Literature DB >> 11055152

Variance in faking across noncognitive measures.

L A McFarland1, A M Ryan.   

Abstract

There are discrepant findings in the literature regarding the effects of applicant faking on the validity of noncognitive measures. One explanation for these mixed results may be the failure of some studies to consider individual differences in faking. This study demonstrates that there is considerable variance across individuals in the extent of faking 3 types of noncognitive measures (i.e., personality test, biodata inventory, and integrity test). Participants completed measures honestly and with instructions to fake. Results indicated some measures were more difficult to fake than others. The authors found that integrity, conscientiousness, and neuroticism were related to faking. In addition, individuals faked fairly consistently across the measures. Implications of these results and a model of faking that includes factors that may influence faking behavior are provided.

Entities:  

Mesh:

Year:  2000        PMID: 11055152     DOI: 10.1037/0021-9010.85.5.812

Source DB:  PubMed          Journal:  J Appl Psychol        ISSN: 0021-9010


  8 in total

1.  Discordant report of vaping of cannabis among high school seniors in the United States.

Authors:  Joseph J Palamar; Austin Le
Journal:  Am J Drug Alcohol Abuse       Date:  2021-07-15       Impact factor: 3.912

2.  To Fake or Not to Fake: Antecedents to Interview Faking, Warning Instructions, and Its Impact on Applicant Reactions.

Authors:  Stephanie J Law; Joshua Bourdage; Thomas A O'Neill
Journal:  Front Psychol       Date:  2016-11-15

3.  Individual Difference Variables and the Occurrence and Effectiveness of Faking Behavior in Interviews.

Authors:  Anne-Kathrin Buehl; Klaus G Melchers
Journal:  Front Psychol       Date:  2017-05-10

4.  Empirical Scenarios of Fake Data Analysis: The Sample Generation by Replacement (SGR) Approach.

Authors:  Massimiliano Pastore; Massimo Nucci; Andrea Bobbio; Luigi Lombardi
Journal:  Front Psychol       Date:  2017-04-19

5.  An Item-Level Analysis for Detecting Faking on Personality Tests: Appropriateness of Ideal Point Item Response Theory Models.

Authors:  Jie Liu; Jinfu Zhang
Journal:  Front Psychol       Date:  2020-01-22

6.  Faking self-reports of health behavior: a comparison between a within- and a between-subjects design.

Authors:  Viktoria S Egele; Laura H Kiefer; Robin Stark
Journal:  Health Psychol Behav Med       Date:  2021-10-22

7.  The "g" in Faking: Doublethink the Validity of Personality Self-Report Measures for Applicant Selection.

Authors:  Mattis Geiger; Sally Olderbak; Ramona Sauter; Oliver Wilhelm
Journal:  Front Psychol       Date:  2018-11-13

8.  The Effect of Faking on the Correlation Between Two Ordinal Variables: Some Population and Monte Carlo Results.

Authors:  Marco Bressan; Yves Rosseel; Luigi Lombardi
Journal:  Front Psychol       Date:  2018-10-12
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.