Abstract
This article reviews different methods of measuring the extent that faking has distorted responses to a personality test. Based on the idea that faking causes shifts in the means and construct relationships, a three-factor framework is proposed for classifying such measures based on the data required for computation and the effect of faking that the measure is intended to gauge. Advantages and disadvantages for each method are discussed along with recommendations for measuring faking in research and practice.
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