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A Structural Equation Modeling Approach to Predicting Applicant Faking

Lortie, Brendan
http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1573323760174055

Abstract Details

2019, Doctor of Philosophy (Ph.D.), Bowling Green State University, Psychology/Industrial-Organizational.
Over the past few decades, applicant faking has become a topic of concern for many researchers and practitioners in the field of Industrial and Organizational Psychology. This has led to the development of many theoretical models of applicant faking. However, very few of these models have been tested empirically. The current study aims to address this need by empirically testing a parsimonious model of applicant faking. This model contains the most frequently-cited components of faking models (motivation to fake, ability to fake, individual differences related to faking, and situational influences). Faking was operationalized as the regression-adjusted difference scores between an “honest” administration of a personality test and an “applicant” condition of the same test. Motivation to fake was posited to mediate the relationship between individual differences and faking behavior. Situational influences were posited to moderate the relationships between individual differences and motivation to fake, while ability to fake was expected to moderate the relationship between motivation to fake and faking behavior. Structural equation modeling results demonstrated limited support for this model. The findings of this study highlight the need for faking researchers to focus on the measurement of faking. Implications for both theory and practice, as well as study limitations, are also discussed.
Margaret Brooks, PhD (Advisor)
Scott Highhouse, PhD (Committee Member)
William O'Brien, PhD (Committee Member)
Yan Wu, PhD (Other)
108 p.
Occupational Psychology; Organizational Behavior; Personality; Psychology
faking; personality; applicant;

Recommended Citations

Citations

  • Lortie, B. (2019). A Structural Equation Modeling Approach to Predicting Applicant Faking [Doctoral dissertation, Bowling Green State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1573323760174055

    APA Style (7th edition)

  • Lortie, Brendan. A Structural Equation Modeling Approach to Predicting Applicant Faking. 2019. Bowling Green State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1573323760174055.

    MLA Style (8th edition)

  • Lortie, Brendan. "A Structural Equation Modeling Approach to Predicting Applicant Faking." Doctoral dissertation, Bowling Green State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1573323760174055

    Chicago Manual of Style (17th edition)

bgsu1573323760174055
392
© 2019, some rights reserved.Creative Commons License A Structural Equation Modeling Approach to Predicting Applicant Faking by Brendan Lortie is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by Bowling Green State University and OhioLINK.