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Reliable and student-friendly, Using IBM® SPSS® Statistics for Research Methods and Social Science Statistics by William E. Wagner, III is known for its effectiveness in helping readers learn to use SPSS software for simple data management. Now reflecting SPSS Version 23.0, the Sixth Edition includes updated examples, screenshots, and tables based on current GSS (General Social Survey) data. This manual is an excellent companion to any undergraduate social statistics and research methods text and is ideal as a stand-alone guide for those learning to use SPSS software for the first time. 
 
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
Boxplot  
Legacy Options for Graphs (Boxplot Example)  
Scatterplot  
Legacy Scatterplot  
Histogram  
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  
Chi-Square 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  
Correlation  
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
One-Way ANOVA  
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  

Supplements

Student Study Site
The open-access Student Study Site includes the following: 
  • Datasets: The full 2014 data file represents the data that are used in examples throughout the book.
  • Codebook: The 1972-2014 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

NEW TO THIS EDITION:

  • Reflects SPSS Version 23.0 to keep readers up to date on the latest software available.
  • Uses the latest 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.

KEY FEATURES:

  • 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.
  • Includes an open-access Student Study Site that features such valuable resources as datasets, codebooks, and links to additional data sources.

Sample Materials & Chapters

Chapter 8


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