标题（title）：IBM SPSS Statistics 26 Step By Step: A Simple Guide And Reference
作者（author）：Darren George, Paul Mallery
出版社（publisher）：Routledge/Taylor & Francis Group
大小（size）：19 MB (20207387 bytes)
IBM SPSS Statistics 26 Step by Step: A Simple Guide and Reference, sixteenth 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 multi-dimensional 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. Back matter includes a description of data files used in exercises, an exhaustive glossary, suggestions for further reading and a comprehensive index. IMB SPSS Statistics 26 Step by Step is distributed in 85 countries, has been an academic best seller through most of the earlier editions, and has proved invaluable aid to thousands of researchers and students. New to this edition: Screenshots, explanations, and step-by-step boxes have been fully updated to reflect SPSS 26 How to handle missing data has been revised and expanded and now includes a detailed explanation of how to create regression equations to replace missing data More explicit coverage of how to report APA style statistics; this primarily shows up in the Output sections of Chapters 6 through 16, though changes have been made throughout the text.
Table of contents :
Preface1. An Overview of IBM (R) SPSS (R) Statistics2A. IBM SPSS Statistics Processes for PC2B. IBM SPSS Statistics Processes for Mac 3. Creating and Editing a Data File4. Managing Data5. Graphs and Charts: Creating and Editing6. Frequencies7. Descriptive Statistics8. Crosstabulation and 2 Analyses9. The Means Procedure10. Bivariate Correlation11. The t Test Procedure12. The One-Way ANOVA Procedure13. General Linear Model: Two-Way ANOVA14. General Linear Model: Three-Way ANOVA15. Simple Linear Regression 16. Multiple Regression Analysis17. Nonparametric Procedures 18. Reliability Analysis 19. Multidimensional Scaling20. Factor Analysis21. Cluster Analysis22. Discriminant Analysis23. General Linear Models: MANOVA and MANCOVA24. G.L.M.: Repeated-Measures MANOVA25. Logistic Regression26. Hierarchical Log-Linear Models27. Nonhierarchical Log-Linear Models28. Residuals: Analyzing Left-Over VarianceData FilesGlossary ReferencesCreditsIndex