IDEAS home Printed from https://ideas.repec.org/a/eee/beexfi/v22y2019icp161-169.html
   My bibliography  Save this article

SMARTRIQS: A Simple Method Allowing Real-Time Respondent Interaction in Qualtrics Surveys

Author

Listed:
  • Molnar, Andras

Abstract

SMARTRIQS is an open-source solution that allows researchers to design and implement interactive online experiments using the popular survey platform Qualtrics. Unlike other existing platforms that allow real-time interaction, SMARTRIQS does not require any programming skills or installing any software. SMARTRIQS is fully integrated into Qualtrics: researchers create and edit their interactive experiments in the standard survey editor after importing the generic SMARTRIQS survey template. Moreover, all data resulting from real-time interaction are saved in Qualtrics. The potential applications of SMARTRIQS in experimental economics and finance are very versatile, including but not limited to experiments featuring cooperation, coordination, competition, allocation, investment, auction, and other market interactions. Researchers working in related fields (organizational research, consumer research, decision science, social psychology, political science, etc.) might also benefit from using SMARTRIQS, as it offers a convenient and simple method of studying real-time social interaction, including communication, collaborative work, collective decision-making, and voting behavior.

Suggested Citation

  • Molnar, Andras, 2019. "SMARTRIQS: A Simple Method Allowing Real-Time Respondent Interaction in Qualtrics Surveys," Journal of Behavioral and Experimental Finance, Elsevier, vol. 22(C), pages 161-169.
    • Handle: RePEc:eee:beexfi:v:22:y:2019:i:c:p:161-169
    DOI: 10.1016/j.jbef.2019.03.005
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S2214635018302636
    Download Restriction: no
    File URL: https://libkey.io/10.1016/j.jbef.2019.03.005?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. John P. A. Ioannidis & T. D. Stanley & Hristos Doucouliagos, 2017. "The Power of Bias in Economics Research," Economic Journal, Royal Economic Society, vol. 127(605), pages 236-265, October.
    2. Antonio A. Arechar & Simon Gächter & Lucas Molleman, 2018. "Conducting interactive experiments online," Experimental Economics, Springer;Economic Science Association, vol. 21(1), pages 99-131, March.
    3. Paolacci, Gabriele & Chandler, Jesse & Ipeirotis, Panagiotis G., 2010. "Running experiments on Amazon Mechanical Turk," Judgment and Decision Making, Cambridge University Press, vol. 5(5), pages 411-419, August.
    4. James Berry & Lucas C. Coffman & Douglas Hanley & Rania Gihleb & Alistair J. Wilson, 2017. "Assessing the Rate of Replication in Economics," American Economic Review, American Economic Association, vol. 107(5), pages 27-31, May.
    5. repec:cup:judgdm:v:5:y:2010:i:5:p:411-419 is not listed on IDEAS
    6. Chen, Daniel L. & Schonger, Martin & Wickens, Chris, 2016. "oTree—An open-source platform for laboratory, online, and field experiments," Journal of Behavioral and Experimental Finance, Elsevier, vol. 9(C), pages 88-97.
