Items related to Crash Course in SPSS for Windows
Synopsis
A Crash Course in SPSS for Windows enables students to learn the package quickly and painlessly, provided they have some background knowledge of statistics.
- Presents a short, readable introduction so SPSS for Windows 8.0.
- Uses real life data sets and examples.
- Developed from the authors' own teaching needs and experience.
"synopsis" may belong to another edition of this title.
About the Author
Rod Corston is a part-time Lecturer in Psychology at Peterborough Regional College.
Andrew Colman is Professor of Psychology at Leicester University.
From the Back Cover
This simple, user-friendly introduction to SPSS for Windows has now been updated so that it can be used with Versions 10 and 11 of the software, and includes two completely new chapters on log-linear analysis and factor analysis. A new supporting website allows users to download the datasets used in the book direct from the internet. The second edition has been greatly improved in the light of feedback from usability trials but retains all of the features that have made the text so attractive to students and teachers:
- The material is concise and focused, enabling most users to learn the basics comfortably in about 10 easy hours.
- All the most widely used statistical techniques and graphic facilities in SPSS for Windows are clearly described.
- Every statistical procedure is explained with the help of a step-by-step analysis of a numerical example.
- All computational examples are taken from real data from published research.
- The authors have chosen small data sets to prevent the task of inputting the data becoming boring.
- Screen dumps on the page make it easy for students to cross between the text and the screen.
- For complete beginners, the first two chapters describe the basic features of Windows and explain how to get the SPSS package up and running.
The second edition continues to enable students to learn the package quickly and painlessly, assuming they have some understanding of statistical methods.Online support material to accompany this text is available at http://www.blackwellpublishing.com/corston
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