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Anthony R. Beech
Researcher at University of Birmingham
Publications - 260
Citations - 12348
Anthony R. Beech is an academic researcher from University of Birmingham. The author has contributed to research in topics: Poison control & Sex offense. The author has an hindex of 60, co-authored 260 publications receiving 11615 citations. Previous affiliations of Anthony R. Beech include University of Oxford & University of St Andrews.
Papers
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Journal ArticleDOI
An integrated theory of sexual offending
Tony Ward,Anthony R. Beech +1 more
TL;DR: In this article, the Integrated Theory of Sexual Offending (ITSO) is proposed to explain the onset, development, and maintenance of sexual offending. But, the authors do not consider the role of environmental factors in the development of sexual abuse.
Book
Theories of Sexual Offending
TL;DR: In this paper, the authors present a theory construction, development, and evaluation of a multi-factor model of sexual aggression and sexual offending in the context of the authors' series.
Journal ArticleDOI
The integration of etiology and risk in sexual offenders: A theoretical framework
Anthony R. Beech,Tony Ward +1 more
TL;DR: In this paper, the static and dynamic risk factors are incorporated into an etiological framework to link two related clinical domains in order to further both risk assessment and theory-directed research, and the integrated model of risk and etiological elements and its clinical and research utility is discussed.
Journal ArticleDOI
Evidence of reduced 'cognitive inhibition' in schizophrenia.
TL;DR: An experiment is described which investigated cognitive inhibition in schizophrenia and found that inhibition of such distracting information was reduced in schizophrenics, providing some support for Frith's (1979) theory that the cognitive symptoms of schizophrenia are due to awareness of processes that normally occur preconsciously.
Journal ArticleDOI
The relationship between static and dynamic risk factors and reconviction in a sample of U.K. child abusers.
TL;DR: Adding psychometric measures of dynamic risk (e.g., pro-offending attitudes, socio-affective problems) significantly increased the accuracy of risk prediction beyond the level achieved by the actuarial assessment of static factors.