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An Introduction to Secondary Data Analysis with IBM SPSS Statistics

Many professional, high-quality surveys collect data on people's behaviour, experiences, lifestyles and attitudes. The data they produce is more accessible than ever before. This book provides students with a comprehensive introduction to using this data, as well as transactional data and big data sources, in their own research projects. Here you will find all you need to know about locating, accessing, preparing and analysing secondary data, along with step-by-step instructions for using IBM SPSS Statistics. You will learn how to: Create a robust research question and design that suits secondary analysis Locate, access and explore data online Understand data documentation Check and 'clean' secondary data Manage and analyse your data to produce meaningful results Replicate analyses of data in published articles and books Using case studies and video animations to illustrate each step of your research, this book provides you with the quantitative analysis skills you'll need to pass your course, complete your research project and compete in the job market. Exercises throughout the book and on the book's companion website give you an opportunity to practice, check your understanding and work hands on with real data as you're learning.

The data they produce is more accessible than ever before. This book provides students with a comprehensive introduction to using this data, as well as transactional data and big data sources, in their own research projects.

SPSS Statistics For Dummies

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!

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 ...

Using SPSS

An Interactive Hands-On Approach

This practical book can be used as a supplementary text or as a self-help guide through which the reader can learn to use SPSS on their own, and at their own pace. The book uses statistics to teach the use of SPSS, by interacting with the software and learning by inquiry and discovery. Each chapter includes an introduction and list of objectives indicating what the reader will be able to do by the end of the chapter. Bulleted phrases provide step-by-step guidance as readers work through the exercises.

This practical book can be used as a supplementary text or as a self-help guide through which the reader can learn to use SPSS on their own, and at their own pace.

Doing Data Analysis with SPSS: Version 16.0

Now updated for SPSS 16.0, this book is an excellent supplement to any introductory statistics course. It provides a practical and useful introduction to SPSS 16.0 and enables students to work independently to learn helpful software skills outside of class. By using SPSS to handle complex computations, students can focus on and gain an understanding of the underlying statistical concepts and techniques in the introductory statistics course. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Now updated for SPSS 16.0, this book is an excellent supplement to any introductory statistics course.

Introductory Statistics for Health and Nursing Using SPSS

With the inclusion of real-world data and a host of health-related examples, this is an impressive introductory statistics text ideal for all health science and nursing students. Health and nursing students can be anxious and lacking in confidence when it comes to handling statistics. This book has been developed with this readership in mind. This accessible text avoids using long and off-putting statistical formulae in favor of non-daunting practical and SPSS-based examples. What’s more, its content will fit ideally with the common course content of stats courses in the field.

This book has been developed with this readership in mind. This accessible text avoids using long and off-putting statistical formulae in favor of non-daunting practical and SPSS-based examples.

SPSS Advanced Statistics 7.5

A guide to the various statistical techniques avaiable with SPSS Advanced Statistics and how to obtain the appropriate statistical analysis with dialog box interface. A reference guide provides syntax for all SPSS Advanced Statistics commands. Statistical procedures in this module include: general linear model; multivariate analysis of variance, loglinear, hierachical loglinear, genlog; and survival.

The Advanced Statistics option is an add-on enhancement that provides additional statistical analysis techniques. The procedures in Advanced Statistics must be used with the SPSS 7.5 Base and are completely integrated into that system.

An Intermediate Guide to SPSS Programming

Using Syntax for Data Management

An Intermediate Guide to SPSS Programming: Using Syntax for Data Management introduces the major tasks of data management and presents solutions using SPSS syntax. This book fills an important gap in the education of many students and researchers, whose coursework has left them unprepared for the data management issues that confront them when they begin to do independent research. It also serves as an introduction to SPSS programming. All the basic features of SPSS syntax are illustrated, as are many intermediate and advanced topics such as using vectors and loops, reading complex data files, and using the SPSS macro language.

This book fills an important gap in the education of many students and researchers, whose coursework has left them unprepared for the data management issues that confront them when they begin to do independent research.

