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 multidimensional 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 27 Step by Step: A Simple Guide and Reference, seventeenth edition, takes a straightforward, step-by-step approach that makes SPSS software clear to beginners and experienced researchers alike. ![]() Here you will find the online resources that have been designed to accompany the textbook in the form of answers to selected questions and datasets for students, along with PowerPoint slides and a test bank for instructors. ![]() Welcome to the companion website for the sixteenth edition of IBM SPSS Statistics 26 Step by Step.
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