Factors predicting conviction in child stranger rape

• Published in: Child abuse & neglect Vol. 101; p. 104242
• Main Authors: Lundrigan, Samantha, Dhami, Mandeep K., Agudelo, Kelly
• Format: Journal Article
• Language: English
• Published: England Elsevier Ltd 01.03.2020; Elsevier Science Ltd
• Subjects: Adolescent; Adult; Aged; Chi-square test; Child; Child sexual abuse; Child victims; Child, Preschool; Children; Convictions; Court decisions; Court hearings & proceedings; Criminal Law; Decision Making; Defendants; Factor Analysis, Statistical; Female; Humans; Judges & magistrates; Judicial Role; Juries; Jury decision-making; Male; Mass media images; Media coverage; Middle Aged; Minors - legislation & jurisprudence; Minors - statistics & numerical data; Misconceptions; Police; Power; Prosecutions; Rape; Rape - legislation & jurisprudence; Rape - statistics & numerical data; Stereotypes; Stranger rape; United Kingdom; Victims; United Kingdom; Stranger rape; Child victims; Jury decision-making; Child sexual abuse
• ISSN: 0145-2134; 1873-7757
• DOI: 10.1016/j.chiabu.2019.104242

Public knowledge of child stranger rape is shaped largely by media portrayals of a small number of cases, often marked by sensational trials, which may result in juror misconceptions of this offense. It is important to understand the factors that may influence jury verdicts in order to maximize the chance of guilty defendants being convicted. The aim is to explore the factors that predict juries’ decisions to convict or acquit in child stranger rape cases. The study utilizes a police database of recorded child stranger rape cases from a UK urban force from 2001–2015. Seventy cases that were tried by jury were analyzed. We investigated the extent to which 19 child-, accused- and offense-related factors predict jury verdicts. A four stage analytic process was employed: (a) Kendall’s tau-b measured inter-correlations among the factors; (b) Chi-Square and Welch t-tests measured associations between factors and verdicts; (c) binary logistic regression measured the power of factors in predicting verdicts; and (d) Stein’s formula was used to cross-validate the model. Verdicts were predicted by two offense-related factors. A weapon increased the odds of conviction by 412%. An outdoor location increased the odds by 360%. The findings have potential implications for prosecution case building and courtroom policy. Prosecutors could gather as much information as possible from victims about the factors found to be of importance to juries. Judges could challenge incorrect beliefs and stereotypes by instructing juries.