# name
Assessing Nonoverlap in Single-Case Data: Strengths Challenges and Recommendations

# metadata.dc.description.abstract[].value
Overlap is one of the data aspects that are expected to be assessed when visually
inspecting single-case experimental designs (SCED) data. A frequently used quanti-
fication of overlap is the Nonoverlap of All Pairs (NAP). The current article reviews
the main strengths and challenges when using this index, as compared to other nono-
verlap indices such as Tau and the Percentage of data points exceeding the median.
Four challenges are reviewed: the difficulty in representing NAP graphically, the
presence of a ceiling effect, the disregard of trend, and the limitations in using
p-values associated with NAP. Given the importance of complementing quantitative
analysis and visual inspection of graphed data, straightforward quantifications and
new graphical elements for the time-series plot are proposed as options for address-
ing the first three challenges. The suggestions for graphical representations (repre-
senting within-phase monotonic trend and across-phases overlaps) and additional
numerical summaries (quantifying the degree of separation in case of complete non-
overlap or the proportion of data points in the overlap zone) are illustrated with two
multiple-baseline data sets. To make it easier to obtain the plots and quantifications,
the recommendations are implemented in a freely available user-friendly website.
Educational researchers can use this article to inform their use and application of
NAP to meaningfully interpret this quantification in the context of SCEDs

# metadata.dc.rights[].value
cc-by-nc-nd (c) Manolov Rumen et al., 2024

# metadata.dc.source[].value
Articles publicats en revistes (Psicologia Social i Psicologia Quantitativa)

# metadata.dc.title[].value
Assessing Nonoverlap in Single-Case Data: Strengths Challenges and Recommendations