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Assessing decision thresholds in primary school students using signal detection theory: validating an adapted version
Lucas Stark1, Benjamin Goecke1, Ann-Kathrin Jaggy1
1Hector Research Institute of Education Sciences and Psychology, University of Tübingen, Walter-Simon-Str. 12, 72072 Tübingen, Germany.
Journal of Experimental Child Psychology
|August 2, 2025
Summary
This study introduces a new tool to measure children's decision thresholds using objective probabilities, crucial for understanding cognitive biases like superstition and conspiracy beliefs from an early age.
Area of Science:
- Cognitive Psychology
- Developmental Psychology
- Decision Science
Background:
- Decision thresholds influence certainty and decision-making.
- Lower thresholds are linked to superstitious and conspiracy beliefs.
- Existing measures are limited to adults and subjective estimates.
Purpose of the Study:
- Validate a new instrument to measure decision thresholds in children.
- Utilize objective probability values and a signal detection approach.
- Investigate early cognitive biases and decision-making processes.
Main Methods:
- Developed and validated a new instrument for measuring decision thresholds in children.
- Employed a signal detection analytical approach with objective probability values.
- Assessed N = 299 children from an enrichment program.
Main Results:
- Receiver operating characteristic curves demonstrated high sensitivity of the new instrument.
- Construct validity was supported by positive associations with confirmation bias, age, grade, and math performance.
- No significant associations were found with alternation bias, epistemic certainty, self-concept, self-efficacy, or gender.
Conclusions:
- Introduced a novel, valid instrument for assessing children's decision thresholds using objective probabilities.
- Provides insights into the development of cognitive biases and related constructs in early development.
- Highlights the importance of studying decision thresholds in children to understand phenomena like superstition and conspiracy beliefs.
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Reliability and Validity
Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
Data Validation
Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
Key parameters for method validation include:
Key parameters for method validation include:

