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Reconstructing individual responses to direct questions: a new method for reconstructing malingered responses
Graziella Orrù1, Erica Ordali2, Merylin Monaro3
1Department of Surgical, Medical, Molecular & Critical Area Pathology, University of Pisa, Pisa, Italy.
This study shows that estimating peers' responses can predict an individual's answers, aiding in detecting deception. This false consensus effect method reconstructs true responses when individuals may be untruthful.
Area of Science:
- Psychology
- Social Psychology
- Forensic Psychology
Background:
- The false consensus effect describes overestimating the prevalence of one's own opinions.
- This cognitive bias can be leveraged to infer individual responses based on peer estimations.
Purpose of the Study:
- To demonstrate that individual responses can be predicted by estimating peers' answers.
- To validate a technique for reconstructing individual and overall test responses for malingering detection.
Main Methods:
- Two studies were conducted using questionnaires on anxiety and the Dark Triad.
- Machine learning models were employed to predict individual responses based on peer estimations.
- A total of 187 participants were involved across both studies.
Main Results:
- Individual yes/no responses were predicted with 70-80% accuracy.
- Overall test scores were predicted with a correlation of 0.7-0.77 against actual results.
Conclusions:
- The false consensus effect provides a promising method for reconstructing truthful responses in forensic contexts.
- This technique is effective for malingering detection when genuine responses are suspect or missing.
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