Tess Neal Collection
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. 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.
- 2 English
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This study examined a knowledge-centered theory of institutional trust development. In the context of trust in water regulatory institutions, the moderating impact of knowledge was tested to determine if there were longitudinal changes in the bases of institutional trust as a function of increases in knowledge about a target institution. We hypothesized that as people learn about an institution with which they were previously unfamiliar, they begin to form more nuanced perceptions, distinguishing the new institution from other institutions and relying less upon their generalized trust to estimate their trust in that institution. Prior to having specific, differential information about ...
- PytlikZillig, Lisa M., Kimbrough, Christopher D., Shockley, Ellie, et al.
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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 ...
- PytlikZillig, Lisa M., Hamm, Joseph A., Shockley, Ellie, et al.
- Created Date