Recent interest in cognitive error and flawed decision making have prompted the development of checklists and tools to reduce human biases and inadvertent error from disrupting the process of conducting child custody evaluations. In a field where many levels of complexity and competing hypotheses must be critically examined and judiciously studied, the use of decision-tree methods is a valuable asset for streamlining the collection and integration of data into cogent findings which lead to logical conclusions and recommendations.
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