Abstract (taken from the paper)
This paper attempts to identify the factors which lead to child abuse and implement these factors within a mathematical probabilistic model which can predict the likelihood that a child will be abused. Additionally, the intensity of the probable abuse can computed. These computations are thought to help the clinician to make a decision on when and how to intervene.
While there are many factors involved in child abuse which are well established within the existing literature (e.g. The age of the child), other factors are less well understood. Hence, this paper approaches the issue in the following manner. In case, where a factor has been clearly identified, such a factor has simply been acknowledged. However, in case such a factor is less clearly understood and little or no empirical data are available, the approach is more theoretical and based upon thought experiments. Once the relevant factors have been established they are implemented within a mathematical model which predicts both the likelihood of abuse and its intensity.
It has been found that these are the relevant factors accountable for child abuse. Accessibility, Age of the child, Number of caretakers, Strength of support network, Ability of the child, Mental Health of caretaker, Parenting skills and Deterrence. The model has been tested against 5 virtual situation and appears to be functional.
has been able to establish the factors involved in child abuse and
that the model is functional, before this model can be implemented
within a clinical setting a specific instrument will have to be
designed including sub-scales such as the narcissistic
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