This new edition of one of the most widely read textbooks in its field introduces the reader to data analysis with the most powerful and versatile statistical package on the market: IBM SPSS Statistics 19. Each new release of SPSS Statistics features new options and other improvements. There remains a core of fundamental operating principles and techniques which have continued to apply to all releases issued in recent years and have been proved to be worth communicating in a small volume. This practical and informal book combines simplicity and clarity of presentation with a comprehensive treatment of the use of IBM SPSS Statistics 19 for the description, exploration and confirmation of data. As in earlier editions, coverage has been extended to address the issues raised by readers since the previous edition. In this edition, there is an introduction to the Analysis of Covariance (ANCOVA). Each statistical technique is presented in a realistic research context and is fully illustrated with annotated screen shots of SPSS dialog boxes and output. The first chapter sets the scene with a survey of typical research situations, key terms and clear signposts to the location of each technique in the book. It also offers guidance on the choice of statistical techniques, and advice (based on the American Psychological Association’s guidelines) on how to report the results of a statistical analysis. The next chapters introduce the reader to the use of SPSS, beginning with the entry, description and exploration of data. There is also a full description of the capabilities of the versatile Chart Builder. Each of the remaining chapters concentrates on one particular kind of research situation and the statistical techniques that are appropriate. In summary, IBM SPSS Statistics 19 Made Simple Gets you started with SPSS. Shows you how to describe and explore a data set with the help of SPSS’s extensive graphics and data-handling menus. Helps you to choose appropriate statistical techniques. Warns you of pitfalls arising from the misuse of statistics. Shows you how to report the results of a statistical analysis. Shows you how to use Syntax to implement some useful procedures and operations. Introduces the reader to the analysis of covariance (ANCOVA) Has a comprehensive glossary. Is now presented in an attractive two-colour format. The book’s accompanying website contains datasets for the chapters of the book, as well as a large body of exercises (with data sets), and notes on statistical terms. Instructor resources include a PowerPoint lecture course and Multiple-Choice Question tests, which are also available free of charge to lecturers adopting the book and their students. Please visit http://www.psypress.com/spss-made-simple for more details.
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.
This text explores the concept of major and serious crime investigations as it takes the reader through the fundamental elements of investigative theory and practice that are relevant to this area of criminality. Unlike other texts that concentrate on either bespoke areas of criminality such as homicide, terrorism or tends in concepts such as county lines, this book recognises that the reader will be new to investigative study with little practitioner experience to anchor their learning. By using the latest evidence-based policing knowledge and critical thinking, it explores the concepts of major and serious crime, detailing key areas of legislation and how investigative strategies and decision making can influence successful outcomes. Other topics examined in this text is the key areas of risk for major and serious crime investigations, the impact on investigators, the concept of disclosure, investigative interviewing and how civil orders, designed to tackle this type of criminality can provide a successful alternative to prosecution. Both students and practitioners can find this book useful with this book's contemporary approach of using case studies and contemporary investigative examples relevant to the topic. This book brings together academic theory and operational understanding of major and serious crime that provides learners with an easy to follow guide that they can keep returning to throughout their career.
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.
Imaginary Friendship is the first in-depth study of the onset of the American Revolution through the prism of friendship, focusing on future US president John Adams and leading Loyalist Jonathan Sewall. The book is part biography, revealing how they shaped each other’s progress, and part political history, exploring their intriguing dangerous quest to clean up colonial politics. Literary history examines the personal dimension of discourse, resolving how Adams’s presumption of Sewall’s authorship of the Loyalist tracts Massachusettensis influenced his own magnum opus, Novanglus. The mystery is not why Adams presumed Sewall was his adversary in 1775 but why he was impelled to answer him.
SPSS 12 Made Simple provides a step-by-step coverage of every aspect of data analysis with SPSS from data entry to interpretation of the output. As well as advice on data entry and checking, there is guidance on the best ways of describing a data set and the choice of an appropriate statistical technique. Finally, the output is fully explained, with reference to fully annotated SPSS output. Extensive illustrations show exactly what is on the screen at every stage of the process, helping the reader to avoid common pitfalls and check their progress along the way. Most chapters end with practical exercises to illustrate the main points raised and allow the reader to test their understanding; but there is a final general revision section with further exercises on a range of topics. In view of the recommendations of the American Psychological Association, the book now contains advice on strength of effect, power and sample size. There is also guidance on how to report the results of statistical tests in journal articles. This new edition is written with the same clarity that has made the book such a success in the past. The initial chapters provide an introduction to the basics of SPSS, such as data entry, followed by more advanced techniques, such as sorting, case selection, aggregation and file merging. In these early chapters, the emphasis is upon checking the accuracy of data entry and exploring the data thoroughly before making any formal statistical tests. There is also extensive coverage of the powerful new graphics capabilities of SPSS 12. Each of the later chapters is devoted to a particular statistical technique. SPSS 12 Made Simple: *Covers a wide range of statistical tests including t-tests, ANOVA, correlation, regression, multi-way frequency analysis, discriminant analysis, logistic regression and factor analysis. *Shows you how to get as much out of your data as possible. *Gives advice (with appropriate cautions and caveats) on choosing a statistical test. *Makes extensive use of annotated screen snapshots of SPSS output, windows and dialog boxes. *Includes both chapter-specific and general exercises. *Has a comprehensive index.
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