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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: 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. The Design and Analysis of Research Studies, p. 168 Effects of the intervention are evaluated by changes in the level and slope of the time series and statistical significance of the intervention parameters. Handbook of Psychology, Research Methods in Psychology, p. 582

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This article based upon the http://en.wikipedia.org/wiki/Interrupted_time_series, the free encyclopaedia Wikipedia and is licensed under the GNU Free Documentation License.
Further informations available on the list of authors and history: http://en.wikipedia.org/w/index.php?title=Interrupted_time_series&action=history
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