Literature DB >> 15163454

Setting empirical cut-offs on psychometric indicators of negative response bias: a methodological commentary with recommendations.

Kevin W Greve1, Kevin J Bianchini.   

Abstract

Malingering in neuropsychological assessment has been the subject of intense research for more than a decade and the detection methods arising from this work are diverse and sophisticated. However, the empirical findings are often presented in ways that limit the clinical utility of these techniques and may threaten their admissibility into legal proceedings. The purpose of this paper is to outline an approach for setting cut-offs on techniques designed to identify the presence of negative response bias. The use of this approach will result in the explicit specification of the error rate(s) of a given technique which can easily be applied by clinicians in the course of their practice and be admissible in court. Copyright 2003 National Academy of Neuropsychology

Mesh:

Year:  2004        PMID: 15163454     DOI: 10.1016/j.acn.2003.08.002

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


  2 in total

1.  Comparison of the repeatable battery for the assessment of neuropsychological status effort scale and effort index in a dementia sample.

Authors:  Kathryn J Dunham; Sarah Shadi; Channing A Sofko; Robert L Denney; Jordan Calloway
Journal:  Arch Clin Neuropsychol       Date:  2014-09-18       Impact factor: 2.813

2.  Assessment of feigned cognitive impairment in severe traumatic brain injury patients with the Forced-choice Graphics Memory Test.

Authors:  Zilong Liu; Juan Dong; Xiaohong Zhao; Xiaorui Chen; Sara M Lippa; Jerome S Caroselli; Xiang Fang
Journal:  Brain Behav       Date:  2016-10-13       Impact factor: 2.708

  2 in total

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