Abstract
Eyewitness identification is a pivotal issue in applied research because, in practice, a correct identification can help to remove a dangerous criminal from society, but a false identification can lead to the erroneous conviction of an innocent suspect. Consequently, psychologists have tried to ascertain the best procedures for collecting identification evidence, evaluating them using measures based on the ratio of correct to false identification rates. Unfortunately, ratio-based measures are ambiguous because they change systematically as a function of a witness's willingness to choose. In other words, a measure thought to index discriminability is instead fully confounded with response bias. A better method involves constructing receiver operating characteristic (ROC) curves. Using ROC curves, researchers can trace out discriminability across levels of response bias for each procedure. We illustrate the shortcomings of ratio-based measures and demonstrate why ROC analysis is required. In recent studies, researchers comparing simultaneous and sequential lineup procedures using ROC analyses have provided no evidence for the sequential superiority effect and instead have shown that the simultaneous procedure may be diagnostically superior. It is not yet clear which lineup procedure will prove to be generally superior, but it is clear that ROC analysis is the only way to make that determination.
| Original language | English |
|---|---|
| Pages (from-to) | 3-10 |
| Number of pages | 8 |
| Journal | Current Directions in Psychological Science |
| Volume | 23 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Feb 2014 |
Bibliographical note
Funding Information:Gronlund, S. D., Andersen, S. M., & Perry, C. (2013) . (See References). Review of the debate surrounding simultaneous and sequential lineups. Gronlund, S. D., Carlson, C. A., Neuschatz, J. S., Goodsell, C. A., Wetmore, S. A., Wooten, A., & Graham, M. (2012) . (See References). Receiver operating characteristic analysis evaluated performance from simultaneous and sequential lineups and showups. Mickes, L., Flowe, H. D., & Wixted, J. T. (2012) . (See References). Receiver operating characteristic analysis showed no evidence for sequential advantage. Wixted, J. T., & Mickes, L. (2012). The field of eyewitness memory should abandon “probative value” and embrace receiver operating characteristic analysis. Perspectives on Psychological Science, 7 , 275–278. Illustrates the limitations of ratio-based probative value measures and the advantages of receiver-operating-characteristic-based analysis of simultaneous and sequential lineup performance. Declaration of Conflicting Interests The authors declared that they had no conflicts of interest with respect to their authorship or the publication of this article. Funding This article was supported by National Science Foundation (NSF) Grants SES-1060902 to Scott D. Gronlund and SES-1155248 to John T. Wixted and Laura Mickes. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not reflect the views of the NSF. Supplemental Material Additional supporting information, including a tutorial on ROC analysis, may be found at http://cdp.sagepub.com/content/by/supplemental-data 1. One could simply compute d ′ from Lindsay and Wells’s (1985) data as a proxy for a full receiver operating characteristic (ROC) analysis; it shows a sequential advantage (1.58 vs. 0.61). Had it been performed, ROC analysis may have shown a sequential advantage as well. However, the only way to be certain about that is to actually perform ROC analysis, which is superior to computing d ′ because it is an assumption-free method. By contrast, d ′ is based on a specific model that applies to a standard single-item old/new recognition procedure, not to a lineup recognition procedure; d ′ also makes assumptions regarding normally distributed memory strength values. Although d ′ is almost certainly more informative than the more typically used diagnosticity ratio, it is less informative than ROC analysis. 2. There are several measures of probative value of a suspect ID that utilize the ratio of correct and false IDs in various configurations. All of these measures are subject to the criticism we level later in the article.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 16 Peace, Justice and Strong Institutions
Keywords
- diagnosticity ratio
- eyewitness identification
- probative value
- receiver operating characteristic (ROC) analysis
- simultaneous and sequential lineups
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