To modify and align investigatory and legal processes with witness capabilities and reflect memorial and decision processes that inform recognition judgements, this book examines lineup-based recognition approaches not requiring witnesses to identify a perpetartor: non–categorical confidence and non–categorical similarity judgements.
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Dominic T. Jordan is a Lecturer in Criminology at Edith Cowan University and a consultant researcher in the private sector. Dominic has previously held positions as a researcher within the Sellenger Centre for Research in Law, Justice and Social Change, and as an officer of the Australian Government's National Anti-Corruption Commission. His research examines the role of human memory in investigative contexts, with a particular focus on eyewitness identification.
Adrian J. Scott is a Reader (Associate Professor) in Psychology at Goldsmiths, University of London, where he is Co-Director of the Forensic Psychology Unit and of an accredited MSc programme in Forensic Psychology. Adrian is a chartered psychologist with associate fellow status within the British Psychological Society and has a broad interest in forensic psychology, specialising in the areas of investigative interviewing, eyewitness testimony, stalking, and image-based sexual abuse.
Donald M. Thomson is an Emeritus Professor of Psychology at Deakin University. During his career, Donald developed several postgraduate forensic psychology programmes in Australia, worked as a barrister at the Victorian Bar, and contributed to numerous professional bodies, law reform commissions, and advisory committees. He is a globally renowned expert in the areas of applied cognitive psychology, memory, recognition, and criminal law.
To modify and align investigatory and legal processes with witness capabilities and reflect memorial and decision processes that inform recognition judgements, this book examines lineup-based recognition approaches not requiring witnesses to identify a perpetartor: non–categorical confidence and non–categorical similarity judgements.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Hardcover. Etat : new. Hardcover. Arguing for a need to modify investigatory and legal processes so that they align with the capabilities of witnesses and reflect the memorial and decision processes that inform recognition judgements, this book examines two radical alternative approaches to lineup-based recognition that do not require witnesses to identify a perpetrator: Noncategorical confidence and noncategorical similarity judgements.Using empirical data, the authors explore the relationship between identification decisions, confidence judgements, and similarity judgements in lineupbased recognition tasks and reflect on whether similarity underpins more complex judgements of identity and confidence. They also examine the practical utility of confidence and similarity judgements and consider how such alternatives might be conceptualised in a legal context. This book draws on the areas of psychology and law to outline the key issues of identification and calls for a revision in how we think about, obtain, and present eyewitness evidence from lineups.Prompting a consideration of new solutions and concepts to help witness errors become a problem of the past, The Psychology of Eyewitness Identification will be of great interest to students, scholars, and practitioners across the fields of criminal justice, psychology, and law, and particularly those with a focus on eyewitness identification. To modify and align investigatory and legal processes with witness capabilities and reflect memorial and decision processes that inform recognition judgements, this book examines lineup-based recognition approaches not requiring witnesses to identify a perpetartor: noncategorical confidence and noncategorical similarity judgements. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781032942827
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