Visual Analysis
Single case design data are presented through graphs because it allows for more than one participant’s engagement in the study. Visual research involves evaluating the data’s levels, trends, and stability within each phase, followed by examining data consistency through pattern analysis and overlapping events at specific time points. Finally, when the changes are consistent over time, it is concluded that the effects are from the intervention, and there is a need for correlation analysis.
Within-Phase Analysis
This data analysis procedure involves evaluating the stability, trends, and levels of data at every collection phase. For instance, central tendency models such as mean and median help report an increase or decrease in the data collected at different stages by comparing the means between different phases. Also, the percentage of data help to determine whether the within-phase stability criterion interprets anything above 85% of data falls within the 15% range of the average data phase as satisfactory. Therefore, within-phase analysis allows the researcher to study the trends at specific time points.