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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यह खंड पढ़ने के लिए निःशुल्क खाते से साइन इन करें।
पद्धति मानचित्र
सम्बन्धित पद्धतियों का परिवेश — अन्वेषण हेतु किसी नोड का चयन करें।
स्रोत
- 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 ↗
इस पृष्ठ का उद्धरण कैसे दें
ScholarGate. (2026, June 22). Nonoverlap of All Pairs Effect Size for Single-Case Research. ScholarGate. https://scholargate.app/hi/social-work/nap-nonoverlap-all-pairs
कौन-सी पद्धति?
इस पद्धति को उसकी निकटतम सजातीय पद्धतियों के साथ रखकर उन्हें साथ-साथ पढ़ें — पुस्तकालय पुस्तकें मेज़ पर रख देता है; चुनाव आपका है।
- Percentage of Nonoverlapping DataSocial Work↔ तुलना करें
- Single-System DesignSocial Work↔ तुलना करें
- Tau-USocial Work↔ तुलना करें
- Visual Analysis of Single-Case DataSocial Work↔ तुलना करें