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Polygraph Glossary Scoring

RLL

Also known as — Respiration Line Length
Definition
A measurement feature used in automated polygraph scoring that calculates the total path length of the respiratory tracing over a defined time window. Shorter respiration line length following a relevant question (indicating suppression or holding of breath) is associated with deception. Used as an automated alternative to visual pattern recognition in manual scoring of pneumograph data.

What Is RLL?

RLL (Respiration Line Length) is a polygraph scoring concept. A measurement feature used in automated polygraph scoring that calculates the total path length of the respiratory tracing over a defined time window. Shorter respiration line length following a relevant question (indicating suppression or holding of breath) is associated with deception. Used as an automated alternative to visual pattern recognition in manual scoring of pneumograph data.

Role of RLL 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 RLL 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

RLL 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
TDATest Data Analysis The process of analysing recorded physiological data from a polygraph examination to reach a diagnostic or screening ... Adaptive Questioning A testing approach in which subsequent questions or test presentations are adjusted based on the examinee's physiolog... jackknife procedure The jackknife procedure is a statistical technique for testing a model by systematically excluding one data set at a ... Monte Carlo Method A statistical technique using repeated random sampling to calculate normative parameters for polygraph scoring decisi... dichotomous variables Dichotomous variables are those with only two mutually exclusive and exhaustive possibilities: yes/no, deceptive/trut... true positive A true positive is a correct PDD decision that the examinee is deceptive — an accurate outcome of deception detection...

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