Victor l willson (26 resultados)

Hardcover. Condición: Good. Estado de la sobrecubierta: no jacket present. This hardcover edition is in good condition, with a sturdy binding and clean pages. The spine shows minimal wear, and there is no dust jacket present. The book is free from any inscriptions or library markings, making it a well-preserved copy for its age.…

paperback. Condición: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority.

Soft cover. Condición: Very Good. 128pp. Coil binding. Very sl wear, very good+.

Hardcover. Condición: Fine. No Jacket. 1st Edition. First edition. 241 pages. Fine condition. (AA6).

Softcover. Condición: Fine. Volume 1, 1996 Edition. 128 p. 23 cm. Colour illustrations. Spiral binding.

23,5 x 16 cm. Condición: Gut. XI, 241 Pages.; With Figures and Tables Original Hardcover mit Rückenvergoldung im sehr guten Zustand. Innen mit Bibliotheksstempel, sehr sauberes Exemplar. Englische Sprache. - Original Hardboard with gilt back. Inside with Library stamp, in very good condition. English Language. B07-01-03A|S24 Sprache: Englisch Gewicht in Gramm: 578. …

Soft cover. Condición: Very Good. Coil bound card covers. 128 pp. How to value envelopes with stamps used prior to 1902. Numerous colour photos. Bright clean copy.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: New. pp. 264 Illus.

Softcover. Condición: Fine. First Edition. 128 p. 23 cm. Colour illustrations. Spiral binding.

128pp. Fine in ring binding.

Condición: New. 2008. Revised ed. Paperback. . . . . .

Condición: New. pp. 264.

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.).…

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New. In English.

Condición: New. 2008. Revised ed. Paperback. . . . . . Books ship from the US and Ireland.

Paperback. Condición: Brand New. reprint edition. 512 pages. 9.02x5.98x1.12 inches. In Stock.

Hardcover. Condición: Fine. Previous owner's name on ffep. 241 pages in good condition. Blue cloth cover in fine condition. FINE. Book.

Paperback. Condición: Brand New. 2nd edition. 519 pages. 9.00x7.25x0.75 inches. In Stock.

Paperback. Condición: Brand New. 264 pages. 9.10x6.00x0.60 inches. In Stock. This item is printed on demand.

Condición: New. PRINT ON DEMAND pp. 264.

Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Introduces and illustrates an armamentarium of interrupted time-series experimental designs that offer some of the powerful tools for discovering and validating causal relationships in social and education policy analysis. This title illustrates designs and.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Hailed as a landmark in the development of experimental methods when itappeared in 1975, Design and Analysis of Time-Series Experiments is availableagain after several years of being out of print.Gene V Glass, Victor L. Willson and John M. Gottman have carried forward thedesign and analysis of perhaps the most powerful and useful quasi-experimentaldesign identified by their mentors in the classic Campbell & Stanley text Experimental and Quasi-experimentalDesign for Research (1966). In an era when governments seek to resolve questions of experimental validity byfiat and the label 'Scientifically Based Research' is appropriated for only certain privileged experimentaldesigns, nothing could be more appropriate than to bring back the classic text that challenges doctrinaireopinions of proper causal analysis.Glass, Willson & Gottman introduce and illustrate an armamentarium of interrupted time-series experimentaldesigns that offer some of the most powerful tools for discovering andvalidating 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-movingaverages(ARIMA) model to accommodate significance testing andestimation of the effects of interventions into real world time-series. Designsand full statistical analyses are richly illustrated with actual examples fromeducation, behavioral psychology, and sociology.…