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Practical Statistics
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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


May 2010 | 528 pages | SAGE Publications, Inc
This book provides readers with step-by-step guidance on running a wide variety of statistical analyses in SPSS, Stata, and other programmes. 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 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.

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.

 
About the Authors
 
Preface
 
Acknowledgments
 
Introduction
 
Chapter 1: An Introduction to Statistics & Quantitative Methods
 
Chapter 2: An Introduction to IBM® SPSS® Statistics and Stata
 
Chapter 3: Descriptive Statistics
 
Chapter 4: Pearson's r, Chi-square, t-Test, and ANOVA
 
Chapter 5: Linear Regression
 
Chapter 6: Logistic, Ordered, Multinomial, Negative Binomial, and Poisson Regression
 
Chapter 7: Factor Analysis
 
Chapter 8: Time-Series Analysis
 
Chapter 9: Hierarchical Linear Modeling
 
Chapter 10: Structural Equation Modeling
 
Appendix A: Selecting the Appropriate Test
 
Appendix B: Tables of Significance
 
Appendix C: Additional Statistical Tests and Equations
 
Glossary
 
Index

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.

Mr Antonio Pangallo
Department of Psychology, City University
June 14, 2013

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.

Dr Michelle To
Department of Psychology, Hull University
May 29, 2013

Price

Dr Michael Garner
Emergency Administration and Management, Arkansas Technology University
May 5, 2013

Kremelberg's Practical Statistics makes simplicity out of complex; a must have book for doctoral students who need to understand SPSS.

Dr Jan Hammond
School Of Education, Long Island University - C W Post
March 27, 2013

The following review regards the book “Practical statistics a quick and easy guide to IBM SPSS, Stata and other Statistical Software”, by David Kremelberg.
There are many textbooks about statistics. The first question we should answer is whether this book was necessary or not. To my point of view the answer is YES and I will explain why.
Reading the book was really pleasant and Dr. Kremelberg is clear in explaining the concepts in the text. There is a certain quantity of math formulas but they are always supported with examples: numbers take place into the formulas and the reader can better understand what it is going on. Moreover, for those how are “allergic” to formulas, there is the possibility to skip them, without any problem, and to conduct the analysis using SPSS and/or STATA. Both these software are very known and user friendly. They are easy to use because of the possibility to have menu and windows in the selection of the data analysis.
Dr Kremelberg explains how to conduct the analysis, step by step, with the support of a lot of pictures taken during the use of SPSS and STATA. The reader sees selections and procedures as they should appear conducting the analysis. In the book it is refereed also to other statistical software/tools which may be useful as well.
The examples presented in the book guide the reader in experiencing, what it is said in the text in an efficient way. The reader gets skilled in conducting analysis and becomes more confident with statistic.
All the chapters have a nice but short introduction that makes the reader more confident of what it is expected to find in the following pages. Theory is introduced before the practical use of the statistical techniques with SPSS and STATA. At the end of each chapter there is a brief summary which stresses the most important concepts met.
Chapter 10 is a nice introduction to “Structural Equation Modeling” (SEM) and in the use of AMOS, a program for conducting analysis using structural equation modeling. SEM is preferred in situations where it is necessary to run a model that can not be run using simpler methods such as regression.
The glossary provides an easy access to definition that sometime can be “obscure” or cause uncertainly. Readers could benefit from it when they need to revise the definition of a concept, for example when they read a paper and statistical terms are presented.
At the end, I consider this book very useful especially for students who need a practical approach to statistical analysis using SPSS and/or STATA.
There are some suggestions the Author could consider for improvements in future revisions:
1) To add some extra chapters regarding: Roc curves, Pannel data analysis, Introduction to non-linear model.
2) To add summary tables or diagrams which help the reader in the choice of a technique instead of another.
Dr. Gabriele Messina
Research Professor of Public Health
University of Siena

Professor Gabriele Messina
Molecular and Developmental Medicine, University of Siena
March 23, 2013

very good

Dr Mohamed Attia
operations reserach and statistics, Zagazig University
October 23, 2012

It is a good guide to SPSS. Students feel that it is easy to read it and operate SPSS step-by-step according to the illustration of this ook.

Dr Wei Huang
School of Labour and Human Resources, Renmin University of China
August 17, 2012

An excellent basic statistics text.

Mr William Pruitt
Educational Admin Dept, South Carolina State University
May 9, 2012

Great introduction to entry level graduate statistics using both SPSS and Stata. Should be accessible for most beginning graduate students and provide them with a solid quantitative foundation,

Garry Rolison
Sociology Dept, California State University - San Marcos
January 18, 2012

This is a very interesting and easy-to-read book. One of the best on "surface-teaching" or intuitive teaching of stats (i.e. the book does not present complex mathematical formulas but relies instead on statistical software outputs). I will strongly recommand the book to any graduate student using stats in their master's degree thesis and will add it to my course outline.

Thanks for putting together this great book!

Dr Jonathan Deschenes
Marketing , HEC Montréal
July 20, 2011

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