IBM SPSS Statistics 26 Step by Step

IBM SPSS Statistics 26. Пошаговое руководство
Darren George, Paul Mallery
2019-12-06

IBM SPSS Statistics 26discriminant analysisfactor analysislogistic regressionmultidimensional scaling
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.
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Back matter includes an exhaustive glossary, further reading suggestions, and a comprehensive index to support reference use.
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Covers both basic statistical analysis and advanced topics: multidimensional scaling, factor analysis, discriminant analysis, internal consistency measures, MANOVA, cluster analysis, log-linear models, logistic regression, and residuals.
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Each procedure's output is explained and illustrated, with every output term defined for clarity.
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End-of-chapter exercises and provided data files support practical learning and practice using SPSS.
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Extensive four-color screenshots, clear writing, and step-by-step boxes guide users through SPSS procedures and outputs.
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More explicit guidance on reporting APA-style statistics is incorporated, especially in Output sections of Chapters 6–16.
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New edition updates screenshots and step-by-step content for SPSS 26, expands missing-data handling including regression-based imputation instructions.
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The book has broad international distribution (85 countries) and a history of academic best-seller status, indicating widespread adoption and usefulness.
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The book provides a straightforward, step-by-step guide to IBM SPSS Statistics 26 suitable for beginners and experienced researchers.

IBM SPSS Statistics 26 software (as taught and demonstrated in the textbook)

Instructional presentation and guidance on using SPSS 26 for statistical analyses, including procedural walkthroughs, output interpretation, exercises, and coverage of specific techniques (e.g., factor analysis, MANOVA, logistic regression, handling missing data, APA reporting)

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Publication Date
2019-12-06
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Authors
Darren George
Paul Mallery
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