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IBM SPSS Statistics 29 Step by Step

A Simple Guide and Reference
 
Edition number: 18
Publisher: Routledge
Date of Publication:
 
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Short description:

IBM SPSS Statistics 29 Step by Step: A Simple Guide and Reference, eighteenth edition, takes a straightforward, step-by-step approach that makes SPSS software clear to beginners and experienced researchers alike.

Long description:

IBM SPSS Statistics 29 Step by Step: A Simple Guide and Reference, eighteenth edition, takes a straightforward, step-by-step approach that makes SPSS software clear to beginners and experienced researchers alike.


Extensive use of four-color screen shots, clear writing, and step-by-step boxes guide readers through the program. Output for each procedure is explained and illustrated, and every output term is defined. Exercises at the end of each chapter support students by providing additional opportunities to practice using SPSS. This book covers the basics of statistical analysis and addresses more advanced topics such as multidimensional scaling, factor analysis, discriminant analysis, measures of internal consistency, MANOVA (between- and within-subjects), cluster analysis, Log-linear models, logistic regression, and a chapter describing residuals. New to this edition is a new chapter on meta-analysis that describes new SPSS procedures for analyzing effect sizes across studies, and the content has been thoroughly updated in line with the latest version of the SPSS software, SPSS 29. The end sections include a description of data files used in exercises, an exhaustive glossary, suggestions for further reading, and a comprehensive index.


Accompanied by updated online instructor?s materials and website data files, this is an essential resource for instructors and students needing a guide to using SPSS in their work, across the social sciences, behavioural sciences, education, and beyond.

Table of Contents:

1. An Overview of IBM? SPSS? Statistics  2A. IBM SPSS Statistics Processes for PC  2B. IBM SPSS Statistics Processes for Mac  3. Creating and Editing a Data File  4. Managing Data  5. Graphs and Charts: Creating and Editing  6. Frequencies  7. Descriptive Statistics  8. Crosstabulation and ?2 Analyses  9. The Means Procedure  10. A Priori Power Analysis: What Sample Size Do I Need?  11. Bivariate Correlation  12. The t Test Procedure  13. The One-Way ANOVA Procedure  14. General Linear Model: Two-Way ANOVA  15. General Linear Model: Three-Way ANOVA  16. Simple Linear Regression  17. Multiple Regression Analysis  18. Nonparametric Procedures  19. Reliability Analysis  20. Multidimensional Scaling  21. Factor Analysis  22. Cluster Analysis  23. Discriminant Analysis  24. General Linear Models: MANOVA and MANCOVA  25. G.L.M.: Repeated-Measures MANOVA  26. Logistic Regression  27. Hierarchical Log-Linear Models  28. Nonhierarchical Log-Linear Models  29. Residuals: Analyzing Left-Over Variance  30. Meta-Analysis