IDEAS home Printed from https://ideas.repec.org/a/wly/empleg/v10y2013i3p484-511.html
   My bibliography  Save this article

How Jurors Evaluate Fingerprint Evidence: The Relative Importance of Match Language, Method Information, and Error Acknowledgment

Author

Listed:
  • Brandon Garrett
  • Gregory Mitchell

Abstract

Fingerprint examiners use a variety of terms and phrases to describe a finding of a match between a defendant's fingerprints and fingerprint impressions collected from a crime scene. Despite the importance and ubiquity of fingerprint evidence in criminal cases, no prior studies examine how jurors evaluate such evidence. We present two studies examining the impact of different match phrases, method descriptions, and statements about possible examiner error on the weight given to fingerprint identification evidence by laypersons. In both studies, the particular phrase chosen to describe the finding of a match—whether simple and imprecise or detailed and claiming near certainty—had little effect on participants' judgments about the guilt of a suspect. In contrast, the examiner admitting the possibility of error reduced the weight given to the fingerprint evidence—regardless of whether the admission was made during direct or cross‐examination. In addition, the examiner providing information about the method used to make fingerprint comparisons reduced the impact of admitting the possibility of error. We found few individual differences in reactions to the fingerprint evidence across a wide range of participant variables, and we found widespread agreement regarding the uniqueness of fingerprints and the reliability of fingerprint identifications. Our results suggest that information about the reliability of fingerprint identifications will have a greater impact on lay interpretations of fingerprint evidence than the specific qualitative or quantitative terms chosen to describe a fingerprint match.

Suggested Citation

  • Brandon Garrett & Gregory Mitchell, 2013. "How Jurors Evaluate Fingerprint Evidence: The Relative Importance of Match Language, Method Information, and Error Acknowledgment," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 10(3), pages 484-511, September.
  • Handle: RePEc:wly:empleg:v:10:y:2013:i:3:p:484-511
    DOI: 10.1111/jels.12017
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/jels.12017
    Download Restriction: no

