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

Seventh Edition
May 2019 | 208 pages | SAGE Publications, Inc
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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.
 
Preface
 
Acknowledgments
 
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

 
References

 
 
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 (?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

 
References

 
 
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

 
 
About the Author

Supplements

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

NEW TO THIS EDITION: 

  • 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. 

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.        
  • 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.

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