insightful Corp. (2001). S-Plus 6 for Windows guide to statistics, volume 1. Seattle, WA: Insightful Corp
43. Iverson G. & Luce R.D. The representational measurement approach to psychophysical and judgmental problems In: Birnbaum M.H. (Eds.) Measurement, judgment, and decision making 1998 1-79 Academic Press New York
44. Johnson R.M. (1987). Adaptive conjoint analysis. In Proceedings of the Sawtooth Software Conference on Perceptual Mapping, Conjoint Analysis, and Computer Interviewing. Sun Valley, ID, 253-266
45. Klein N.M. & Bither S.W. An investigation of utility-directed cut-off selection Journal of Consumer Research 14 1987 240-256
46. Lancaster K.J. A new approach to consumer theory Journal of Political Economy 74 1966 132-157
47. Leven S.J. & Levine D.S. Multiattribute decision making in context: A dynamic neural network methodology Cognitive Science 20 1996 271-299
48. Levin I.P. & Jasper J.D. Phased narrowing: A new process tracing method for decision making Organizational Behavior and Human Decision Processes 64 1995 1-8
49. Luce R.D. Semi-order and a theory of utility discrimination Econometrica 24 1956 178-191
50. McFadden D. Conditional logit analysis of qualitative choice behavior In: Zarembka P. (Eds.) Frontiers in econometrics 1974 105-142 Academic Press New York
51. McFadden D. Econometric models of probabilistic choice In: Manski C.F. McFadden D. (Eds.) Structural analysis of discrete data 1987 MIT Press Cambridge, MA
52. Mela C.F. & Lehmann D.R. Using fuzzy set-theoretic techniques to identify preference rules from interactions in the linear-model-an empirical-study Fuzzy Sets and Systems 71 1995 165-181
53. Miller G.A. The magical number seven plus or minus two: Some limits on our capacity for processing information Psychological Review 63 1956 81-97
54. Mosteller F. & Nogee P. An experimental measurement of utility Journal of Political Economy 59 1951 371-404
55. Nisbett R.E. & Wilson T.D. Telling more than we can know: Verbal reports on mental processes Psychological Review 7 1977 231-259
56. Payne J.W. Task complexity and contingent processing in decision making: An information search and protocol analysis Organizational Behavior and Human Performance 16 1976 366-387
57. Payne J.W. Bettman J.R. & Johnson E.J. Adaptive strategy selection in decision making Journal of Experimental Psychology: Learning, Memory, and Cognition 14 1988 534-552
58. Payne J.W. Bettman J.R. & Johnson E.J. The adaptive decision maker 1993 Cambridge University Press New York
59. Payne J.W. Bettman J.R. & Luce M.F. Behavioral decision research: An overview In: Birnbaum M.H. (Eds.) Measurement, judgment, and decision making 1998 303-359 Academic Press New York
60. Phelps R.H. & Shanteau J. Livestock judges: How much information can an expert use? Organizational Behavior and Human Performance 21 1978 209-219
61. Pras B. & Summers J. A comparison of linear and nonlinear evaluation process models Journal of Marketing Research 12 1975 276-281
62. Ratkowsky D.A. Handbook of nonlinear regression models 1990 Dekker New York
63. Ripley B.D. Pattern recognition and neural networks 1996 Cambridge University Press Cambridge
64. Roberts J. A grounded model of consideration set size and composition Advances in Consumer Research 15 1988 749-757
65. Roe R.M. Busemeyer J.R. & Townsend J.T. Multialternative decision field theory: A dynamic connectionist model of decision making Psychological Review 108 2001 370-392
66. Ross G.J.S. Nonlinear estimation 1990 Springer-Verlag New York
67. Schoenberg I.J. Contributions to the problem of approximation of equidistant data by analytical functions, part a: On the problem of smoothing or graduation Quarterly of Applied Mathematics 4 1946 45-99
68. Schwarz G. Estimating the dimension of a model Annals of Statistics 6 1978 461-464
69. Schoemaker P.J.H. Experiments on decisions under risk: The expected utility theorem 1980 Martinus Nijhoff Publishing Boston
70. Shugan S. The cost of thinking Journal of Consumer Research 7 1980 99-111
71. Simon H.A. A behavioral model of rational choice Quarterly Journal of Economics 69 1955 99-118
72. Slovic P. & Lichtenstein S. Comparison of Bayesian and regression approaches to the study of information processing in judgment Organizational Behavior and Human Performance 6 1971 649-744
73. Swait J. A non-compensatory choice model incorporating attribute cutoffs Transportation Research Part B 35 2001 903-928
74. Tversky A. Intransitivity of preferences Psychological Review 76 1969 31-48
75. Tversky A. Elimination by aspects: A theory of choice Psychological Review 76 1972 31-48
76. Tversky A. Kahneman D. Judgment under uncertainty: Heuristics and biases Science 185 1974 1124-1131
77. von Neumann J. & Morgenstern O. Theory of games and economic behavior 1947 Princeton University Press Princeton, NJ
78. Yntema D.B. & Torgerson W.S. Man-computer cooperation in decisions requiring common sense IRE Transactions of the Professional Group on Human Factors in Electronics, HFE-2 1961 20-26