Dagsvik, J.K. (1994). Discrete and continuous choice, max-stable processes, and independece from irrelevant attributes. Econometrica, 62 (5), 1179-1205.

Dahan, E. & Srinivasan, V. (1998). The predictive power of internet-based product concept testing using visual depiction and animation. Working paper, Stanford University, CA.

Danaher, P.J. (1997). Using conjoint analysis to determine the relative importance of service attributes measured in customer satisfaction surveys. Journal of Retailing, 73 (2), 235-260.

Darmon, R.Y. & Coderre, F. (1993). The predictive validity of conjoint analysis. The case of concepts with interpolated attribute levels (CERESSEC working paper, DR 93036). Cergy Pontoise: CERESSEC.

Darmon, R.Y. & Rouzies, D. (1989). Assessing conjoint analysis internal validity: The effect of various continuous attribute level spacings. International Journal of Research in Marketing, 6, 35-44.

Darmon, R.Y. & Rouzies, D. (1991). Internal validity assessment of conjoint estimated attribute importance weights. Journal of the Academy of Marketing Science, 19 (4), 315-322.

Darmon, R.Y. & Rouzies, D. (1994). Reliability and internal validity of conjoint estimated utility functions under error-free versus error-full conditions. International Journal of Research in Marketing, 11 (5), 465-477.

Darmon, R.Y. & Rouzies, D. (1999). Internal validity of conjoint analysis under alternative measurement procedures. Journal of Business Research, 46 (1), 67-81.

DATALOGICS (1991). FUTREX: Conjoint/trade-off program. Software. DATALOGICS Marketing Service Division, PA.

Datoo, B.A. (1994). Measuring price elasticity: Researchers today have a choice of methodologies. Here’s how to make the right trade-off. Marketing Research, 6 (2), 30-34.

Davidson, J.D. (1973). Forecasting traffic on STOL. Operations Research Quarterly, 24, 561-569.

Dawes, R.M. & Corrigan, B. (1974). Linear models in decision-making. Psychological Bulletin, 81, 95-106.

Dawes, R.M. (1982). The robust beauty of improper linear models in decision making. In D. Kahneman, P. Slovic & A. Tversky (Eds.), Judgement under uncertainty. Heuristics and biases (pp. 391-407). New York.

de Ruyter, K. & Wetzels, M. (1996). Two sides of the same story: Measuring different quality perceptions of the dyadic service encounter with the SERVCON instrument. Total Quality Management, 7 (6), 595-603.

Deal, K. (2001). Individual level discrete-choice conjoint using CBC/HB. Marketing Research, 13 (1), 31-33.

Dehn, K. (2000). Quantifizierung der Bedeutung der Produktmerkmale Preis und Marke mittels Conjoint Measurement. Werbeforschung & Praxis, 2, 40-43.

Dellaert, B.G.C., Arentze, T.A., Bierlaire, M., Borgers A.W.J. & Timmermans, H.J.P. (1998). Investigating consumers´ tendency to combine multiple shopping purposes and destinations. Journal of Marketing Research, 35 (2), 177-188.

Dellaert, B.G.C., Borgers, A.W.J., Louviere, J.J. & Timmermans, H.J.P. (1998). Consumer choice of modularized products: A conjoint choice experiment approach. Working paper, Center for Economic Research, Tilburg University, Netherlands.

Dellaert, B.G.C., Borgers, A.W.J. & Timmermans, H.J.P. (1995). A day in the city. Using conjoint choice experiments to model tourists choice of activity packages. Tourism Management, 16, 347-353.

Dellaert, B.G.C., Borgers, A.W.J. & Timmermans, H.J.P. (1996). Conjoint choice models of joint participation and activity choice. International Journal of Research in Marketing, 13, 251-264.

Dellaert, B.G.C., Borgers, A.W.J. & Timmermans, H.J.P. (1997). Conjoint choice models of tourist portfolio choice: Theory and Illustration. Leisure Sciences, 19, 31-58.

Dellaert, B.G.C., Prodigalidad, M. & Louviere, J.J. (1998a). Using conjoint analysis to study family travel preference structures: A comparison of day trips and 1-week holidays. Tourism Analysis, 2 (2), 67-76.

Dellaert, B.G.C., Prodigalidad, M. & Louviere, J.J. (1998b). Family members´ projections of each other´s preference and influence: A two-stage conjoint approach. Marketing Letters, 9 (2), 135-146.

Delquié, P. (1993). Inconsistent trade-offs between attributes: New evidence in preference assessment biases. Management Science, 39 (11), 1382-1395.

DeMaris, A. (1992). Logit modeling: Practical applications. Newbury Park, CA: SAGE Publications.

Denison, D.R. & Fornell, C. (1990). Modeling distance structures in consumer research: Scale versus order in validity assessment. Journal of Consumer Research, 16, 479-489.

Dennis, D.F. (1998). Analyzing public inputs to multiple objective decisions on national forests using conjoint analysis. Forest Science, 44 (3), 421-429.

Dennis, D.F. (2000). An ordered probit analysis of public values for use in multiple objective decision-making. Computers and Electronics in Agriculture, 27, 127-137.

DeSarbo, W. & Cron, W. (1988). A maximum likelihood methodology for clusterwise linear regression. Psychometrica, 54 (4), 707-736.

