Nội dung text 183 - SPSS 25 step by step.pdf
Icon Function Icon Function Icon Function Click this to open a file Save current file Print file Recall a recently- used command Undo the last operation Redo something you just undid Find data Insert subject or case into the data file Insert new variable into the data file Split file into subgroups Weight cases Select cases (upper left corner) the “+” sign indicates that this is the active file Go to a particular variable or case number Access information about the current variable Shifts between numbers and labels for variables with several levels Use subsets of variables/use all variables Spell check Front 2 Open Data Screen Folder or disk drive to look in Move up to the next highest folder or disk drive Files in the folder Click when all boxes have correct information Type file name Identify the file type In case you change your mind Front 1 Initial data screen Menu commands Variables Toolbar icons Subject or case numbers Empty data cells Scroll bars “Data View” and “Variable View” tabs Minimize and maximize buttons
IBM SPSS Statistics 25 Step by Step IBM SPSS Statistics 25 Step by Step: A Simple Guide and Reference, fifteenth 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. Exercises at the end of each chapter support students by providing additional opportunities to practice using SPSS. This book covers both the basics of descriptive statistical analysis using SPSS through to more advanced topics such as multiple regression, multidimensional scaling and MANOVA, including instructions for Windows and Mac. This makes it ideal for both undergraduate statistics courses and for postgraduates looking to further develop their statistics and SPSS knowledge. New to this edition: • Updated throughout to SPSS 25 • Updated / restructured material on: Chart Builder; Univariate ANOVA; moderation on two- and three-way ANOVA; and Factor Analytic Techniques (formerly Factor Analysis structure) • New material on computing z and T scores, and on computing z scores within descriptive statistics • Clearer in-chapter links between the type of data and type of research question that the procedure can answer • Updated / additional datasets, exercises, and expanded Companion Website material, including Powerpoint slides for instructors All datasets used in the book are available for download at: www.routledge.com/cw/george Darren George is a Professor of Psychology at Burman University (Alberta, Canada) whose research focuses on intimate relationships. He teaches classes in personality and social psychology, research methods, and multivariate analysis. Paul Mallery is a Professor of Psychology at La Sierra University whose research focuses on the intersection of religion and prejudice. He teaches classes in research methodology, statistics, social psychology, and political psychology.