Probative Value of Absolute and Relative Judgments in Eyewitness Identification

It is well-accepted that eyewitness identification decisions based on relative judgments are less accurate than identification decisions based on absolute judgments. However, the theoretical foundation for this view has not been established. In this study relative and absolute judgments were compared through simulations of the WITNESS model (Clark, Appl Cogn Psychol 17:629–654, 2003) to address the question: Do suspect identifications based on absolute judgments have higher probative value than suspect identifications based on relative judgments? Simulations of the WITNESS model showed a consistent advantage for absolute judgments over relative judgments for suspect-matched lineups. However, simulations of same-foils lineups showed a complex interaction based on the accuracy of memory and the similarity relationships among lineup members.     

Forensic Inspection of Sensitive User Data and Artifacts from Smartwatch Wearable Devices

Wearable devices allow users the ability to leave mobile phones behind while remaining connected to the digital world; however, this creates challenges in the examination, acquisition, identification, and analysis of probative data. This preliminary research aims to provide an enhanced understanding of where sensitive user data and forensic artifacts are stored on smartwatch wearable devices, both through utilization as a connected and standalone device. It also provides a methodology for the forensically sound acquisition of data from a standalone smartwatch wearable device. The results identify significant amounts of data on the Samsung^? Gear S3 Frontier, greater than that stored on the companion mobile phone. An Apple Watch^® Series 3 manual examination method which produces native screenshots was identified; however, the companion mobile phone was found to store the greatest amount of data. As a result of this research, a data extraction tool for the Samsung^? Gear S3 Frontier was created.     

Stalemate in the States: Agenda Control Rules and Policy Output in American Legislatures

This article examines how the power of majority‐party leaders to set the legislative voting calendar influences policy change in American state legislatures. By generating an opportunity for party leaders to exercise gatekeeping or negative agenda control, such rules introduce an additional partisan veto player into a system of governance. This addition typically increases the size of the core or gridlock interval, which drives policy change downward. Using both traditional data on bill passage counts and new data on Affordable Care Act compliance, I find strong support for these claims. More specifically, when I calculate core sizes that are sensitive to agenda rules, I find that agenda‐control‐adjusted core size is negatively correlated with policy change, as expected. Moreover, even when I match states on their overall preference dispersion or polarization, the ability of party leaders to exercise negative agenda control is strongly negatively associated with policy change.     

Prior knowledge influences interpretations of eyewitness confidence statements: ‘The witness picked the suspect,they must be 100% sure%

When an eyewitness identifies a suspect from a lineup, it is important to know how certain they are about the decision. Even though eyewitnesses are likely to express certainty with words, past research shows that verbal confidence statements (e.g. ‘I’m pretty sure’) are prone to systematic misinterpretation. Until now, no one has examined how an evaluator's prior knowledge, such as which lineup member is the police suspect, influences their interpretation of eyewitness confidence about a lineup identification. Experiments 1 and 3 show that participants perceived the identical statement of confidence as meaning a higher and lower level of certainty, respectively, when the eyewitness's selection either matched or mismatched the police's suspect. Experiment 2 shows that these effects generally persist when the bias manipulation is manipulated between-subjects. Finally, Experiment 3 finds that clarifying the witness's statement with numeric information (e.g. I’m 80% sure) does not eliminate the influence of biasing information.