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

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  • 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
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    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. 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.
    4. repec:cup:judgdm:v:5:y:2010:i:5:p:411-419 is not listed on IDEAS
    5. 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.
    6. 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.
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    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

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