IBM SPSS Statistics 29 Step by Step: A Simple Guide and Reference, 18th edition, provides a clear, step-by-step guide for beginners and experienced researchers using SPSS. The book uses four-color screenshots, clear writing, and step-by-step instructions to explain procedures and define output terms. It includes exercises to reinforce learning and covers basic statistical analysis as well as advanced topics like multidimensional scaling, factor analysis, discriminant analysis, MANOVA, cluster analysis, logistic regression, and meta-analysis. The content is updated for SPSS 29 and includes data files, a glossary, and an index. The book is essential for students and instructors in social sciences, behavioral sciences, education, and beyond. It covers data entry, management, graph creation, and analysis procedures, with chapters organized by statistical methods. The first 17 chapters focus on basic analysis, while the final 13 cover more complex techniques. The example data file includes student information for a class, demonstrating various statistical procedures. The book also includes typographical and formatting conventions, screen illustrations, and step-by-step instructions for each procedure. It references SPSS manuals and other statistical texts for additional information.IBM SPSS Statistics 29 Step by Step: A Simple Guide and Reference, 18th edition, provides a clear, step-by-step guide for beginners and experienced researchers using SPSS. The book uses four-color screenshots, clear writing, and step-by-step instructions to explain procedures and define output terms. It includes exercises to reinforce learning and covers basic statistical analysis as well as advanced topics like multidimensional scaling, factor analysis, discriminant analysis, MANOVA, cluster analysis, logistic regression, and meta-analysis. The content is updated for SPSS 29 and includes data files, a glossary, and an index. The book is essential for students and instructors in social sciences, behavioral sciences, education, and beyond. It covers data entry, management, graph creation, and analysis procedures, with chapters organized by statistical methods. The first 17 chapters focus on basic analysis, while the final 13 cover more complex techniques. The example data file includes student information for a class, demonstrating various statistical procedures. The book also includes typographical and formatting conventions, screen illustrations, and step-by-step instructions for each procedure. It references SPSS manuals and other statistical texts for additional information.