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Advanced and Multivariate Statistical Methods: Practical Application and Interpretation, by Craig A. Mertler
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• All the statistics traditionally covered in a second-level course are included.
• Stresses the conceptual and practical aspects for students who do not need emphasis on the underlying mathematical theory.
• Students learn not only the purpose of and how to compute the statistics using SPSS, they also learn the logic behind the techniques and how to test the underlying assumptions.
• Students are shown how to interpret, present, and write up the results for each technique.
• Exercises allow students to practice their newly acquired skills. The answer key will be provided with professors’ copies.
• If your students are overwhelmed by advanced statistics texts that are too technical and mathematical, you should examine this highly applied approach to multivariate statistics. Covers why, what, when and how. Ideal for nonmath majors.
• The numerous screenshots and examples of output make it easy for students to follow the text.
• Each statistical method is followed by an explanation of why a student might use that method, including a discussion of its purpose and sample research questions it can address.
• The authors also show a sample study with an example of how to write up the results. Students see firsthand how to present their statistical findings.
• Although SPSS is the program that is illustrated, students using any program will benefit greatly from the conceptual material.
- Sales Rank: #811769 in Books
- Brand: Brand: Pyrczak Pub
- Published on: 2009-12-01
- Original language: English
- Number of items: 1
- Dimensions: 1.10" h x 8.40" w x 10.90" l, 2.25 pounds
- Binding: Paperback
- 362 pages
- Used Book in Good Condition
Most helpful customer reviews
7 of 7 people found the following review helpful.
Excellent reference for multivariate analysis with SPSS
By GradStudent
Just finishing research to support my dissertation. This book, recommended to me by my advisor, was probably the stats reference I used the most throughout the year (or so) long (long, long) process. The first two chapters are an outstanding introduction, or re-introduction, to univariate and multivariate statistical analysis...it had been a while since I'd taken my stats classes and I found the explanations at the start of this book extrememly clear and concise. At the end of chapter two are "decision making trees", that help you select an appropriate statistical method based on your research question and variables that I found helpful. Chapter 3 is all about data screening, and in a book with so much to like, chapter 3 was my hands-down favorite. It helped me (finally) become much more systematic in my approach to screening data, and evaluating assumptions associated with that data. I primarily used chapters 6, and 5 in my study. Excellent explanations of the underlying concepts for each statistical method are provided at the start of each chapter, followed by assumptions related to the tests, how to interpret results and write up those results, examples and, at the end, a step-by-step guideline (check-lists) for how to evaluate assumtions and perform the test using SPSS. (just when you think this book cannot get any better, you will find the check-lists at the end of the chapter...at that point, you will become the happiest grad student, ever!). As the authors state in the preface, the book is designed for someone just like me...not really a stats expert, but someone who needs to understand the concpets/proceesses enough to evaluate other research, and who needs to understand, explain and execute the tests. This book certainly, in my opinion, hits the mark.
1 of 1 people found the following review helpful.
Exactly what I wanted
By Jen
Came as it was supposed to, great shape, thank you!
1 of 1 people found the following review helpful.
Five Stars
By Amaka Anyiwo
It's great!
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