Question

Explain how an interrupted time series analysis can be reinterpreted as a regression discontinuity design.

Answer 1

Interrupted time series analysis is a very important evaluation method in which a single observation is evaluated and studied. First of all, all the observations are arranged serially as a time series and then the serial is expected to interrupt at certain level after its introduction. This interruption in time series analysis may be due to the treatment of that problem particularly . Sensitivity analysis is used to study proper structural breaks in the given time series . Optimal discriminant analysis(ODA) a machine learning algorithm is basically used to solve this type of interruption algorithms to identify structural breaks prior to the introduction. ODA analyses numerous strcutural breaks to observe flaws and analysis.

It can be reinterpreted as Regression discontinuity design as this design also uses set of continuous numerical data such as any treatment as we discussed earlier. The data which is in the given suitable range in used in intervention whilst the outside range data is control groups that do not comes under intervention . After that data under experimentation and control groups in reinterpreted to determine the effectiveness.

This type of models are used basically in field of education or health.