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Using IBM® SPSS® Statistics for Research Methods and Social Science Statistics

Using IBM® SPSS® Statistics for Research Methods and Social Science Statistics

Seventh Edition

October 2020 | 208 pages | SAGE Publications, Inc
Using IBM® SPSS® Statistics for Research Methods and Social Science Statistics is the perfect companion for students who are learning to use SPSS® software to interpret and manage data within their social statistics and/or research methods courses. Both first-time and more experienced SPSS® users will appreciate author William E. Wagner, III’s step-by-step explanations of SPSS® operating procedures and introductory statistical operations.  

The Seventh Edition reflects SPSS® Version 25.0 and incorporates the latest results from the General Social Survey (GSS) as a secondary data set. Using examples, tables, and actual SPSS® screen captures, it guides users through several different kinds of SPSS® files including data files, output files, and syntax files.
CHAPTER 1 • Overview
What’s the Difference Between SPSS Statistics and PASW Statistics? None.

Statistical Software

About the GSS Data

SPSS/PASW Electronic Files

Opening Existing Data Files

Importing Data From Statistics File Formats Other Than SPSS or PASW

Opening Previously Created Output Files

Saving Files

Creating New SPSS Statistics Data Files

Creating and Editing SPSS Statistics Output Files

Preferences: Getting Started

Measurement of Variables Using SPSS Statistics


CHAPTER 2 • Transforming Variables
Recoding and Computing Variables

Recoding Variables: Dichotomies and Dummy Variables

Recoding Using Two or More Variables to Create a New Variable

Computing Variables

Using the Count Function

Computing an Index Using the Mean

Multiple Response

CHAPTER 3 • Selecting and Sampling Cases
Targeted Selection

Random Selection

Selecting Cases for Inclusion in a New Data Set

CHAPTER 4 • Organization and Presentation of Information
Measures of Central Tendency and Variability

Frequency Distributions

CHAPTER 5 • Charts and Graphs

Legacy Options for Graphs (Boxplot Example)


Legacy Scatterplot


Multivariate Histogram

Horizontal Histogram

Bar Graph

Multivariate Bar Graph

Pie Chart

Additional Graphic Capabilities in SPSS Statistics

CHAPTER 6 • Testing Hypotheses Using Means and Cross-Tabulation
Comparing Means

Comparing Means: Paired-Samples t Test

Comparing Means: Independent-Samples t Test

One-Sample t Test

Chi-Square (?2)

Chi-Square (?2) and Cross-Tabulation

CHAPTER 7 • Cross-Tabulation and Measures of Association for Nominal and Ordinal Variables
Bivariate Analysis

Adding Another Variable or Dimension to the Analysis

Measures of Association for Nominal and Ordinal Variables

Lambda (?)

Gamma (?), Kendall’s Tau-b, and Somers’ d


CHAPTER 8 • Correlation and Regression Analysis
Bivariate Regression


Multiple Regression

CHAPTER 9 • Logistic Regression Analysis
Preparing Variables for Use in Logistic Regression Analysis

Creating a Set of Dummy Variables to Represent a Multicategory Nominal Variable

Logistic Regression Analysis

Logistic Regression Using a Categorical Covariate Without Dummy Variables

Interpreting Odds Ratios

Step Models

CHAPTER 10 • Analysis of Variance

ANOVA in Regression

CHAPTER 11 • Editing Output
Editing Basic Tables

Copying to Microsoft Word

Importing and Preparing Text Files for Analysis by SPSS

Editing Charts and Graphs

CHAPTER 12 • Advanced Applications
Merging Data From Multiple Files

Opening Previously Created Syntax Files

Creating New SPSS Syntax Files

About the Author


Student Study Site

The open-access Student Study Site includes the following:        

  • Datasets: The full 2016 GSS datasets are the ones used in examples throughout the book.         
  • Codebook: The 1972-2016 Cumulative Codebook provides all of the necessary information about the data: variables, sampling methods, etc., so that they may be consumed intelligently by the user.
Key features


  • Reflects SPSS Version 25.0 to keep readers up-to-date on the latest software available.          
  • Uses the 2016 version of the GSS (General Social Survey) as a secondary data set.          
  • Expanded coverage of output interpretation provides readers with ample material on an important topic. 


  • Refers to several kinds of computer files, including data files, output files, and syntax files.        
  • Covers a wide range of data analysis topics helpful for students who are working independently on a research proposal, project, or paper.     
  • Offers brief guidelines and hints for syntax usage.        
  • The open-access Student Study Site includes GSS datasets used in the examples in the book, and a Cumulative Codebook for the data.

The Seventh Edition has been updated to reflect SPSS 25.0 and GSS 2016.

For instructors

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