    File URL: https://libkey.io/10.1111/jels.12017?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. Andrea D. Gurmankin & Jonathan Baron & Katrina Armstrong, 2004. "The Effect of Numerical Statements of Risk on Trust and Comfort with Hypothetical Physician Risk Communication," Medical Decision Making, , vol. 24(3), pages 265-271, June.
    2. repec:cup:judgdm:v:5:y:2010:i:5:p:411-419 is not listed on IDEAS
    3. Isaac M. Lipkus & Greg Samsa & Barbara K. Rimer, 2001. "General Performance on a Numeracy Scale among Highly Educated Samples," Medical Decision Making, , vol. 21(1), pages 37-44, February.
    4. Brian J. Zikmund-Fisher & Dylan M. Smith & Peter A. Ubel & Angela Fagerlin, 2007. "Validation of the Subjective Numeracy Scale: Effects of Low Numeracy on Comprehension of Risk Communications and Utility Elicitations," Medical Decision Making, , vol. 27(5), pages 663-671, September.
    5. Valerie P. Hans & Valerie F. Reyna, 2011. "To Dollars from Sense: Qualitative to Quantitative Translation in Jury Damage Awards," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 8(s1), pages 120-147, December.
    6. D. H. Kaye & Jonathan J. Koehler, 1991. "Can Jurors Understand Probabilistic Evidence?," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 154(1), pages 75-81, January.
    7. Jonathan J. Koehler, 2011. "If the Shoe Fits They Might Acquit: The Value of Forensic Science Testimony," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 8(s1), pages 21-48, December.
    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. Yaniv Hanoch & Talya Miron-Shatz & Mary Himmelstein, 2010. "Genetic testing and risk interpretation: How do women understand lifetime risk results?," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 5(2), pages 116-123, April.
    2. Fasolo, Barbara & Bana e Costa, Carlos A., 2014. "Tailoring value elicitation to decision makers' numeracy and fluency: Expressing value judgments in numbers or words," Omega, Elsevier, vol. 44(C), pages 83-90.
    3. repec:cup:judgdm:v:5:y:2010:i:2:p:116-123 is not listed on IDEAS
    4. repec:cup:judgdm:v:4:y:2009:i:1:p:34-40 is not listed on IDEAS
    5. Garcia-Retamero, Rocio & Hoffrage, Ulrich, 2013. "Visual representation of statistical information improves diagnostic inferences in doctors and their patients," Social Science & Medicine, Elsevier, vol. 83(C), pages 27-33.
    6. Yaniv Hanoch & Jonathan Rolison & Alexandra M. Freund, 2019. "Reaping the Benefits and Avoiding the Risks: Unrealistic Optimism in the Health Domain," Risk Analysis, John Wiley & Sons, vol. 39(4), pages 792-804, April.
    7. Nicolas Eber & Patrick Roger & Tristan Roger, 2024. "Finance and intelligence: An overview of the literature," Journal of Economic Surveys, Wiley Blackwell, vol. 38(2), pages 503-554, April.
    8. repec:cup:judgdm:v:14:y:2019:i:4:p:412-422 is not listed on IDEAS
    9. Becky L. Choma & David Sumantry & Yaniv Hanoch, 2019. "Right-wing ideology and numeracy: A perception of greater ability, but poorer performance," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 14(4), pages 412-422, July.
    10. Marie-Anne Durand & Renata W Yen & James O’Malley & Glyn Elwyn & Julien Mancini, 2020. "Graph literacy matters: Examining the association between graph literacy, health literacy, and numeracy in a Medicaid eligible population," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-14, November.
    11. Wolfgang Gaissmaier & Kevin E. Tiede & Rocio Garcia-Retamero, 2023. "The Lure of Beauty: People Select Representations of Statistical Information Largely Based on Attractiveness, Not Comprehensibility," Medical Decision Making, , vol. 43(7-8), pages 774-788, October.
    12. Gretchen B. Chapman & Jingjing Liu, 2009. "Numeracy, frequency, and Bayesian reasoning," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 4(1), pages 34-40, February.
    13. Carmen Keller, 2011. "Using a Familiar Risk Comparison Within a Risk Ladder to Improve Risk Understanding by Low Numerates: A Study of Visual Attention," Risk Analysis, John Wiley & Sons, vol. 31(7), pages 1043-1054, July.
    14. Carmen Keller & Michael Siegrist & Vivianne Visschers, 2009. "Effect of Risk Ladder Format on Risk Perception in High‐ and Low‐Numerate Individuals," Risk Analysis, John Wiley & Sons, vol. 29(9), pages 1255-1264, September.
    15. Carissa Bonner & Lyndal J. Trevena & Wolfgang Gaissmaier & Paul K. J. Han & Yasmina Okan & Elissa Ozanne & Ellen Peters & Daniëlle Timmermans & Brian J. Zikmund-Fisher, 2021. "Current Best Practice for Presenting Probabilities in Patient Decision Aids: Fundamental Principles," Medical Decision Making, , vol. 41(7), pages 821-833, October.
    16. Fuchsman, Dillon & McGee, Josh B. & Zamarro, Gema, 2023. "Teachers’ willingness to pay for retirement benefits: A national stated preferences experiment," Economics of Education Review, Elsevier, vol. 92(C).
    17. Yun‐chien Chang & Theodore Eisenberg & Han‐Wei Ho & Martin T. Wells, 2015. "Pain and Suffering Damages in Wrongful Death Cases: An Empirical Study," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 12(1), pages 128-160, March.
    18. Fuchsman, Dillon & McGee, Josh & Zamarro, Gema, 2022. "Teachers’ Knowledge and Preparedness for Retirement: Results from a Nationally Representative Teacher Survey," Working Papers 21-5, Sinquefield Center for Applied Economic Research, Saint Louis University.
    19. Theresa Kuchler & Basit Zafar, 2019. "Personal Experiences and Expectations about Aggregate Outcomes," Journal of Finance, American Finance Association, vol. 74(5), pages 2491-2542, October.
    20. Ralph Stevens & Jennifer Alonso Garcia & Hazel Bateman & Arthur van Soest & Johan Bonekamp, 2022. "Saving preferences after retirement," ULB Institutional Repository 2013/342267, ULB -- Universite Libre de Bruxelles.
    21. Andrea D. Gurmankin & Jonathan Baron & Katrina Armstrong, 2004. "The Effect of Numerical Statements of Risk on Trust and Comfort with Hypothetical Physician Risk Communication," Medical Decision Making, , vol. 24(3), pages 265-271, June.
    22. Cathy Anne Pinto & Gin Nie Chua & John F. P. Bridges & Ella Brookes & Johanna Hyacinthe & Tommi Tervonen, 2022. "Comparing Patient Preferences for Antithrombotic Treatment During the Acute and Chronic Phases of Myocardial Infarction: A Discrete-Choice Experiment," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 15(2), pages 255-266, March.
    23. Atanasov, Pavel & Witkowski, Jens & Ungar, Lyle & Mellers, Barbara & Tetlock, Philip, 2020. "Small steps to accuracy: Incremental belief updaters are better forecasters," Organizational Behavior and Human Decision Processes, Elsevier, vol. 160(C), pages 19-35.

    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:wly:empleg:v:10:y:2013:i:3:p:484-511. 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: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1111/(ISSN)1740-1461 .

    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.