Improving intoxicated witness recall with the Enhanced Cognitive Interview.

Rationale: Witnesses and victims typically provide the central leads in police investigations, yet statistics from past research indicates in many instances these individuals are intoxicated. Objectives: To date, however, no research has looked at how best to interview such witnesses to maximise the...

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Publicado en:Psychopharmacology Vol. 237; no. 7; pp. 2213 - 2231
Autores principales: Crossland, Deborah, Kneller, Wendy, Wilcock, Rachel
Formato: Journal Article
Publicado: Springer Nature Jul2020
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Springer Nature
      place: New York, New York
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        10.1007/s00213-020-05531-x
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          Crossland, Deborah
          Kneller, Wendy
          Wilcock, Rachel
        affil: Department of Psychology, The University of Winchester, Sparkford Road, SO22 4NR, Winchester, Hampshire, UK
      sug:
      ab: Rationale: Witnesses and victims typically provide the central leads in police investigations, yet statistics from past research indicates in many instances these individuals are intoxicated. Objectives: To date, however, no research has looked at how best to interview such witnesses to maximise the amount of accurate information they recall. Methods: In the present research, whilst on a night out, participants watched a videoed theft whilst either sober or moderately (MBAC = 0.05%) or severely (MBAC = 0.14%) intoxicated. A week later, in a different location, participants were interviewed using either the Enhanced Cognitive (ECI) or Structured Interview. Results: The ECI was found to improve the recall accuracy and completeness of witness accounts across all three drinking conditions. However, no significant interaction was indicated between alcohol and interview condition. Conclusions: The study findings are discussed in terms of their real-world value in aiding police officers to elicit as complete and as accurate an account as possible from intoxicated witnesses.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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