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SPSS for Macintosh Made Simple is an introductory guide for the Macintosh user. This book has all the features of the successful & highly acclaimed book by the same authors, SPSS for Windows Made Simple, 2nd Edition (Psychology Press, 1997). There is an abundance of worked examples, which include annotated SPSS output listings & actual screen images, icons & dialog boxes. These are accompanied by comments clarifying the points that have arisen most frequently from students' queries during practical classes run by the authors. The range of problems & techniques covered is much wider than in comparable introductory texts, & this book will prove invaluable to the experienced researcher & the undergraduate alike. The text includes a complete course of practical exercises covering all the main topics considered in the text. This book: introduces the reader to the Macintosh environment for SPSS; shows the reader how to explore & depict a set of data; gives advice on choosing a statistical test; includes important cautions & caveats about the use of statistics; illustrates techniques with fully annotated SPSS menus, dialog boxes & output; contains an abundance of worked examples & exercises for the reader; has a comprehensive table of contents & index.
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.
This new edition incorporates recent developments in SPSS (and in Windows) by drawing upon screen images, dialog boxes and output from SPSS 8 in the Windows 95 environment. A feature of SPSS 8 is the new, powerful Viewer output manager, which enables the user to produce better tables, charts and graphs by affording greater editorial control over both content and appearance than was possible in previous versions. The first six chapters (on data handling and exploration, graph plotting and two-sample statistical tests) and the associated exercises provide an introduction to the basics of working with SPSS, while the remaining chapters cover more advanced topics such as various ANOVA designs, correlation and regression, loglinear analysis, discriminant anlysis and factor analysis. In response to the comments of readers worldwide, the authors have expanded sections on the inputting and exploration of data, graphical procedures and advice on choosing appropriate statistical tests. The remaining chapters have also been revised. Where appropriate, chapters include images of dialog boxes, output listings and exercises for student courses.
The fun and friendly guide to mastering IBM’s Statistical Package for the Social Sciences Written by an author team with a combined 55 years of experience using SPSS, this updated guide takes the guesswork out of the subject and helps you get the most out of using the leader in predictive analysis. Covering the latest release and updates to SPSS 27.0, and including more than 150 pages of basic statistical theory, it helps you understand the mechanics behind the calculations, perform predictive analysis, produce informative graphs, and more. You’ll even dabble in programming as you expand SPSS functionality to suit your specific needs. Master the fundamental mechanics of SPSS Learn how to get data into and out of the program Graph and analyze your data more accurately and efficiently Program SPSS with Command Syntax Get ready to start handling data like a pro—with step-by-step instruction and expert advice!
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.
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. 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 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. The end sections include a description of data files used in exercises, an exhaustive glossary, suggestions for further reading, and a comprehensive index. IBM SPSS Statistics 27 Step by Step is distributed in 85 countries, has been an academic best seller through most of the earlier editions, and has proved an 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 27 A new chapter on a priori power analysis helps researchers determine the sample size needed for their research before starting data collection.
Key Methods in Geography is an introduction for undergraduates to the principal methodological issues involved in the collection, analysis and presentation of geographical information. It provides an accessible primer, which will be used by students as a reference throughout their degree, on all issues from research design to presentation. A unique feature of the book is that it provides definitions of terms from both human geography and physical geography. Organized into four parts: Getting Started in Geographical Research; Data Collection in Human Geography; Data Collection in Physical Geography; Analyzing and Representing Geographical Data. Each chapter is comprised of a short definition, a summary of the principal arguments, a substantive 5,000-word discussion, the use of real-life examples, and annotated notes for further reading. The teaching of research methods is integral in all geography courses. Key Methods in Geography identifies the key analytical and observational strategies with which all geography undergraduates should be conversant.
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.
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.
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