What do you think?
Rate this book
Advanced and Multivariate Statistical Methods: Practical Application and Interpretation
- 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.
- 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.
362 pages, Paperback
First published January 1, 2001
15 people are currently reading
42 people want to read
Ratings & Reviews
Friends & Following
Create a free account to discover what your friends think of this book!
Community Reviews
Displaying 1 - 4 of 4 reviews
August 9, 2019
I think this book is badly in need of a lecturer to go with it. Maybe SPSS should be included in this book. I was prereading it for graduate school and I've taken stats four times before and I literally have no idea what this book was saying and I know and like stats and know SPSS. I will try to remember to update this review at the end of the class.
June 26, 2012
Wow, wow, wow!!! This book was amazing at how it can explain what to do when working with statistical methods and the language of SPSS. I have learned a lot and will continue to use this reference book as I have found the programming book to be most beneficial.
July 1, 2013
Don't even consider reading this. It will suck you into statistics hell. You've been warned.
May 11, 2019
I hate statistics, but I loved this book. I learned how to use SPSS and run statistical analysis. You have to give a book some credit if it can teach you math without a professor.
Displaying 1 - 4 of 4 reviews