Practical Statistics
A Quick and Easy Guide to IBM® SPSS® Statistics, STATA, and Other Statistical Software
- David Kremelberg - DK Statistical Consulting Inc., University of Connecticut, Storrs, USA
Key Features:
- Step-by-step instructions on how to run statistical tests enables students to run complex statistical tests quickly, efficiently, and accurately.
- Clear explanations of the tests allow students to better understand the theory behind the tests and their proper use.
- Includes instructions using both the menus and syntax beginners need.
- Provides more advanced students the direction to run quick and efficient analyses (syntax).
This is an invaluable guide for upper-level undergraduate and graduate students across the social and behavioural sciences who need assistance in understanding the various statistical packages.
A very useful text - makes understanding SPSS really simple!
book will be supplemental for those proceeding their analysis with SPSS. a very nice and comprehensive book. the other way around some confusing because of the content regarding STATA. so therefore it didn't reach the status of adoption for essential reading
this book explains factor analysis with excellent way
Good easy book to understand and helpful for students
Although I use both qualitative and quantitative methods in my research and reporting, the statistics aspects have never quite come easily. Yes, I do have a collection of statistics guides on my shelf, but still found myself seeking something a little more ‘fundamental.’ I found Kremelberg’s text very easy to read, and the step-by-step approach quickly proved to be invaluable. Providing some background on the statistical tests, and then giving examples for different statistical packages was excellent, although sometimes the multitude of pictures on a page can appear a little ‘clunky’. This book could be used at the undergraduate level much more often that the complex textbooks that I usually see.
This is a hurried and poorly executed book which gives a very superficial treatment to the subject matter. Moreover, given the cover price, I would have expected a little more finesse with the final look of the tables/charts. There were countless mistakes which just made me think it hadn't been edited thoroughly, which is both down to the author and the editor.
I find this book good as a resource for using SPSS and other statistical software. It provides step-by-step instructions about how to run each statistical test and provides graphical displays for each step. This book is useful as a supplement to the main text. I'm adopting it for the doctoral research class and I'm considering it also for my intro stats class.
This is an excellent book for non-mathematicians who wish to learn the basics of statistics and want to be able to easily implement the acquired knowledge. The author provides the reader with very detailed instructions for the implementation of every statistical tool given in the book. Chapter 2 is particularly useful since it gives an easy to follow introduction to SPSS and STATA, the two statistical packages used throughout the book.
The book is biased towards statistics used in the social sciences but it covers most of the basics for an introductory statistics course. Specifically, descriptive statistics is covered and illustrated using both packages, followed by the basic statistical tests. The fifth chapter is concerned with linear regression while generalised linear modelling follows in the next chapter. The final four chapters centre on more advanced statistical models and contain factor analysis, time-series analysis, mixed models and structural equation modelling.
One potential amendment to the book structure would be the inclusion of non-parametric tests in the main body of the book. Also, ANOVA is considered almost separately from (hierarchical) linear regression. Some discussion of the connections among the two methods and a more extensive coverage of linear mixed models would be desirable, particularly for general biostatistical applications. Finally, I would add a small section at the end of each chapter including the mathematical derivation of the methods described in each chapter, directed to the more mathematically inclined reader.
In conclusion, this is a concise introductory book on applied statistics which students and practitioners who intend to use quantitative methods shall find helpful, particularly those interested in social sciences.
Nikos Demiris
Agricultural University of Athens
A little too complex
A good, clear introduction to SPSS.
