Interrupted Time Series Analysis

Name: Interrupted Time Series Analysis
SKU: 2822044
Price: 120.00 NZD
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Paperback / softback

Series:

Quantitative Applications in the Social Sciences

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Description

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 from the labor of having to learn this methodology the hard way...' -- Helmut Norpoth, State University of New York

Author Biography:

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.

Release date NZ

December 16th, 1980

Author

Audience

Professional & Vocational

Pages

Series

Quantitative Applications in the Social Sciences

Dimensions

140x216x6

ISBN-13

9780803914933

Product ID

2822044

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