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Data Analysis with IBM SPSS Statistics

Master data management & analysis techniques with IBM SPSS Statistics 24 About This Book Leverage the power of IBM SPSS Statistics to perform efficient statistical analysis of your data Choose the right statistical technique to analyze different types of data and build efficient models from your data with ease Overcome any hurdle that you might come across while learning the different SPSS Statistics concepts with clear instructions, tips and tricks Who This Book Is For This book is designed for analysts and researchers who need to work with data to discover meaningful patterns but do not have the time (or inclination) to become programmers. We assume a foundational understanding of statistics such as one would learn in a basic course or two on statistical techniques and methods. What You Will Learn Install and set up SPSS to create a working environment for analytics Techniques for exploring data visually and statistically, assessing data quality and addressing issues related to missing data How to import different kinds of data and work with it Organize data for analytical purposes (create new data elements, sampling, weighting, subsetting, and restructure your data) Discover basic relationships among data elements (bivariate data patterns, differences in means, correlations) Explore multivariate relationships Leverage the offerings to draw accurate insights from your research, and benefit your decision-making In Detail SPSS Statistics is a software package used for logical batched and non-batched statistical analysis. Analytical tools such as SPSS can readily provide even a novice user with an overwhelming amount of information and a broad range of options for analyzing patterns in the data. The journey starts with installing and configuring SPSS Statistics for first use and exploring the data to understand its potential (as well as its limitations). Use the right statistical analysis technique such as regression, classification and more, and analyze your data in the best possible manner. Work with graphs and charts to visualize your findings. With this information in hand, the discovery of patterns within the data can be undertaken. Finally, the high level objective of developing predictive models that can be applied to other situations will be addressed. By the end of this book, you will have a firm understanding of the various statistical analysis techniques offered by SPSS Statistics, and be able to master its use for data analysis with ease. Style and approach Provides a practical orientation to understanding a set of data and examining the key relationships among the data elements. Shows useful visualizations to enhance understanding and interpretation. Outlines a roadmap that focuses the process so decision regarding how to proceed can be made easily.

Master data management & analysis techniques with IBM SPSS Statistics 24 About This Book Leverage the power of IBM SPSS Statistics to perform efficient statistical analysis of your data Choose the right statistical technique to analyze ...

Introduction to R in IBM SPSS Modeler

This IBM RedpaperTM publication focuses on the integration between IBM® SPSS® Modeler and R. The paper is aimed at people who know IBM SPSS Modeler and have only a very limited knowledge of R. Chapters 2, 3, and 4 provide you with a high level understanding of R integration within SPSS Modeler enabling you to create or recreate some very basic R models within SPSS Modeler, even if you have only a basic knowledge of R. Chapter 5 provides more detailed tips and tricks. This chapter is for the experienced user and consists of items that might help you get up to speed with more detailed functions of the integration and understand some pitfalls.

This IBM RedpaperTM publication focuses on the integration between IBM® SPSS® Modeler and R. The paper is aimed at people who know IBM SPSS Modeler and have only a very limited knowledge of R. Chapters 2, 3, and 4 provide you with a high ...

Using SPSS for Windows

Data Analysis and Graphics

The second edition of this popular guide demonstrates the process of entering and analyzing data using the latest version of SPSS (12.0), and is also appropriate for those using earlier versions of SPSS. The book is easy to follow because all procedures are outlined in a step-by-step format designed for the novice user. Students are introduced to the rationale of statistical tests and detailed explanations of results are given through clearly annotated examples of SPSS output. Topics covered range from descriptive statistics through multiple regression analysis. In addition, this guide includes topics not typically covered in other books such as probability theory, interaction effects in analysis of variance, factor analysis, and scale reliability. Chapter exercises reinforce the text examples and may be performed for further practice, for homework assignments, or in computer laboratory sessions. This book can be used in two ways: as a stand-alone manual for students wishing to learn data analysis techniques using SPSS for Windows, or in research and statistics courses to be used with a basic statistics text. The book provides hands-on experience with actual data sets, helps students choose appropriate statistical tests, illustrates the meaning of results, and provides exercises to be completed for further practice or as homework assignments. Susan B. Gerber, Ph.D. is Research Assistant Professor of Education at State University of New York at Buffalo. She is director of the Educational Technology program and holds degrees in Statistics and Educational Psychology. Kristin Voelkl Finn, Ph.D. is Assistant Professor of Education at Canisius College. She teaches graduate courses in research methodology and conducts research on adolescent problem behavior.

This book can be used in two ways: as a stand-alone manual for students wishing to learn data analysis techniques using SPSS for Windows, or in research and statistics courses to be used with a basic statistics text.

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.

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.