DeSarbo, W.S. & Green, P.E. (1984). Concept, theory, and techniques: Choice-constrained conjoint analysis. Decision Sciences, 15, 297-323.

DeSarbo, W.S. & Kholi, J. (1994, August). Consideration sets in conjoint analysis. Paper presented at Statistics in Marketing Section, The Joint Statistical Meetings in Toronto.

DeSarbo, W.S., Carroll, J.D., Lehmann, D.R. & O´Shaughnessy, J. (1982). Three-way multivariate conjoint analysis. Marketing Science, 1 (Fall), 323-350.

DeSarbo, W.S., Huff, L., Rolandelli, M.M. & Choi, J. (1994). Chapter 9: On the measurement of perceived service quality: A conjoint analysis approach. In R.T. Rust & R.L. Oliver (Eds.), Service quality: new directions in theory and practice (pp. 201-222). Thousand Oaks, CA: SAGE Publications.

DeSarbo, W.S., Oliver, R.S. & Rangaswamy, A. (1989). A simulated annealing methodology for clusterwise linear regression. Psychometrika, 54 (4), 707-736.

DeSarbo, W.S., Ramaswamy, V. & Cohen, S.H. (1995). Market segmentation with choice-based conjoint analysis. Marketing Letters, 6 (2), 137-147.

DeSarbo, W.S., Wedel, M., Vriens, M. & Ramaswamy, V. (1992). Latent class metric conjoint analysis. Marketing Letters, 3 (3), 273-289.

DeSoete, G. (1981). Ein Thurstonischer Ansatz zur probabilistischen verbundenen Messung. Archiv für Psychologie, 134 (1), 59-72.

Diamantopoulos, A., Schlegelmilch, B.B. & Du Preez, J.P. (1995). Lessons for pan-european marketing? The role of consumer preferences in fine-tuning the product-market fit. International Marketing Review, 12 (2), 38-52.

Diamond, J.J., Ruth, H.R., Markham, F.W., Rabinowitz, H.K. & Rosenthal, M.P. (1994). Speciality selections of Jefferson Medical College students: A conjoint analysis. Evaluation & the Health Professions, 17 (3), 322-328.

Dichtl, E & Thomas, U. (1986). Der Einsatz des Conjoint Measurement im Rahmen der Verpackungsmarktforschung. Marketing ZFP, 8 (1), 35-40.

Diederich, A. & Orth, B. (1988). Axiome und ihre empirische Überprüfung. Zeitschrift für experimentelle und angewandte Psychologie, 35 (4), 546-558.

Diekmann, A. (1982). Eine additiv verbundene Messung des Sozialprestiges. Zeitschrift für Sozialpsychologie, 13 (1), 22-31.

Dijkstra, J. & Timmermans, H.J.P. (1997). Exploring the possibilities of conjoint measurement as a decision-making tool for virtual way finding environments. In Yu-Tung Liu (Ed.), CAADRIA '97. Proceedings of The Second Conference on Computer Aided Architetural Design Research in Asia (pp.61-72). Taipeh: Hu's Publishers.

Diller, H. (1991). Preispolitik (2. überarbeitete Aufl.). Stuttgart: Kohlhammer.

Diller, H., George, G. & Hammer, K. (1992). Die Preisfindung bei industriellen Gütern am Beispiel Telefonanlagen - Ergebnisse einer Conjoint Measurement Studie. Arbeitspapier (Nr. 13), Lehrstuhl für Marketing, Universität Nürnberg-Erlangen.

Ding, S., Geschke, U. & Lewis, R. (1991). Conjoint analysis and ist application in the hospitality industry. Journal of the International Academy of Hospitality Research, 2, 2-29.

Dobson, G. & Kalish, S. (1993). Heuristics for pricing and positioning a product-line using conjoint and cost data. Management Science, 39 (2), 160-175.

Dolan, P. (1999). Valuing health-related quality of life: Issues and controversies. Pharmacoeconomics, 15 (2), 119-127.

Dorsch, M.J. & Teas, R.K. (1992). A test of the convergent validity of self-explicated and decompositional conjoint measurement. Journal of the Academy of Marketing Science, 20, 37-48.

Dréze, X. & Zufryden, F. (1997). Testing web site design and promotional content. Journal of Advertising Research, 37 (2), 77-91.

Dréze, X. & Zufryden, F. (1998). A web-based methodology for product design evaluation and optimisation. Journal of the Operational Research Society, 49, 1034-1043.

Driver, R.W., Hatfield, J.D. & Huseman, R.C. (1981). A proposed method for analyzing employee benefit preferences: Conjoint measurement. Human Resource Management, 20 (1), 18-23.

Dubè, L., Renaghan, L.M. & Miller, J.M. (1994). Measuring customer satisfaction for strategic management. The Cornell Hotel & Restaurant Administration Quarterly, 39-47.

Durvasula, S., Sharma, S. & Andrews, J.C. (1992). STOLRELOC: A retail store location model based on managerial judgments. Journal of Retailing, 68 (4), 420-444.

Dykstra, O. Jr. (1958). Factorial experimentation in Scheffé's analysis of variance for paired comparison. American Statistical Association Journal, 53, 529-542.