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2.8 References
Backhaus K, Wilken R, Voeth M, and Sichtmann C (2005) An empirical comparison of methods to measure willingness to pay by examining the hypothetical bias. International Journal of Marketing Research 47:543–62
Ben-Akiva M and Lerman S (1985) Discrete choice analysis. MIT Press, Cambridge
Ben-Akiva M, Bradley M, Morikawa T, Benjamin J, Novak TP, Thomas P, Oppewal H, and Rao V (1994) Combining revealed and stated preference data. Marketing Letters 5:335–50
Cameron TA and James MD (1987) Estimating willingness to pay from survey data: an alternative pre-test market evaluation procedure. Journal of Marketing Research 24:389–95
Caussade S, Ortuzar JD, Rizzi LI, and Hensher DA (2005) Assessing the influence of design dimensions on stated choice experiment estimates. Transportation Research Part B 39:621–40
Cottrell, NB (1972) Social facilitation. In McClintock C (ed.) Experimental social psychology. Holt, Rinehart & Winston: New York, NY, pp. 185–236
Coulter PB (1982) Race of interviewer effects on telephone interviews. Public Opinion Quarterly 46:278–84
Curren MT, Folkes VS, and Steckel JH (1992). Explanations for successful and unsuccessful marketing decisions: the decision maker’s perspective. Journal of Marketing 56:18–31
DeShazo JR and Fermo G (2002) Designing choice sets for stated preference methods: the effects of complexity on choice consistency. Journal of Environmental Economics and Management 44:123–143
Diamantopoulos A, Schlegelmilch BB, and Reynolds N (1994) Pretesting in questionnaire design: the impact of respondent characteristics on error detection. Journal of Market Research Society 36:295–314
Fern EF, Monroe KB, and Avila RA (1986) Effectiveness of multiple request strategies: a synthesis of research results. Journal of Marketing Research 23:144–53
Fowler TC (1990) Value analysis in design. Van Nostrand Reinhold, New York
Frankel M (1983) Sampling theory, in Rossi PH, Wright JD and Anderson AB (eds.) Handbook of Survey Research. Academic Press, New York, pp 21–67
Green PE and Srinivasan V (1990) Conjoint analysis in marketing: new developments with implications for research and practice. Journal of Marketing 54:3–19
Greer TV and Lohtia R (1994) Effects of source and paper color on response rates in mail surveys. Industrial Marketing Management 23:47–54
Henderson JM and Quandt RE (1980) Microeconomic theory—a mathematical approach. McGraw-Hill, New York
Horowitz JK (1991) Discounting money payoffs: an experimental analysis. Handbook of behavioral economics. JAI Press, Inc., Greenwich
Hunt SD, Sparkman RD Jr, and Wilcox J (1982) The pretest in survey research: issues and preliminary findings. Journal of Marketing Research May: 269–73
Jones S (1985) Problem-definition in marketing research: facilitating between clients and researchers. Psychology and Marketing 2:83–93
Kish L (1965) Survey sampling. Wiley, New York
Klein G and MG Sobol (1996) Bias in computer-assisted surveys. IEEE Transactions on Systems, Man, and Cybernetics Part A: Systems and Humans 26:566–571
Kraemer HC and S Thiemann (1988) How many subjects? Sage Publications, Newbury Park
Lancaster K (1966) A new approach to consumer theory. Journal of Political Economy 74:132–57
Lancaster K (1971) Consumer demand: a new approach. Columbia University Press, New York
Leslie L (1971) Are high response rates essential to valid surveys? Social Science Research Sept:332–34
Louviere JJ, Hensher DA, and Swait JD (2000) Stated choice methods: analysis and application. Cambridge University Press, Cambridge, UK
Malhotra NK (1987) Analyzing marketing research data with incomplete information on the dependent variable. Journal of Marketing Research 4:74–84
Malhotra NK (1996) Marketing research: an applied orientation, 2nd edn. Prentice Hall, Upper Saddle River
McFadden D (1986) The choice theory approach to market research. Marketing Science 5:275–97
Mitchell RC and Carson RT (1989) Using surveys to value public goods: the contingent valuation method. John Hopkins University Press, Baltimore
Neill HR Cummings RG, Ganderton PT, Harrison GW, and McGuckin T (1994) Hypothetical surveys, provision rules and real economic commitments. Land Economics 70:145–54
Reynolds N, Diamantopoulos A, and Schlegelmilch BB (1993) Pretesting in questionnaire design: a review of the literature and suggestions for further research. Journal of the Market Research Society 35:171–82
Rosenthal R (1976) Experimenter effects in behavioral research, expanded edn. Irvington Publishers, New York
Singer E, Frankel MR and Glassman MB (1983) The effect of interviewer characteristics and expectations on response. Public Opinion Quarterly 47:68–83
Sudman S (1976) Applied sampling. Academic Press, New York
Taguchi G and Wu Y (1980) Introduction to off-line quality control. Central Japan Quality Control Association, Nagoya
Train K (1985) Qualitative choice analysis. MIT Press, Cambridge
von Neumann J and Morgenstern O (1947) Theory of games and economic behavior, 2nd edn. Cambridge University Press, Cambridge, UK
Yu J and Cooper H (1983) A quantitative review of research design effects on response rates to questionnaires. Journal of Marketing Research 20:36–44
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(2007). Assessing Value Using Surveys. In: Value Driven Product Planning and Systems Engineering. Springer, London. https://doi.org/10.1007/978-1-84628-965-1_2
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