Description

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At last, a comprehensive guide that meets psychologists and other social scientists' growing need to master the tools of statistical prediction.

Prediction Statistics for Psychological Assessment, by R. Karl Hanson, is the first book to teach students and practitioners the nuts and bolts of prediction statistics, while illustrating the utility of prediction and prediction tools in applied psychological practice.

This valuable resource uses real-world examples, helpful explanations and practice exercises to support the use of prediction tools in psychological assessment.

Actuarial risk assessment evaluators need to know how prediction tools work, how to evaluate them, and how to interpret their results in applied assessments.

Written in a clear and accessible manner, this user-friendly book helps readers understand how to evaluate and interpret different kinds of prediction tools, appreciate the numeric information used in risk communication, and utilize prediction tools to inform evidence-based decision making.

About the Author

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R. Karl Hanson, PhD is an adjunct research professor at Carleton University, Ottawa, Canada and formerly a researcher with Public Safety Canada from 1991-2017. His research concerns risk assessment and rehabilitation for individuals in the criminal justice and forensic mental health systems, with a particular focus on sexual offenders. He has a strong interest in the statistical methods used to quantify risk and to evaluate change over time. Follow @rkarlhanson and visit carleton.ca/psychology.