This paper looks at the effects of ‘ faking bad’ on the pattern of scores on Raven's Matrices. It was found that faking significantly reduces the rate of decay across the five series of sets on the test. The paper describes a statistical method that can be used to rate objectively the rate of decay and help detect possible faking on the Matrices. The method was found to be highly effective in discriminating between genuine and faked impairment and proved far superior to the discrepancy method recommended by Raven (1960). Cut‐off scores are provided in order to enable the clinician to apply the method to individual cases and minimize false positive and false negative errors.
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