Titlebook: Neuropsychological Rehabilitation; Nicole Steinbüchel,Detlev Yves Cramon,Ernst P?ppel Conference proceedings 1992 Springer-Verlag Berlin H

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Evaluation of Neuropsychological Therapies: The Importance of Measurementing of a course of management; intervention which may be simple observation, active treatment or supportive care; and reassessment and evaluation of the effects of the intervention. This chapter concentrates upon evaluation. It introduces briefly a model of rehabilitation, and discusses evaluation,

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Discussion: Evaluation in Constructing Neuropsychological Treatmentsy no one would object to most of the statements and proposals made. Undoubtedly it is true “that investigators should spend more effort on choosing appropriate measures, particularly measures that demonstrate the clinical utility of the intervention being studied” (Wade). Therefore, one way out for

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Psychometric Evaluation of Neuropsychological Test Performancesiderable progress has been made in psychology in general in the last three decades. Likewise, neuropsychology has to take up the challenge and has to incorporate these measurement models into its body of assessment procedures. Recent overviews are, however, still devoid of them (Lezak 1988).

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Assessment of Mild, Moderate, and Severe Head Injuryits tends to emerge, differing among patients mostly with respect to the severity of the injury (Adams et al. 1985; Eisenberg and Levin 1989; Pang 1989; Teasdale and Mendelow 1984). This pattern of deficits should determine the core neuropsychological assessment program for persons with traumatic br

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Discussion: Brain Damage and Rehabilitation: A Neuropsychological Approach find it a little distressing that we have not so far talked very much about the kind of theoretical motivation behind any of these standardized tests; in particular, we have not explicitly tried to relate them to current views about the functional architectures of normal cognitive systems and how t

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itative Modellierung der Metaboliten als Variablen ist m?glich, aber sehr komplex. Einfachere Modelle abstrahieren die zugrunde liegende Physiologie auf elegante Weise und haben sich in der Praxis der Sportinformatik erfolgreich durchgesetzt. Die mathematische Modellierung der messbaren Output-Gr??e

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E. P?ppel,N. von Steinbüchelitative Modellierung der Metaboliten als Variablen ist m?glich, aber sehr komplex. Einfachere Modelle abstrahieren die zugrunde liegende Physiologie auf elegante Weise und haben sich in der Praxis der Sportinformatik erfolgreich durchgesetzt. Die mathematische Modellierung der messbaren Output-Gr??e