    7. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 10(2), pages 171-178, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Molnar, Andras & Chaudhry, Shereen J. & Loewenstein, George, 2023. "“It’s not about the money. It’s about sending a message!” Avengers want offenders to understand the reason for revenge," Organizational Behavior and Human Decision Processes, Elsevier, vol. 174(C).
    2. Hart, Einav & VanEpps, Eric M. & Schweitzer, Maurice E., 2021. "The (better than expected) consequences of asking sensitive questions," Organizational Behavior and Human Decision Processes, Elsevier, vol. 162(C), pages 136-154.
    3. Jerome Agrusa & Cathrine Linnes & Joseph Lema & Jihye (Ellie) Min & Tony Henthorne & Holly Itoga & Harold Lee, 2021. "Tourism Well-Being and Transitioning Island Destinations for Sustainable Development," JRFM, MDPI, vol. 14(1), pages 1-14, January.
    4. Mauricio Palmeira & Kunter Gunasti, 2023. "The Conflict Between Partnership and Fairness in the Decision of Whom to Help," Journal of Business Ethics, Springer, vol. 183(4), pages 1173-1188, April.
    5. Drichoutis, Andreas C. & Palma, Marco & Feldman, Paul, 2024. "Incentives and Payment Mechanisms in Preference Elicitation," MPRA Paper 120898, University Library of Munich, Germany.
    6. Hussain, Qinaat & Alhajyaseen, Wael K.M. & Adnan, Muhammad & Almallah, Mustafa & Almukdad, Abdulkarim & Alqaradawi, Mohammed, 2021. "Autonomous vehicles between anticipation and apprehension: Investigations through safety and security perceptions," Transport Policy, Elsevier, vol. 110(C), pages 440-451.
    7. Gabriella Andrade & Holly Itoga & Cathrine Linnes & Jerome Agrusa & Joseph Lema, 2021. "The Economic Sustainability of Culture in Hawai’i: Tourists’ Willingness to Pay for Hawaiian Cultural Experiences," JRFM, MDPI, vol. 14(9), pages 1-25, September.
    8. Lukas Lanz & Roman Briker & Fabiola H. Gerpott, 2024. "Employees Adhere More to Unethical Instructions from Human Than AI Supervisors: Complementing Experimental Evidence with Machine Learning," Journal of Business Ethics, Springer, vol. 189(3), pages 625-646, January.
    9. Minson, Julia A. & Bendersky, Corinne & de Dreu, Carsten & Halperin, Eran & Schroeder, Juliana, 2023. "Experimental studies of conflict: Challenges, solutions, and advice to junior scholars," Organizational Behavior and Human Decision Processes, Elsevier, vol. 177(C).
    10. Cathrine Linnes & Jerome Agrusa & Giulio Ronzoni & Joseph Lema, 2022. "What Tourists Want, a Sustainable Paradise," Tourism and Hospitality, MDPI, vol. 3(1), pages 1-20, February.
    11. Choudhury, Kangkan Dev & Aydinyan, Tigran, 2023. "Stochastic replicator dynamics: A theoretical analysis and an experimental assessment," Games and Economic Behavior, Elsevier, vol. 142(C), pages 851-865.
    12. Hossain, Md Afnan & Akter, Shahriar & Yanamandram, Venkata & Strong, Carolyn, 2024. "Navigating the platform economy: Crafting a customer analytics capability instrument," Journal of Business Research, Elsevier, vol. 170(C).
    13. Min, Jihye & Kim, Jiyoung & Yang, Kiseol, 2023. "CSR attributions and the moderating effect of perceived CSR fit on consumer trust, identification, and loyalty," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    14. Marcus Giamattei & Kyanoush Seyed Yahosseini & Simon Gächter & Lucas Molleman, 2020. "LIONESS Lab: a free web-based platform for conducting interactive experiments online," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 6(1), pages 95-111, June.

