Interrupted time series
Interrupted time series analysis, sometimes known as quasi-experimental time series analysis, is an approach for the analysis of a single time series of data known or conjectured to be affected by interventions (controlled external influences).Interrupted Time Series Analysis, Sage Publications, Inc., 1980, Editor's Introduction, pp. 5, 6 Interrupted time series design is the design of experiments based on the interrupted time series approach. Applications include various research in social sciences:
- political science: impact of changes in laws on the behavior of people; see, e.g., Effectiveness of sex offender registration policies in the United States#Interrupted time series analysis studies.
- economics: impact of changes in credit controls on borrowing behavior
- sociology: impact of experiments in income maintenance on the behavior of participants in welfare programs
- history: impact of major historical events on the behavior of those affected by the events
- medicine: in medical research, medical treatment is an intervention whose effect are to be studied