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August 15, 2025Open Access

Assessing Decision Thresholds in Primary School Students Using Signal Detection Theory: Validating an Adapted Version of the Beads Task

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Authors

LSLucas StarkBGBenjamin GoeckeAJAnn‐Kathrin Jaggy

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Overview

This research validates a new tool for assessing decision thresholds in children, suggesting implications for cognitive biases.

Key Points

  • The new instrument has high accuracy in measuring decision thresholds in children, improving our understanding of decision-making.
  • Receiver operating characteristic curves indicate a strong correlation between the adapted beads task and children's cognitive performance metrics.
  • The assessment utilized a signal detection analytical approach to objectively quantify decision thresholds in a sample of 299 students.
  • Findings highlight the relevance of understanding decision thresholds early, potentially influencing the development of cognitive biases.

Cite This Study

Stark et al. (2025) studied this question.

synapsesocial.com/papers/68a366930a429f797332bf9ehttps://doi.org/10.31234/osf.io/cmfbq_v2
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