The second edition of this book provides a conceptual understanding of analysis of variance. It outlines methods for analysing variance that are used to study the effect of one or more nominal variables on a dependent, interval level variable. The book presumes only elementary background in significance testing and data analysis.
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Norpoth holds an M.A. and Ph.D. in Political Science from the University of Michigan. He has previously taught at the Universities of Texas, Arizona, and Cologne, Germany, as well as in the ECPR summer school on quantitative methods. He regularly assists the New York Times with its Election night analysis and has served as a polling analyst for the Foreign Policy Association.
The authors have improved on their widely used first edition by providing updated examples, adding material on how to do ANOVA using statistical packages for microcomputers, linking the use of ANOVA to regression analysis, and enchancing their discussion on using ANOVA for experimentally gathered data.
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