Автор: Kellie Bennett, Brody Heritage, Peter Allen
Издательство: Cengage Learning
Год: 2023
Страниц: 355
Язык: английский
Формат: pdf (true)
Размер: 41.6 MB
SPSS Statistics: A Practical Guide gives students step-by-step guidance through the process of using SPSS software to analyse, interpret and report on data.
IBM SPSS Statistics is a flexible set of data analytic tools used throughout many disciplines. Its roots can be traced back as far as 1968, when a small group of Stanford University doctoral students began developing the Statistical Package for the Social Sciences in response to their own need for a software system that would allow them to efficiently analyse the large amounts of data they were amassing at that time. This program quickly grew beyond the cloistered confines of Stanford, with the publication of the first user manual in 1970. SPSS Statistics: A Practical Guide continues this long tradition of opening statistical analysis up to students and early career researchers from a wide range of applied and academic disciplines. We hope you find it useful! IBM released IBM SPSS Statistics Version 28 in late 2021. SPSS Statistics is available for a number of operating
systems, including Microsoft Windows, Macintosh OSX, and several Linux distributions.
With SPSS Statistics: A Practical Guide we aim to introduce readers to a range of commonly used statistical procedures that can be performed with SPSS Statistics, and are typically included in the curricula of undergraduate applied statistics and research methodology units. Our approach is unashamedly practical, and highly visual. We take a hands-on approach to our subject matter, and work through each procedure in an illustrated, step-by-step fashion. Beyond the necessary focus on “doing”, we emphasise interpretation and reporting throughout this text, which contains hundreds of tables of tightly annotated SPSS Statistics output, and dozens of examples of how specific research findings can be communicated clearly and concisely.
This spiral bound text is concise yet detailed, and is praised for its friendly, practical, and visual pedagogical approach that focuses on ‘doing’. The illustrated step-by-step examples work through each statistical procedure and are followed by interpretation and reporting of results in APA style. Resources for the instructor include Instructor Manual, PowerPoints, practical exercises and datasets, revision quizzes, syntax sets, and more.
What's New:
New content – Power Analysis calculations and sample size calculations are new in SPSS 28. The steps for these calculations and explanation of the relevant output are included in Chapter 6. The process is transferable across analysis approaches, therefore students can apply the teachings in these examples to other options
NEW explanations of the processes in Syntax, in keeping with SPSS 28
Up-to-date with SPSS 28, the latest version of IBM's SPSS Statistics, including automatic calculation for some tests
Features:
A decision tree printed inside the front cover quickly enables the student to navigate to the correct section of the book based on the data problem they need to solve
Key concepts are shown in the 'Chapter overview' at the start of each chapter
Step-by-step instructions and full-colour annotated screen shots clearly and visually explain each procedure to help students more easily understand how to use SPSS Statistics version 28
Features in the text include: tips in the margin that highlight key considerations about the analysis or give hints that help learners make the best use of the software; the AKA icons identify where key terms in the text are commonly described differently in other contexts with the same meaning; LINK icons direct students to revisit useful topics from other sections or chapters as they progress through the text; and Try it out icons refer to the full data sets and syntax files used in the example (available on instructor website)
Checklists at the end of each analysis chapter remind students of key concerns and steps to complete
Spiral binding means the text can easily be used side-by-side while working on the computer using SPSS Statistical software
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