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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The 64-item Hare Self-Report Psychopathy Scale (Hare SRP; Paulhus, Neumann, & Hare, in press) is the most recent revision of the SRP, which has undergone numerous iterations. Little research has been conducted with this new edition; therefore, the goal of the current study was to elucidate the factor structure as

The 64-item Hare Self-Report Psychopathy Scale (Hare SRP; Paulhus, Neumann, & Hare, in press) is the most recent revision of the SRP, which has undergone numerous iterations. Little research has been conducted with this new edition; therefore, the goal of the current study was to elucidate the factor structure as well as the criterion-related, convergent, and discriminant validity of the measure in a large sample of college students (N=602). Confirmatory factor analyses revealed that the best-fitting model was the original four-factor model proposed by the authors of the Hare SRP (compared to a one-factor, two-factor, and four-factor random model). The four-factor model revealed superior fit for the data relative to the other alternative models. In addition, we elaborated on the psychometric properties of this four-factor model in this sample. The Hare SRP total and factor scores evidenced good internal reliability as well as promising criterion-related, convergent, and discriminant validity in terms of predicting scores on conceptually relevant external criteria. Implications for theory and future research are discussed.

ContributorsNeal, Tess M.S. (Author) / Sellbom, Martin (Author)
Created2012
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The purpose of this volume is to consider how trust research, particularly trust in institutions, might benefit from increased inter- or transdisciplinarity. In this introductory chapter, we first give some background on prior disciplinary, multidisciplinary, and interdisciplinary work relating to trust. Next, we describe how this many-disciplined volume on institutional

The purpose of this volume is to consider how trust research, particularly trust in institutions, might benefit from increased inter- or transdisciplinarity. In this introductory chapter, we first give some background on prior disciplinary, multidisciplinary, and interdisciplinary work relating to trust. Next, we describe how this many-disciplined volume on institutional trust emerged from the joint activities of the Nebraska Symposium on Motivation and a National Science Foundation-funded Workshop on institutional trust. This chapter describes some of the themes that emerged, while also providing an overview of the rest of the volume, which includes chapters that discuss conceptualizations, definitions, and measurement of trust; institutional trust across domains and contexts; and theoretical advances regarding the “dark” and “light” sides of institutional trust. Finally, we conclude with some thoughts about the future of and potential promises and pitfalls of trust as a focus of interdisciplinary study.

ContributorsNeal, Tess M.S. (Author) / PytlikZillig, Lisa M. (Author) / Shockley, Ellie (Author) / Bornstein, Brian H. (Author)
Created2016
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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

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.

ContributorsHerian, Mitchell N. (Author) / Neal, Tess M.S. (Author)
Created2016