With a relaxed and conversational writing style, ongoing examples, and complete exercises, this book shows how quantitative methods can help us to understand social questions and contemporary issues. Its special features include:
- Three strategies to help students master statistics: use of models throughout; repetition with variation to underpin pedagogy; and emphasis on the tools most commonly used in contemporary research
- Accessible and consistent structure to guide students through the text, with ongoing examples running across chapters, showing how more than one statistical method can be used to approach a research question
- For enhanced learning it includes a ‘walk–through’ of statistical concepts, applications, features, advanced topics boxes, and a ‘What Have We Learned’ section at the end of each chapter
- Supported by a website containing instructor materials including chapter–by–chapter PowerPoint slides, answers to exercises, and an instructor guide
This is a lively and very user–friendly book that makes students comfortable with what is usually considered a fearsome task: learning statistics.
List of Figures.
Preface: A Strategy for Approaching Quantitative Analysis.
An Introduction to Quantitative Analysis.
Some Basic Concepts.
Displaying Data One Variable at a Time.
Plotting Relationships and Conditional Distributions.
Causation and Models of Causal Effects.
Sampling Distributions and Inference.
Using Sampling Distributions: Confidence Intervals.
Using Sampling Distributions: Hypothesis Tests.
The Subtle Logic of Analysis of Variance.
Goodness of Fit and Models of Frequency Tables.
Bivariate Regression and Correlation.
Basics of Multiple Regression.
Appendix A Summary of Variables in Examples.
Appendix B Mathematics Review.
Appendix C Statistical Tables.
Glossary of Key Terms.