title: Graphical analysis of single-case time series data.
abstract: 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.
authors.affiliation: Department of Psychiatry, University of Leeds, UK.
authors.forename: S
authors.initials: S
authors.lastname: Morley
authors.forename: M
authors.initials: M
authors.lastname: Adams
mesh_terms: D003626:Data Display; D008433:Mathematics; D008962:Models, Theoretical; D012107:Research Design; D013223:Statistics as Topic / Q000379:methods*