University of Illinois at Urbana-Champaign
Forced-choice personality measurement to reduce faking in personnel selection: Predicting block and scale fakability
Abstract
dc:descriptionWhen measuring personality for personnel selection, forced-choice (FC) personality measures are often able to alleviate faking that plagues traditional Likert-type single-statement (SS) measures. However, most previous studies provided limited information about faking resistance of the FC measure at the block level, or about block-level attributes that can mitigate faking effects. Such information would be useful for the construction of faking-resistant scales. Using forced-choice measures constructed from the HEXACO-200 item pool, the current study examined possible factors influencing the fakability of FC blocks (as modeled upon the faking mixture model developed by Frick [2022]) and fakability of the whole FC measure. These factors include block size, social desirability matching stringency, overall block desirability, and response format (RANK vs. most-and-least like me: MOLE). Results suggested larger block sizes may correspond to lower fakability. Further, the effect of block size on mitigating block fakability was stronger for MOLE response formats (compared to RANK formats), and was stronger when overall block desirability was low. The overarching aim is to contribute toward the development of psychometrically robust and faking-resistant personality measures.
Degree
thesis:*- Name thesis:degree_name
- Ph.D.
- Level thesis:degree_level
- Dissertation
- Discipline thesis:degree_discipline
- Psychology
- Grantor
- University of Illinois at Urbana-Champaign
- Year dc:date
- 2024
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Li, Mengtong
- Contributors dc:contributor
-
- Newman, Daniel A.
- Zhang, Bo
- Drasgow, Fritz
- Kern, Justin
- Zhang, Susu
Subjects
dc:subject × 4Rights
dc:rights- Statement dc:rights
-
- Copyright 2024 Mengtong Li
- Language dc:language
- en, eng
Identifiers
dc:identifier.*- Handle dc:identifier
- https://hdl.handle.net/2142/125780