Interrupted Time Series Analysis (Quantitative Applications in the Social Sciences)

McDowall, David; McCleary, Richard; Meidinger, Errol; Hay, Richard A.

ISBN 10: 0803914938 / ISBN 13: 9780803914933

Editore: U.S.A.: SAGE Publications, Inc, 1980

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Trade paperback in good plus condition.

Codice articolo 169440

Dati bibliografici

• Titolo: Interrupted Time Series Analysis (Quantitative Applications in the Social Sciences)
• Editore: U.S.A.: SAGE Publications, Inc
• Data di pubblicazione: 1980
• Lingua: Inglese
• ISBN 10: 0803914938
• ISBN 13: 9780803914933
• Rilegatura: Soft cover
• Edizione: 1st Edition
• Condizione: Good
• Cataloghi dei venditori:
  • Sociology

Descrizione articolo

Riassunto

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

Informazioni sull?autore

David McDowall is editor of the Journal of Quantitative Criminology. He also is co-director of the Violence Research Group, a collaborative research effort that studies patterns of interpersonal violence. Professor McDowall is especially interested in time series analysis of patterns in crime and violence. His recent research includes an evaluation of the preventive effects of juvenile curfew laws on youth crime, studies of defensive firearm use, and an examination of disagreements between homicide data sources.