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Problematic personality correlations associated with gist reading, financial pressure, and rejection fears

Jones, Daniel N. ; Taylor, Tory ; Hanna, Alexis

Personality and individual differences, 2024-02, Vol.217, p.112450, Article 112450 [Periódico revisado por pares]

Elsevier Ltd

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  • Título:
    Problematic personality correlations associated with gist reading, financial pressure, and rejection fears
  • Autor: Jones, Daniel N. ; Taylor, Tory ; Hanna, Alexis
  • Assuntos: Crowdsourcing ; Dark tetrad ; Dark triad ; Machiavellianism ; MTurk ; Online surveys ; Prolific ; Psychopathy
  • É parte de: Personality and individual differences, 2024-02, Vol.217, p.112450, Article 112450
  • Descrição: Amazon's MTurk is a popular source of data for personality researchers. However, recent papers suggests that Dark Triad and Dark Tetrad correlations are inflated within crowdsourcing samples. We argue that low pay exacerbates the need to get through a survey as quickly as possible. In combination with low pay, crowdsourced workers must also worry about their work being rejected if they appear incoherent. Consequently, participants are incentivized to rush through measures such as personality surveys while trying to maintain an image of cohesion. In two studies (N = 361), we found that gist reading in online surveys is common. Further, we found that fear of rejected work was highest on MTurk, and that MTurk samples showed higher psychopathy-Machiavellianism correlations than Prolific or student samples. Finally, when fear of rejection and gist reading were high, the relationship between Machiavellianism and psychopathy was inflated. In sum, we argue that researchers who pay low hourly wages and place workers under fear of rejected work may be creating an artificial inflation among correlations of overlapping but distinct personality assessments. Thus, gist reading may explain some of the variance with respect to the inflated correlations among related constructs, particularly in samples of MTurk workers. •Correlations among the Dark Triad are unusually high with crowdsourcing populations.•These correlations may be especially exaggerated when pay is low and rejection risk high.•Individuals facing these pressures are more likely to “gist” read or skim content.•Gist reading inflates the correlations between overlapping but distinct constructs.•Safeguards are needed against gist reading to avoid inflating correlations among related assessments.
  • Editor: Elsevier Ltd
  • Idioma: Inglês
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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