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Kenneth Stehlik-Barry - Data Analysis with IBM SPSS Statistics

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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.

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    Data Analysis with IBM SPSS Statistics Implementing Data Modeling Descriptive - photo 1
    Data Analysis with IBM SPSS Statistics
    Implementing Data Modeling, Descriptive Statistics and ANOVA
    Kenneth Stehlik-Barry
    Anthony J. Babinec
    BIRMINGHAM - MUMBAI Data Analysis with IBM SPSS Statistics Copyright 2017 - photo 2

    BIRMINGHAM - MUMBAI

    Data Analysis with IBM SPSS Statistics

    Copyright 2017 Packt Publishing

    All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

    Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the authors, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book.

    Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

    First published: September 2017

    Production reference: 1190917

    Published by Packt Publishing Ltd.
    Livery Place
    35 Livery Street
    Birmingham
    B3 2PB, UK.

    ISBN 978-1-78728-381-7

    www.packtpub.com

    Credits
    Authors

    Kenneth Stehlik-Barry

    Anthony J. Babinec

    Copy Editor

    Manisha Sinha

    Reviewers

    James Mott

    J ames Sugrue

    Project CoordinatorManthan Patel
    Commissioning EditorAmey VarangaonkarProofreaderSafis Editing
    Acquisition EditorTushar GuptaIndexerTejal Daruwale Soni
    Content Development EditorTejas LimkarGraphicsTania Dutta
    Technical EditorDharmendra YadavProduction CoordinatorDeepika Naik
    About the Authors

    Kenneth Stehlik-Barry, PhD, joined SPSS as Manager of Training in 1980 after using SPSS for his own research for several years. Working with others at SPSS, including Anthony Babinec, he developed a series of courses related to the use of SPSS and taught these courses to numerous SPSS users. He also managed the technical support and statistics groups at SPSS. Along with Norman Nie, the founder of SPSS and Jane Junn, a political scientist, he co-authored Education and Democratic Citizenship. Dr. Stehlik-Barry has used SPSS extensively to analyze data from SPSS and IBM customers to discover valuable patterns that can be used to address pertinent business issues. He received his PhD in Political Science from Northwestern University and currently teaches in the Masters of Science in Predictive Analytics program there.

    Anthony J. Babinec joined SPSS as a statistician in 1978 after assisting Norman Nie, SPSS founder, in a research methods class at the University of Chicago. Anthony developed SPSS courses and trained many SPSS users. He also wrote many examples found in SPSS documentation and worked in technical support. Anthony led a business development effort to find products implementing then-emerging new technologies such as CHAID decision trees and neural networks and helped SPSS customers successfully apply them. Anthony uses SPSS in consulting engagements and teaches IBM customers how to use its advanced features. He received his BA and MA in sociology with a specialization in advanced statistics from the University of Chicago and teaches classes at the Institute for Statistics Education. He is on the Board of Directors of the Chicago Chapter of the American Statistical Association, where he has served in different positions including President.

    Acknowledgement

    A book such as this is always a collaboration that extends beyond the authors. We owe a depth of gratitude to many and we would like to begin by thanking our family members, Janis, Cassiopeia, Leila, and Thea Stehlik-Barry, Tony's wife Terri M. Long, and their children Gina and Anthony. Authoring a book inevitably takes time away from family and the patience of our spouses and children is much appreciated. We would also like to thank our late parents, Leo and Patricia Barry and Anthony and Dorothy Babinec. They fostered our love of learning and supported our scholastic pursuits during our youth.

    We would also like to acknowledge the late Norman Nie, a founder of SPSS and highly regarded social scientist. Norman was an empirical researcher and SPSS was his tool as well as his creation. His use of SPSS for his own analysis led to many valuable additions to the software. Ken coauthored Education and Democratic Citizenship with Norman and Jane Junn. Tony was a teaching assistant and research assistant with Norman at the University of Chicago. Norman was a colleague, mentor, and a valued friend and is greatly missed.

    The team at Packt was enormously helpful in bringing this book to fruition. Tejas Limkar, our most frequent contact person, brought enthusiasm and encouragement to the project and kept things on track. Tushar Gupta was instrumental in launching the book initially, and Dharmendra Yadav drove the final push to get it completed. We also thank those at Packt that worked behind the scenes to deal with the graphics, editing, proofing and productions tasks.

    Finally, we would like thank Colin Shearer, our IBM/SPSS colleague who put us in touch with Tushar at Packt initially and our two reviewers, James Mott and James Sugrue. They are long term colleagues of the authors and have a very deep knowledge of SPSS Statistics. Their feedback helped to make this a better book. We also thank our many colleagues at SPSS Inc., who collectively over the years built SPSS Statistics into the great product it has become.

    Kenneth Stehlik-Barry

    Anthony J. Babinec

    About the Reviewers

    James Mott, Ph.D, is a senior education consultant with extensive experience in teaching statistical analysis, modeling, Data Mining and Predictive Analytics. He has over 30 years of experience using SPSS products in his own research including IBM SPSS Statistics, IBM SPSS Modeler, and IBM SPSS Amos. He has also been actively teaching these products to IBM/SPSS customers for over 30 years. In addition, he is an experienced historian with expertise in the research and teaching of 20th Century United States Political history and
    Quantitative Methods.

    Specialties: Data Mining, Quantitative Methods, Statistical Analysis, Teaching and
    Consulting.

    James Sugrue has been selling and supporting SPSS Statistics since 1982. He is currently the president of Channel Group Inc. Channel Group Inc. began in 1996 as the holding company for the SPSS Inc. operations in Argentina, Chile, Paraguay, Uruguay, Bolivia, and Mexico. In 1998, they acquired the Quantime Inc. (Quantum, Quanvert, and so on) operations in Latin America. They later became the regional overlay team for the SPSS Market Research product line (Dimensions, Data Collection) for all of Latin America and the Caribbean.

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