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Process / pipelineSingle-case nonoverlap statistics

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.

Fungua katika MethodMindHivi karibuniTumia, linganisha, pata mwongozo
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Vyanzo

  1. 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
  2. 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

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 22). Percentage of Nonoverlapping Data for Single-Case Effect Estimation. ScholarGate. https://scholargate.app/sw/social-work/percentage-nonoverlapping-data

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ScholarGatePercentage of Nonoverlapping Data (Percentage of Nonoverlapping Data for Single-Case Effect Estimation). Imepatikana 2026-06-24 kutoka https://scholargate.app/sw/social-work/percentage-nonoverlapping-data · Seti ya data: https://doi.org/10.5281/zenodo.20539026