Choosing Between Internet and Mail Survey Modes for Choice Experiment Surveys Considering Non-Market Goods
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Adamowicz WL, Louviere J, Swait J (1998) Introduction to attribute-based stated choice methods. National Oceanic and Atmospheric Administration, Washington
Babbie E (1990) Survey research methods. Wadsworth, Belmont
Ballantyne C (2004) Online or on paper: an examination of the differences in response and respondents to a survey administered in two modes. Paper presented at the Australasian Evaluation Society 2004 International Conference, Adelaide, 13–15 Oct 2004
Berrens RP, Bohara AK, Jenkins-Smith HC, Silva CL, Weimer L (2003) The advent of internet surveys for political research: a comparison of telephone and internet samples. Polit Anal 11(1): 1–22
Berrens RP, Bohara AK, Jenkins-Smith HC, Silva CL, Weimer DL (2004) Information and effort in contingent valuation surveys: application to global climate change using national internet samples. J Environ Econ Manag 47(2): 331–363
Bierlaire M (2003) BIOGEME: a free package for the estimation of discrete choice models. In: Proceedings of the 3rd Swiss Transportation Research Conference, Ascona, 19–21 Mar 2003
Boyle KJ (2003) Contingent valuation in practice. In: Champ PA, Boyle KJ, Brown TC (eds) A primer on nonmarket valuation. Kluwer, Dordrecht, pp 111–169
Boyle KJ, Bergstrom JC (1999) Doubt, doubt, and doubters: the genesis of a new research agenda? In: Bateman IJ, Willis KG (eds) Valuing environmental preferences. Theory and practice of the contingent valuation method in the US, EU, and developing countries. Oxford University Press, Oxford, pp 183–206
Campbell D, Hutchinson WG, Scarpa R (2006) Using mixed logit models to derive individual-specific WTP estimates for landscape improvements under agri-environmental schemes: evidence from the Rural Environment Protection Scheme in Ireland. In: Koundouri P, Birol E (eds) Choice experiments informing European environmental policy. Edward Elgar (Forthcoming)
Carlsson F, Frykblom P, Liljenstolpe C (2003) Valuing wetland attributes: an application of choice experiments. Ecol Econ 47(1): 95–103
Cobanoglu C, Warde B, Moreo PJ (2001) A comparison of mail, fax and web-based survey methods. Int J Market Res 43(4): 441–452
Deutskens E, de Jong A, de Ruyter K, Wetzels M (2006) Comparing the generalizability of online and mail surveys in cross-national service quality research. Market Lett 17(2): 119–136
Dillman DA (1978) Mail and telephone surveys. The total design method. Wiley, New York
Dillman DA (2007) Mail and internet surveys: the tailored design method—2007 update with new internet, visual, and mixed-mode guide. Wiley, New York
Dillman DA, Christian LM (2005) Survey mode as a source of instability in responses across surveys. Field Methods 17(1): 30–52
Dommeyer CJ, Baum P, Hanna RW, Chapman KS (2004) Gathering faculty evaluations by in-class and online surveys: their effects on response rates and evaluations. Assess Eval High Edu 29(5): 611–623
Fleming CM, Bowden M (2009) Web-based surveys as an alternative to traditional mail methods. J Environ Manag 90(1): 284–292
Forsman G, Varedian M (2002) Mail and web surveys: a cost and response rate comparison in a study of students housing conditions. Paper presented at The International Conference on Improving Surveys, Copenhagen, 25–28 Aug 2002
Greene WH, Hensher DA (2007) Heteroscedastic control for random coefficients and error components in mixed logit. Transp Res E Logist Transp Rev 43(5): 610–623
Hensher DA, Greene WH (2003) The mixed logit model: the state of practice. Transportation 30(2): 133–176
Hensher DA, Rose JM, Greene WH (2005) Applied choice analysis: a primer. Cambridge University Press, Cambridge
Hess S, Bierlaire M, Polak J (2005) Estimation of value of travel-time savings using Mixed Logit models. Transp Res Pol Pract 39(3): 221–236
