IDEAS home Printed from https://ideas.repec.org/a/oup/ajagec/v97y2015i2p526-545..html
   My bibliography  Save this article

Position Bias in Best-worst Scaling Surveys: A Case Study on Trust in Institutions

Author

Listed:
  • Danny Campbell
  • Seda Erdem

Abstract

This paper investigates the effect of items' physical position in the best-worst scaling technique. Although the best-worst scaling technique has been widely used in many fields, the literature has largely overlooked the phenomenon of consumers' adoption of processing strategies while making their best-worst choices. We examine this issue in the context of consumers' trust in institutions to provide information about a new food technology, nanotechnology, and its use in food processing. Our results show that approximately half of the consumers used position as a schematic cue when making choices. We find the position bias was particularly strong when consumers chose their most trustworthy institution compared to their least trustworthy institution. In light of our findings, we recommend that researchers in the field be aware of the possibility of position bias when designing best-worst scaling surveys. We also encourage researchers who have already collected best-worst data to investigate whether their data shows such heuristics.

Suggested Citation

  • Danny Campbell & Seda Erdem, 2015. "Position Bias in Best-worst Scaling Surveys: A Case Study on Trust in Institutions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(2), pages 526-545.
  • Handle: RePEc:oup:ajagec:v:97:y:2015:i:2:p:526-545.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/ajae/aau112
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Danny Campbell & W. Hutchinson & Riccardo Scarpa, 2008. "Incorporating Discontinuous Preferences into the Analysis of Discrete Choice Experiments," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 41(3), pages 401-417, November.
    2. Jayson L. Lusk & Brian C. Briggeman, 2009. "Food Values," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(1), pages 184-196.
    3. Flynn, Terry N. & Louviere, Jordan J. & Peters, Tim J. & Coast, Joanna, 2007. "Best-worst scaling: What it can do for health care research and how to do it," Journal of Health Economics, Elsevier, vol. 26(1), pages 171-189, January.
    4. Pat Auger & Timothy Devinney & Jordan Louviere, 2007. "Using Best–Worst Scaling Methodology to Investigate Consumer Ethical Beliefs Across Countries," Journal of Business Ethics, Springer, vol. 70(3), pages 299-326, February.
    5. Campbell, Danny & Hensher, David A. & Scarpa, Riccardo, 2012. "Cost thresholds, cut-offs and sensitivities in stated choice analysis: Identification and implications," Resource and Energy Economics, Elsevier, vol. 34(3), pages 396-411.
    6. Riccardo Scarpa & Raffaele Zanoli & Viola Bruschi & Simona Naspetti, 2013. "Inferred and Stated Attribute Non-attendance in Food Choice Experiments," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(1), pages 165-180.
    7. Seda Erdem & Danny Campbell & Arne Risa Hole, 2015. "Accounting for Attribute‐Level Non‐Attendance in a Health Choice Experiment: Does it Matter?," Health Economics, John Wiley & Sons, Ltd., vol. 24(7), pages 773-789, July.
    8. repec:cup:judgdm:v:6:y:2011:i:4:p:323-332 is not listed on IDEAS
    9. Valenzuela, Ana & Raghubir, Priya & Mitakakis, Chrissy, 2013. "Shelf space schemas: Myth or reality?," Journal of Business Research, Elsevier, vol. 66(7), pages 881-888.
    10. Office of Health Economics, 2007. "The Economics of Health Care," For School 001490, Office of Health Economics.
    11. Eran Dayan & Maya Bar-Hillel, 2011. "Nudge to nobesity II: Menu positions influence food orders," Discussion Paper Series dp581, The Federmann Center for the Study of Rationality, the Hebrew University, Jerusalem.
    12. Erdem, Seda & Campbell, Danny & Thompson, Carl, 2014. "Elimination and selection by aspects in health choice experiments: Prioritising health service innovations," Journal of Health Economics, Elsevier, vol. 38(C), pages 10-22.
