Neal, Tess
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).
Filtering by
- All Subjects: Justice
- All Subjects: psychopathy
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.
Using confirmatory factor analyses and multiple indicators per construct, we examined a number of theoretically derived factor structures pertaining to numerous trust-relevant constructs (from 9 to12) across four institutional contexts (police, local governance, natural resources, state governance) and multiple participant-types (college students via an online survey, community residents as part of a city’s budget engagement activity, a random sample of rural landowners, and a national sample of adult Americans via an Amazon Mechanical Turk study). Across studies, a number of common findings emerged. First, the best fitting models in each study maintained separate factors for each trust-relevant construct. Furthermore, post hoc analyses involving addition of higher-order factors tended to fit better than collapsing of factors. Second, dispositional trust was easily distinguishable from the other trust-related constructs, and positive and negative constructs were often distinguishable. However, the items reflecting positive trust attitude constructs or positive trustworthiness perceptions showed low discriminant validity. Differences in findings between studies raise questions warranting further investigation in future research, including differences in correlations among latent constructs varying from very high (e.g., 12 inter-factor correlations above .9 in Study 2) to more moderate (e.g., only 3 correlations above .8 in Study 4). Further, the results from one study (Study 4) suggested that legitimacy, fairness, and voice were especially highly correlated and may form a single higher-order factor, but the other studies did not. Future research is needed to determine when and why different higher-order factor structures may emerge in different institutional contexts or with different samples.