NCJ Number
226985
Journal
Polygraph Volume: 38 Issue: 1 Dated: 2009 Pages: 77-88
Date Published
2009
Length
12 pages
Annotation
This paper proposes a focused approach for polygraph screening that is derived from a validated polygraph screening technique developed at the Department of Defense Polygraph Institute (now the Defense Academy for Credibility Assessment), along with advice on selecting investigation targets.
Abstract
The proposed screening technique is called the Directed-Lie Screening Test (DLST). This test contains two neutral questions (N1 and N2), a sacrifice relevant question (SR), two separate relevant questions (R1 and R2), and two comparison questions (C1 and C2). The sequence for presenting these questions is provided. Presentation of the question sequence is intended to be standardized, except when it is necessary to present an additional neutral question before proceeding with the next test question. Additional presentations are allowed when three artifact-free presentations of each have not been obtained. After presenting and discussing the question sequence, the paper discusses test data analysis and decision criteria. The test data are hand-scored with validated scoring criteria by comparing the relevant question response to the stronger response of an adjacent comparison question for each component sensor question. Hand-scored results for each relevant question are totaled, along with the grand total for the examination as a whole. The discussion of target selection notes that the selection of investigation targets is an important consideration prior to the examination. The authors suggest that the selection of investigation targets be informed by risk-prediction and risk-management research, consistent with current understanding of the psychological and physiological mechanisms upon which the polygraph technique depends. These issues are discussed in the context of Post Convicted Sex Offender Testing (PCSOT) polygraph monitoring programs. Countermeasures that might be used by examinees are also explored, and one example of the application of the DLST is presented. 6 figures and 33 references