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(p. 193) Data Interpretation 

(p. 193) Data Interpretation
(p. 193) Data Interpretation

David M. Corey

, and Mark Zelig

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date: 26 May 2020

This chapter begins with a discussion of the benefits of using a data integration model to guide clinical decision-making in suitability and fitness evaluations. The authors note that avoiding reliance on a single data source is a well-established principle in forensic practice. In their experience, in some cases the data fit together neatly like pieces of a jigsaw puzzle, and the resulting suitability and fitness determinations are “no-brainers.” But more often, there is some information that points to problems that are contradicted (or not reported) by other sources. These more typical cases reflect the reality that people can be complicated, and behavior is contextual. The authors then present several examples of integrative models, including one for guiding the integration and interpretation of data in a preemployment evaluation to reach a determination of suitability, and another to facilitate the determination of fitness for duty.

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