Challenges in detecting proximal effects of existential threat on lie detection accuracy

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

Authors

The present work documents our investigation of proximal (i.e., immediate) effects of existential threat on the process of lie detection. Specifically, we hypothesized that lie detection accuracy will be higher in a mortality salience (MS) condition compared with the control condition. In two lab-based studies (N = 120; N = 109) and one internet study (N = 1294), we did not find any evidence for this hypothesis, that is, MS effects on lie detection accuracy were constantly not significant. However, these null findings should not be overstated. Instead, the present contribution aims to reveal the theoretical and methodological challenges in properly testing proximal MS effects on lie detection accuracy. First, we make transparent that our theoretical assumptions regarding the underlying mechanisms changed during the research process from MS-induced vigilance (Studies 1 and 2) to MS-induced negative affect (Study 3) and remain speculative. Moreover, we show how and why we adapted the operationalization from study to study to optimize adequate testing of the idea. In sum, this work aims to be informative for conducting future research rather than to provide conclusive evidence against or in favor of the investigated idea.

OriginalspracheEnglisch
ZeitschriftCurrent Psychology
Jahrgang42
Ausgabenummer25
Seiten (von - bis)22114-22126
Anzahl der Seiten13
ISSN1046-1310
DOIs
PublikationsstatusErschienen - 09.2023
Extern publiziertJa

Bibliographische Notiz

Funding Information:
Open Access funding enabled and organized by Projekt DEAL. This work was supported by a Grant of the German Research Foundation (DFG; Grant ID SCHI 1341/2–1) to Simon Schindler.

Publisher Copyright:
© 2022, The Author(s).

DOI

Zuletzt angesehen

Publikationen

  1. The professional context as a predictor for response distortion in the Adaption-Innovation-Inventory – An investigation using mixture-distribution item-response theory models
  2. Industrial applications using wavelet packets for gross error detection
  3. Introduction
  4. Systematic feature evaluation for gene name recognition
  5. A cognitive mapping approach to understanding public objection to energy infrastructure
  6. Public Value: rethinking value creation
  7. Predicate‐based model of problem‐solving for robotic actions planning
  8. Octanol-Water Partition Coefficient Measurement by a Simple 1H NMR Method
  9. Approximate tree kernels
  10. Mathematical Modeling for Robot 3D Laser Scanning in Complete Darkness Environments to Advance Pipeline Inspection
  11. Introducing split orders and optimizing operational policies in robotic mobile fulfillment systems
  12. Metrics for Experimentation Programs: Categories, Benefits and Challenges
  13. Scholarly Question Answering Using Large Language Models in the NFDI4DataScience Gateway
  14. Application of design of experiments for laser shock peening process optimization
  15. A survey of empirical studies using transaction level data on exports and imports
  16. A Wavelet Packet Algorithm for Online Detection of Pantograph Vibrations
  17. Processing of CSR communication: insights from the ELM
  18. Experimentally established correlation of friction surfacing process temperature and deposit geometry
  19. Guest Editorial - ''Econometrics of Anonymized Micro Data''
  20. Performance Saga: Interview 01
  21. Active learning for network intrusion detection
  22. A Lyapunov based PI controller with an anti-windup scheme for a purification process of potable water
  23. Embarrassment as a public vs. private emotion and symbolic coping behaviour
  24. Intraspecific trait variation increases species diversity in a trait-based grassland model
  25. »HOW TO MAKE YOUR OWN SAMPLES«
  26. Imaginary practices as the nexus between continuity and disruptive change
  27. Polar Coordinates and Interactive Learning
  28. Developing a sustainable platform for entity annotation benchmarks
  29. Meta-Image – a collaborative environment for the image discourse
  30. Gaining deep leverage? Reflecting and shaping real-world lab impacts through leverage points