IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0200821.html
   My bibliography  Save this article

Long-term serial position effects in cue-based inference

Author

Listed:
  • Ashley Lawrence
  • Rick Thomas
  • Michael Dougherty

Abstract

An important theoretical question in decision making concerns the nature of cue-generation: What mechanism drives the generation of cues used to make inferences? Most models of decision making assume that the properties of cues, often cue validity, initiate a set of dynamic pre-decision processes. In two studies, we test how memory accessibility affects cue use by manipulating both ecological cue validity and cue accessibility in a stock-forecasting task. Cue accessibility was manipulated by the pattern of accurate cue discriminations within experiment blocks of the learning phase of the experiments. Specifically, we manipulated the serial positions in which the cues accurately discriminated while holding overall cue validity constant. At test, participants preferred cues that discriminated early in the learning phase—a kind of primacy effect. The findings suggest that cue use is influenced by memory retrieval mechanisms and that cue use is not solely determined by cue validity. The results have implications for the development of computational models of heuristic decision-making.

Suggested Citation

  • Ashley Lawrence & Rick Thomas & Michael Dougherty, 2018. "Long-term serial position effects in cue-based inference," PLOS ONE, Public Library of Science, vol. 13(7), pages 1-14, July.
  • Handle: RePEc:plo:pone00:0200821
    DOI: 10.1371/journal.pone.0200821
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0200821
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0200821&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0200821?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. repec:cup:judgdm:v:3:y:2008:i::p:215-228 is not listed on IDEAS
    2. Edgell, Stephen E. & Morrissey, John M., 1987. "Delayed exposure to additional relevant information in nonmetric multiple-cue probability learning," Organizational Behavior and Human Decision Processes, Elsevier, vol. 40(1), pages 22-38, August.
    3. Andreas Glöckner & Tilmann Betsch, 2008. "Modeling Option and Strategy Choices with Connectionist Networks: Towards an Integrative Model of Automatic and Deliberate Decision Making," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2008_02, Max Planck Institute for Research on Collective Goods.
    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. Arthi, Vellore & Parman, John, 2021. "Disease, downturns, and wellbeing: Economic history and the long-run impacts of COVID-19," Explorations in Economic History, Elsevier, vol. 79(C).

    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. Andreas Glöckner, 2009. "Investigating intuitive and deliberate processes statistically: The multiple-measure maximum likelihood strategy classification method," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 4(3), pages 186-199, April.
    2. António Madureira & Nico Baken & Harry Bouwman, 2011. "Value of digital information networks: a holonic framework," Netnomics, Springer, vol. 12(1), pages 1-30, April.
    3. Nina Horstmann & Andrea Ahlgrimm & Andreas Glöckner, 2009. "How Distinct are Intuition and Deliberation? An Eye-Tracking Analysis of Instruction-Induced Decision Modes," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2009_10, Max Planck Institute for Research on Collective Goods.
    4. Lena Nadarevic & Martin Schnuerch & Marlena J. Stegemann, 2021. "Judging fast and slow: The truth effect does not increase under time-pressure conditions," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 16(5), pages 1234-1266, September.
    5. repec:cup:judgdm:v:4:y:2009:i:4:p:297-306 is not listed on IDEAS
    6. Iles, Richard & Gatumu, Haniel & Kagunda, Samuel, 2019. "The role of poverty on economic decision-making: a model of cognitive function and heuristic use," Working Papers 2019-3, School of Economic Sciences, Washington State University.
    7. Marc Jekel & Susann Fiedler & Andreas Glockner, 2011. "Diagnostic task selection for strategy classification in judgment and decision making," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 6(8), pages 782-799, December.
    8. Sabrina Berens & Joachim Funke, 2020. "A vignette study of option refusal and decision deferral as two forms of decision avoidance: Situational and personal predictors," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-25, October.
    9. Andreas Glöckner & Stephan Dickert, 2008. "Base-rate Respect by Intuition: Approximating Rational Choices in Base-rate Tasks with Multiple Cues," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2008_49, Max Planck Institute for Research on Collective Goods.
    10. Christoph Engel & Andreas Glöckner, 2008. "Can We Trust Intuitive Jurors? An Experimental Analysis," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2008_36, Max Planck Institute for Research on Collective Goods.
    11. Christoph Engel, 2010. "The Multiple Uses of Experimental Evidence in Legal Scholarship," Journal of Institutional and Theoretical Economics (JITE), Mohr Siebeck, Tübingen, vol. 166(1), pages 199-202, March.
    12. Julian N. Marewski & Katja Mehlhorn, 2011. "Using the ACT-R architecture to specify 39 quantitative process models of decision making," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 6(6), pages 439-519, August.
    13. repec:cup:judgdm:v:16:y:2021:i:6:p:1324-1369 is not listed on IDEAS
    14. Ben Newell & Arndt Bröder, 2008. "Cognitive processes, models and metaphors in decision research," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 3, pages 195-204, March.
    15. repec:cup:judgdm:v:3:y:2008:i::p:205-214 is not listed on IDEAS
    16. Julian N. Marewski & Rudiger F. Pohl & Oliver Vitouch, 2011. "Recognition-based judgments and decisions: Introduction to the special issue (II)," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 6(1), pages 1-6, February.
    17. A. Madureira & F. Hartog & N. Baken, 2016. "A holonic framework to understand and apply information processes in evolutionary economics: survey and proposal," Netnomics, Springer, vol. 17(2), pages 157-190, September.
    18. repec:cup:judgdm:v:4:y:2009:i:7:p:587-600 is not listed on IDEAS
    19. Anne-Sophie Chaxel & J. Edward Russo & Neda Kerimi, 2013. "Preference-driven biases in decision makers' information search and evaluation," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 8(5), pages 561-576, September.
    20. repec:cup:judgdm:v:13:y:2018:i:1:p:1-22 is not listed on IDEAS
    21. repec:cup:judgdm:v:3:y:2008:i::p:195-204 is not listed on IDEAS
    22. repec:cup:judgdm:v:4:y:2009:i:5:p:335-354 is not listed on IDEAS
    23. Andreas Gloeckner & Steffen Moritz, 2009. "A fine-grained analysis of the jumping-to-conclusions bias in schizophrenia: Data-gathering, response confidence, and information integration}," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 4(7), pages 587-600, December.
    24. repec:cup:judgdm:v:8:y:2013:i:5:p:561-576 is not listed on IDEAS
    25. Marta Castela & Edgar Erdfelder, 2017. "Further evidence for the memory state heuristic: Recognition latency predictions for binary inferences," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 12(6), pages 537-552, November.
    26. Glöckner, Andreas & Betsch, Tilmann, 2008. "Do people make decisions under risk based on ignorance? An empirical test of the priority heuristic against cumulative prospect theory," Organizational Behavior and Human Decision Processes, Elsevier, vol. 107(1), pages 75-95, September.
    27. Lutz Bornmann & Julian N. Marewski, 2019. "Heuristics as conceptual lens for understanding and studying the usage of bibliometrics in research evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 419-459, August.
    28. repec:cup:judgdm:v:6:y:2011:i:8:p:711-721 is not listed on IDEAS
    29. Andreas Glöckner & Christoph Engel, 2010. "Role Induced Bias in Court: An Experimental Analysis," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2010_37, Max Planck Institute for Research on Collective Goods, revised Jan 2012.

    More about this item

    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:plo:pone00:0200821. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.