Description

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

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.

Reuse Permissions
  • 1.04 MB application/pdf

    Download count: 0

    Details

    Contributors
    Date Created
    • 2015
    Resource Type
  • Text
  • Collections this item is in
    Note
    • Partial requirement for: Ph. D., Arizona State University, 2015
      Note type
      thesis
    • Includes bibliographical references (pages 52-55)
      Note type
      bibliography
    • Field of study: Psychology

    Citation and reuse

    Statement of Responsibility

    by David Lovis-McMahon

    Machine-readable links