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Succeed in statistics with EXPERIMENTAL DESIGN USING ANOVA with accompanying STUDENT SUITE CD-ROM! With a practical approach, this statistics text provides you with instructions on how to perform both simple and complex analyses by hand, through regression, and through SPSS and SAS so that you will be prepared to effectively design and analyze research projects. Examples and exercises found throughout the text help clarify difficult concepts. Use the accompanying CD-ROM and the book-specific website to access data sets for these examples and exercises. All chapters follow a similar outline allowing you to readily and easily find the material you are looking for.
- Sales Rank: #486190 in Books
- Brand: Brand: Cengage Learning
- Published on: 2006-03-08
- Original language: English
- Number of items: 1
- Dimensions: 9.26" h x 1.28" w x 7.60" l, 2.91 pounds
- Binding: Hardcover
- 720 pages
- Used Book in Good Condition
Review
1. INTRODUCTION. The Nature of Research. Types of Research Designs. Types of Treatments. Outcome Measures. Overview of Research Designs. Overview of Issues Encountered In Most Designs. Generalizing Results. Computer Assistance . Organization of the Book. Choosing a Design: Some Guidelines. Problem Sets. 2. ORGANIZING, DESCRIBING, AND SCREENING DATA. Organizing Data for a Computer. Describing Data from One Variable. Describing Relationships. Problem Sets. 3. BASIC ANOVA: LOGIC OF ANALYSIS AND TESTS OF ASSUMPTIONS. Introduction. Analysis of Variance. The Regression Approach to ANOVA. Assumptions of Analysis. Other Recurring Issues. Overview of Remaining Chapters. Problem Sets. 4. ONE-WAY RANDOMIZED-GROUPS ANALYSIS OF VARIANCE, FIXED-EFFECTS DESIGNS. General Purpose and Description. Kinds of Research Questions. Assumptions and Limitations. Fundamental Equations. Some Important Issues. Complete Example Of One-Way ANOVA. Comparison of Programs. Problem Sets. 5. FACTORIAL RANDOMIZED-GROUPS, FIXED EFFECTS DESIGNS. General Purpose and Description. Kinds of Research Questions. Assumptions and Limitations. Fundamental Equations. Other Types of Randomized-Groups Designs. Some Important Issues. Complete Example of Two-Way Randomized-Groups ANOVA. Comparison of Programs. Problem Sets. 6. REPEATED-MEASURES DESIGNS. General Purpose and Description. Kinds of Research Questions. Assumptions and Limitations. Fundamental Equations. Types of Repeated-Measures Designs. Some Important Issues. Complete Example. Problem Set. 7. MIXED RANDOMIZED-REPEATED DESIGNS. General Purpose and Description. Kinds of Research Questions. Assumptions and Limitations. Fundamental Equations. Types of Mixed Designs. Some Important Issues. Complete Example of Mixed Randomized-Repeated ANOVA. Comparison of Programs. Putting It All Together for Factorial Designs. Problem Sets. 8. ANALYSIS OF COVARIANCE. General Purpose and Description. Kinds of Research Questions. Assumptions and Limitations. Fundamental Equations. Types of Designs Using Covariates. Some Important Issues. Complete Examples of Analysis Of Covariance. Comparison of Programs. Problem Sets. 9. LATIN-SQUARE DESIGNS. Purpose and Description. Kinds of Research Questions. Assumptions and Limitations. Fundamental Equations. Types of Latin-Square Designs. Some Important Issues. Complete Examples of Latin-Square ANOVA. Comparison of Programs. Problem Sets. 10. SCREENING AND OTHER INCOMPLETE DESIGNS. General Purpose and Description. Kinds of Research Questions. Assumptions and Limitations. Fundamental Equations. Types of Screening and Other Incomplete Designs. Some Important Issues. Complete Example of a Central Composite Design. Comparisons of Programs. Problem Sets. 11. ANALYSIS OF VARIANCE WITH RANDOM EFFECTS. General Purpose and Description. Kinds of Research Questions. Assumptions and Limitations. Fundamental Equations. Types of Designs With Random Effects. Some Important Issues. Complete Example of Random-Effects ANOVA. Comparison of Programs. Problem Sets. Appendix A. Statistical Tables. Appendix B. Research Designs For Complete Examples. Appendix C. Answers to Selected Problems. References.
Most helpful customer reviews
6 of 6 people found the following review helpful.
Good explanations & easy on the eyes layout
By I. Masduki
The first time I read a book by Tabachnik & Fidell, I was struggling with Multiple Regression and a friend recommended "Using Multivariate Statistics" by the same authors and I found their book to be much easier to read than the text recommended by our statistician-geek professor. So this time around when I found myself in an ANOVA class, I did a quick search on Amazon and found this book and decided to give it a try, since I had a good experience with their other book. It's expensive even by the standards of statistics books, but I found it totally worth it.
The authors use language that is easy to understand without talking down to its readers. They use interesting everyday examples that anyone from any field can relate with to explain the concepts of experimental design. Since this book just came out (2007), the SPSS examples are not too out of date. There's something comforting too about the stats output being in SPSS, the software I'm most familiar with.
Another factor in its favor is the layout of the book. I think a lot of people underestimate good page layout when it comes to textbooks, especially graduate-level textbooks. But coming from a graphic design background before going for my PhD in instructional design, I couldn't help noticing how 'friendly' the book looks even with the formulas and diagrams.
Finally, the CD-ROM itself contains:
-ASCII, Excel, Minitab, JMP, SAS and SPSS data files for using ANOVA
-R2 program
-Programs on calculating confidence intervals around effect sizes (noncf3.sps, noncf2.sas)
-Student solutions manual
So I give this book 5 stars (sheesh, never thought I'd actually write a glowing review for a statistics book, but there you go)
4 of 4 people found the following review helpful.
A good supplemental text
By Ann
I took my first grad school statistics course. We were using a Maxwell and Delaney text, Designing Experiments and Analyzing Data (an impossibly convoluted text). My instructor,also my advisor, suggested this as a good supplement. It was. Between the two texts I pulled a B for the course. The SPSS portions are out of date, but that is understandable with publishing lag and the speed with which SPSS is updated. It is an excellent reference if you need to cite why you're doing a particular statistical adjustment or technique. I'm sure that I'll be using it for the rest of grad school.
0 of 0 people found the following review helpful.
Four Stars
By Brad Cain
The CD was missing, otherwise it would have been a 5.
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