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.
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Sumber
- 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 ↗
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ScholarGate. (2026, June 22). Percentage of Nonoverlapping Data for Single-Case Effect Estimation. ScholarGate. https://scholargate.app/ms/social-work/percentage-nonoverlapping-data
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- Nonoverlap of All PairsSocial Work↔ banding
- Single-System DesignSocial Work↔ banding
- Tau-USocial Work↔ banding
- Visual Analysis of Single-Case DataSocial Work↔ banding
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