    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. Chan, Shu Wing & Schilizzi, Steven & Iftekhar, Md Sayed & Da Silva Rosa, Raymond, 2019. "Web-based experimental economics software: How do they compare to desirable features?," Journal of Behavioral and Experimental Finance, Elsevier, vol. 23(C), pages 138-160.
    2. Palan, Stefan & Schitter, Christian, 2018. "Prolific.ac—A subject pool for online experiments," Journal of Behavioral and Experimental Finance, Elsevier, vol. 17(C), pages 22-27.
    3. Mourelatos, Evangelos, 2023. "Does Mood affect Sexual and Gender Discrimination in Hiring Choices? Evidence from Online Experiments," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 106(C).
    4. Hyndman, Kyle & Walker, Matthew J., 2022. "Fairness and risk in ultimatum bargaining," Games and Economic Behavior, Elsevier, vol. 132(C), pages 90-105.
    5. Fumagalli, Elena & Rezaei, Sarah & Salomons, Anna, 2022. "OK computer: Worker perceptions of algorithmic recruitment," Research Policy, Elsevier, vol. 51(2).
    6. Mourelatos, Evangelos, 2021. "Personality and Ethics on Online Labor Markets: How mood influences ethical perceptions," EconStor Preprints 244735, ZBW - Leibniz Information Centre for Economics.
    7. Marcus Giamattei & Kyanoush Seyed Yahosseini & Simon Gächter & Lucas Molleman, 2020. "LIONESS Lab: a free web-based platform for conducting interactive experiments online," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 6(1), pages 95-111, June.
    8. Kusterer, David & Sliwka, Dirk, 2022. "Social Preferences and Rating Biases in Subjective Performance Evaluations," IZA Discussion Papers 15496, Institute of Labor Economics (IZA).
    9. Gary Bolton & Eugen Dimant & Ulrich Schmidt, 2018. "When a Nudge Backfires. Using Observation with Social and Economic Incentives to Promote Pro-Social Behavior," PPE Working Papers 0017, Philosophy, Politics and Economics, University of Pennsylvania.
    10. Bouma, J.A. & Nguyen, Binh & van der Heijden, Eline & Dijk, J.J., 2018. "Analysing Group Contract Design Using a Lab and a Lab-in-the-Field Threshold Public Good Experiment," Discussion Paper 2018-049, Tilburg University, Center for Economic Research.
    11. Nick Huntington‐Klein & Andreu Arenas & Emily Beam & Marco Bertoni & Jeffrey R. Bloem & Pralhad Burli & Naibin Chen & Paul Grieco & Godwin Ekpe & Todd Pugatch & Martin Saavedra & Yaniv Stopnitzky, 2021. "The influence of hidden researcher decisions in applied microeconomics," Economic Inquiry, Western Economic Association International, vol. 59(3), pages 944-960, July.
    12. Haas, Nicholas & Hassan, Mazen & Mansour, Sarah & Morton, Rebecca B., 2021. "Polarizing information and support for reform," Journal of Economic Behavior & Organization, Elsevier, vol. 185(C), pages 883-901.
    13. Hindsley, Paul & McEvoy, David M. & Morgan, O. Ashton, 2020. "Consumer Demand for Ethical Products and the Role of Cultural Worldviews: The Case of Direct-Trade Coffee," Ecological Economics, Elsevier, vol. 177(C).
    14. Capraro, Valerio & Rodriguez-Lara, Ismael & Ruiz-Martos, Maria J., 2020. "Preferences for efficiency, rather than preferences for morality, drive cooperation in the one-shot Stag-Hunt game," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 86(C).
    15. Castagnetti, Alessandro & Schmacker, Renke, 2022. "Protecting the ego: Motivated information selection and updating," European Economic Review, Elsevier, vol. 142(C).
    16. Chan, Nathan W. & Wolk, Leonard, 2020. "Cost-effective giving with multiple public goods," Journal of Economic Behavior & Organization, Elsevier, vol. 173(C), pages 130-145.
    17. Dato, Simon & Feess, Eberhard & Nieken, Petra, 2019. "Lying and reciprocity," Games and Economic Behavior, Elsevier, vol. 118(C), pages 193-218.
    18. Wladislaw Mill & Cornelius Schneider, 2023. "The Bright Side of Tax Evasion," CESifo Working Paper Series 10615, CESifo.
    19. Gandullia, Luca & Lezzi, Emanuela & Parciasepe, Paolo, 2020. "Replication with MTurk of the experimental design by Gangadharan, Grossman, Jones & Leister (2018): Charitable giving across donor types," Journal of Economic Psychology, Elsevier, vol. 78(C).
    20. Christine Laudenbach & Michael Ungeheuer & Martin Weber, 2023. "How to Alleviate Correlation Neglect in Investment Decisions," Management Science, INFORMS, vol. 69(6), pages 3400-3414, June.

    More about this item

    Keywords

    Online experiment; Qualtrics; Real-time interaction; Research method; Software; Survey design;
    All these keywords.

    JEL classification:

    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior

    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:eee:beexfi:v:22:y:2019:i:c:p:161-169. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-behavioral-and-experimental-finance .

    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.