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Construal Processes in Preference Assessment

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  • Fischhoff, Baruch
  • Welch, Ned
  • Fredrick, Shane

Abstract

Interpreting people's preferences requires understanding how they have construed their tasks, interpreting the proposed alternatives in the context where the evaluation is being made. With stylized experimental or survey choices, researchers challenge is typically identifying the features that people add in order to make their task real enough to answer (i.e., how they read between the lines). With rich "real world" choices, researchers' challenge is typically identifying the features that people neglect. as they reduce their task to manageable complexity (i.e., which lines they choose to read). In either case, if people misunderstand or mistrust the stated transaction, they may evaluate a different offer than the one that was proposed. Such misconstruals are a nuisance for investigators, insofar as dealing with them delays the measurements that motivated the research. However, they can also provide an opportunity, by focusing attention on how people give meaning to choice situations. This article describes procedures for studying construal processes. strategies for getting people to answer the questions that interest researchers, and options for interpreting responses when people construe questions differently than was intended. Copyright 1999 by Kluwer Academic Publishers

Suggested Citation

  • Fischhoff, Baruch & Welch, Ned & Fredrick, Shane, 1999. "Construal Processes in Preference Assessment," Journal of Risk and Uncertainty, Springer, vol. 19(1-3), pages 139-164, December.
  • Handle: RePEc:kap:jrisku:v:19:y:1999:i:1-3:p:139-64
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    Cited by:

    1. Rolfe, John & Bennett, Jeff, 2009. "The impact of offering two versus three alternatives in choice modelling experiments," Ecological Economics, Elsevier, vol. 68(4), pages 1140-1148, February.
    2. Zendehdel, Kamran & Rademaker, Michael & De Baets, Bernard & Van Huylenbroeck, Guido, 2008. "Qualitative valuation of environmental criteria through a group consensus based on stochastic dominance," Ecological Economics, Elsevier, vol. 67(2), pages 253-264, September.
    3. Domínguez-Torreiro, Marcos & Soliño, Mario, 2011. "Provided and perceived status quo in choice experiments: Implications for valuing the outputs of multifunctional rural areas," Ecological Economics, Elsevier, vol. 70(12), pages 2523-2531.
    4. Pedersen, Line Bjørnskov & Mørkbak, Morten Raun & Scarpa, Riccardo, 2020. "Handling resolvable uncertainty from incomplete scenarios in future doctors' job choice – Probabilities vs discrete choices," Journal of choice modelling, Elsevier, vol. 34(C).
    5. Svedsater, Henrik, 2007. "Ambivalent statements in contingent valuation studies: inclusive response formats and giving respondents time to think," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 51(1), pages 1-17.
    6. Weng, Weizhe & Morrison, Mark & Boyle, Kevin & Boxall, Peter, 2017. "The effect of the number of alternatives in a choice experiment with an application to the Macquarie Marshes, AU," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252836, Southern Agricultural Economics Association.
    7. Henrik Svedsäter, 2003. "Economic Valuation of the Environment: How Citizens Make Sense of Contingent Valuation Questions," Land Economics, University of Wisconsin Press, vol. 79(1), pages 122-135.
    8. Thijs Dekker & Paul Koster & Roy Brouwer, 2014. "Changing with the Tide: Semiparametric Estimation of Preference Dynamics," Land Economics, University of Wisconsin Press, vol. 90(4), pages 717-745.
    9. Spash, Clive L., 2002. "Informing and forming preferences in environmental valuation: Coral reef biodiversity," Journal of Economic Psychology, Elsevier, vol. 23(5), pages 665-687, October.
    10. Wändi Bruine de Bruin & Andrew Parker & Jürgen Maurer, 2011. "Assessing small non-zero perceptions of chance: The case of H1N1 (swine) flu risks," Journal of Risk and Uncertainty, Springer, vol. 42(2), pages 145-159, April.
    11. Weng, Weizhe & Morrison, Mark & Boyle, Kevin J. & Boxall, Peter C., 2017. "The effect of the number of alternatives in choice experiment questions," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 259179, Agricultural and Applied Economics Association.
    12. Riccardo Scarpa & Claudia Bazzani & Diego Begalli & Roberta Capitello, 2021. "Resolvable and Near‐epistemic Uncertainty in Stated Preference for Olive Oil: An Empirical Exploration," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(2), pages 335-369, June.
    13. Hitzhusen, Frederick J. & Abdul-Mohsen, Ashraf & Kruse, Sarah, 2004. "Toward Improved Economic Analysis Using Contingent Valuation: Some Methodological Considerations Applied To River Toxics And Dam Removal," 2004 Annual meeting, August 1-4, Denver, CO 20326, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    14. Wang, Mei & Fischbeck, Paul, 2004. "Evaluating lotteries, risks, and risk mitigation programs : a comparison of China and the United States," Papers 04-13, Sonderforschungsbreich 504.
    15. Davis, Alexander L. & Krishnamurti, Tamar, 2013. "The problems and solutions of predicting participation in energy efficiency programs," Applied Energy, Elsevier, vol. 111(C), pages 277-287.

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