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.Screenshots, explanations, and step-by-step boxes have been fully updated to reflect SPSS 26.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. Back matter includes a description of data files used in exercises, an exhaustive glossary, suggestions for further reading and a comprehensive index. 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. Exercises at the end of each chapter support students by providing additional opportunities to practice using SPSS. Output for each procedure is explained and illustrated, and every output term is defined. Extensive use of four-color screen shots, clear writing, and step-by-step boxes guide readers through the program. 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.

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