Examining old problems with new tools: Statistically modeling applicant faking

2007 ◽  
Author(s):  
Richard L. Griffith ◽  
Tina Malm ◽  
Michael J. Zickar
Keyword(s):  
2006 ◽  
Author(s):  
Richard L. Griffith ◽  
Yukiko Yoshita ◽  
Nicholas L. Vasilopoulos

Author(s):  
Richard L. Griffith ◽  
Neil D. Christiansen ◽  
Robert T. Hogan ◽  
Andrea F. Snell ◽  
Nicholas L. Vasilopoulos ◽  
...  
Keyword(s):  

2006 ◽  
Vol 36 (4) ◽  
pp. 979-1016 ◽  
Author(s):  
Lynn A. McFarland ◽  
Ann Marie Ryan

2006 ◽  
Vol 14 (4) ◽  
pp. 317-335 ◽  
Author(s):  
Scott A. Birkeland ◽  
Todd M. Manson ◽  
Jennifer L. Kisamore ◽  
Michael T. Brannick ◽  
Mark A. Smith

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Christopher Huber ◽  
Nathan Kuncel ◽  
Katie Huber ◽  
Anthony Boyce

Despite the established validity of personality measures for personnel selection, their susceptibility to faking has been a persistent concern. However, the lack of studies that combine generalizability with experimental control makes it difficult to determine the effects of applicant faking. This study addressed this deficit in two ways. First, we compared a subtle incentive to fake with the explicit “fake-good” instructions used in most faking experiments. Second, we compared standard Likert scales to multidimensional forced choice (MFC) scales designed to resist deception, including more and less fakable versions of the same MFC inventory. MFC scales substantially reduced motivated score elevation but also appeared to elicit selective faking on work-relevant dimensions. Despite reducing the effectiveness of impression management attempts, MFC scales did not retain more validity than Likert scales when participants faked. However, results suggested that faking artificially bolstered the criterion-related validity of Likert scales while diminishing their construct validity.


2010 ◽  
Author(s):  
Lindsey M. Lee ◽  
Katie Piccone ◽  
Joshua A. Isaacson ◽  
Bianca Trejo ◽  
Richard L. Griffith

2007 ◽  
Author(s):  
Mitchell H. Peterson ◽  
Shawn M. Burkevich ◽  
Paul Merlini ◽  
Richard L. Griffith

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