Quantitative methods for sibgle case research are versatile and powerful tools for assessment, therapy, and fundamental research. Two types of methods are presented: grid methods and time series methods. In gred methods, an individual fills in a matrix with symbols representing the relationships between the row headers and the column headers, at one point in time. In time series methods, data concerning one or more variables are collected at several moments in time. For both types of methods, several data-analytical techniques are available to gain insight into the phenomenon or the person studied. The two types of methods and the data-analytical possibilities are illustrated with a case study about a man suffering from the "painful legs and moving toes" syndrome. In the grid illustration, an hierarchical classes (HICLAS) analysis is worked out, and in the time series analysis, autoregressive integrated moving average (ARIMA) modeling. Markov modeling, and HICLAS time series analysis are presented. Finally, some caveats about single case research and the use of quantitative methods are discussed.
Abstract