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. 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.
    2. 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.
    3. repec:cup:judgdm:v:5:y:2010:i:5:p:411-419 is not listed on IDEAS
    4. 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.
    5. 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.
    6. 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.
    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. 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.
    6. 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.
    7. 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.
    8. 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).
    9. 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.
    10. 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).
    11. 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. 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.
    3. 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.
    4. Kas, Judith, 2022. "The effect of online reputation systems on intergroup inequality," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 96(C).
    5. 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.
    6. Giamattei, Marcus & Lambsdorff, Johann Graf, 2019. "classEx — an online tool for lab-in-the-field experiments with smartphones," Journal of Behavioral and Experimental Finance, Elsevier, vol. 22(C), pages 223-231.
    7. Mark Marner-Hausen, 2022. "Developing a Framework for Real-Time Trading in a Laboratory Financial Market," ECONtribute Discussion Papers Series 172, University of Bonn and University of Cologne, Germany.
    8. Mekvabishvili, Rati, 2023. "Decentralized or Centralized Governance in Social Dilemmas? Experimental Evidence from Georgia," MPRA Paper 117811, University Library of Munich, Germany.
    9. Roggenkamp, Hauke C., 2024. "Revisiting ‘Growth and Inequality in Public Good Provision’—Reproducing and Generalizing Through Inconvenient Online Experimentation," OSF Preprints 6rn97, Center for Open Science.
    10. Duch, Matthias L. & Grossmann, Max R.P. & Lauer, Thomas, 2020. "z-Tree unleashed: A novel client-integrating architecture for conducting z-Tree experiments over the Internet," Journal of Behavioral and Experimental Finance, Elsevier, vol. 28(C).
    11. Becker, Christoph K. & Melkonyan, Tigran & Proto, Eugenio & Sofianos, Andis & Trautmann, Stefan T., 2020. "Reverse Bayesianism: Revising Beliefs in Light of Unforeseen Events," IZA Discussion Papers 13821, Institute of Labor Economics (IZA).
    12. Luigi Butera & Philip Grossman & Daniel Houser & John List & Marie-Claire Villeval, 2020. "A New Mechanism to Alleviate the Crises of Confidence in Science - With an Application to the Public Goods Game," Artefactual Field Experiments 00684, The Field Experiments Website.
    13. Sönke Ehret & Sara M. Constantino & Elke U. Weber & Charles Efferson & Sonja Vogt, 2022. "Group Identities Make Fragile Tipping Points," CESifo Working Paper Series 9737, CESifo.
    14. Andraszewicz, Sandra & Friedman, Jason & Kaszás, Dániel & Hölscher, Christoph, 2023. "Zurich Trading Simulator (ZTS) — A dynamic trading experimental tool for oTree," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).
    15. Aldrich, Eric M. & Demirci, Hasan Ali & López Vargas, Kristian, 2020. "An oTree-based flexible architecture for financial market experiments," Journal of Behavioral and Experimental Finance, Elsevier, vol. 25(C).
    16. Nisvan Erkal & Lata Gangadharan & Boon Han Koh, 2022. "By chance or by choice? Biased attribution of others’ outcomes when social preferences matter," Experimental Economics, Springer;Economic Science Association, vol. 25(2), pages 413-443, April.
    17. Christian König-Kersting & Monique Pollmann & Jan Potters & Stefan T. Trautmann, 2021. "Good decision vs. good results: Outcome bias in the evaluation of financial agents," Theory and Decision, Springer, vol. 90(1), pages 31-61, February.
    18. Paul J. Ferraro & J. Dustin Tracy, 2022. "A reassessment of the potential for loss-framed incentive contracts to increase productivity: a meta-analysis and a real-effort experiment," Experimental Economics, Springer;Economic Science Association, vol. 25(5), pages 1441-1466, November.
    19. Alice Soldà & Changxia Ke & Lionel Page & William von Hippel, 2020. "Strategically delusional," Experimental Economics, Springer;Economic Science Association, vol. 23(3), pages 604-631, September.
    20. Blume, Andreas & Lai, Ernest K. & Lim, Wooyoung, 2023. "Mediated talk: An experiment," Journal of Economic Theory, Elsevier, vol. 208(C).

    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.