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Interrupted Time Series Analysis

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Describes ARIMA or Box Tiao models, widely used in the analysis of interupted time series quasi-experiments, assuming no statistical background beyond simple correlation. The principles and concepts of ARIMA time series analyses are developed and applied where a discrete intervention has impacted a social system.

'...this is the kind of exposition I wished I had had some ten years ago when venturing into the world of autoregressive, moving-average (ARIMA) models of time-series analysis...This monograph nicely lays out a method for assessing the impact of a discrete policy or event of some importance on behavior which can be continuously observed...If widely used, as I hope, it will save a generation of social scientists fro

Author(s): David McDowall, Richard McCleary, Errol Meidinger, Richard A. Hay
Series: Quantitative Applications in the Social Sciences
Edition: 1
Publisher: Sage Publications, Inc
Year: 1980

Language: English