Faculty and Staff

We integrate multiple domains of psychological science to identify, better understand, and manage the effects of subtle but powerful biases in forensic mental health assessment. This topic is ripe for discussion, as research evidence that challenges our objectivity and credibility garners increased attention both within and outside of psychology. We begin by defining bias and provide rich examples from the judgment and decision making literature as they might apply to forensic assessment tasks. The cognitive biases we review can help us explain common problems in interpretation and judgment that confront forensic examiners. This leads us to ask (and attempt to answer) how we might use what we know about bias in forensic clinicians’ judgment to reduce its negative effects.

We conducted an international survey in which forensic examiners who were members of professional associations described their two most recent forensic evaluations (N=434 experts, 868 cases), focusing on the use of structured assessment tools to aid expert judgment. This study describes:

1. The relative frequency of various forensic referrals.
2. What tools are used globally.
3. Frequency and type of structured tools used.
4. Practitioners’ rationales for using/not using tools.

We provide general descriptive information for various referrals. We found most evaluations used tools (74.2%) and used several (on average 4). We noted the extreme variety in tools used (286 different tools). We discuss the implications of these findings and provide suggestions for improving the reliability and validity of forensic expert judgment methods. We conclude with a call for an assessment approach that seeks structured decision methods to advance greater efficiency in the use and integration of case-relevant information.

This chapter integrates from cognitive neuroscience, cognitive psychology, and social psychology the basic science of bias in human judgment as relevant to judgments and decisions by forensic mental health professionals. Forensic mental health professionals help courts make decisions in cases when some question of psychology pertains to the legal issue, such as in insanity cases, child custody hearings, and psychological injuries in civil suits. The legal system itself and many people involved, such as jurors, assume mental health experts are “objective” and untainted by bias. However, basic psychological science from several branches of the discipline suggest the law’s assumption about experts’ protection from bias is wrong. Indeed, several empirical studies now show clear evidence of (unintentional) bias in forensic mental health experts’ judgments and decisions. In this chapter, we explain the science of how and why human judgments are susceptible to various kinds of bias. We describe dual-process theories from cognitive neuroscience, cognitive psychology, and social psychology that can help explain these biases. We review the empirical evidence to date specifically about cognitive and social psychological biases in forensic mental health judgments, weaving in related literature about biases in other types of expert judgment, with hypotheses about how forensic experts are likely affected by these biases. We close with a discussion of directions for future research and practice.

Objectives: While PhD dissertations are typically accessible as part of a university library’s general collection, or as content within a proprietary database, many other terminal degree projects remain invisible and inaccessible to a greater audience. This poster will describe the development and creation of a digital repository collection containing doctor of nursing practice (DNP) student’s final projects.

Methods: The “Doctor of Nursing Practice (DNP) Final Projects Collection” was created over the course of one semester and included initial discussions with program faculty and administrators, the creation of a student consent form, the development of a process for adding student work to the repository collection, and a presentation to graduating students. This poster will describe the process in more detail, discuss benefits and challenges, as well as highlight the considerations to keep in mind when developing and creating a digital collection of student work. Additionally, best practices and lessons learned will also be described to provide valuable information to others considering creating this type of collection at their own institution.

Results: At the end of the first semester of implementation, twenty student projects existed in our public collection. On the whole, both faculty and students were pleased to have a collection highlighting the work being done in their program. Valuable lessons were learned that can be applied in the next semester of implementation. Specifically, metadata consistency was an issue during the initial uploading process. Gaining select faculty and student buy-in by allaying concerns related to some student’s wanting to publish in a peer-reviewed journal on the topic of their final project remains vital.

Conclusion: Creating open access collections of student applied final projects or capstone projects allows for greater visibility of this type of often overlooked student scholarship. Specifically, the final projects showcased can now be found and accessed by potential employers, researchers, other schools, and other DNP students. In many cases these final projects have applied real-world impact related to answering clinical questions or patient care that should be shared with the world.