Hailed as a landmark in the development of experimental methods when it appeared in 1975, Design and Analysis of Time-Series Experiments is available again after several years of being out of print. Gene V Glass, Victor L. Willson and John M. Gottman have carried forward the design and analysis of perhaps the most powerful and useful quasi-experimental design identified by their mentors in the classic Campbell & Stanley text Experimental and Quasi-experimental Design for Research (1966). In an era when governments seek to resolve questions of experimental validity by fiat and the label "Scientifically Based Research" is appropriated for only certain privileged experimental designs, nothing could be more appropriate than to bring back the classic text that challenges doctrinaire opinions of proper causal analysis. Glass, Willson & Gottman introduce and illustrate an armamentarium of interrupted time-series experimental designs that offer some of the most powerful tools for discovering and validating causal relationships in social and education policy analysis. Drawing on the ground-breaking statistical analytic tools of Box & Jenkins, the authors extend the comprehensive autoregressive-integrated-moving-averages (Arima) model to accommodate significance testing and estimation of the effects of interventions into real world time-series. Designs and full statistical analyses are richly illustrated with actual examples from education, behavioral psychology, and sociology.
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Book by Glass Glass V Willson Victor L Gottman John M
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Da: Majestic Books, Hounslow, Regno Unito
Condizione: New. pp. 264 Illus. Codice articolo 5464304
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Da: PBShop.store UK, Fairford, GLOS, Regno Unito
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Condizione: New. 2008. Revised ed. Paperback. . . . . . Codice articolo V9781593119805
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Da: Ria Christie Collections, Uxbridge, Regno Unito
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Da: Revaluation Books, Exeter, Regno Unito
Paperback. Condizione: Brand New. 264 pages. 9.10x6.00x0.60 inches. In Stock. This item is printed on demand. Codice articolo __1593119801
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Da: BOOKHOME SYDNEY, Annandale Sydney, NSW, Australia
Paperback octavo, as new condition, typewritten text, minimal edgewear. 241 pp. Gene V. Glass and two colleagues Introduce and illustrate statistical methods and case studies for interrupted time-series experimental designs that offer new powerful tools for discovering and validating causal relationships in social and education policy analysis. Contains some complex statistics. (A printed copy of a digital POD book. Originally published, 1975. This copy is the 2008 reissue, with an added note at the front. The senior author was inspired by the famous pioneering book by Donald Campbell and Julian Stanley on experimental and quasi-experimental designs, and he saw the value of extending the analysis regarding interrupted time-series experimental designs.). Codice articolo 18669
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