Neal, Tess

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.

Examinations of trust have advanced steadily over the past several decades, yielding important insights within criminal justice, economics, environmental studies, management and industrial organization, psychology, political science, and sociology. Cross-disciplinary approaches to the study of trust, however, have been limited by differences in defining and measuring trust and in methodological approaches. In this chapter, we take the position that: 1) cross-disciplinary studies can be improved by recognizing trust as a multilevel phenomenon, and 2) context impacts the nature of trusting relations. We present an organizing framework for conceptualizing trust between trustees and trustors at person, group, and institution levels. The differences between these levels have theoretical implications for the study of trust and that might be used to justify distinctions in definitions and methodological approaches across settings. We highlight where the levels overlap and describe how this overlap has created confusion in the trust literature to date. Part of the overlap – and confusion – is the role of interpersonal trust at each level. We delineate when and how interpersonal trust is theoretically relevant to conceptualizing and measuring trust at each level and suggest that other trust-related constructs, such as perceived legitimacy, competence, and integrity, may be more important than interpersonal trust at some levels and in some contexts. Translating findings from trust research in one discipline to another and collaborating across disciplines may be facilitated if researchers ensure that their levels of conceptualization and measurement are aligned, and that models developed for a particular context are relevant in other, distinct contexts.