“…The Tau nonoverlap effect size is a robust measure of nonoverlap of all pairs of data points between two conditions (Parker, Vannest, Davis, & Sauber, 2011b). A number of meta-analyses have used the nonparametric statistics of Tau or Tau- U (that controls for baseline trend) and nonoverlap of all pairs (NAP, which differs from Tau/Tau- U in scale; Parker, Vannest, & Davis, 2011a) to measure effects (e.g., Ledford et al, 2018; Ninci et al, 2015; Roth, Gillis, & DiGennaro Reed, 2014). These methods fit the assumptions of single-case design and consider all data (Parker et al, 2011a, 2011b).…”