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, includes a ‘walk–through’ of statistical concepts, applications, features, and 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.