The Overclaiming Questionnaire: A good way to measure faking?

• We evaluated the Overclaiming Questionnaire (OCQ) as a measure of applicant faking.
• The OCQ weakly predicted Residualized Individual Change Scores and Faking Admission.
• The OCQ failed to predict three separate faking tendencies.
• The OCQ performed significantly worse relative to another faking measure.
• We urge caution in using the current version of the OCQ to measure faking.

We evaluated the validity of the Overclaiming Questionnaire (OCQ) as a measure of job applicants’ faking of personality tests. We assessed whether the OCQ (a) converged with an established measure of applicant faking, Residualized Individual Change Scores (RICSs); (b) predicted admission of faking and faking tendencies (Faking Frequency, Minimizing Weaknesses, Exaggerating Strengths, and Complete Misrepresentation); and, (c) predicted the aforementioned measures as strongly as RICSs did. First, 261 participants were instructed to respond honesty to an extraversion measure. Next, in a mock job application, they filled out the extraversion measure again, as well as the OCQ. The OCQ only weakly predicted RICSs (r = .17), Faking Admission (r = .18), and Faking Frequency (r = .15), and it failed to correlate significantly with Minimizing Weaknesses, Exaggerating Strengths, and Complete Misrepresentation. Moreover, the OCQ performed significantly worse than RICS in predicting Faking Admission, Faking Frequency, Minimizing Weaknesses, Exaggerating Strengths, and Complete Misrepresentation. We urge caution in using the current version of the OCQ to measure faking, but speculate that the innovative approach taken in the OCQ might be more effectively exploited if the OCQ content were tailored to the specific job that applicants are being tested for.