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LIONESS Lab: a free web-based platform for conducting interactive experiments online

Author

Listed:
  • Marcus Giamattei

    (University of Passau
    University of Nottingham
    Bard College Berlin)

  • Kyanoush Seyed Yahosseini

    (Max Planck Institute for Human Development)

  • Simon Gächter

    (University of Nottingham
    Institute of Labour Economics
    Center for Economic Studies)

  • Lucas Molleman

    (University of Nottingham
    Max Planck Institute for Human Development
    University of Amsterdam)

Abstract

LIONESS Lab is a free web-based platform for interactive online experiments. An intuitive, user-friendly graphical interface enables researchers to develop, test, and share experiments online, with minimal need for programming experience. LIONESS Lab provides solutions for the methodological challenges of interactive online experimentation, including ways to reduce waiting time, form groups on-the-fly, and deal with participant dropout. We highlight key features of the software, and show how it meets the challenges of conducting interactive experiments online.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:jesaex:v:6:y:2020:i:1:d:10.1007_s40881-020-00087-0
    DOI: 10.1007/s40881-020-00087-0
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    References listed on IDEAS

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    Full references (including those not matched with items on IDEAS)

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    5. Ben Grodeck & Philip J. Grossman, 2022. "Thumbs Down for the Thumbs Up Emoji: Experimental Evidence on the Impact of Instantaneous Positive Reinforcement on Charitable Giving," Monash Economics Working Papers 2022-01, Monash University, Department of Economics.
    6. Hansson, Kajsa & Persson, Emil & Davidai, Shai & Tinghög, Gustav, 2021. "Losing sense of fairness: How information about a level playing field reduces selfish behavior," Journal of Economic Behavior & Organization, Elsevier, vol. 190(C), pages 66-75.
    7. Francesco Fallucchi & Daniele Nosenzo, 2022. "The coordinating power of social norms," Experimental Economics, Springer;Economic Science Association, vol. 25(1), pages 1-25, February.
    8. Anthony Lepinteur & Giorgia Menta & Sofie R. Waltl, 2023. "Equal Price for Equal Place? Demand-Driven Racial Discrimination in the Housing Market," LISER Working Paper Series 2023-09, Luxembourg Institute of Socio-Economic Research (LISER).
    9. Malte Baader & Simon Gaechter & Kyeongtae Lee & Martin Sefton, 2022. "Social preferences and the variability of conditional cooperation," Discussion Papers 2022-13, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    10. Isler, Ozan & Gächter, Simon, 2022. "Conforming with peers in honesty and cooperation," Journal of Economic Behavior & Organization, Elsevier, vol. 195(C), pages 75-86.
    11. Simon Gaechter & Kyeongtae Lee & Martin Sefton & Till O. Weber, 2021. "Risk, Temptation, and Efficiency in the One-Shot Prisoner's Dilemma," CESifo Working Paper Series 9449, CESifo.
    12. Sanjit Dhami & Narges Hajimoladarvish, 2020. "Mental Accounting, Loss Aversion, and Tax Evasion: Theory and Evidence," CESifo Working Paper Series 8606, CESifo.
    13. Simon Gaechter & Kyeongtae Lee & Martin Sefton, 2022. "The Variability of Conditional Cooperation in Sequential Prisoner's Dilemmas," Discussion Papers 2022-10, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    14. Francesco Fallucchi & Marc Kaufmann, 2021. "Narrow Bracketing in Work Choices," Papers 2101.04529, arXiv.org, revised Feb 2021.
    15. Xinyu Li & Marco Haan & Sander Onderstal & Jasper Veldman, 2023. "A Wind Tunnel Test of Wind Farm Auctions," Tinbergen Institute Discussion Papers 23-046/VII, Tinbergen Institute.
    16. Harpenau, Franziska & Magalhaes, Katrin Marques & Steffen, Nico & Wiewiorra, Lukas, 2023. "Saving behaviors of private households under varying tariff structures, price levels and incentives - Experimental evidence," WIK Working Papers 7, WIK Wissenschaftliches Institut für Infrastruktur und Kommunikationsdienste GmbH, Bad Honnef.
    17. Grodeck, Ben & Schoenegger, Philipp, 2023. "Demanding the morally demanding: Experimental evidence on the effects of moral arguments and moral demandingness on charitable giving," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 103(C).
    18. Sanjit Dhami & Narges Hajimoladarvish & Konstantinos Georgalos, 2023. "Precautionary Savings, Loss Aversion, and Risk: Theory and Evidence," CESifo Working Paper Series 10570, CESifo.
    19. Irene Maria Buso & Daniela Di Cagno & Lorenzo Ferrari & Vittorio Larocca & Luisa Lorè & Francesca Marazzi & Luca Panaccione & Lorenzo Spadoni, 2021. "Lab-like findings from online experiments," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 7(2), pages 184-193, December.
    20. Fourberg, Niklas & Taş, Serpil & Wiewiorra, Lukas, 2021. "My browser is not a billboard: Experimental evidence on ad-blocking adoption and users' acquisition of information," WIK Working Papers 1, WIK Wissenschaftliches Institut für Infrastruktur und Kommunikationsdienste GmbH, Bad Honnef.
    21. Xueheng Li & Lucas Molleman & Dennie van Dolder, 2020. "Conditional punishment: Descriptive social norms drive negative reciprocity," Discussion Papers 2020-05, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    22. Anna Hochleitner, 2022. "Fairness in times of crisis: Negative shocks, relative income and preferences for redistribution," Discussion Papers 2022-08, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.

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    More about this item

    Keywords

    Experimental software; Interactive online experiments; Experimental standards;
    All these keywords.

    JEL classification:

    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General

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