IDEAS home Printed from https://ideas.repec.org/a/now/jnlrbe/105.00000081.html
   My bibliography  Save this article

A Flexible and Customizable Method for Assessing Cognitive Abilities

Author

Listed:
  • Civelli, Andrea
  • Deck, Cary

Abstract

This paper describes the properties of a set of puzzles that are behaviorally similar to those of the common Raven Progressive Matrix test. Our puzzles consist of a three-by-three grid of images with the lower right element omitted. Each image is characterized by six characteristics that can vary along several patterns. Lab experiments demonstrate that the puzzles become more challenging as the number of characteristics that change increases. Further, the ability to correctly solve our puzzles is shown to be correlated with scores on the Raven Progressive Matrix test and with performance in a beauty contest game. Due to the manner in which our puzzles are constructed, there are a large number of unique puzzles that can be generated for use in economics experiments using software described in the paper. Thus our puzzles are well suited for use as an alternative method to assess the cognitive ability of respondents and for use as a real effort task with multiple levels of cognitive difficulty.

Suggested Citation

  • Civelli, Andrea & Deck, Cary, 2018. "A Flexible and Customizable Method for Assessing Cognitive Abilities," Review of Behavioral Economics, now publishers, vol. 5(2), pages 123-147, September.
  • Handle: RePEc:now:jnlrbe:105.00000081
    DOI: 10.1561/105.00000081
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1561/105.00000081
    Download Restriction: no

    File URL: https://libkey.io/10.1561/105.00000081?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
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Carpenter, Jeffrey & Graham, Michael & Wolf, Jesse, 2013. "Cognitive ability and strategic sophistication," Games and Economic Behavior, Elsevier, vol. 80(C), pages 115-130.
    2. Al-Ubaydli, Omar & Jones, Garett & Weel, Jaap, 2016. "Average player traits as predictors of cooperation in a repeated prisoner's dilemma," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 64(C), pages 50-60.
    3. Cueva, Carlos & Rustichini, Aldo, 2015. "Is financial instability male-driven? Gender and cognitive skills in experimental asset markets," Journal of Economic Behavior & Organization, Elsevier, vol. 119(C), pages 330-344.
    4. Benito-Ostolaza, Juan M. & Hernández, Penélope & Sanchis-Llopis, Juan A., 2016. "Do individuals with higher cognitive ability play more strategically?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 64(C), pages 5-11.
    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. Ji Yong Lee & Rodolfo M. Nayga & Cary Deck & Andreas C. Drichoutis, 2020. "Cognitive Ability and Bidding Behavior in Second Price Auctions: An Experimental Study," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(5), pages 1494-1510, October.
    2. Christoph Drobner, 2020. "Motivated Beliefs and Anticipation of Uncertainty Resolution," Munich Papers in Political Economy 07, Munich School of Politics and Public Policy and the School of Management at the Technical University of Munich.
    3. Deck, Cary & Jahedi, Salar & Sheremeta, Roman, 2021. "On the consistency of cognitive load," European Economic Review, Elsevier, vol. 134(C).
    4. Brice Corgnet & Cary Deck & Mark DeSantis & David Porter, 2022. "Forecasting Skills in Experimental Markets: Illusion or Reality?," Management Science, INFORMS, vol. 68(7), pages 5216-5232, July.
    5. Heinke, Steve & Olschewski, Sebastian & Rieskamp, Jörg, 2022. "Experiences and Asset Price Dynamics," VfS Annual Conference 2022 (Basel): Big Data in Economics 264017, Verein für Socialpolitik / German Economic Association.
    6. Andrea Civelli & Cary Deck & Justin D. LeBlanc & Antonella Tutino, 2018. "Rationally Inattentive Consumer: An Experiment," Working Papers 1813, Federal Reserve Bank of Dallas.
    7. Deck, Cary & Pate, Jennifer, 2022. "High time to study the relationship between marijuana use and economic behavior," Journal of Economic Behavior & Organization, Elsevier, vol. 198(C), pages 1-14.

