Nonoverlap of All Pairs
Nonoverlap of All Pairs (NAP) is an effect-size index for single-case research that measures how completely a treatment phase separates from a baseline phase by examining every possible pairing of a baseline point with a treatment point. Introduced by Richard Parker and Kimberly Vannest in 2009 as an improvement on the Percentage of Nonoverlapping Data, NAP reports the proportion of those pairs in which the treatment point shows improvement, is mathematically equivalent to the area under a ROC curve and the Mann-Whitney statistic, and therefore carries a known sampling distribution that supports confidence intervals and significance testing.
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Izvori
- Parker, R. I., & Vannest, K. J. (2009). An improved effect size for single-case research: Nonoverlap of all pairs. Behavior Therapy, 40(4), 357–367. DOI: 10.1016/j.beth.2008.10.006 ↗
- Parker, R. I., Vannest, K. J., & Davis, J. L. (2011). Effect size in single-case research: A review of nine nonoverlap techniques. Behavior Modification, 35(4), 303–322. DOI: 10.1177/0145445511399147 ↗
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ScholarGate. (2026, June 22). Nonoverlap of All Pairs Effect Size for Single-Case Research. ScholarGate. https://scholargate.app/sr/social-work/nap-nonoverlap-all-pairs
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- Percentage of Nonoverlapping DataSocial Work↔ uporedi
- Single-System DesignSocial Work↔ uporedi
- Tau-USocial Work↔ uporedi
- Visual Analysis of Single-Case DataSocial Work↔ uporedi
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