Handbook of Univariate and Multivariate Data Analysis and Interpretation with SPSS
Features
Summary
Many statistics texts tend to focus more on the theory and mathematics underlying statistical tests than on their applications and interpretation. This can leave readers with little understanding of how to apply statistical tests or how to interpret their findings. While the SPSS statistical software has done much to alleviate the frustrations of social science professionals and students who must analyze data, they still face daunting challenges in selecting the proper tests, executing the tests, and interpreting the test results.
With emphasis firmly on such practical matters, this handbook sets forth clear guidelines for performing specific statistical tests with SPSS and interpreting the output. The author clearly explains the purpose of each test and the research designs for which they are relevant, demonstrates the execution of the tests, and explains how to interpret the results obtained. The presentation covers not only the point-and-click Windowsä method of using SPSS, but also the syntax method, which provides users with the power and flexibility to deal with complex experimental designs. All chapters include the full SPSS output of the test being addressed and the step-by-step interpretation of the results. All of the data sets used in the examples along with the SPSS code are freely available for download at www.crcpress.com.
Armed with the knowledge, tools, and experience this handbook provides, social scientists, both student and professional, can maximize the utility of SPSS, choose the right statistical tests with confidence, and more accurately and appropriately interpret their results.
Table of Contents
INFERENTIAL STATISTICS AND TEST SELECTION
INTRODUCTION TO SPSS
MULTIPLE RESPONSE
T-TEST FOR INDEPENDENT GROUPS
PAIRED-SAMPLES T-TEST
ONE-WAY ANALYSIS OF VARIANCE, WITH POST HOC COMPARISONS
FACTORIAL ANALYSIS OF VARIANCE
GENERAL LINEAR MODEL (GLM) MULTIVARIATE ANALYSIS
GENERAL LINEAR MODEL: REPEATED MEASURES ANALYSIS
CORRELATION
LINEAR REGRESSION
FACTOR ANALYSIS
RELIABILITY
MULTIPLE REGRESSION
STRUCTURAL EQUATION MODELING
NONPARAMETRIC TESTS
APPENDIX: Summary of SPSS Syntax Files
References
Editorial Reviews
"…The click-by-click instructions would clearly be useful for beginners to SPSS … The examples and methods all have a strong social science flavor, which is consistent with the aims of the book. … This book would therefore seem to be most appropriate for statisticians or practitioners in the social sciences … the book can [also] help more experienced SPSS users who want to learn to write syntax files. …"
—Biometrics, December 2006
"… main strengths are the choice of easy-to-use software to apply statistical methods and the clarity of explanations. Learning to analyse data with SPSS with this handbook is very easy even for those who are rusty … . I found no typological errors … author’s aims have been achieved. This is the best book I have found for demonstrating statistical methods with SPSS. I recommend it highly for all…"
—Venkata Putcha, Kings College, London, UK
"The main strengths of the book are: (a) its hands-on approach, (b) the choice of a user-friendly software to teach how to apply statistical methods, and (c) the clarity with which the statistical methods and the context of their applicability are explained. Learning to analyze data with SPSS with this handbook is very easy even for those rusty in their introductory statistical background. The reader that completes the book is ready to use the SPSS manuals available elsewhere. The index is very useful. …The authors do indeed provide clear guidelines to both the execution of the specific statistical tests with SPSS and the research designs for which they are relevant."
—Juana Sanchez, University of California, Los Angeles, Journal of Statistical Software, Vol. 16, July 2006
"This hardback covers most statistical methods provided by SPSS Base software in an easily understood manner, due in part to its liberal use of SPSS output and screenshots. … The inclusion of SPSS syntax is a strong selling point, as well as the focus on interpretation of SPSS output. It is an excellent choice for graduate students and researchers outside the statistics community who use SPSS …"
—J. Wade Davis, University of Missouri, The American Statistician, August 2008
Downloads Updates
| Resource | OS Platform | Updated | Description | Instructions |
|---|---|---|---|---|
| C6021.zip | Cross Platform | May 03, 2006 |