    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. Duffy, Sean & Naddeo, JJ & Owens, David & Smith, John, 2016. "Cognitive load and mixed strategies: On brains and minimax," MPRA Paper 71878, University Library of Munich, Germany.
    2. Brañas-Garza, Pablo & Smith, John, 2016. "Cognitive abilities and economic behavior," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 64(C), pages 1-4.
    3. Nobuyuki Hanaki & Eizo Akiyama & Yukihiko Funaki & Ryuichiro Ishikawa, 2017. "Diversity in Cognitive Ability Enlarges Mispricing in Experimental Asset Markets," GREDEG Working Papers 2017-08, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    4. Konrad Grabiszewski & Alex Horenstein, 2022. "Profiling dynamic decision-makers," PLOS ONE, Public Library of Science, vol. 17(4), pages 1-22, April.
    5. Lohse, Johannes, 2016. "Smart or selfish – When smart guys finish nice," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 64(C), pages 28-40.
    6. Etienne Dagorn & David Masclet & Thierry Penard, 2022. "The Behavioral Determinants of School Achievement: A Lab in the Field Experiment in Middle School," Economics Working Paper Archive (University of Rennes 1 & University of Caen) 2022-05, Center for Research in Economics and Management (CREM), University of Rennes 1, University of Caen and CNRS.
    7. Tetsuya Kawamura & Tiffany Tsz Kwan Tse, 2022. "Intelligence promotes cooperation in long-term interaction: experimental evidence in infinitely repeated public goods games," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(4), pages 927-946, October.
    8. Grabiszewski, Konrad & Horenstein, Alex, 2022. "Measuring tree complexity with response times," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 98(C).
    9. Butler, David & Cheung, Stephen L., 2018. "Mind, Body, Bubble! Psychological and Biophysical Dimensions of Behavior in Experimental Asset Markets," IZA Discussion Papers 11563, Institute of Labor Economics (IZA).
    10. Cooper, Kristen & Schneider, Henry & Waldman, Michael, 2021. "Limited rationality and the strategic environment: Further evidence from a pricing game," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 90(C).
    11. Juan M. Benito-Ostolaza & Penélope Hernández & Juan A. Sanchis-Llopis, 2015. "Are individuals with higher cognitive ability expected to play more strategically?," Working Papers 1507, Department of Applied Economics II, Universidad de Valencia.
    12. Flannery, Timothy & Sibert, Cara Elisabeth, 2019. "Learning from Forced Completion vs the Option to Opt Out: An Experiment on a Hybrid of the Game of 21 and the Centipede Game," OSF Preprints vfuqw, Center for Open Science.
    13. Maran, Thomas & Ravet-Brown, Theo & Angerer, Martin & Furtner, Marco & Huber, Stefan E., 2020. "Intelligence predicts choice in decision-making strategies," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 84(C).
    14. Marquardt, Philipp & Noussair, Charles N & Weber, Martin, 2019. "Rational expectations in an experimental asset market with shocks to market trends," European Economic Review, Elsevier, vol. 114(C), pages 116-140.
    15. Oren Bar-Gill & Christoph Engel, 2020. "Property is Dummy Proof: An Experiment," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2020_02, Max Planck Institute for Research on Collective Goods.
    16. Nobuyuki Hanaki & Eizo Akiyama & Yukihiko Funaki & Ryuichiro Ishikawa, 2015. "Diversity in Cognitive Ability Enlarges Mispricing," GREDEG Working Papers 2015-29, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    17. Timothy Flannery & Cara Sibert, 2022. "Learning from Forced Completion vs. the Option to Opt Out," Review of Behavioral Economics, now publishers, vol. 9(1), pages 65-102, April.
    18. Douglas Davis & Asen Ivanov & Oleg Korenok, 2016. "Individual characteristics and behavior in repeated games: an experimental study," Experimental Economics, Springer;Economic Science Association, vol. 19(1), pages 67-99, March.
    19. Ciril Bosch-Rosa & Thomas Meissner & Antoni Bosch-Domènech, 2018. "Cognitive bubbles," Experimental Economics, Springer;Economic Science Association, vol. 21(1), pages 132-153, March.
    20. Nobuyuki Hanaki & Nicolas Jacquemet & Stéphane Luchini & Adam Zylbersztejn, 2016. "Cognitive ability and the effect of strategic uncertainty," Theory and Decision, Springer, vol. 81(1), pages 101-121, June.

    More about this item

    Keywords

    Cognitive Abilities Tests; Raven’s Matrices; Experimental Economics Tools;
    All these keywords.

    JEL classification:

    • C9 - Mathematical and Quantitative Methods - - Design of Experiments
    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual 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:now:jnlrbe:105.00000081. 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: Lucy Wiseman (email available below). General contact details of provider: http://www.nowpublishers.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.