Polygraph Glossary Scoring

Criterion Accuracy

Definition
The percentage of correct polygraph decisions when measured against independently confirmed ground truth. Criterion accuracy is calculated separately for deceptive cases (sensitivity) and truthful cases (specificity). APA meta-analyses report criterion accuracy rates exceeding 86% for validated techniques using approved scoring methods, with some algorithms exceeding 90%.

What Is Criterion Accuracy?

Criterion Accuracy is a polygraph scoring concept. The percentage of correct polygraph decisions when measured against independently confirmed ground truth. Criterion accuracy is calculated separately for deceptive cases (sensitivity) and truthful cases (specificity). APA meta-analyses report criterion accuracy rates exceeding 86% for validated techniques using approved scoring methods, with some algorithms exceeding 90%.

Role of Criterion Accuracy in Polygraph Scoring

Scoring methodology is one of the most critical factors affecting polygraph accuracy. The evolution from subjective global evaluation to structured numerical scoring and automated algorithms has significantly improved the reliability and reproducibility of polygraph results, as measured by interrater reliability studies.

Modern scoring approaches analyse physiological responses across multiple channels — electrodermal activity (considered the most diagnostically powerful single channel), respiratory patterns, and cardiovascular changes — using validated Kircher features that have demonstrated replicable diagnostic value across decades of research.

Practical Application

APA Standards of Practice require the use of validated scoring methods for all diagnostic and screening polygraph examinations. The choice of scoring system directly affects the cut-scores applied for classification decisions (Deception Indicated, No Deception Indicated, or Inconclusive) and the overall balance between false positives and false negatives.

Related Terms

Understanding Criterion Accuracy in context requires familiarity with several related polygraph concepts:

See also: Adaptive Questioning, Base Rate, Bayesian Analysis, Bootstrap Method, Chart, CPS.

Further Reading

For more information on polygraph terminology and the science of lie detection, explore the full Polygraph Glossary with over 250 defined terms. Visit the Polygraph Examiner Hub for professional resources, the research database for published polygraph studies, or learn how a polygraph works if you are preparing for an examination.

Key Takeaways

Criterion Accuracy is an important concept within the field of Psychophysiological Detection of Deception. Whether you are a polygraph examiner, student at an APA-accredited training program, legal professional evaluating polygraph evidence, or a private individual preparing for a lie detector test, understanding this term and its relationship to other polygraph concepts will help you navigate the field with greater confidence and knowledge.

The science of polygraph testing has evolved significantly over more than 100 years, from the early work of William Moulton Marston and Leonarde Keeler to today's digital instruments and validated scoring algorithms. Every term in this glossary represents a piece of that scientific and professional heritage. For a comprehensive overview, visit the Polygraph Examiner Hub or use our examiner selection guide to find a professional examiner near you.

Cross-references

More scoring terms in this glossary
Probability Estimate A numerical value expressing the likelihood that an examinee is deceptive or truthful, calculated by computerised sco... Fleiss' kappa Fleiss' kappa is a statistical measure of agreement among multiple raters classifying items into categories. In PDD, ... Discriminant Analysis A statistical classification method used in several polygraph scoring algorithms (including PolyScore and CPS) to sep... type I error A Type I error is the probability of rejecting a true null hypothesis — incorrectly concluding deception when the exa... type II error A Type II error is the probability of not rejecting a false null hypothesis — failing to detect deception when it is ... Kircher Features A set of physiological response features first described by researchers at the University of Utah in the 1980s. Inclu...

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