Data Analysis with SPSS / Edition 3

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Data Analysis with SPSS

Third Edition

By: Stephen A. Sweet (Cornell University)

Karen Grace-Martin

Basic Approach:

Data Analysis with SPSS is designed to teach students how to explore data in a systematic manner using the most popular professional social statistics program on the market today.

New to This Edition:

  • Updated for use with SPSS Version 15.
  • Most current data available on attitudes and behaviors from the 2004 General Social Surveys.
  • Graphing techniques are now integrated through the introduction of numerical summary statistics and discussions of univariate, bivariate, and multivariate methods.
  • Two new chapters on bivariate analysis techniques, such as ANOVA and T-tests, are especially useful for students in psychology or education departments.
  • Includes expanded and refined discussion of logistic regression (including probability and odds) and explanations of how statistics is valuable in understanding social behavior.
  • Uses the most recent data drawn from the 2006 State Rankings (Morgan & Quitno) and the 2004 General Social Surveys.
  • Includes discussion of constructing new variable construction and important concepts of reliability.
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Product Details

  • ISBN-13: 9780205483877
  • Publisher: Allyn & Bacon, Inc.
  • Publication date: 1/10/2008
  • Edition description: REV
  • Edition number: 3
  • Pages: 224
  • Product dimensions: 8.50 (w) x 10.82 (h) x 0.61 (d)

Meet the Author

Stephen Sweet is an assistant professor of sociology at Ithaca College and was formerly the associate director of the Cornell Work and Family Careers Institute. His books include Changing Contours of Work (2008), The Work and Family Handbook: Interdisciplinary Perspectives, Methods and Approaches (2005), Teaching Work and Family: Strategies, Activities, and Syllabi (2006), College and Society: An Introduction to the Sociological Imagination (2001), and Data Analysis with SPSS: A First Course in Applied Statistics (2008, 2003, 1998).

His studies on work, family, community, and inequality appeared in a variety of publications, including Generations, Research in the Sociology of Work, Sex Roles, Family Relations, New Directions in Life Course Research, Journal of Vocational Behavior, Journal of Marriage and the Family, Innovative Higher Education, Journal of College Student Development, and Community, Work, and Family, Popular Music and Society, International Journal of Mass Emergencies and Disasters. His articles on teaching and curriculum development have been published in Teaching Sociology, Critical Pedagogy in the Classroom, and Excellent Teaching in the Excellent University.

In addition to his research and teaching responsibilities, Stephen Sweet currently serves as the Teaching Resources Specialist for the Sloan Work and Family Research Network, co-edits the Work-Family Encyclopedia, and manages the Sloan Early Career Scholars Program.

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Table of Contents

Brief Table of Contents:
Chapter 1: Key Concepts in Social Science Research Chapter 2: Getting Started: Accessing, Examining, and Saving Data Chapter 3: Univariate Analysis: Descriptive Statistics Chapter 4: Constructing Variables Chapter 5: Assessing Association through Bivariate Analysis Chapter 6: Comparing Groups through Bivariate Analysis Chapter 7: Multivariate Analysis with Linear Regression Chapter 8 Multivariate Analysis with Logistic Regression Chapter 9: Writing a Research Report Chapter 10: Research Projects

Comprehensive Table of Contents:
*Each chapter begins with “Overview,” and concludes with “Summary,” “Key Terms", and “Exercises.”

Chapter1: Key Concepts in Social Science Research

Why Do We Need Statistics

Framing Topics Into Research Questions

Theory and Hypothesis

Population and Samples

Relationships and Causality


Chapter 2: Getting Started: Accessing, Examining, and Saving Data

Initial Settings

The Layout of SPSS

Types of Variables

Defining and Saving a New Data Set

Managing Data Sets: Dropping and Adding Variables

Merging and Importing Files

Loading and Examining an Existing File

Chapter 3: Univariate Analysis: Descriptive Statistics

Why Do Researchers Perform Univariate Analysis?

Exploring Distributions of Scale Variables

Exploring Distributions of Categorical Variables

Chapter 4: Constructing Variables

Why Construct New Variables?

Recoding Existing Variables

Computing New Variables

Recording Computations Using Syntax

Chapter 5: Assessing Association through Bivariate Analysis

Why Do We Need Significance Tests?

Cross Tabulations

Bar Charts


Scatter Plots

Chapter 6: Comparing Groups through Bivariate Analysis

One-Way Analysis of Variance

Post-hoc Tests

Assumptions of ANOVA

Graphing the Results of ANOVA

T tests

Chapter 7: Multivariate Analysis with Linear Regression

The Advantages of Multivariate Analysis

Linear Regression: A Bivariate Example

Multiple Linear Regression

Other Concerns In Applying Linear Regression

Assumptions of Regression

Dummy Variables



Chapter 8: Multivariate Analysis with Logistic Regression

What Is Logistic Regression?

When Can I Do a Logistic Regression?

Understanding the Relationships through Probabilities

Logistic Regression: A Bivariate Example

Multivariate Logistic Regression: An Example

Interpreting Logistic Regression Output

Using Multivariate Logistic Regression Coefficients to Make Predictions

Using Multivariate Coefficients to Graph a Logistic Regression Line

Chapter 9: Writing a Research Report


Writing Style and Audience

The Structure of a Report

References and Further Reading

Chapter 10: Research Projects

Potential Research Projects

Research Project 1: Racism

Research Project 2: Suicide

Research Project 3: Criminality

Research Project 4: Welfare

Research Project 5: Sexual Behavior

Research Project 6: Education

Research Project 7: Health

Research Project 8: Happiness

Research Project 9: Your Topic

Appendix 1: STATES.SAV Descriptives

Appendix 2: GSS98.SAV File Information

Appendix 3: Variable Label Abbreviations



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