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

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.

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.

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.

Hard to read for someone who has never has statistics before.

good condition