IBM SPSS statistics 18 made simple

著者

書誌事項

IBM SPSS statistics 18 made simple

Paul R. Kinnear, Colin D. Gray

Psychology Press, 2010

  • : pbk

タイトル別名

IBM SPSS statistics 18 made simple : school of psychology university of Aberdeen

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注記

Bibliography: p.635-636

Includes index

内容説明・目次

内容説明

This two-colour new edition of one of the most widely read textbooks in its field introduces the reader to data analysis with the most versatile statistical package on the market: IBM SPSS Statistics 18. Although each new release of SPSS Statistics features new options and improvements, there remains a core of fundamental operating principles which apply to all the versions issued in recent years. This friendly and informal book combines simplicity and clarity of presentation with a comprehensive treatment of the use of IBM SPSS Statistics 18 for the description, exploration and interpretation of data. As in earlier editions, coverage has been extended to address the issues raised by readers since the previous edition. This edition, for example, by request, describes the use of the AMOS package for path analysis and confirmatory factor analysis. Each statistical technique is presented in a realistic research context and is fully illustrated with 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 provides guidance on the choice of statistical techniques, and advice (based on the American Psychological Association's guidelines) on how to report the results of statistical analyses. 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 18 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 the 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. Shows how to use the AMOS package to run path analysis and confirmatory factor analysis. Has a comprehensive glossary. Is now presented in attractive two-colour. The book's accompanying website features datasets for the exercises in the book, as well as a large body of exercises, and notes on statistical terms. Instructor resources, including a PowerPoint lecture course and Multiple-Choice Question tests, are also available free of charge to qualifying adopters of the book and their students. Please visit http://www.psypress.com/spss-made-simple for more details.

目次

1. Introduction. 2. Getting Started with SPSS Statistics 18. 3. Editing Data Sets. 4. Describing and Exploring your Data. 5. Graphs and Charts. 6. Comparing Averages: Two-sample and One-sample Tests. 7. The One-way ANOVA. 8. Between Subjects Factorial Experiments. 9. Within Subjects Experiments. 10. Mixed Factorial Experiments. 11. Measuring Statistical Association. 12. Regression. 13. Analyses of Multiway Frequency Tables. 14. Discriminant Analysis and Logistic Regression. 15. The Search for Latent Variables: Factor Analysis.

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