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Interrupted Time Series Analysis - Quantitative Applications in the Social Sciences David McDowall
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Interrupted Time Series Analysis - Quantitative Applications in the Social Sciences
David McDowall
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
96 pages, 1, black & white illustrations
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | December 16, 1980 |
| ISBN13 | 9780803914933 |
| Publishers | SAGE Publications Inc |
| Pages | 96 |
| Dimensions | 142 × 217 × 6 mm · 148 g |
| Language | English |
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