ABSTRACT
Research on sexual assault has shown that victim, perpetrator, and participant characteristics can influence evaluations of an assault. However, the studies have not examined a possible main effect or interactions from respectively introducing the victim or perpetrator first in an assault description, and previous studies have used participant samples with little diversity. We conducted two studies with factorial between-groups designs that varied presentation order in addition to victim and perpetrator stereotypicality and then assessed the impacts on participants' judgments of sexual assault scenarios. We used the online marketplace Prolific to collect large, diverse samples of participants, and in the second study, we collected roughly equal sample sizes of individuals who identified as Black females/males and White females/males. Our results indicate that multiple factors-including victim and perpetrator stereotypicality, presentation order, and participants' gender identities-significantly influenced judgments of the sexual assault, and there were numerous interactions. The results provide strongest support for a spreading activation model in which each factor can influence a participant's judgment of the other factors and the overall scenario. As such, the findings may bear on the legal handling of sexual assault cases as well as suggesting how different presentation formats and emphases in media coverage may sway the court of public opinion.
ABSTRACT
BACKGROUND: Postural instability and gait difficulties (PIGD) are a significant cause of disability and loss of quality of life (QoL) in Parkinson's Disease. Most research on clinical predictors of PIGD measures have focused on individual clinical often motor performance variables, However, PIGD motor features often result in fear of falling (FoF) lowering a patient's mobility self-efficacy. The purpose of this study was to assess composite measures of motor and self-efficacy determinants PIGD motor features in PD and compare these to analysis of individual clinical metrics. METHODS: 75 PD participants underwent detailed motor and non-motor test batteries. Principal component analysis (PCA) was used to identify clusters of covarying correlates of slow walking, imbalance, falls, freezing of gait, FoG and compare these to traditional univariate analyses. RESULTS: A single PCA-derived composite measure of motor performance and self-efficacy of mobility was the most robust determinant of all PIGD motor features except for falls. In contrast, analysis of the individual clinical variables showed more limited and diverging findings, including evidence of better cognitive performance but more severe motor parkinsonian ratings in the fall group. CONCLUSION: There are robust associations between composite measures of motor performance and self-efficacy of mobility and all PIGD motor features except for falls. Univariate analysis of individual clinical measures showed limited correlates of PIGD motor features. Patient's own perception of motor performance, FoF, and QoL deserve more attention as PIGD therapeutic targets in PD.
