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Analysis of Variance Designs: A Conceptual and Computational Approach with SPSS and SAS [Hardcover]

Glenn Gamst (Author), Lawrence S. Meyers (Author), A. J. Guarino (Author)
5.0 out of 5 stars  See all reviews (1 customer review)

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Book Description

September 1, 2008 0521874815 978-0521874816 1
Analysis of Variance Designs presents the foundations of experimental design: assumptions, statistical significance, strength of effect, and the partitioning of the variance. Exploring the effects of one or more independent variables on a single dependent variable as well as two-way and three-way mixed designs, this textbook offers an overview of traditionally advanced topics for progressive undergraduates and graduate students in the behavioral and social sciences. Separate chapters are devoted to multiple comparisons (post hoc and planned/weighted), ANCOVA, and advanced topics. Each of the design chapters contains conceptual discussions, hand calculations, and procedures for the omnibus and simple effects analyses in both SPSS and the new "click and shoot" SAS Enterprise Guide interface.

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Editorial Reviews

Review

"... readable but with a level of complexity commensurate with that of the topic."
J.T. Saccoman, Choice Magazine

Book Description

Starting with the foundations of ANOVA and going up through two-way and three-way mixed designs, this textbook offers an overview of traditionally advanced topics for advanced undergraduates and graduate students in the behavioral sciences. Each of the design chapters includes SPSS and SAS Enterprise Guide procedures.

Product Details

  • Hardcover: 594 pages
  • Publisher: Cambridge University Press; 1 edition (September 1, 2008)
  • Language: English
  • ISBN-10: 0521874815
  • ISBN-13: 978-0521874816
  • Product Dimensions: 10.1 x 7 x 1.5 inches
  • Shipping Weight: 2.4 pounds (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #711,261 in Books (See Top 100 in Books)

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5.0 out of 5 stars Outstanding, December 11, 2010
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This review is from: Analysis of Variance Designs: A Conceptual and Computational Approach with SPSS and SAS (Hardcover)
This book is ideal for people without strong math background. Authors teach you ANOVA from scratch to relatively advanced concepts and techniques in plain English and they enter math symbols and formulas little by little and explain it very well. This book is best to be read after " Introduction to ANOVA by Rick Turner. Also , you will learn how to conduct ANOVA by SPPS and SAS, step by step, so it is like 3 books in one volume. I highly recommend this book. I wish with the same style Dr Gamst show how to do ANOVA with Stata in future editions or a new book.
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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
random effects, general linear model, corrected total, mixed models, false residual, contrast estimate, hypothesized value, compatibility model, false titles, last test, trimmed mean, interquartile range, conduct simple effects, complex mixed design, simple mixed design, room color study, omnibus analysis, main dialog window, study time example, variable that increments, eta squared values, simple effects analysis, preset contrasts, pairwise mean comparisons, own error term
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Enterprise Guide, Repeated Measures, Sphericity Assumed, Run Save Cancel Help Figure, Post Hoc, Least Squares, Click Continue, Linear Models, Click Run, Mean Std, Horizontal Axis, Task Roles, Between-Subjects Factor, Factor Interactions, Error Sig, Repeated Effects, Separate Lines, Advanced Options, Toy Type, Separate Plots, Fixed Factor, Estimated Marginal Means Factor, Lower Bound Upper Bound, Effects Builder, Tests of Within-Subjects Effects
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Front Cover | Table of Contents | First Pages | Index | Surprise Me!
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