Statistics for Social Data Analysis

About this book

The fourth edition of Statistics for Social Data Analysis continues to show students how to apply statistical methods to answer research questions in various fields. Throughout the text, the authors underscore the importance of formulating substantive hypotheses before attempting to analyze quantitative data. An important aspect of this text is its realistic, hands-on approach. Actual datasets are used in most examples, helping students understand and appreciate what goes into the research process. Statistics for Social Data Analysis focuses on the continuous-discrete distinction in considering the level at which a variable is measured. Rather than dwelling on the four conventional levels-of-measurement distinctions, the authors discuss statistics for analyzing continuous and discrete variables separately and in combination.

Contents

Part One: BASIC CONCEPTS AND MEASURES
1. Statistics in the Research Process
2. Describing Variables

Part Two: MAKING STATISTICAL INFERENCES
3. Inferences About Means

Part Three: ANALYZING BIVARIATE RELATIONSHIPS
4. Analysis of Variance
5. Analyzing Categoric Data
6. Bivariate Regression and Correlation

Part Four: MULTIVARIATE MODELS
7. The Logic of Multivariate Contingency Analysis
8. Multiple Regression Analysis
9. Nonlinear and Logistic Regression

Part Five: ADVANCED TOPICS
10. Log-Linear Analysis
11. Causal Models and Path Analysis
12. Structural Equation Models

Appendices
List of Mathematical and Statistical Symbols
Answers to Problems

Customer Reviews