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David McDowall, Richard McCleary, Bradley J. Bartos
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.
| Publisher | Oxford University Press, Incorporated |
|---|---|
| Search language | english |
| ISBN_13 | 978-0-190-94395-0 primary |
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Interrupted Time Series Analysis (Quantitative Applications in the Social Sciences)
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