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Additional resources for Detection of Malingering during Head Injury Litigation

Example text

If one is working with naturalistic populations of malingerers who are caught, and especially if it is possible to compile some reasonably large samples (as could occur with data pooling), it may often be possible to approximate how many times or for how long or under what conditions individuals successfully malingered before they were detected. Although this approach would not circumvent some of the problems with representativeness we have already described, it would provide a means to alter the variable of skill and to examine its potential impact on malingering indicators and detection methods.

An individual who might avoid the electric chair by faking mental incompetence has a cost-benefit ledger from another universe. Although subject to obvious limitations, it would be interesting to ask individuals about the conditions under which they would and would not malinger (or have and have not malingered). For example, have they, or would they, ever fake being sick so as to avoid school or work or a social outing? In contrast, would they fake injury in a medical malpractice case in which they would stand to benefit enormously, but only by hurting an innocent physician?

Suppose that one has invented a perfect malingering detection device. In the laboratory, in which one might obtain uniform compliance among subjects, the researcher achieves a 100% accuracy rate. , disability applicants with minimal injuries who are disputing a rejected claim) might contain only 50% malingerers and the motivated-to-dotheir-best group (those applying to vocational rehabilitation for educational funds) might still contain 20% malingerers. We now obtain a 50% "accuracy" rate in the first group and an 80% rate in the second group, when in fact the method has made the correct identification every time.

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