Scoring

signal detection theory

Signal detection theory (SDT) quantifies a test's capacity to discriminate between signal (deception) and noise (truthfulness). Using SDT, optimal cutting scores can be calculated balancing the costs and benefits of different error types. It is foundational to ROC Curve analysis in PDD.

What Is Signal Detection Theory?

Signal detection theory (SDT) quantifies a test’s capacity to discriminate between signal (deception) and noise (truthfulness). Using SDT, optimal cutting scores can be calculated balancing the costs and benefits of different error types. It is foundational to ROC Curve analysis in PDD.

Professional Standards

The American Polygraph Association Standards of Practice govern the use of polygraph techniques and scoring methods. Only validated techniques with published peer-reviewed research support should be used for diagnostic purposes. The test data analysis method must be approved and applied consistently to ensure reliable and defensible results.

Research Basis

For access to the published research supporting polygraph techniques and scoring methods, visit the polygraph research database. Understanding the empirical foundation of each technique is essential for practitioners, researchers, and those evaluating polygraph evidence.

Professional Context

This concept forms part of the knowledge base expected of qualified forensic psychophysiologists. Training at APA-accredited schools covers the theoretical foundations, practical applications, and research evidence underlying all aspects of polygraph methodology. Ongoing continuing education ensures practitioners stay current with developments in the field.