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
Data
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
Correlations
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
Outliers
Causality
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
Overview
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
Permissions
Index
