Graphical analysis of single‐case time series data
Stephen Morley, Malcolm Adams · British Journal of Clinical Psychology · 1991
This article outlines the major principles for constructing good graphs and visual displays. Several methods for exploring time series data with graphical techniques are given: these include procedures for summarizing the central tendency of data, plotting linear and non-linear trend, and displaying variability and change in variability over time. We emphasize the need to explore single-case data thoroughly in order to highlight various components. Graphical analysis should be conducted in tandem with statistical analysis.