A comparison between numeric confidence ratings and verbal confidence statements.

Is confidence most diagnostic of accuracy when expressed in numbers or when expressed in words? This question bears immense importance in many real-world contexts especially within the confines of eyewitness identification. In an eyewitness identification task, we compared the diagnostic value of numeric confidence across rating scales that varied in grain size (3-point vs. 6-point vs.

Improving the diagnostic value of lineup rejections.

Erroneous eyewitness identification evidence is likely the leading cause of wrongful convictions. To minimize this error, scientists recommend collecting confidence. Research shows that eyewitness confidence and accuracy are strongly related when an eyewitness identifies someone from an initial and properly administered lineup.

Feeling the future of eyewitness research.

For decades, eyewitness memory research has had the worthy goal of minimizing the chances that an innocent suspect is falsely identified. However, this is not the only goal. Partial receiver operating characteristic (ROC) curves provide a way to identify lineup procedures that keep the false alarm rate low while also maximizing the hit rate.

pyWitness 1.0: A python eyewitness identification analysis toolkit.

pyWitness is a python toolkit for recognition memory experiments, with a focus on eyewitness identification (ID) data analysis and model fitting. The current practice is for researchers to use different statistical packages to analyze a single dataset. pyWitness streamlines the process.