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Too Good to Be True: Comparing Self-Reported Lying Habits Among Credible and Non-Credible Responders
Natacha Henriquez1, Irena Bošković1,2, Rianne Kok1
1Department of Psychology, Education & Child Studies, Erasmus University Rotterdam, Rotterdam, the Netherlands.
Extreme positive response bias, or supernormality, significantly impacts self-reported lying behavior. Individuals exhibiting supernormality reported less lying, indicating potential underestimation in sensitive behavior research.
Area of Science:
- Psychology
- Social Psychology
- Behavioral Science
Background:
- Self-report is a common research method for behavior assessment.
- Self-report data can be biased, especially for socially undesirable behaviors like dishonesty.
- Positive response bias, or "faking good," can lead to inaccurate self-assessments.
Purpose of the Study:
- To investigate the influence of supernormality, an extreme positive response bias, on self-reported lying behavior.
- To determine if individuals with supernormality exhibit different lying patterns compared to credible individuals.
- To assess the impact of extreme response bias on the validity of self-report measures for sensitive behaviors.
Main Methods:
- A quantitative study involving 777 participants completing an online survey.
- Assessment of supernormality using the Supernormality Scale-Revised (SS-R).
- Categorization of participants into "supernormal" and "credible" groups based on SS-R scores.
- Examination of group differences in various dimensions of lying behavior.
Main Results:
- The supernormal group reported significantly lower lying frequency than the credible group.
- Supernormal individuals reported greater unwillingness to lie due to internal factors (higher negativity).
- The supernormal group exhibited lower contextuality, relational lying, and antisocial lying, indicating a systematic response bias.
Conclusions:
- Extreme positive response bias (supernormality) systematically influences self-reported lying.
- Supernormality can lead to the underestimation of socially undesirable behaviors in self-report research.
- Researchers must account for response biases to ensure the accuracy of findings on sensitive behaviors.
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