Interrupted time series analysis, Issues 21-25

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Sage, Aug 1, 1980 - Mathematics - 96 pages
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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

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Contents

Editors Introduction
5
Appendices
88
References
94
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About the author (1980)

DAVID MCDOWALL is associated wh the Violence Research Group, Department of Criminology and Criminal Justice, University of Maryland at College Park.