IDEAS home Printed from https://ideas.repec.org/a/spr/jesaex/v1y2015i1d10.1007_s40881-015-0004-4.html
   My bibliography  Save this article

Subject pool recruitment procedures: organizing experiments with ORSEE

Author

Listed:
  • Ben Greiner

    (University of New South Wales)

Abstract

This paper discusses aspects of recruiting subjects for economic laboratory experiments, and shows how the Online Recruitment System for Economic Experiments can help. The software package provides experimenters with a free, convenient, and very powerful tool to organize their experiments and sessions.

Suggested Citation

  • Ben Greiner, 2015. "Subject pool recruitment procedures: organizing experiments with ORSEE," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 1(1), pages 114-125, July.
    • Handle: RePEc:spr:jesaex:v:1:y:2015:i:1:d:10.1007_s40881-015-0004-4
    DOI: 10.1007/s40881-015-0004-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40881-015-0004-4
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s40881-015-0004-4?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
    ---><---

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

    References listed on IDEAS

    as
    1. Marco Casari & John C. Ham & John H. Kagel, 2007. "Selection Bias, Demographic Effects, and Ability Effects in Common Value Auction Experiments," American Economic Review, American Economic Association, vol. 97(4), pages 1278-1304, September.
    2. Blair Cleave & Nikos Nikiforakis & Robert Slonim, 2013. "Is there selection bias in laboratory experiments? The case of social and risk preferences," Experimental Economics, Springer;Economic Science Association, vol. 16(3), pages 372-382, September.
    3. Michal Krawczyk, 2011. "What brings your subjects to the lab? A field experiment," Natural Field Experiments 00694, The Field Experiments Website.
    4. Harrison, Glenn W. & Lau, Morten I. & Elisabet Rutström, E., 2009. "Risk attitudes, randomization to treatment, and self-selection into experiments," Journal of Economic Behavior & Organization, Elsevier, vol. 70(3), pages 498-507, June.
    5. Michal Krawczyk, 2011. "What brings your subjects to the lab? A field experiment," Experimental Economics, Springer;Economic Science Association, vol. 14(4), pages 482-489, November.
    6. Armin Falk & Stephan Meier & Christian Zehnder, 2013. "Do Lab Experiments Misrepresent Social Preferences? The Case Of Self-Selected Student Samples," Journal of the European Economic Association, European Economic Association, vol. 11(4), pages 839-852, August.
    7. Slonim, Robert & Wang, Carmen & Garbarino, Ellen & Merrett, Danielle, 2013. "Opting-in: Participation bias in economic experiments," Journal of Economic Behavior & Organization, Elsevier, vol. 90(C), pages 43-70.
    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. Frijters, Paul & Kong, Tao Sherry & Liu, Elaine M., 2015. "Who is coming to the artefactual field experiment? Participation bias among Chinese rural migrants," Journal of Economic Behavior & Organization, Elsevier, vol. 114(C), pages 62-74.
    2. Schmidt, Robert & Schwieren, Christiane & Sproten, Alec N., 2020. "Norms in the lab: Inexperienced versus experienced participants," Journal of Economic Behavior & Organization, Elsevier, vol. 173(C), pages 239-255.
    3. Schmidt, Robert J. & Schwieren, Christiane & Sproten, Alec N., 2018. "Social Norm Perception in Economic Laboratory Experiments: Inexperienced versus Experienced Participants," Working Papers 0656, University of Heidelberg, Department of Economics.
    4. Matteo M. Galizzi & Daniel Navarro-Martinez, 2019. "On the External Validity of Social Preference Games: A Systematic Lab-Field Study," Management Science, INFORMS, vol. 65(3), pages 976-1002, March.
    5. Johannes Abeler & Daniele Nosenzo, 2015. "Self-selection into laboratory experiments: pro-social motives versus monetary incentives," Experimental Economics, Springer;Economic Science Association, vol. 18(2), pages 195-214, June.
    6. Jonathan Schulz & Uwe Sunde & Petra Thiemann & Christian Thoeni, 2019. "Selection into Experiments: Evidence from a Population of Students," Discussion Papers 2019-09, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    7. Thiemann, Petra & Schulz, Jonathan & Sunde, Uwe & Thöni, Christian, 2022. "Selection into experiments: New evidence on the role of preferences, cognition, and recruitment protocols," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 98(C).
    8. Thomas Epper & Julien Senn & Ernst Fehr, 2023. "Social preferences across subject pools: students vs. general population," ECON - Working Papers 435, Department of Economics - University of Zurich, revised Jan 2024.
    9. Volker Benndorf & Claudia Moellers & Hans-Theo Normann, 2017. "Experienced vs. inexperienced participants in the lab: do they behave differently?," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 3(1), pages 12-25, July.
    10. Noemí Herranz-Zarzoso & Gerardo Sabater-Grande, 2020. "Self-selection bias in a field experiment: Recruiting subjects under different payment schemes," Working Papers 2020/13, Economics Department, Universitat Jaume I, Castellón (Spain).
    11. A. Alekseev & Mikhail Freer, 2018. "Selection in the Lab: A Network Approach," Working Papers ECARES 2018-32, ULB -- Universite Libre de Bruxelles.
    12. Mongoljin Batsaikhan, 2017. "Trust, Trustworthiness, And Business Success: Lab And Field Findings From Entrepreneurs," Economic Inquiry, Western Economic Association International, vol. 55(1), pages 368-382, January.
    13. Aurélie Dariel & Nikos Nikiforakis & Jan Stoop, 2020. "Does selection bias cause us to overestimate gender differences in competitiveness?," Working Papers 20200046, New York University Abu Dhabi, Department of Social Science, revised May 2020.
    14. Kesternich, Iris & Schumacher, Heiner & Siflinger, Bettina & Valder, Franziska, 2022. "Reservation wages and labor supply," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 583-607.
    15. Thomas Epper & Julien Senn & Ernst Fehr, 2023. "The Missing Type: Where Are the Inequality Averse (Students)?," Working Papers 2023-iRisk-06, IESEG School of Management.
    16. Loukas Balafoutas & Helena Fornwagner, 2017. "The limits of guilt," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 3(2), pages 137-148, December.
    17. Glenn W. Harrison & Morten I. Lau & Hong Il Yoo, 2020. "Risk Attitudes, Sample Selection, and Attrition in a Longitudinal Field Experiment," The Review of Economics and Statistics, MIT Press, vol. 102(3), pages 552-568, July.
    18. Kamas, Linda & Preston, Anne, 2016. "Are we underestimating inequality aversion? Comparing recruited and classroom subjects," Economics Letters, Elsevier, vol. 147(C), pages 157-159.
    19. Mirco Tonin & Michael Vlassopoulos, 2015. "Corporate Philanthropy and Productivity: Evidence from an Online Real Effort Experiment," Management Science, INFORMS, vol. 61(8), pages 1795-1811, August.
    20. 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.

    More about this item

    Keywords

    Laboratory experiments; Subject recruitment; Software;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General

    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:spr:jesaex:v:1:y:2015:i:1:d:10.1007_s40881-015-0004-4. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.