Literature DB >> 14589608

Clinical judgment and decision making in neuropsychology.

D Wedding1, D Faust.   

Abstract

We review the literature on clinical judgment and statistical/actuarial prediction both in clinical psychology and in neuropsychology and we attempt to place these findings within the broader context of judgment theory. Current research on judgment in neuropsychology is consistent with research in other areas that documents the limitations of humans as judges and argues for increased utilization of actuarial methods and decision aids. In addition, there are virtually no data suggesting judgmental accuracy is related to experience, acknowledged expertise, or confidence in the accuracy of one's predictions. We attempt to identify judgment practices which contribute to diagnostic error in neuropsychology and we make recommendations that neuropsychologists can use to increase their judgmental accuracy. Research priorities in this area are discussed.

Entities:  

Year:  1989        PMID: 14589608

Source DB:  PubMed          Journal:  Arch Clin Neuropsychol        ISSN: 0887-6177            Impact factor:   2.813


  7 in total

Review 1.  A statistical interpretive method for neuropsychological test data.

Authors:  L S Miller; M L Rohling
Journal:  Neuropsychol Rev       Date:  2001-09       Impact factor: 7.444

Review 2.  Forensic neuropsychology: the art of practicing a science that does not yet exist.

Authors:  D Faust
Journal:  Neuropsychol Rev       Date:  1991-09       Impact factor: 7.444

3.  Forensic neuropsychology: a reply to the method skeptics.

Authors:  J T Barth; T V Ryan; G L Hawk
Journal:  Neuropsychol Rev       Date:  1991-09       Impact factor: 7.444

4.  Clinical judgment in forensic neuropsychology: a comment on the risks of claiming more than can be delivered.

Authors:  D Wedding
Journal:  Neuropsychol Rev       Date:  1991-09       Impact factor: 7.444

Review 5.  The accuracy of automated and clinical detection of brain damage and lateralization in neuropsychology.

Authors:  E W Russell
Journal:  Neuropsychol Rev       Date:  1995-03       Impact factor: 7.444

6.  Benefits and challenges of using logistic regression to assess neuropsychological performance validity: Evidence from a simulation study.

Authors:  Alexander Weigard; Robert J Spencer
Journal:  Clin Neuropsychol       Date:  2022-01-10       Impact factor: 4.373

7.  Diagnostic utility of the NAB List Learning test in Alzheimer's disease and amnestic mild cognitive impairment.

Authors:  Brandon E Gavett; Sabrina J Poon; Al Ozonoff; Angela L Jefferson; Anil K Nair; Robert C Green; Robert A Stern
Journal:  J Int Neuropsychol Soc       Date:  2009-01       Impact factor: 2.892

  7 in total

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