In the analysis of single-case data, it has been found that
A) graphical data plots are best, because they cannot be used to distort treatment effects.
B) the observations made at different intervals of the experiment are susceptible to serial dependency.
C) the percentage of treatment data points that exceed the highest baseline data point yields highly misleading results.
D) analysis of variance for repeated measures is superior to any other statistical technique.

Question

Quizplus · Accepted Answer

Serial dependency refers to the idea that observations in a time series (like those in single-case designs) can be correlated with preceding observations, which can complicate the analysis and interpretation of the data. This is a recognized issue in the analysis of single-case data, where the independence of observations, a key assumption in many statistical analyses, is violated.

In the Analysis of Single-Case Data, It Has Been Found