    13. Lusk, Jayson L. & Briggeman, Brian C., 2008. "AJAE appendix for “Food Values”," American Journal of Agricultural Economics APPENDICES, Agricultural and Applied Economics Association, vol. 91(1), pages 1-12, February.
    14. Riccardo Scarpa & Timothy J. Gilbride & Danny Campbell & David A. Hensher, 2009. "Modelling attribute non-attendance in choice experiments for rural landscape valuation," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 36(2), pages 151-174, June.
    15. Carlsson, Fredrik & Raun Mørkbak, Morten & Bøye Olsen, Søren, 2010. "The first time is the hardest: A test of ordering effects in choice experiments," Working Papers in Economics 470, University of Gothenburg, Department of Economics.
    16. Guney, Begum, 2014. "A theory of iterative choice in lists," Journal of Mathematical Economics, Elsevier, vol. 53(C), pages 26-32.
    17. Swait, Joffre, 2001. "A non-compensatory choice model incorporating attribute cutoffs," Transportation Research Part B: Methodological, Elsevier, vol. 35(10), pages 903-928, November.
    18. repec:cup:judgdm:v:6:y:2011:i:4:p:333-342 is not listed on IDEAS
    19. Erdem, Seda & Rigby, Dan & Wossink, Ada, 2012. "Using best–worst scaling to explore perceptions of relative responsibility for ensuring food safety," Food Policy, Elsevier, vol. 37(6), pages 661-670.
    20. Inman, J Jeffrey & McAlister, Leigh & Hoyer, Wayne D, 1990. "Promotion Signal: Proxy for a Price Cut?," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 17(1), pages 74-81, June.
    21. Seda Erdem & Dan Rigby, 2013. "Investigating Heterogeneity in the Characterization of Risks Using Best Worst Scaling," Risk Analysis, John Wiley & Sons, vol. 33(9), pages 1728-1748, September.
    22. Stephane Hess & Amanda Stathopoulos & Danny Campbell & Vikki O’Neill & Sebastian Caussade, 2013. "It’s not that I don’t care, I just don’t care very much: confounding between attribute non-attendance and taste heterogeneity," Transportation, Springer, vol. 40(3), pages 583-607, May.
    23. Day, Brett & Bateman, Ian J. & Carson, Richard T. & Dupont, Diane & Louviere, Jordan J. & Morimoto, Sanae & Scarpa, Riccardo & Wang, Paul, 2012. "Ordering effects and choice set awareness in repeat-response stated preference studies," Journal of Environmental Economics and Management, Elsevier, vol. 63(1), pages 73-91.
    24. Swait, Joffre & Ben-Akiva, Moshe, 1987. "Incorporating random constraints in discrete models of choice set generation," Transportation Research Part B: Methodological, Elsevier, vol. 21(2), pages 91-102, April.
    25. David Hensher & John Rose & William Greene, 2005. "The implications on willingness to pay of respondents ignoring specific attributes," Transportation, Springer, vol. 32(3), pages 203-222, May.
    26. Campbell, Danny & Hensher, David A. & Scarpa, Riccardo, 2014. "Bounding WTP distributions to reflect the ‘actual’ consideration set," Journal of choice modelling, Elsevier, vol. 11(C), pages 4-15.
    27. Raghubir, Priya & Valenzuela, Ana, 2006. "Center-of-inattention: Position biases in decision-making," Organizational Behavior and Human Decision Processes, Elsevier, vol. 99(1), pages 66-80, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sandorf, Erlend Dancke & Crastes dit Sourd, Romain & Mahieu, Pierre-Alexandre, 2018. "The effect of attribute-alternative matrix displays on preferences and processing strategies," Journal of choice modelling, Elsevier, vol. 29(C), pages 113-132.
    2. Contu, Davide & Strazzera, Elisabetta, 2022. "Testing for saliency-led choice behavior in discrete choice modeling: An application in the context of preferences towards nuclear energy in Italy," Journal of choice modelling, Elsevier, vol. 44(C).
    3. Erdem, Seda & Campbell, Danny & Thompson, Carl, 2014. "Elimination and selection by aspects in health choice experiments: Prioritising health service innovations," Journal of Health Economics, Elsevier, vol. 38(C), pages 10-22.
    4. Sandorf, Erlend Dancke & Campbell, Danny & Hanley, Nick, 2017. "Disentangling the influence of knowledge on attribute non-attendance," Journal of choice modelling, Elsevier, vol. 24(C), pages 36-50.