Hole AR (2007) A comparison of approaches to estimating confidence intervals for willingness to pay measures. Health Econ 16(8): 827–840
Hudson D, Seah L-H, Hite D, Haab T (2004) Telephone presurveys, self-selection, and non-response bias to mail and internet surveys in economic research. Appl Econ Lett 11(4): 237–240
Jorgensen BS, Syme GJ (2000) Protest responses and willingness to pay: attitude toward paying for stormwater pollution abatement. Ecol Econ 33(2): 251–265
Jorgensen BS, Syme GJ, Bishop BJ, Nancarrow BE (1999) Protest responses in contingent valuation. Environ Resour Econ 14(1): 131–150
Kaplowitz MD, Hadlock TD, Levine R (2004) A comparison of web and mail survey response rates. Publ Opin Q 68(1): 94–101
Knapp H, Kirk SA (2003) Using pencil and paper, Internet and touch-tone phones for self-administered surveys: does methodology matter? Comput Hum Behav 19(1): 117–134
Krinsky I, Robb AL (1986) On approximating the statistical properties of elasticities. Rev Econ Stat 68(4): 715–719
Krinsky I, Robb AL (1990) On approximating the statistical properties of elasticities: a correction. Rev Econ Stat 72(1): 189–190
Kuhfeld W (2005) Marketing research methods in SAS. Experimental design, choice, conjoint and graphical techniques. SAS Institute Inc. http://support.sas.com/techsup/technote/ts722.pdf . Cited 12 November 2008.
Ladenburg J, Olsen SB (2008) Gender specific starting point bias in choice experiments: evidence from an empirical study. J Environ Econ Manag 56(3): 275–285
Leece P, Bhandari M, Sprague S, Swiontkowski MF, Schemitsch EH, Tornetta P, Devereaux PJ, Guyatt GH (2004) Internet Versus Mailed Questionnaires: a controlled comparison. J Med Internet Res 6(4): e39
Lindsey G (1994) Market models, protest bids, and outliers in contingent valuation. J Water Resour Plan Manag 120(1): 121–129
Louviere J, Hensher DA, Swait J (2000) Stated choice methods. Analysis and applications. Cambridge University Press, Cambridge
Lundhede TH, Olsen SB, Jacobsen JB, Thorsen BJ (2009) Handling respondent uncertainty in choice experiments: evaluating recoding approaches against explicit modelling of uncertainty. Paper presented at the International Choice Modelling Conference, Harrogate, 30 March–1 April 2009
Marta-Pedroso C, Freitas H, Domingos T (2007) Testing for the survey mode effect on contingent valuation data quality: a case study of web based versus in-person interviews. Ecol Econ 62(3-4): 388–398
McCabe SE, Boyd CJ, Couper MP, Crawford S, Darcy H (2002) Mode effects for collecting alcohol and other drug use data: web and US mail. J Stud Alcohol 63(6): 755–761
McFadden D, Bemmaor AC, Caro FG, Dominitz J, Jun BH, Lewbel A, Matzkin RL, Molinari F, Schwarz N, Willis RJ, Winter JK (2005) Statistical analysis of choice experiments and surveys. Market Lett 16(3): 183–196
McMahon SR, Iwamoto M, Massoudi MS, Yusuf HR, Stevenson JM, David F, Chu SY, Pickering LK (2003) Comparison of e-mail, fax, and postal surveys of pediatricians. Pediatrics 111(4): 299–303
Meijer E, Rouwendal J (2006) Measuring welfare effects in models with random coefficients. J Appl Econom 21(2): 227–244
Meyerhoff J, Liebe U (2006) Protest beliefs in contingent valuation: explaining their motivation. Ecol Econ 57(4): 583–594
Mitchell RC, Carson RT (1989) Using surveys to value public goods: the contingent valuation method. Resources for the Future, Washington, DC
Mitofsky WJ (1999) Pollsters.com. Publ Perspect 10: 24–26
Morrison MD, Blamey RK, Bennett JW (2000) Minimising payment vehicle bias in contingent valuation studies. Environ Resour Econ 16(4): 407–422
Muffo JM, Sinclair A, Robson V (2003) A comparison of web versus paper alumni surveys. Paper presented at the Annual Forum of the Association for Institutional Research, Tampa, 20 May 2003
