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September 10, 2025Journal of Experimental Child PsychologyOpen 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 study demonstrates a new method for assessing decision thresholds in children, indicating its potential connections to cognitive biases.

Key Points

  • The new measurement instrument shows high sensitivity in assessing decision thresholds in children, helping understand cognitive processes.
  • Receiver operating characteristic curves highlighted the instrument’s robust performance, indicating its effectiveness in evaluations.
  • Assessment involved 299 children from an enrichment program, focusing on validating the decision threshold measure within this population.
  • These findings suggest the potential for understanding cognitive biases and decision-making processes that develop early in life.

Cite This Study

Stark et al. (2025) studied this question.

synapsesocial.com/papers/68c1a5f854b1d3bfb60dfce3https://doi.org/10.1016/j.jecp.2025.106346
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Assessing Decision Thresholds in Primary School Students Using Signal Detection Theory: Validating an Adapted Version of the Beads Task2025
  2. 2Decision-making in contexts of risk and uncertainty: An instrument for secondary education2025
  3. 3COMPARISON OF RATIOS AND THE CHANCE CONCEPT IN CHILDREN1970 · 51 citations
  4. 4A novel bias-free approach for robust perceptual threshold estimation2026
  5. 5Signal detection theoretic estimates of the murine absolute visual threshold are independent of decision bias2024 · 2 citations