Interrupted Time Series Analysis.
| Author/creator | McDowall, David Editor |
| Other author | McCleary, Richard Editor |
| Other author | Meidinger, Errol Editor |
| Other author | Hay, Richard A. Jr. Editor |
| Format | Electronic |
| Publication Info | Thousand Oaks : SAGE Publications, Incorporated |
| Description | 96 p. ill 08.500 x 05.500 in. |
| Supplemental Content | Full text available from SAGE Research Methods Core |
| Subjects |
| Series | Quantitative Applications in the Social Sciences Ser. Vol. 21 |
| Summary | Annotation 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.</p> <p></p> <p>'...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 from the labor of having to learn this methodology the hard way...' -- Helmut Norpoth, State University of New York |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 80052761 |
| ISBN | 9780803914933 |
| ISBN | 0803914938 (Trade Paper) On Demand |
| Standard identifier# | 9780803914933 |
| Stock number | 407021 00023123 |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |