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
This book provides readers with step-by-step guidance on running a wide variety of statistical analyses in IBM® SPSS® Statistics, Stata, and other programs. Author David Kremelberg begins his user-friendly text by covering charts and graphs through regression, time-series analysis, and factor analysis. He provides a background of the method, then explains how to run these tests in IBM SPSS and Stata. He then progresses to more advanced kinds of statistics such as HLM and SEM, where he describes the tests and explains how to run these tests in their appropriate software including HLM and AMOS.
This is an invaluable guide for upper-level undergraduate and graduate students across the social and behavioral sciences who need assistance in understanding the various statistical packages.
Some errors in numbers.
Explanations are short,not detailed.
Example are a few.
This book is essential for students who wish to study SPSS in a more detailed way.
Useful but not to be essential text as it doesn't have enough detail.
SPSS support, cheap. Good suitability as a supporting textbook.
good explanations, too simplistic for doctoral level work.
A very good guide for basic practics in statistical methods with a main focus to SPSS, but also to STATA. My students preffered it (even if it is written not in their native language, german) because the usage of the statistical procedures is described with easy to understand screen-shots that can be recognised during their own work.
This is a basic overview which may be useful to students that need a more general refresher of SPSS or STATA. Overall, a really clear and concise text.
While this textbook is meant as a guide for statistical software, I appreciate the fact that the authors do attempt to present students with the mathematics behind some of the methods.
Price
Kremelberg's Practical Statistics makes simplicity out of complex; a must have book for doctoral students who need to understand SPSS.
