Interrupted time series

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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).[1] Interrupted time series design is the design of experiments based on the interrupted time series approach.

Applications include various research in social sciences:

The ITS design is the base of the comparative time series design, whereby there is a control series and an interrupted series, and the effect of an intervention is confirmed by the control series.[2]

Effects of the intervention are evaluated by changes in the level and slope of the time series and statistical significance of the intervention parameters.[3]

See also[edit]


  1. ^ a b c d e Interrupted Time Series Analysis, Sage Publications, Inc., 1980, Editor's Introduction, pp. 5, 6
  2. ^ The Design and Analysis of Research Studies, p. 168
  3. ^ Handbook of Psychology, Research Methods in Psychology, p. 582