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Title: Percentage of nonoverlapping corrected data
Author: Manolov, Rumen
Solanas Pérez, Antonio
Keywords: Investigació de cas únic
Psicologia de l'aprenentatge
Single subject research
Psychology of learning
Issue Date: 2009
Publisher: Springer Verlag
Abstract: The present study proposes a modification in one of the most frequently applied effect size procedures in single-case data analysis the percent of nonoverlapping data. In contrast to other techniques, the calculus and interpretation of this procedure is straightforward and it can be easily complemented by visual inspection of the graphed data. Although the percent of nonoverlapping data has been found to perform reasonably well in N = 1 data, the magnitude of effect estimates it yields can be distorted by trend and autocorrelation. Therefore, the data correction procedure focuses on removing the baseline trend from data prior to estimating the change produced in the behavior due to intervention. A simulation study is carried out in order to compare the original and the modified procedures in several experimental conditions. The results suggest that the new proposal is unaffected by trend and autocorrelation and can be used in case of unstable baselines and sequentially related measurements.
Note: Versió postprint del document publicat a:
It is part of: Behavior Research Methods, 2009, vol. 41, num. 4, p. 1262-1271
Related resource:
ISSN: 1554-351X
Appears in Collections:Articles publicats en revistes (Psicologia Social i Psicologia Quantitativa)

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