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Including a control group that does not experience the treatment or event. The inclusion of a second time series as a comparison group aids in providing a safeguard against some of the challenges to the Single Interrupted Time Series .
The treatment group's introduction of the independent variable X is followed by several waves of observation in both groups before and after that. both a control and a treatment group. Some subjects in experimental research receive a stimulus known as a treatment (the treatment group), while other subjects do not receive such a stimulus. Subjects in the treatment group who perform better on outcome variables than those in the control group may be considered to have received a successful course of treatment. There may be more than one treatment group if different levels of the experimental stimulus are applied. The term "interrupted time series analysis" (ITS), also known as "quasi-experimental time series analysis," refers to a technique for evaluating statistical data that entails comparing a long-term period before and after a point of intervention in order to determine the intervention's impact. The design of experiments based on the interrupted time series approach is thus known as interrupted time series design. It is a time series design, in other words, where the "treatment" is a standalone or naturally occurring event, like a historical event.
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