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Multilevel Potential Outcome Models for Causal Inference in Jury Research

Abstract Recent advances in hierarchical or multilevel statistical models and causal inference using the potential outcomes framework hold tremendous promise for mock and real jury research. These advances enable researchers to explore how individual jurors can exert a bottom-up effect on the jury’s verdict and how case-level features can exert a top-down effect on a juror’s perception of the parties at trial. This dissertation explains and then applies these technical advances to a pre-existing mock jury dataset to provide worked examples in an effort to spur the adoption of these techniques. In particular, the paper introduces two new cross-level mediated effects and then describes how to conduct ecological validity tests with these mediated effec... (more)
Created Date 2015
Contributor Lovis-McMahon, David (Author) / Schweitzer, Nicholas (Advisor) / Saks, Michael (Advisor) / Salerno, Jessica (Committee member) / Mackinnon, David (Committee member) / Arizona State University (Publisher)
Subject Social psychology / Quantitative psychology and psychometrics / Law / Causal Inference / Jury / Mediation / Multilevel
Type Doctoral Dissertation
Extent 86 pages
Language English
Reuse Permissions All Rights Reserved
Note Doctoral Dissertation Psychology 2015
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis