This new edition of one of the most widely read textbooks in its field introduces the reader to data analysis with the most powerful and versatile statistical package on the market: IBM SPSS Statistics 19. Each new release of SPSS Statistics features new options and other improvements. There remains a core of fundamental operating principles and techniques which have continued to apply to all releases issued in recent years and have been proved to be worth communicating in a small volume. This practical and informal book combines simplicity and clarity of presentation with a comprehensive treatment of the use of IBM SPSS Statistics 19 for the description, exploration and confirmation of data. As in earlier editions, coverage has been extended to address the issues raised by readers since the previous edition. In this edition, there is an introduction to the Analysis of Covariance (ANCOVA). Each statistical technique is presented in a realistic research context and is fully illustrated with annotated screen shots of SPSS dialog boxes and output. The first chapter sets the scene with a survey of typical research situations, key terms and clear signposts to the location of each technique in the book. It also offers guidance on the choice of statistical techniques, and advice (based on the American Psychological Association's guidelines) on how to report the results of a statistical analysis. The next chapters introduce the reader to the use of SPSS, beginning with the entry, description and exploration of data. There is also a full description of the capabilities of the versatile Chart Builder. Each of the remaining chapters concentrates on one particular kind of research situation and the statistical techniques that are appropriate. In summary, IBM SPSS Statistics 19 Made Simple Gets you started with SPSS. Shows you how to describe and explore a data set with the help of SPSS's extensive

This new edition of one of the most widely read textbooks in its field introduces the reader to data analysis with the most powerful and versatile statistical package on the market: IBM SPSS Statistics 19. Each new release of SPSS Statistics features new options and other improvements. There remains a core of fundamental operating principles and techniques which have continued to apply to all releases issued in recent years and have been proved to be worth communicating in a small volume. This practical and informal book combines simplicity and clarity of presentation with a comprehensive treatment of the use of IBM SPSS Statistics 19 for the description, exploration and confirmation of data. As in earlier editions, coverage has been extended to address the issues raised by readers since the previous edition. In this edition, there is an introduction to the Analysis of Covariance (ANCOVA). Each statistical technique is presented in a realistic research context and is fully illustrated with annotated screen shots of SPSS dialog boxes and output. The first chapter sets the scene with a survey of typical research situations, key terms and clear signposts to the location of each technique in the book. It also offers guidance on the choice of statistical techniques, and advice (based on the American Psychological Association's guidelines) on how to report the results of a statistical analysis. The next chapters introduce the reader to the use of SPSS, beginning with the entry, description and exploration of data. There is also a full description of the capabilities of the versatile Chart Builder. Each of the remaining chapters concentrates on one particular kind of research situation and the statistical techniques that are appropriate. In summary, IBM SPSS Statistics 19 Made Simple Gets you started with SPSS. Shows you how to describe and explore a data set with the help of SPSS's extensive graphics and data-handling menus. Helps you to choose appropriate statistical techniques. Warns you of pitfalls arising from the misuse of statistics. Shows you how to report the results of a statistical analysis. Shows you how to use Syntax to implement some useful procedures and operations. Introduces the reader to the analysis of covariance (ANCOVA) Has a comprehensive glossary. Is now presented in an attractive two-colour format. The book's accompanying website contains datasets for the chapters of the book, as well as a large body of exercises (with data sets), and notes on statistical terms. Instructor resources include a PowerPoint lecture course and Multiple-Choice Question tests, which are also available free of charge to lecturers adopting the book and their students. Please visit http://www.psypress.com/spss-made-simple for more details.

This new edition of the extremely popular textbook introduces the reader to the latest release of SPSS. New to this release is the enhanced Data Editor, which presents the user with two alternative Data Editor windows: Data View (as in previous releases) and Variable View, which displays the names and details of each variable in rows. In addition, SPSS 10 continues to offer the powerful Viewer output manager first introduced with SPSS 8, which gives greater editorial control over content and appearance and enables the user to produce tables, charts and graphs of a much higher quality.
The first six chapters and associated exercises provide an introduction to the basics of working with SPSS, while the remaining chapters cover more advanced topics such as various ANOVA designs, correlation and regression, loglinear analysis, discriminant analysis and, new to this edition, logistic regression.
Further important changes and additions have also been made, prompted partly by readers' responses to earlier editions. Given modern familiarity with the PC, the first chapter 'The Personal Computer' has now been replaced with an expanded and consolidated discussion of basic research principles and advice on choosing a statistical test. Chapter 6 has been expanded to include a new section on One-sample Tests, including the one-sample t-test and various goodness-of-fit tests. In addition, to facilitate and test deeper understanding of the material covered, this edition includes a separate section of stand-alone exercises, which require the reader to decide upon an appropriate analysis without the aid of chapter context. As always, plentiful screen images of menus, dialogue boxes and output help the reader both to use SPSS 10 and understand the output.
At all times, the authors have concentrated upon clarity and pser friendliness and avoided compendious detail. This, combined with a breadth of coverage much greater than that offered by most comparable texts, will ensure that this book continues to prove invaluable to the experienced researcher, postgraduate and undergraduate alike.
In summary, SPSS for Windows Made Simple (Release 10):
* introduces the reader to the use of SPSS 10 in the Windows environment
* shows you how to get as much information from your data as possible
* gives advice on choosing a statistical test
* offers cautions and caveats about the use and abuse of statistics
* has plentiful screen images of menus and dialogue boxes
* illustrates data exploration and statistical analysis with fully annotated output
* contains an abundance of worked examples
* includes both chapter-specific and more general practical exercises
* has a comprehensive index.

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