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Using SPSS for Windows

Data Analysis and Graphics

  • Textbook
  • © 1999

Overview

Authors:
  1. Kristin E. Voelkl

    1. Research Institute on Addictions, Buffalo, USA

    View author publications

    You can also search for this author in PubMed   Google Scholar

  2. Susan B. Gerber

    1. SUNY at Buffalo, 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
  • Request lecturer material: sn.pub/lecturer-material

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Table of contents (16 chapters)

  1. Front Matter

    Pages i-xvi
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  2. Introduction

    1. Front Matter

      Pages 1-1
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    2. The Nature of SPSS

      • Kristin E. Voelkl, Susan B. Gerber
      Pages 3-24

  3. Descriptive Statistics

    1. Front Matter

      Pages 25-25
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    2. Organization of Data

      • Kristin E. Voelkl, Susan B. Gerber
      Pages 27-38

    3. Measures of Location

      • Kristin E. Voelkl, Susan B. Gerber
      Pages 39-49

    4. Measures of Variability

      • Kristin E. Voelkl, Susan B. Gerber
      Pages 51-58

    5. Summarizing Multivariate Data: Association between Numerical Variables

      • Kristin E. Voelkl, Susan B. Gerber
      Pages 59-72

    6. Summarizing Multivariate Data: Association between Categorical Variables

      • Kristin E. Voelkl, Susan B. Gerber
      Pages 73-86

  4. Probability

    1. Front Matter

      Pages 87-87
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    2. Basic Ideas of Probability

      • Kristin E. Voelkl, Susan B. Gerber
      Pages 89-92

    3. Probability Distributions

      • Kristin E. Voelkl, Susan B. Gerber
      Pages 93-95

    4. Sampling Distributions

      • Kristin E. Voelkl, Susan B. Gerber
      Pages 97-104

  5. Statistical Inference

    1. Front Matter

      Pages 105-105
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    2. Using a Sample to Estimate Characteristics of One Population

      • Kristin E. Voelkl, Susan B. Gerber
      Pages 107-117

    3. Answering Questions about Population Characteristics

      • Kristin E. Voelkl, Susan B. Gerber
      Pages 119-136

    4. Differences between Two Populations

      • Kristin E. Voelkl, Susan B. Gerber
      Pages 137-148

    5. Variability in One Population and in Two Populations

      • Kristin E. Voelkl, Susan B. Gerber
      Pages 149-153

  6. Statistical Methods for Other Problems

    1. Front Matter

      Pages 155-155
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    2. Inference on Categorical Data

      • Kristin E. Voelkl, Susan B. Gerber
      Pages 157-170
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Keywords

About this book

This book is a self-teaching guide to the SPSS for Windows computer package. It is designed to be used with SPSS version 8.0 and beyond, although many of the procedures are also applicable to earlier versions of SPSS. This guide is ex­ tremely easy to follow since all procedures are outlined in a straightforward, step-by-step format. Because of its self-instructional nature, the beginning stu­ dent can learn to analyze statistical data with SPSS without outside assistance. The reader is "walked through" numerous examples that illustrate how to use the SPSS package. The results produced by SPSS are shown and discussed in each application. Each chapter demonstrates statistical procedures and provides exer­ cises that reinforce the text examples and can be performed for further practice. Chapter 1 of this guide describes how to start the SPSS program and how to open data files. Chapters 2 through 16 give descriptions of statistical procedures which assume that a data file has been opened. This manual describes basic de­ scriptive statistics through multiple regression analysis, with three chapters (7-9) that discuss probability theory. Simple definitions of statistical concepts are pro­ vided for each procedure.

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

  • Research Institute on Addictions, Buffalo, USA

    Kristin E. Voelkl

  • SUNY at Buffalo, Buffalo, USA

    Susan B. Gerber

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