Olsen SB (2007) Internet vs mail—are stated preferences affected by the mode of sampling in a choice experiment. Paper presented at the EAERE 15th Annual Conference, Thessaloniki, 27–30 June 2007
Ottens M (2006) Use of the internet among individuals and enterprises. In: Statistics in focus. Available via Eurostat. http://epp.eurostat.ec.europa.eu/cache/ITY_OFFPUB/KS-NP-06-012/EN/KS-NP-06-012-EN.PDF . Cited 26 July 2007
Poe GL, Severance-Lossin E K, Welsh M P (1994) Measuring the difference (X−Y) of simulated distributions: a convolutions approach. Am J Agric Econ 76(4): 904–915
Poe GL, Giraud KL, Loomis JB (2005) Computational methods for measuring the difference of empirical distributions. Am J Agric Econ 87(2): 353–365
Revelt D, Train K (1998) Mixed logit with repeated choices: households’ choices of appliance efficiency level. Rev Econ Stat 80(4): 647–657
Rigby D, Burton M (2006) Modeling disinterest and dislike: a bounded Bayesian mixed logit model of the UK market for GM food. Environ Resour Econ 33(4): 485–509
Scarpa R, Ferrini S, Willis K (2005) Performance of error component models for status-quo effects in choice experiments. In: Scarpa R, Alberini A (eds) Applications of simulation methods in environmental and resource economics. The economics of non-market goods and resources, vol 6. Springer, Dordrecht, pp 247–273
Scarpa R, Thiene M, Marangon F (2008) Using flexible taste distributions to value collective reputation for environmentally friendly production methods. Can J Agric Econ 56(2): 145–162
Scarpa R, Willis K, Acutt M (2007) Valuing externalities from water supply: status quo, choice complexity, and individual random effects in panel kernel logit analysis of choice experiments. J Environ Plan Manag 50(4): 449–466
Schleyer TKL, Forrest JL (2000) Methods for the design and administration of web-based surveys. J Am Med Inform Assoc 7: 416–425
Schmidt WC (1997) World-Wide Web survey research: benefits, potential problems, and solutions. Behav Res Methods Instrum Comput 29: 274–279
Schonlau M, Fricker RD Jr, Elliott MN (2002) Conducting research surveys via E-mail and the web. RAND, Santa Monica
Stanton J (1998) An empirical assessment of data collection using the Internet. Person Psychol 51: 709–725
Swait J, Louviere J (1993) The role of the scale parameter in the estimation and comparison of multinomial logit models. J Market Res 30(3): 305–314
Train K (2001) A comparison of hierarchical Bayes and maximum simulated likelihood for mixed logit. Working paper. Department of Economics, University of California, Berkeley
Train K, Sonnier G (2005) Mixed logit with bounded distributions of correlated partworths. In: Scarpa R, Alberini A (eds) Applications of simulation methods in environmental and resource economics. The economics of non-market goods and resources, vol 6. Springer, Dordrecht, pp 117–134
Train K, Weeks M (2005) Discrete choice models in preference space and willing-to-pay space. In: Scarpa R, Alberini A (eds) Applications of simulation methods in environmental and resource economics. The economics of non-market goods and resources, vol 6. Springer, Dordrecht, pp 1–16
Tsuge T, Washida T (2003) Economic valuation of the Seto Inland Sea by using an Internet CV survey. Mar Pollut Bull 47(1–6): 230–236
Weible R, Wallace J (1998) Cyber research: the impact of the internet on data collection. Market Res 10(3): 19–24
Wygant S, Lindorf R (1999) Surveying collegiate Net surfers—Web methodology or mythology. In: Quirk’s Marketing Research Review. http://www.quirks.com/articles/a1999/19990706.aspx?searchID=955999 . Cited 26 July 2007
Yun GW, Trumbo C (2000) Comparative responses to a survey executed by post, email and web form. J Comput-Mediat Comm 6(1)
Zwerina K, Huber J, Kuhfeld W (1996) A general method for constructing efficient choice designs. SAS Institute Inc. http://support.sas.com/techsup/technote/ts650/ts650D.pdf . Cited 26 July 2007