Tess Neal is an Assistant Professor of Psychology in the ASU New College of Interdisciplinary Arts and Sciences and is a founding faculty member of the [Program on Law and Behavioral Science](http://lawpsych.asu.edu/). Dr. Neal has published one edited book and more than three dozen peer-reviewed publications in such journals as PLOS ONE; American Psychologist; Psychology, Public Policy, and Law; and Criminal Justice and Behavior. Neal is the recipient of the 2016 Saleem Shah Award for Early Career Excellence in Psychology and Law, co-awarded by the American Psychology-Law Society and the American Academy of Forensic Psychology. She was named a 2016 "Rising Star" by the Association for Psychological Science, a designation that recognizes outstanding psychological scientists in the earliest stages of their research career post-PhD "whose innovative work has already advanced the field and signals great potential for their continued contributions." She directs the ASU [Clinical and Legal Judgment Lab](http://psych-law.lab.asu.edu).

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This project began as an attempt to develop systematic, measurable indicators of bias in written forensic mental health evaluations focused on the issue of insanity. Although forensic clinicians observed in this study did vary systematically in their report-writing behaviors on several of the indicators of interest, the data are most

This project began as an attempt to develop systematic, measurable indicators of bias in written forensic mental health evaluations focused on the issue of insanity. Although forensic clinicians observed in this study did vary systematically in their report-writing behaviors on several of the indicators of interest, the data are most useful in demonstrating how and why bias is hard to ferret out. Naturalistic data was used in this project (i.e., 122 real forensic insanity reports), which in some ways is a strength. However, given the nature of bias and the problem of inferring whether a particular judgment is biased, naturalistic data also made arriving at conclusions about bias difficult. This paper describes the nature of bias – including why it is a special problem in insanity evaluations – and why it is hard to study and document. It details the efforts made in an attempt to find systematic indicators of potential bias, and how this effort was successful in part but also how and why it failed. The lessons these efforts yield for future research are described. We close with a discussion of the limitations of this study and future directions for work in this area.

ContributorsNeal, Tess M.S. (Author)
Created2018-04-19
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We investigated the role of moral disengagement in a legally‐relevant judgment in this theoretically‐driven empirical analysis. Moral disengagement is a social‐cognitive phenomenon through which people reason their way toward harming others, presenting a useful framework for investigating legal judgments that often result in harming individuals for the good of society.

We investigated the role of moral disengagement in a legally‐relevant judgment in this theoretically‐driven empirical analysis. Moral disengagement is a social‐cognitive phenomenon through which people reason their way toward harming others, presenting a useful framework for investigating legal judgments that often result in harming individuals for the good of society. We tested the role of moral disengagement in forensic psychologists’ willingness to conduct the most ethically questionable clinical task in the criminal justice system: competence for execution evaluations. Our hypothesis that moral disengagement would function as mediator of participants’ existing attitudes and their judgments—a theoretical “bridge” between attitudes and judgments—was robustly supported. Moral disengagement was key to understanding how psychologists decide to engage in competence for execution evaluations. We describe in detail the moral disengagement measure we used, including exploratory and confirmatory factor analyses across two separate samples. The four‐factor measure accounted for a total of 52.18 percent of the variance in the sample of forensic psychologists, and the model adequately fit the data in the entirely different sample of jurors in a confirmatory factor analysis. Despite the psychometric strengths of this moral disengagement measure, we describe the pros and cons of existing measures of moral disengagement. We outline future directions for moral disengagement research, especially in legal contexts.

ContributorsNeal, Tess M.S. (Author) / Cramer, Robert J. (Author)
Created2017-11-07