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Zusatztext "A great book for researchers who need to perform statistical techniques using SPSS." - Morteza Marzjarani! Saginaw Valley State University! USA! in The American Statistician"This new release book! which is an update on the author's previous books of this genre! is written for any student! lecturer or researcher who wishes to do some statistical analysis with SPSS. No previous knowledge of SPSS is assumed and the authors have incorporated annotated snapshots of dialog boxes and outputs to aid the reader and to clarify the text. ... A useful guideto help the reader to use SPSS and to analyze their own data." - Susan Starkings! London South Bank University Informationen zum Autor Colin D. Gray Klappentext 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. Zusammenfassung 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. Inhaltsverzeichnis 1. Introduction. 2. Getting Started with SPSS Statistics 19. 3. Editing Data Sets. 4. Describing and Exploring Your Data. 5. More On 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. The Analysis of Covariance (ANCOVA). 14. Analyses of Multiway Frequency Tables. 15. Predicting Category Membership: Logistic Regression. 16. The Search for Latent Variables: Factor Analysis.
List of contents
1. Introduction. 2. Getting Started with SPSS Statistics 19. 3. Editing Data Sets. 4. Describing and Exploring Your Data. 5. More On 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. The Analysis of Covariance (ANCOVA). 14. Analyses of Multiway Frequency Tables. 15. Predicting Category Membership: Logistic Regression. 16. The Search for Latent Variables: Factor Analysis.
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"This new release book, which is an update on the author's previous books of this genre, is written for any student, lecturer or researcher who wishes to do some statistical analysis with SPSS. No previous knowledge of SPSS is assumed and the authors have incorporated annotated snapshots of dialog boxes and outputs to aid the reader and to clarify the text. ... A useful guide to help the reader to use SPSS and to analyze their own data." - Susan Starkings, London South Bank University
