A simplified time-series analysis for evaluating treatment interventions.

Time-series analysis procedures for analyzing behavior data are receiving increasing support. However, several authorities strongly recommend using at least 50-100 points per experimental phase. A complex mathematical model must then be empirically developed using computer programs to extract serial dependency from the data before the effects of treatment interventions can be evaluated. The present discussion provides a simple method of evaluating intervention effects that can be used with as few as 8 points per experimental phase. The calculations are easy enough to do by hand.