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Prediction in Forensic and Neuropsychology - Sound Statistical Practices (Hardcover)
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Prediction in Forensic and Neuropsychology - Sound Statistical Practices (Hardcover)
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Psychologists are under increasing pressure to demonstrate the
ecological validity of their assessment procedures--to show that
the recommendations concluding their evaluations are relevant to
urgent concerns in the legal and social policy arenas, such as
predicting dangerousness, awarding compensation, and choosing a
custodial parent. How much damage does a referred patient have? Who
or what "caused" the damage? What impact will it have on his or her
future life, work, and family? And what can be done to remediate
the damage?
The purpose of this book is to provide "sound objective" methods
for answering these questions. It integrates the knowledge of
experienced practitioners who offer state-of-the-art summaries of
the best current approaches to evaluating difficult cases with that
of basic theorists who describe emerging methods in both predictive
and inferential statistics, such as Bayesian networks, that have
proven their value in other scientific fields. Arguably, the
enterprise of psychological assessment is so interdependent with
that of data analysis that attempts to make inferences without
consideration of statistical implications is malpractice.
"Prediction in Forensic and Neuropsychology: Sound Statistical
Practices" clarifies the process of hypothesis testing and helps to
push the clinical interpretation of psychological data into the
21st century. It constitutes a vital resource for all the
stakeholders in the assessment process--practitioners, researchers,
attorneys, and policymakers.
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