Interrupted Time Series Analysis

di David McDowall (Autore)

Richard McCleary (Autore)

Errol Meidinger (Autore)

SAGE Publications Inc, 1980

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

• Autore: David McDowall, Richard McCleary, Errol Meidinger
• Editore: SAGE Publications Inc
• Collana: Quantitative Applications in the Social Sciences
• Anno: 1980
• Rilegatura: Paperback / softback
• Pagine: 96 p.
• Dimensioni: 215 x 139 mm
• Peso: 140 gr.
• EAN: 9780803914933

Testo in English