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1/ 🔥New study on lying🔥

Preprint: psyarxiv.com/t7s32/

Can deception be studied and measured as a personality trait? How do we vary in regards to our tendency to lie? What is the relationship between lying and other traits and demographic variables?

A short summary 👇
2/ Being arguably a common and universal phenomenon with possibly important consequences, and despite its intriguing neurocognitive grounding, deception appears in fact as under-studied outside of specific fields (such as #forensicpsych and #criminology) 🤔
3/ Often investigated as a behaviour (or a process), we decided to adopt a dispositional approach and explore deception as a "trait". Curiously, we found that a lack of validated questionnaire to measure the "tendency to lie" 🤥
4/ To fill this gap, we developed and validated a 16-item questionnaire (#nonWEIRD n = 1011) to measure patterns and individual characteristics related to deception. Importantly, 4 latent dimensions emerged: Frequency 📈, Ability 💪, Negativity 😈, and Contextuality🤷‍♂️
5/ But these facets were not entirely independent, suggesting some level of specificity of the construct of "deception". As a result, clusters of individuals - or profiles (i.e., regions of higher density in the multidimensional space) could be present in the general population👽
6/ We also outline relationships between lying and other variables, such as normal #personality, pathological personality, #impulsivity, #psychopathy, #narcissism and of course, #socialdesirability 🤭
7/ As well as with demographic characteristics such as age, sex, and religiosity🙏
8/ Although useful to generate hypotheses, the self-reported nature of this study comes with inherent limitations. Therefore, the next step is to show how dispositional deception relates to actual lying behaviour in an experimental setting😏 #WorkingOnIt
9/ Of course, in the spirit of honest science, the data and the analysis script is available and fully reproducible thanks to #rstats #easystats @Qualtrics #openscience 😍Beautiful figures only with #ggplot #ggraph 🎨
10/ And big thanks and kudos to the co-authors @tampham94 (it's her first paper 🥳👏) and @ZenJuen for their incredible work. A study by @DrAnnabelChen and @cblntu at @NTUsg
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