- Lively introductory textbook that uses 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
- Demonstrates how more than one statistical method can be used to approach a research question
- Enhanced learning features include 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
Visit www.wiley.com/go/dietz for additional student and instructor resources.
List of Tables vii
List of Figures xvii
Preface: A Strategy for Approaching Quantitative Analysis xxv
1 An Introduction to Quantitative Analysis 1
2 Some Basic Concepts 33
3 Displaying Data One Variable at a Time 65
4 Describing Data 115
5 Plotting Relationships and Conditional Distributions 155
6 Causation and Models of Causal Effects 182
7 Probability 218
8 Sampling Distributions and Inference 255
9 Using Sampling Distributions: Confidence Intervals 295
10 Using Sampling Distributions: Hypothesis Tests 319
11 The Subtle Logic of Analysis of Variance 363
12 Goodness of Fit and Models of Frequency Tables 396
13 Bivariate Regression and Correlation 435
14 Basics of Multiple Regression 476
Appendix A: Summary of Variables Used in Examples 513
Appendix B: Mathematics Review 520
Appendix C: Statistical Tables 526
Glossary of Key Terms 534
Notes 546
Index 559
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
– Paul McLaughlin, State University of New York at Geneseo
"The clarity of writing, the plain uncomplicated language, the step-by-step explanations of the statistical procedures covered and the grounding of those applications in real world data, make this an invaluable book for students and instructors that stands out from its competitors."
–Paul Iganski, Lancaster University
Produktdetaljer
Biografisk notat
Thomas Dietz is Professor of Sociology and Director of the Environmental Science and Policy Program at Michigan State University. He has 20 years’ experience teaching introductory social statistics and his books include Essentials of Social Research (with Linda Kalof and Amy Dan, 2008), New Tools for Environmental Protection (edited with Paul C. Stern, 2002), Environmentally Significant Consumption (edited with Paul C. Stern et al., 1997), and Handbook for Environmental Planning (edited with James McEvoy, 1977).Linda Kalof is Professor of Sociology at Michigan State University. With 15 years of experience teaching introductory social statistics and research methods, she has won two university teaching awards and her books include Essentials of Social Research (with Amy Dan and Thomas Dietz, 2008), Looking at Animals in Human History (2007), A Cultural History of Animals (edited with Brigitte Resl, 2007), The Animals Reader (edited with Amy Fitzgerald, 2007), and The Earthscan Reader in Environmental Values (edited with Terre Satterfield, 2005).