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Application of the percentage of non-overlapping data (PND) in systematic reviews and meta-analyses: A systematic review of reporting characteristics

Ralf W. Schlosser, David L. Lee, Oliver Wendt

Open publisher page 86 citations

Abstract

The percentage of non-overlapping data (PND; Scruggs, Mastropieri, & Casto, 1987) is one of several outcome metrics for aggregating data across studies using single-subject experimental designs. The application of PND requires the systematic reviewer to make various decisions related to the inclusion of studies, extraction of data, and analysis and interpretation of data. The purpose of this systematic review was to determine the reporting characteristics associated with the application of PND in systematic reviews and meta-analyses. The authors engage in a discussion of the reporting characteristics found in the data set and propose several directions for future applications and reporting of PND in systematic reviews.

About this research paper

What this paper is about

The percentage of non-overlapping data (PND; Scruggs, Mastropieri, & Casto, 1987) is one of several outcome metrics for aggregating data across studies using single-subject experimental designs. The application of PND requires the systematic reviewer to make various decisions related to the inclusion of studies, extraction of data, and analysis and interpretation of data. The purpose of this systematic review was to determine the reporting characteristics associated with the application of PND in systematic reviews and meta-analyses. The authors engage in a discussion of the reporting characteristics found in the data set and propose several directions for future applications and reporting of PND in systematic reviews.

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OpenAlex reports 86 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The percentage of non-overlapping data (PND; Scruggs, Mastropieri, & Casto, 1987) is one of several outcome metrics for aggregating data across studies using single-subject experimental designs. The application of PND requires the systematic reviewer to make various decisions related to the inclusion of studies, extraction of data, and analysis and interpretation of data. The purpose of this systematic review was to determine the reporting characteristics associated with the application of PND in systematic reviews and meta-analyses. The authors engage in a discussion of the reporting characteristics found in the data set and propose several directions for future applications and reporting of PND in systematic reviews.

Key concepts: Systematic review, Data extraction, Meta-analysis, Systematic error, Data set, Computer science, Set (abstract data type), Data mining

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