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Analysis of Variance Designs: A Conceptual and Computational Approach with SPSS and SAS ebook

by Lawrence S. Meyers,A. J. Guarino,Glenn Gamst


Analysis of Variance Designs presents the foundations of experimental design: assumptions, statistical significance .

Analysis of Variance Designs presents the foundations of experimental design: assumptions, statistical significance, strength of effect, and the partitioning of the variance. Output for the Post-ANOVA Analysis in SPSS 1. Performing the Omnibus Analysis in SAS 1. 0 SAS Output of the Omnibus Analysis 1. 1 Performing the Simple Effects Analysis in SAS 1. 2 SAS Output from the Simple Effects Analysis 1. 3 Performing the Post Hoc Analysis in SAS 1. 4 SAS Output from the Post Hoc Analysis 1. 5 Communicating.

Each of the design chapters includes SPSS and SAS Enterprise Guide . I highly recommend this book.

Each of the design chapters includes SPSS and SAS Enterprise Guide procedures. If that is not enough, then this book by Gamst, Meyer, and Guarino can help a little more.

Analysis of Variance Designs presents the foundations of experimental design: assumptions, statistical significance .

Analysis of Variance Designs : A Conceptual and Computational Approach with SPSS and SA.

Analysis of Variance Designs : A Conceptual and Computational Approach with SPSS and SAS. by A J Guarino, Lawrence S. Meyers, Glenn C. Gamst.

Analysis of Variance Designs presents the foundations of experimental design: assumptions, statistical . oceedings{Gamst2008AnalysisOV, title {Analysis of Variance Designs: A Conceptual and Computational Approach with SPSS and SAS}, author {Glenn Gamst and Lawrence Meyers and Anthony J. Guarino}, year {2008} }. Glenn Gamst, Lawrence Meyers, Anthony J. Guarino.

Analysis of Variance Designs. The little SAS book for Enterprise Guide . Cary, NC: SAS Institute. Snedecor, G. W. (1934). Glenn Gamst, University of La Verne, California, Lawrence S. Meyers, California State University, Sacramento, A. J. Guarino, Auburn University, Alabama. Publisher: Cambridge University Press. Online publication date: June 2012. 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

Analysis of Variance Designs. A Conceptual and Computational Approach with SPSS and SAS. Chapter. SAS began being used on mainframe computers several decades ago when the only way to instruct the software to perform the statistical analyses was by punching holes on computer cards via a card-reader machine and later by typing in this code on an otherwise blank screen. It should be noted that, unlike SPSS, the vast majority of current SAS users still prefer a code-driven interface.

Glenn C. Gamst, Lawrence S. Meyers, A. ANOVA (Analysis Of Variance) is one of the most fundamental and ubiquitous univariate methodologies employed by psychologists and other behavioural scientists

Glenn C. ANOVA (Analysis Of Variance) is one of the most fundamental and ubiquitous univariate methodologies employed by psychologists and other behavioural scientists. Analysis of Variance Designs presents the foundations of this experimental design, including assumptions, statistical significance, strength of effect, and the partitioning of the variance.

ANOVA (Analysis Of Variance) is one of the most fundamental and ubiquitous univariate methodologies employe. You're getting the VIP treatment! With the purchase of Kobo VIP Membership, you're getting 10% off and 2x Kobo Super Points on eligible items. Your Shopping Cart is empty. There are currently no items in your Shopping Cart.

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.
Goldendragon
In this book, I found the more detailed explanation about ANOVA for the behavioral sciences that I was looking for. In that regard, I would recommend this book. However, the explanations are not always clear, or as clear as I liked them to be after reading Andy Field’s books (using R, SPSS and SAS). For example, although Discovering Statistics Using IBM SPSS Statistics (by the mentioned Field author) has a broader scope, the coverage of ANOVA topics is much easier and motivating. In short, I would suggest to read Field before. If that is not enough, then this book by Gamst, Meyer, and Guarino can help a little more.

Pros: some interesting anecdotes about statisticians, good explanation (even better than Field) about simple effect analyses after significant interactions, deep coverage of multiple comparisons after omnibus ANOVAs (however, Field does better in user-defined contrasts), relevant for SPSS and SAS users, hand calculations included to have a better understanding of the analyses involved, exercises at the end of each chapter.

Cons: the sections about “communicating the results” do not follow the latest version (6th) of the APA style. In that sense, p have to be reported with exact numbers, and not as p < .05 (for example). This could be easily improved, but is confusing in its current state. Also, the authors never used the “estimates of effect size” function in the Display part of the Options for the ANOVAS, which is the automated way that SPSS allows you to calculate the partial eta squared. I didn’t understand why the authors opted for calculating partial eta squared by hand and not using this automated feature (maybe because they used SPSS 16 and I’m currently using SPSS22?). More troublesome is the fact that the analysis of Section 15.7 (Post-Anova of a Complex Design) does not follow the Tables displayed (Figs 15.20 and 15.21), and many significant simple effects are wrongly marked as non-significant in the text. The authors should rewrite Section 15.7 and also the carryover Section 15.12. Similarly, the last paragraph of section 16.9.2 inaccurately states that Group 1 performed lower than Groups 2 and 3; however Group 1 only performed worse than Group 3, as the last table in Figure 16.18 shows (and as it is accurately written in Section 16.13).

In short, if you are already familiarized with ANOVA, buy this book. Otherwise, buy any Field book first, the one according to your statistical software preference. Also, skip Section 15.7 (and its carryover Section 15.12) as it is inaccurately written.
Helldor
This text provides excellent examples throughout with visual aids and step by step instructions for conducting different analyses and also walks the reader through interpretation of results. The appendices provide clarification for two popular statistical analysis packages (SPSS and SAS) and the authors make their datasets available free of charge through a link provided in the text.
Olelifan
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.
Conjuril
good condition
iSlate
Hard to read for someone who has never has statistics before.
Analysis of Variance Designs: A Conceptual and Computational Approach with SPSS and SAS ebook
Author:
Lawrence S. Meyers,A. J. Guarino,Glenn Gamst
Category:
Mathematics
Subcat:
EPUB size:
1202 kb
FB2 size:
1248 kb
DJVU size:
1693 kb
Language:
Publisher:
Cambridge University Press; 1 edition (September 1, 2008)
Pages:
594 pages
Rating:
4.5
Other formats:
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