Marketing Research with IBM® SPSS Statistics

A Practical Guide

Marketing researchers, companies and business schools need to be able to use statistical procedures correctly and accurately interpret the outputs, yet generally these people are scared off by the statistics behind the different analyses procedures, thus they often rely on external sources to come up with profound answers to the proposed research questions. In an accessible and step by step approach, the authors show readers which procedures to use in which particular situation and how to practically execute them using IBM® SPSS Statistics. IBM® is one of the largest statistical software providers world-wide and their IBM® SPSS Statistics software offers a very user-friendly environment. The program uses a simple drag-and-drop menu interface, which is also suitable for non-experienced programmers. It is widely employed in companies and many business schools also use this software package. This straightforward, pragmatic reference manual will help: professional marketers who use statistical procedures in in IBM® SPSS Statistics; undergraduate and postgraduate students where marketing research and research methodology are taught; all researchers analyzing survey-based data in a wide range of frontier domains like psychology, finance, accountancy, negotiation, communication, sociology, criminology, management, information systems, etc. IBM®'s next-generation business analytic solutions help organizations of all sizes make sense of information in the context of their business. You can uncover insights more quickly and easily from all types of data-even big data-and on multiple platforms and devices. And, with self-service and built-in expertise and intelligence, you have the freedom and confidence to make smarter decisions that better address your business imperatives.

This straightforward, pragmatic reference manual will help: professional marketers who use statistical procedures in in IBM® SPSS Statistics; undergraduate and postgraduate students where marketing research and research methodology are ...

Statistics for Politics and International Relations Using IBM SPSS Statistics

Guiding you from first principles to advanced techniques, this book uses IBM SPSS Statistics examples specific to your Politics and International Relations studies to equip you with the tools to understand key concepts in quantitative research, and use them to produce and interpret data. The book takes you through the entire research process, from choosing a research question through to writing up your findings. Key features include: Software-specific sections in each chapter to show you how to use SPSS, while mathematical equations are kept to a minimum Packed with real life examples Extensive learning features including: chapter objectives, boxed summaries, illustrations, exercises and end-of-chapter questions, suggestions of further reading and a glossary Accompanied by a collection of online resources including datasets, exercises, multiple choice questions, podcasts, videos and further reading and weblinks. This is an invaluable research companion for students of Politics and International Relations using IBM SPSS Statistics.

This is an invaluable research companion for students of Politics and International Relations using IBM SPSS Statistics.

A Conceptual Guide to Statistics Using SPSS

This book helps students develop a conceptual understanding of a variety of statistical tests by linking the statistics with the computational steps and output from SPSS. Learning how statistical ideas map onto computation in SPSS will help students build a better understanding of both. For example, seeing exactly how the concept of variance is used in SPSS-how it is converted into a number based on real data, which other concepts it is associated with, and where it appears in various statistical tests-will not only help students understand how to use statistical tests in SPSS and how to interpret their output, but will also teach them about the concept of variance itself. Each chapter begins with a student-friendly explanation of the concept behind each statistical test and how the test relates to that concept. The authors then walk through the steps to compute the test in SPSS and the output, pointing out wherever possible how the SPSS procedure and output connects back to the conceptual underpinnings of the test. Each of the steps is accompanied by annotated screen shots from SPSS, and relevant components of output are highlighted in both the text and in the figures. Sections explain the conceptual machinery underlying the statistical tests. In contrast to merely presenting the equations for computing the statistic, these sections describe the idea behind each test in plain language and help students make the connection between the ideas and SPSS procedures. These include extensive treatment of custom hypothesis testing in ANOVA, MANOVA, ANCOVA, and regression, and an entire chapter on the advanced matrix algebra functions available only through syntax in SPSS. The book will be appropriate for both advanced undergraduate and graduate level courses in statistics.

"This book helps students develop a conceptual understanding of a variety of statistical tests by linking the statistics with the computational steps and output from SPSS.