Detecting faking-good response style in personality questionnaires with four choice alternatives.

ABSTRACT: Deliberate attempts to portray oneself in an unrealistic manner are commonly encountered in the administration of personality questionnaires. The main aim of the present study was to explore whether mouse tracking temporal indicators and machine learning models could improve the detection of subjects implementing a faking-good response style when answering personality inventories with four choice alternatives, with and without time pressure. A total of 120 volunteers were randomly assigned to one of four experimental groups and asked to respond to the Virtuous Responding (VR) validity scale of the PPI-R and the Positive Impression Management (PIM) validity scale of the PAI via a computer mouse. A mixed design was implemented, and predictive models were calculated. The results showed that,

SUBMITTER: Monaro M 

PROVIDER: S-EPMC8476468 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature