Abstract
An evaluation of the Percentage of Nonoverlapping Data (PND) approach for quantifying outcomes of single-subject research reveals that it is potentially too sensitive to atypical baseline data, not powerful enough to discriminate important treatment differences, and adversely affected by even subtle trends in the data. Suggestions for correcting some of the problems are provided, but the overall recommendation is for additional empirical studies before admitting any such metric into accepted practice.
Full Text 
Sign-in/Register to access full text options
Sign-in/Register to access full text options 
Published version (
Free)
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
