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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.

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An integrated theory of sexual offending

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.
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The integration of etiology and risk in sexual offenders: A theoretical framework

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.
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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.
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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.