Skip to content

Your Cart


You have 0 items in your cart.

Register Sign in Wishlist

Statistics Using IBM SPSS
An Integrative Approach

3rd Edition

$89.99 (X)

  • Date Published: March 2016
  • availability: In stock
  • format: Paperback
  • isbn: 9781107461222

$89.99 (X)

Add to cart Add to wishlist

Other available formats:

Looking for an examination copy?

If you are interested in the title for your course we can consider offering an examination copy. To register your interest please contact providing details of the course you are teaching.

Product filter button
About the Authors
  • Written in a clear and lively tone, Statistics Using IBM SPSS provides a data-centric approach to statistics with integrated SPSS (version 22) commands, ensuring that students gain both a deep conceptual understanding of statistics and practical facility with the leading statistical software package. With 100 worked examples, the textbook guides students through statistical practice using real data and avoids complicated mathematics. Numerous end-of-chapter exercises allow students to apply and test their understanding of chapter topics, with detailed answers available online. The third edition has been updated throughout and includes a new chapter on research design, new topics (including weighted mean, resampling with the bootstrap, the role of the syntax file in workflow management, and regression to the mean), and new examples and exercises. Student learning is supported by a rich suite of online resources, including answers to end-of-chapter exercises, real data sets, PowerPoint slides, and a test bank.

    • Avoids calculus and linear algebra and instead grounds concepts in real data examples to ensure simple and clear explanation
    • Written by highly experienced teachers
    • Chapter examples and exercises are based on real data, which enables students to understand what it truly means to be a data analyst
    Read more

    Reviews & endorsements

    "This is the third edition of a very popular and useful text. The focus is on using SPSS in the research process. The chapters have illustrative exercises and meaningful real data problem sets that not only make it convenient for teaching but also provide realistic experiences for students that will stay with them for many years. The book does a very good job presenting the challenge of data analysis and the experience of being a serious researcher looking at important problems; it illustrates how a variety of quantitative methods can be applied to real data to tease out and evaluate the inferences suggested by that data. I strongly recommend this book to instructors of a one- or two-semester introductory statistics course."
    Robert W. Lissitz, University of Maryland

    "This text by Weinberg and Abramowitz is an excellent choice for an undergraduate or introductory graduate course for non-majors. Stressing concepts over computation, it focuses on essential material for students in education and the social sciences. The book reads easily, like a set of well-constructed lectures that begin with simple fundamental concepts. Yet modern and relatively advanced topics, such as uses of the bootstrap, are also treated. Rather than focusing on hand calculations, the book integrates instruction on using SPSS directly into the text. This enables student exploration of actual research data sets, beginning in the first chapters."
    James E. Corter, Columbia University

    "This book covers a broad range of topics in introductory statistics, employing a hands-on, problem-based approach. The latest edition expands an already long list of topics to include bootstrap techniques and experimental design considerations. By providing detailed, worked-through examples based on real data and substantive research questions, the authors guide the student through the data analysis process from beginning to end. However, this is no 'cookbook' - each section builds on the concepts and techniques established previously, and the reader is encouraged to explore the nuances involved in effective statistical analysis. What is particularly unique about the authors' exposition is that it can be read on many levels; this book will serve well as a course textbook or as a handy reference for the applied researcher."
    Marc A. Scott, New York University

    See more reviews

    Customer reviews

    Not yet reviewed

    Be the first to review

    Review was not posted due to profanity


    , create a review

    (If you're not , sign out)

    Please enter the right captcha value
    Please enter a star rating.
    Your review must be a minimum of 12 words.

    How do you rate this item?


    Product details

    • Edition: 3rd Edition
    • Date Published: March 2016
    • format: Paperback
    • isbn: 9781107461222
    • dimensions: 255 x 205 x 30 mm
    • weight: 1.24kg
    • contains: 196 b/w illus. 100 tables 417 exercises
    • availability: In stock
  • Table of Contents

    1. Introduction
    2. Examining univariate distributions
    3. Measures of location, spread, and skewness
    4. Re-expressing variables
    5. Exploring relationships between two variables
    6. Simple linear regression
    7. Probability fundamentals
    8. Theoretical probability models
    9. The role of sampling in inferential statistics
    10. Inferences involving the mean of a single population when σ is known
    11. Inferences involving the mean when σ is not known: one- and two-sample designs
    12. Research design: introduction and overview
    13. One-way analysis of variance
    14. Two-way analysis of variance
    15. Correlation and simple regression as inferential techniques
    16. An introduction to multiple regression
    17. Nonparametric methods.

  • Resources for

    Statistics Using IBM SPSS

    Sharon Lawner Weinberg, Sarah Knapp Abramowitz

    Welcome to the resources site

    Here you will find free-of-charge online materials to accompany this book. The range of materials we provide across our academic and higher education titles are an integral part of the book package whether you are a student, instructor, researcher or professional.

    Find resources associated with this title

    Type Name Unlocked * Format Size

    Showing of

    Back to top

    *This title has one or more locked files and access is given only to instructors adopting the textbook for their class. We need to enforce this strictly so that solutions are not made available to students. To gain access to locked resources you either need first to sign in or register for an account.

    These resources are provided free of charge by Cambridge University Press with permission of the author of the corresponding work, but are subject to copyright. You are permitted to view, print and download these resources for your own personal use only, provided any copyright lines on the resources are not removed or altered in any way. Any other use, including but not limited to distribution of the resources in modified form, or via electronic or other media, is strictly prohibited unless you have permission from the author of the corresponding work and provided you give appropriate acknowledgement of the source.

    If you are having problems accessing these resources please email

  • Authors

    Sharon Lawner Weinberg, New York University
    Sharon Lawner Weinberg is Professor of Applied Statistics and Psychology and former Vice Provost for Faculty Affairs at New York University. She has authored numerous articles, books, and reports on statistical methods, statistical education, and evaluation, as well as in applied disciplines, such as psychology, education, and health. She is the recipient of several major grants, including a recent grant from the Sloan Foundation to support her current work with NYU colleagues to evaluate the New York City Gifted and Talented programs.

    Sarah Knapp Abramowitz, Drew University, New Jersey
    Sarah Knapp Abramowitz is Professor of Mathematics and Computer Science at Drew University. She received her PhD in Mathematics Education from New York University and is an Associate Editor of the Journal of Statistics Education.

Sign In

Please sign in to access your account


Not already registered? Create an account now. ×

Sorry, this resource is locked

Please register or sign in to request access. If you are having problems accessing these resources please email

Register Sign in
Please note that this file is password protected. You will be asked to input your password on the next screen.

» Proceed

You are now leaving the Cambridge University Press website. Your eBook purchase and download will be completed by our partner Please see the permission section of the catalogue page for details of the print & copy limits on our eBooks.

Continue ×

Continue ×

Continue ×

Find content that relates to you

Are you sure you want to delete your account?

This cannot be undone.


Thank you for your feedback which will help us improve our service.

If you requested a response, we will make sure to get back to you shortly.

Please fill in the required fields in your feedback submission.