SPSS Statistics for Data Analysis and Visualization

Dive deeper into SPSS Statistics for more efficient, accurate, and sophisticated data analysis and visualization SPSS Statistics for Data Analysis and Visualization goes beyond the basics of SPSS Statistics to show you advanced techniques that exploit the full capabilities of SPSS. The authors explain when and why to use each technique, and then walk you through the execution with a pragmatic, nuts and bolts example. Coverage includes extensive, in-depth discussion of advanced statistical techniques, data visualization, predictive analytics, and SPSS programming, including automation and integration with other languages like R and Python. You'll learn the best methods to power through an analysis, with more efficient, elegant, and accurate code. IBM SPSS Statistics is complex: true mastery requires a deep understanding of statistical theory, the user interface, and programming. Most users don't encounter all of the methods SPSS offers, leaving many little-known modules undiscovered. This book walks you through tools you may have never noticed, and shows you how they can be used to streamline your workflow and enable you to produce more accurate results. Conduct a more efficient and accurate analysis Display complex relationships and create better visualizations Model complex interactions and master predictive analytics Integrate R and Python with SPSS Statistics for more efficient, more powerful code These "hidden tools" can help you produce charts that simply wouldn't be possible any other way, and the support for other programming languages gives you better options for solving complex problems. If you're ready to take advantage of everything this powerful software package has to offer, SPSS Statistics for Data Analysis and Visualization is the expert-led training you need.

This book walks you through tools you may have never noticed, and shows you how they can be used to streamline your workflow and enable you to produce more accurate results.

Borrow library e-books for your iPad

In this ebook, you learn how to use the OverDrive Media Console app to open and read a library book that you download with your computer. You also learn how to use a different ebook reading app, Bluefire, that can also open ebooks provided by the OverDrive service and that offers a more flexible and convenient reading experience. (It can even “return” checked-out ebooks before the expiration date, if you want.) If you have access to a public library that provides the OverDrive service and a yearning for some ebook learning, this project’s for you.

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E-book Platforms for Libraries

E-book vendors continue to experiment: adjustments to business models, consolidation of content, and mergers with competitors mean constant change. What’s good for innovation can equal confusion when it comes to choosing an e-book platform for your library. Making a sound purchasing decision requires research and close consideration of trade-offs, and Roncevic’s new issue of Library Technology Reports will get you started. Based on surveys of e-book vendors with an established presence in academic, public, and/or K–12 library markets, this report includes Background and business model descriptions for 51 leading e-book vendors Four tables comparing content, technical specifications, functionality, and business models An at-a-glance overview of platforms, including vendor website URLs Bulleted checklists of factors to consider, and questions to ask vendors An examination of the blurring channels of publisher, aggregator, and distributor platforms, with advice to help you avoid content overlap

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platforms Table 4.2.1 Comparative overview of thirty-five e-book platforms—
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E-Librarian Service

User-Friendly Semantic Search in Digital Libraries

This book introduces a new approach to designing E-Librarian Services. With the help of this system, users will be able to retrieve multimedia resources from digital libraries more efficiently than they would by browsing through an index or by using a simple keyword search. E-Librarian Services combine recent advances in multimedia information retrieval with aspects of human-machine interfaces, such as the ability to ask questions in natural language; they simulate a human librarian by finding and delivering the most relevant documents that offer users potential answers to their queries. The premise is that more pertinent results can be retrieved if the search engine understands the meaning of the query; the returned results are therefore logical consequences of an inference rather than of keyword matches. Moreover, E-Librarian Services always provide users with a solution, even in situations where they are unable to offer a comprehensive answer.

The key to understanding the breathtaking development of mankind lies in the
ability to objectify knowledge. Just like human knowledge has undergone
changes, so have the libraries in their role as treasure chambers of said
knowledge.

E-books in Academic Libraries

Written from the perspective of a librarian, this book offers a comprehensive overview of the impact of e-books on academic libraries. The author discusses advantages to both researchers and librarians and provides current examples of innovative uses of e-books in academic contexts. This book reviews the current situation in e-book publishing, and describes problems in managing e-books in libraries caused by the variety of purchase models and varying formats available, and the lack of standardisation. It discusses solutions for providing access and maintaining bibliographic control, looks at various initiatives to publicise and promote e-books, and compares e-book usage surveys to track changes in user preferences and behaviour over the last decade. E-books have already had a huge impact on academic libraries, and major advances in technology will bring further changes. There is a need for collaboration between libraries and publishers. The book concludes with reflections on the future of e-books in academic libraries. Describes how e-books have changed library services and how they have enabled academic libraries to align with the e-learning initiatives of their universities Discusses problems with e-book collection development and management and lists examples of solutions Examines trends in user behaviour and acceptance of e-books

It was in 2004 when I was doing research on the use of e-books at the University
of Auckland Library. My son was already a few months into his first year at the
university, and out of curiosity I asked him and his freshmen friends what they
knew ...