Respuesta :
A between conditions analysis of the values of data in one condition that are the same as those in an adjacent condition is known as overlap.
It may be helpful to think of overlap as the percentage of data points in the intervention condition which are not improved relative to baseline when discussing the extent to which data through one state are at the same level as data from a neighboring condition. Since level is frequently the data change that interventionists care about the most, it may not be unexpected that early attempts to measure visual analysis of change across conditions were focused just on extent to which data were not overlapping in the anticipated direction, since non-overlap of data frequently coincides with variations in level.
So it is perhaps not surprising that level is often the data change that is most important to interventionists.. Thus, the amount of overlap is significant since it indicates level change, even if PND and other methods of quantifying overlap are quite sensitive to procedural factors. that is, both the study methods and the results have a significant impact on how well overlap-based indicators reflect changes in level.
To learn more about overlap here,
https://brainly.com/question/9034420
#SPJ4