    5. Erdem, Seda & Campbell, Danny & Thompson, Carl, 2014. "Addressing elimination and selection by aspects decision rules in discrete choice experiments: does it matter?," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169839, Agricultural and Applied Economics Association.
    6. Erlend Dancke Sandorf & Danny Campbell, 2019. "Accommodating satisficing behaviour in stated choice experiments," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 46(1), pages 133-162.
    7. Logar, Ivana & Brouwer, Roy & Campbell, Danny, 2020. "Does attribute order influence attribute-information processing in discrete choice experiments?," Resource and Energy Economics, Elsevier, vol. 60(C).
    8. Jourdain, Damien & Lairez, Juliette & Striffler, Bruno & Lundhede, Thomas, 2022. "A choice experiment approach to evaluate maize farmers’ decision-making processes in Lao PDR," Journal of choice modelling, Elsevier, vol. 44(C).
    9. Campbell, Danny & Boeri, Marco & Doherty, Edel & George Hutchinson, W., 2015. "Learning, fatigue and preference formation in discrete choice experiments," Journal of Economic Behavior & Organization, Elsevier, vol. 119(C), pages 345-363.
    10. Meginnis, Keila & Campbell, Danny, 2017. "Students’ preferences for attributes of postgraduate economics modules: Evidence from a multi-profile best-worst scaling survey," International Review of Economics Education, Elsevier, vol. 24(C), pages 18-27.
    11. Klaus Glenk & Julia Martin-Ortega & Manuel Pulido-Velazquez & Jacqueline Potts, 2015. "Inferring Attribute Non-attendance from Discrete Choice Experiments: Implications for Benefit Transfer," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 60(4), pages 497-520, April.
    12. Mara Thiene & Riccardo Scarpa & Jordan Louviere, 2015. "Addressing Preference Heterogeneity, Multiple Scales and Attribute Attendance with a Correlated Finite Mixing Model of Tap Water Choice," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(3), pages 637-656, November.
    13. Yegoryan, Narine & Guhl, Daniel & Klapper, Daniel, 2018. "Inferring Attribute Non-Attendance Using Eye Tracking in Choice-Based Conjoint Analysis," Rationality and Competition Discussion Paper Series 111, CRC TRR 190 Rationality and Competition.
    14. Richard Yao & Riccardo Scarpa & John Rose & James Turner, 2015. "Experimental Design Criteria and Their Behavioural Efficiency: An Evaluation in the Field," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(3), pages 433-455, November.
    15. Colombo, Sergio & Christie, Michael & Hanley, Nick, 2013. "What are the consequences of ignoring attributes in choice experiments? Implications for ecosystem service valuation," Ecological Economics, Elsevier, vol. 96(C), pages 25-35.
    16. Gonçalves, Tânia & Lourenço-Gomes, Lina & Pinto, Lígia M. Costa, 2022. "The role of attribute non-attendance on consumer decision-making: Theoretical insights and empirical evidence," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 788-805.
    17. Sebastian Heidenreich & Verity Watson & Mandy Ryan & Euan Phimister, 2018. "Decision heuristic or preference? Attribute non‐attendance in discrete choice problems," Health Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 157-171, January.
    18. Hole, Arne Risa & Kolstad, Julie Riise & Gyrd-Hansen, Dorte, 2013. "Inferred vs. stated attribute non-attendance in choice experiments: A study of doctors’ prescription behaviour," Journal of Economic Behavior & Organization, Elsevier, vol. 96(C), pages 21-31.
    19. Kemper, Nathan & Popp, Jennie & Nayga, Jr., Rodolfo M. & Bazzani, Claudia, 2024. "A Query Approach to Modeling Attendance to Attributes in Discrete Choice Experiments," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 0(Preprint), January.
    20. Espinosa-Goded, María & Rodriguez-Entrena, Macario & Salazar-Ordóñez, Melania, 2021. "A straightforward diagnostic tool to identify attribute non-attendance in discrete choice experiments," Economic Analysis and Policy, Elsevier, vol. 71(C), pages 211-226.

    More about this item

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:oup:ajagec:v:97:y:2015:i:2:p:526-545.. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/aaeaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.