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Using SPSS for Windows

Data Analysis and Graphics

  • Textbook
  • © 2005

Overview

Authors:
  1. Susan B. Gerber

    1. State University of New York Graduate School of Education, Buffalo, USA

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    You can also search for this author in PubMed   Google Scholar

  2. Kristin Voelkl Finn

    1. Canisius College Graduate Education and Leadership Department, Buffalo, USA

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • All procedures and examples are outlined in a step-by-step format, and results produced by SPSS are shown and discussed in each application
  • Users conduct reasonably sophisticated statistical analyses using SPSS while gaining insight into the nature and purpose of statistical investigation
  • Topics cover a wide range-from descriptive statistics through multiple regression, including probability theory
  • Additional data sets to be analyzed are available via the www
  • Includes supplementary material: sn.pub/extras

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Table of contents (15 chapters)

  1. Front Matter

    Pages I-XII
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  2. Introduction

    1. The Nature of SPSS

      Pages 3-26

  4. Probability

    1. Basic Ideas of Probability

      Pages 91-94

    2. Probability Distributions

      Pages 95-98

    3. Sampling Distributions

      Pages 99-105

  6. Back Matter

    Pages 195-227
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Keywords

About this book

This book is a self-teaching guide to the SPSS for Windows computer application. It is designed to be used with SPSS version 13.0, although many of the procedures are also applicable to earlier versions of SPSS. The step-by-step format of this manual “walks” the reader through numerous examples, illustrating how to use the application. The results produced in SPSS are shown and discussed in most examples. Each chapter demonstrates statistical procedures and provides exercises to reinforce the text examples. This book may be used in two ways – as a stand-alone manual for a student learning to use SPSS for Windows or in a course together with a basic statistics text. As a stand-alone manual, it is assumed that the reader is familiar with the basic ideas of quantitative data and statistical analysis. Thus, statistical terminology is used without providing extensive definitions. Most of the applications in this book are self-explanatory, although the reader will need to refer to a text for extensive discussion of statistical theory and procedures.

Reviews

From a review:

THE AMERICAN STATISTICIAN

"The authors write well, and most concepts are explained clearly.

From the reviews of the second edition:

"It is a clearly written guide, suitable for undergraduates or maybe Masters level students with no prior experience of statistical analysis. The basic, important and necessary areas, such as probability, sampling, regression and analysis of variance are included, with enough detail (and reproduction of SPSS dialogue boxes and windows for up to version 13) to make the whole thing easy to follow." (Amanda Root, Journal of the Royal Statistical Society, Vol. 169 (4), 2006)

Authors and Affiliations

  • State University of New York Graduate School of Education, Buffalo, USA

    Susan B. Gerber

  • Canisius College Graduate Education and Leadership Department, Buffalo, USA

    Kristin Voelkl Finn

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