IBM SPSS Statistics 26 Step by Step: A Simple Guide and Reference

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.