Signal Detection Analysis
CommunityApply SDT to cognitive data with clarity.
AuthorHaoxuanLiTHUAI
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Domain-validated decision logic, formulas, and interpretation guidelines for applying Signal Detection Theory to cognitive science data.
Core Features & Use Cases
- Yes/No and 2AFC analysis: compute d', da, and Az, with bias measures (c, c', beta) and ROC-based estimates.
- Unified guidance for thresholds, extreme-proportions corrections, and unequal-variance modeling across memory, perception, and diagnostic domains.
- Use Case: Researchers evaluating recognition memory or perceptual detection can separate sensitivity from criterion to interpret results accurately.
Quick Start
Provide a ready-to-run SDT analysis on your data by computing H, FA, d', and ROC metrics from observed responses.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: Signal Detection Analysis Download link: https://github.com/HaoxuanLiTHUAI/awesome_cognitive_and_neuroscience_skills/archive/main.zip#signal-detection-analysis Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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