Percentage of Nonoverlapping Data
The Percentage of Nonoverlapping Data (PND) is a simple effect-size index for single-case research that summarizes how strongly a treatment phase departs from baseline by counting the share of treatment data points that lie beyond the most extreme baseline point. Introduced by Thomas Scruggs, Margo Mastropieri, and Glendon Casto in 1987 to allow quantitative synthesis of single-subject studies, it produces a single 0–100% number that complements visual analysis and can be aggregated across cases in a meta-analysis of single-case designs.
방법 전문 읽기
무료 계정으로 로그인하면 이 섹션을 읽을 수 있습니다.
방법 지도
관련 방법들로 이루어진 인접 영역 — 노드를 선택해 살펴보세요.
출처
- Scruggs, T. E., Mastropieri, M. A., & Casto, G. (1987). The quantitative synthesis of single-subject research: Methodology and validation. Remedial and Special Education, 8(2), 24–33. DOI: 10.1177/074193258700800206 ↗
- 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 ↗
이 페이지 인용 방법
ScholarGate. (2026, June 22). Percentage of Nonoverlapping Data for Single-Case Effect Estimation. ScholarGate. https://scholargate.app/ko/social-work/percentage-nonoverlapping-data
어떤 방법일까요?
이 방법을 가장 가까운 동류의 방법들과 나란히 놓고 비교해 보세요 — 라이브러리는 책을 펼쳐 놓을 뿐, 선택은 여러분의 몫입니다.
- Nonoverlap of All PairsSocial Work↔ 비교
- Single-System DesignSocial Work↔ 비교
- Tau-USocial Work↔ 비교
- Visual Analysis of Single-Case DataSocial Work↔ 비교