Using SPSS® for Research Methods and Social Statistics
Eighth Edition
William E. Wagner-Huang
- California State University, Dominguez Hills, USA
If you’re in the Americas, please visit our Sage College Publishing website to purchase or sample this book:
Go to College Publishing WebsiteDescription
This is the perfect companion for students who are learning to use the SPSS software to interpret and manage data. Students will appreciate author William E. Wagner-Huang’s step-by-step explanations of SPSS operating procedures and introductory statistical operations. The Eighth Edition uses version 29 of the software and incorporates results from the 2022 General Social Survey (GSS) as a dataset used in examples throughout the book. In response to user feedback, the author has expanded the sections on ANOVA and chi-square. The GSS datasets and codebooks for use with the text are available on an accompanying website.
Contents
Preface
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
- Direct Options for Graphs (Boxplot Example without Chartbuilder)
- Scatterplot
- Direct Graphing Option for Scatterplot
- Histogram
- Multivariate Histogram
- Horizontal Histogram
- Direct Graphing Option for Histogram
- BAR GRAPH
- Multivariate Bar Graph
- Direct Graphing Option for Histogram
- PIE CHART
- Direct Graphing Option for Histogram
- 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
- Two-Way ANOVA
- 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
About the Author
References
References
Additional materials
Description
This is the perfect companion for students who are learning to use the SPSS software to interpret and manage data. Students will appreciate author William E. Wagner-Huang’s step-by-step explanations of SPSS operating procedures and introductory statistical operations. The Eighth Edition uses version 29 of the software and incorporates results from the 2022 General Social Survey (GSS) as a dataset used in examples throughout the book. In response to user feedback, the author has expanded the sections on ANOVA and chi-square. The GSS datasets and codebooks for use with the text are available on an accompanying website.
Contents
Preface
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
- Direct Options for Graphs (Boxplot Example without Chartbuilder)
- Scatterplot
- Direct Graphing Option for Scatterplot
- Histogram
- Multivariate Histogram
- Horizontal Histogram
- Direct Graphing Option for Histogram
- BAR GRAPH
- Multivariate Bar Graph
- Direct Graphing Option for Histogram
- PIE CHART
- Direct Graphing Option for Histogram
- 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
- Two-Way ANOVA
- 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
About the Author
References
References
Additional materials
January 2025 | 224 pages | Sage US
| Format | Published Date | ISBN | Price |
|---|
This is the perfect companion for students who are learning to use the SPSS software to interpret and manage data. Students will appreciate author William E. Wagner-Huang’s step-by-step explanations of SPSS operating procedures and introductory statistical operations. The Eighth Edition uses version 29 of the software and incorporates results from the 2022 General Social Survey (GSS) as a dataset used in examples throughout the book. In response to user feedback, the author has expanded the sections on ANOVA and chi-square. The GSS datasets and codebooks for use with the text are available on an accompanying website.
Table Of Contents:
- 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
- Direct Options for Graphs (Boxplot Example without Chartbuilder)
- Scatterplot
- Direct Graphing Option for Scatterplot
- Histogram
- Multivariate Histogram
- Horizontal Histogram
- Direct Graphing Option for Histogram
- BAR GRAPH
- Multivariate Bar Graph
- Direct Graphing Option for Histogram
- PIE CHART
- Direct Graphing Option for Histogram
- 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
- Two-Way ANOVA
- 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
- References