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 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. Move up to the next highest folder or disk driveįolder or disk drive to look in Files in the folder Click when all boxes have correct information Type file name In case you change your mind Identify the file type Use subsets of variables/use all variablesĪccess information about the current variable Go to a particular variable or case number Shifts between numbers and labels for variables with several levels Insert subject or case into the data file (upper left corner) the “+” sign indicates that this is the active file
Scroll bars “Data View” and “Variable View” tabs Variables Subject or case numbers Empty data cells Residuals: Analyzing Left-Over VarianceData FilesGlossary ReferencesCreditsIndex Citation preview General Linear Models: MANOVA and MANCOVA24. Graphs and Charts: Creating and Editing6. An Overview of IBM (R) SPSS (R) Statistics2A.
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