The Confidence Database

Area of Science:

• Cognitive Neuroscience
• Psychology
• Data Science

Background:

• Confidence ratings are crucial for understanding cognitive processes.
• Existing research on confidence is fragmented across various studies and fields.
• A centralized, standardized database is needed for comprehensive analysis.

Purpose of the Study:

• To establish a large, accessible database of confidence studies.
• To facilitate the analysis of confidence across diverse paradigms and populations.
• To provide a resource for future research on metacognition and decision-making.

Main Methods:

• Compiled 145 datasets from over 8,700 participants and nearly 4 million trials.
• Structured data in a common, user-friendly format for easy analysis.
• Included explanations for each dataset's collected data.

Main Results:

• Demonstrated the utility of the database through four distinct analytical applications.
• Provided precise estimations of foundational confidence-related effects.
• The Confidence Database is publicly available and continuously updated.

Conclusions:

• The Confidence Database is a valuable, growing resource for researchers.
• Enables robust investigation into the mechanisms of confidence.
• Supports advancements in understanding perception, memory, motor control, and cognition.