John Gerring is Professor of Government at the University of Texas, Austin. He is the author of several books, including Social Science Methodology: A Unified Framework, 2nd edition (Cambridge, 2012) and Case Study Research: Principles and Practices, 2nd edition (Cambridge, forthcoming, 2017). He is also co-editor of the Cambridge series, Strategies for Social Inquiry.
Inhaltsangabe
Preface Part I. Building Blocks: 1. A unified framework 2. Arguments 3. Concepts and measures 4. Analyses Part II. Causality: 5. Causal frameworks 6. Causal hypotheses and analyses 7. Experimental designs 8. Large-N observational designs 9. Case study designs 10. Diverse tools of causal inference Part III. Process and Presentation: 11. Reading and reviewing 12. Brainstorming 13. Data gathering 14. Writing 15. Speaking 16. Ethics Part IV. Statistics: 17. Data management 18. Univariate statistics 19. Probability distributions 20. Statistical inference 21. Bivariate statistics 22. Regression 23. Causal inference 24. Appendix References Index.
Preface; Part I. Building Blocks: 1. A unified framework; 2. Arguments; 3. Concepts and measures; 4. Analyses; Part II. Causality: 5. Causal frameworks; 6. Causal hypotheses and analyses; 7. Experimental designs; 8. Large-N observational designs; 9. Case study designs; 10. Diverse tools of causal inference; Part III. Process and Presentation: 11. Reading and reviewing; 12. Brainstorming; 13. Data gathering; 14. Writing; 15. Speaking; 16. Ethics; Part IV. Statistics: 17. Data management; 18. Univariate statistics; 19. Probability distributions; 20. Statistical inference; 21. Bivariate statistics; 22. Regression; 23. Causal inference; 24. Appendix; References; Index.
Preface Part I. Building Blocks: 1. A unified framework 2. Arguments 3. Concepts and measures 4. Analyses Part II. Causality: 5. Causal frameworks 6. Causal hypotheses and analyses 7. Experimental designs 8. Large-N observational designs 9. Case study designs 10. Diverse tools of causal inference Part III. Process and Presentation: 11. Reading and reviewing 12. Brainstorming 13. Data gathering 14. Writing 15. Speaking 16. Ethics Part IV. Statistics: 17. Data management 18. Univariate statistics 19. Probability distributions 20. Statistical inference 21. Bivariate statistics 22. Regression 23. Causal inference 24. Appendix References Index.
Preface; Part I. Building Blocks: 1. A unified framework; 2. Arguments; 3. Concepts and measures; 4. Analyses; Part II. Causality: 5. Causal frameworks; 6. Causal hypotheses and analyses; 7. Experimental designs; 8. Large-N observational designs; 9. Case study designs; 10. Diverse tools of causal inference; Part III. Process and Presentation: 11. Reading and reviewing; 12. Brainstorming; 13. Data gathering; 14. Writing; 15. Speaking; 16. Ethics; Part IV. Statistics: 17. Data management; 18. Univariate statistics; 19. Probability distributions; 20. Statistical inference; 21. Bivariate statistics; 22. Regression; 23. Causal inference; 24. Appendix; References; Index.
Rezensionen
'An excellent guide to the main approaches and issues of social science research design. It offers a clear guide through the thicket of terms and concepts with effective use of examples. A valuable work for students of any level.' Kenneth Benoit, London School of Economics and Political Science
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