This textbook guides students through the most basic of SPSS techniques using step-by-step descriptions, presents statistical techniques and instruction on how to conduct statistical analyses, and explains in detail how to avoid all the obstacles common in the study of statistics.

Will help anyone use SPSS to successfully analyze data, interpret results, and describe findings. This complete introductory guide to SPSS has been thoroughly updated for the software's latest versions: 12.0 for Windows and 11.0 for Macintosh. It has also been revised throughout for greater accessibility, simplicity, and ease of use. The book provides step-by-step walkthroughs of every basic SPSS and statistical technique, along with tips, examples, exercises, and extensive pedagogical support designed to promote rapid learning. Coverage includes: mastering the SPSS interface; creating and working with data files; defining and creating variables; working with data, charts, and output; univariate descriptive statistics; univariate and multivariate analyses; correlation, regression, and discriminate analysis; scaling and nonparametric procedures; and more. For everyone who wants to master the latest versions of SPSS. SPSS is used in a wide range of markets, including psychology and other areas of scientific research; marketing and surveys; financial services and insurance; education; government; telecommunications; and beyond.

This is a textbook for introductory courses in quantitative research methods across the social sciences. It offers a detailed explanation of introductory statistical techniques and presents an overview of the contexts in which they should be applied.

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.

Making statistics—and statistical software—accessible and rewarding This book provides readers with step-by-step guidance on running a wide variety of statistical analyses in IBM® SPSS® Statistics, Stata, and other programs. Author David Kremelberg begins his user-friendly text by covering charts and graphs through regression, time-series analysis, and factor analysis. He provides a background of the method, then explains how to run these tests in IBM SPSS and Stata. He then progresses to more advanced kinds of statistics such as HLM and SEM, where he describes the tests and explains how to run these tests in their appropriate software including HLM and AMOS. This is an invaluable guide for upper-level undergraduate and graduate students across the social and behavioral sciences who need assistance in understanding the various statistical packages.

What statistical test should I use for this kind of data? How do I set up the data? What parameters should I specify when ordering the test? How do I interpret the results? Herschel Knapp′s friendly and approachable guide to real-world statistics answers these questions. Intermediate Statistics Using SPSS is not about abstract statistical theory or the derivation or memorization of statistical formulas–it is about applied statistics. With jargon-free language and clear processing instructions, this text covers the most common statistical functions–from basic to more advanced. Practical exercises at the conclusion of each chapter offer students an opportunity to process viable data sets, write cohesive abstracts in APA style, and build a thorough comprehension of the statistical process. Students will learn by doing with this truly practical approach to statistics.

Written in an easy-to-read, straightforward manner, Next Steps with SPSS introduces readers to intermediate and advanced SPSS skills. These skills are introduced and illustrated with sample programs designed to apply powerful techniques in data handling and analysis, with the output from these programs presented and interpreted. The book is organized so that it builds increasingly advanced syntax coding skills, starting with the handling of complex data files and then moving to coverage of looping and macro skills. The book then switches to more windows-oriented skills suitable for working with SPSS output (as in pivot tables and interactive graphics) and for running SPSS in an alternative mode (as in a production facility). The book then returns to coding skills by introducing the more advanced topics of the scripting facility (which has broad application to handling data and creating output) and the matrix command language.