generalizability
What Is Generalizability?
Generalizability is the extent to which research findings can be applied to populations, settings, and conditions beyond those specific to the original study. In polygraph research, generalizability is a central concern because findings from laboratory studies (with volunteer participants and mock crimes) must be generalised to real-world field conditions (with genuine suspects and actual crimes) where the psychological dynamics may differ significantly.
Generalizability Challenges in PDD Research
Several factors limit generalizability. Laboratory participants face lower stakes than real suspects, potentially reducing the fear of detection and other mechanisms driving polygraph responses. Student samples may not represent the demographic diversity of actual examinees. Mock crime scenarios may not replicate the emotional intensity of genuine criminal acts. These concerns are why field research with confirmed cases is essential for complementing laboratory findings.
Strategies for Enhancing Generalizability
Researchers enhance generalizability through: using diverse participant samples, creating high-stakes laboratory scenarios (with meaningful rewards and penalties), conducting cross-validation across independent samples, and comparing laboratory findings with field results. Meta-analyses that synthesise both laboratory and field studies provide the strongest generalizability assessment.
Practical Application
Understanding this concept contributes to the comprehensive knowledge base required for competent polygraph practice. The APA Standards of Practice and Code of Ethics require that examiners maintain the theoretical and practical knowledge necessary to conduct examinations competently, interpret data accurately, and communicate findings clearly in examination reports and, when required, in legal proceedings.
Cross-references
More practice terms in this glossaryNeed a lie detector test?
Book with an examiner trained to APA standards at one of our 140+ locations nationwide.