Literature DB >> 24814330

On the interpretation of likelihood ratios in forensic science evidence: Presentation formats and the weak evidence effect.

K A Martire1, R I Kemp2, M Sayle2, B R Newell2.   

Abstract

Likelihood ratios are increasingly being adopted to convey expert evaluative opinions to courts. In the absence of appropriate databases, many of these likelihood ratios will include verbal rather than numerical estimates of the support offered by the analysis. However evidence suggests that verbal formulations of uncertainty are a less effective form of communication than equivalent numerical formulations. Moreover, when evidence strength is low a misinterpretation of the valence of the evidence - a "weak evidence effect" - has been found. We report the results of an experiment involving N=404 (student and online) participants who read a brief summary of a burglary trial containing expert testimony. The expert evidence was varied across conditions in terms of evidence strength (low or high) and presentation method (numerical, verbal, table or visual scale). Results suggest that of these presentation methods, numerical expressions produce belief-change and implicit likelihood ratios which were most commensurate with those intended by the expert and most resistant to the weak evidence effect. These findings raise questions about the extent to which low strength verbal evaluative opinions can be effectively communicated to decision makers at trial.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Communicating uncertainty; Evidence interpretation; Expert evaluative opinions; Likelihood ratios

Mesh:

Year:  2014        PMID: 24814330     DOI: 10.1016/j.forsciint.2014.04.005

Source DB:  PubMed          Journal:  Forensic Sci Int        ISSN: 0379-0738            Impact factor:   2.395


  4 in total

1.  Modelling the effects of crime type and evidence on judgments about guilt.

Authors:  John M Pearson; Jonathan R Law; Jesse A G Skene; Donald H Beskind; Neil Vidmar; David A Ball; Artemis Malekpour; R McKell Carter; J H Pate Skene
Journal:  Nat Hum Behav       Date:  2018-10-29

Review 2.  Cognitive and human factors in legal layperson decision making: Sources of bias in juror decision making.

Authors:  Lee J Curley; James Munro; Itiel E Dror
Journal:  Med Sci Law       Date:  2022-02-17       Impact factor: 2.051

Review 3.  Juror comprehension of forensic expert testimony: A literature review and gap analysis.

Authors:  Heidi Eldridge
Journal:  Forensic Sci Int       Date:  2019-03-09       Impact factor: 2.395

4.  Must the random man be unrelated? A lingering misconception in forensic genetics.

Authors:  Emmanuel Milot; Simon Baechler; Frank Crispino
Journal:  Forensic Sci Int       Date:  2019-11-12       Impact factor: 2.395

  4 in total

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