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Using SPSS for Windows: Data Analysis and Graphics, by Susan B. Gerber, Kristin Voelkl Finn
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The second edition of this popular guide demonstrates the process of entering and analyzing data using the latest version of SPSS (12.0), and is also appropriate for those using earlier versions of SPSS. The book is easy to follow because all procedures are outlined in a step-by-step format designed for the novice user. Students are introduced to the rationale of statistical tests and detailed explanations of results are given through clearly annotated examples of SPSS output. Topics covered range from descriptive statistics through multiple regression analysis. In addition, this guide includes topics not typically covered in other books such as probability theory, interaction effects in analysis of variance, factor analysis, and scale reliability. Chapter exercises reinforce the text examples and may be performed for further practice, for homework assignments, or in computer laboratory sessions.
This book can be used in two ways: as a stand-alone manual for students wishing to learn data analysis techniques using SPSS for Windows, or in research and statistics courses to be used with a basic statistics text. The book provides hands-on experience with actual data sets, helps students choose appropriate statistical tests, illustrates the meaning of results, and provides exercises to be completed for further practice or as homework assignments.
Susan B. Gerber, Ph.D. is Research Assistant Professor of Education at State University of New York at Buffalo. She is director of the Educational Technology program and holds degrees in Statistics and Educational Psychology.
Kristin Voelkl Finn, Ph.D. is Assistant Professor of Education at Canisius College. She teaches graduate courses in research methodology and conducts research on adolescent problem behavior.
- Sales Rank: #3750082 in Books
- Published on: 2010-02-06
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x .57" w x 7.01" l, 1.06 pounds
- Binding: Paperback
- 228 pages
Review
From a review:
THE AMERICAN STATISTICIAN
"The authors write well, and most concepts are explained clearly.
From the reviews of the second edition:
"It is a clearly written guide, suitable for undergraduates or maybe Masters level students with no prior experience of statistical analysis. The basic, important and necessary areas, such as probability, sampling, regression and analysis of variance are included, with enough detail (and reproduction of SPSS dialogue boxes and windows for up to version 13) to make the whole thing easy to follow." (Amanda Root, Journal of the Royal Statistical Society, Vol. 169 (4), 2006)
From the Back Cover
The second edition of this popular guide demonstrates the process of entering and analyzing data using the latest version of SPSS (12.0), and is also appropriate for those using earlier versions of SPSS. The book is easy to follow because all procedures are outlined in a step-by-step format designed for the novice user. Students are introduced to the rationale of statistical tests and detailed explanations of results are given through clearly annotated examples of SPSS output. Topics covered range from descriptive statistics through multiple regression analysis. In addition, this guide includes topics not typically covered in other books such as probability theory, interaction effects in analysis of variance, factor analysis, and scale reliability. Chapter exercises reinforce the text examples and may be performed for further practice, for homework assignments, or in computer laboratory sessions.
This book can be used in two ways: as a stand-alone manual for students wishing to learn data analysis techniques using SPSS for Windows, or in research and statistics courses to be used with a basic statistics text. The book provides hands-on experience with actual data sets, helps students choose appropriate statistical tests, illustrates the meaning of results, and provides exercises to be completed for further practice or as homework assignments.
Instructions are provided for using the World Wide Web to obtain the data sets to be analyzed. With this guide, students learn how to conduct reasonably sophisticated statistical analyses using SPSS while gaining insight into the nature and purpose of statistical investigation.
Susan B. Gerber, Ph.D. is Assistant Professor of Education at State University of New York at Buffalo. She is director of the Educational Technology program and holds degrees in Statistics and Educational Psychology.
Kristin Voelkl Finn, Ph.D. is Assistant Professor of Education at Canisius College. She teaches graduate courses in research methodology and conducts research on adolescent problem behavior.
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Most helpful customer reviews
2 of 2 people found the following review helpful.
detailed into to SPSS 13 for novices, but getting tutorial files requires time
By +++
This book is an introduction to SPSS 13 for beginners, which explains how to perform certain common operations step by step through hands-on exercises. The following topics are covered - user interface of SPSS, descriptive statistics (plots, medians, ranges, deviations), probability, inferential statistics, ANOVA, and exploratory factor analysis. Since the book is rather thin (193 pages of text + appendices), it goes through every topic quickly, which may be both good and bad depending on how much you want to learn and how much time you have...
The book is very detailed when it deals with description of the software, but it does require certain basic knowledge of statistics. The author does not even attempt to explain the statistical concepts used in the book. If you do not know what all these words mean, you are out of luck. I, for instance, know some basics and made it through the first half of the book in one day, but was totally lost when I got to chapter 10 where two-tailed tests, null hypotheses, etc., were introduced
What I found frustrating is that getting tutorial files requires a lot of work. About a third of them can be downloaded from Springer's web site in one package. The rest has to be downloaded individually, each file from its own web site, using URLs from the Appendix A. Many of them open as ASCII text in your web browser, after which you have to copy the data, paste into a text file, save it, then import in SPSS... Was it so difficult to combine them all in one convenient package, or use the same data file over and over again? I also suspect that some of the data which come from the web sites of scientific journals may require paid subscription, either individual or through the company/university, to access the files.
I actually read half of the book, skipping the examples which were not included into the Springer package, before I realized that instructions where to find them were in the Appendix A. The author did not care to expain in the beginning that this is where one should look for instructions where to find them. Very frustrating. To make things worse, some of the files (such as war.sav) are neither included in Springer package, nor there is a link to them in the Appendix A.
The good part is that each chapter ends with 4-5 simple exercises based on what was discussed in the text.
Summary: acceptable book for a beginner with some background in statistics, works well for a quick introduction, contains many hands-on exercises which are well described (but getting tutorial files from the web one at a time requires work). Since it covers only the basics, only selected options and capabilities of the SPSS package are presented. Not surprisingly, it does not contain enough reference information to substitute the manual.
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