Part I: Introduction to Grounded Theory of Anselm Strauss Chapter 1: Inspiration and Background Chapter 2: Theoretical Foundations Chapter 3: Practical Considerations for Getting Started Chapter 4: Prelude to Analysis Chapter 5: Strategies for Qualitative Data Analysis Chapter 6: Memos and Diagrams Chapter 7: Theoretical Sampling Chapter 8: Context Chapter 9: Process Chapter 10: Techniques for Achieving Theoretical Integration Chapter 11: The Use of Computer Programs in Qualitative Data Analysis Part II: Research Demonstration Project Chapter 12 Open Coding: Identifying Concepts Chapter 13: Developing Concepts in Terms of Their Properties and Dimensions Chapter 14: Analyzing Data for Context Chapter 15: Bringing Process Into the Analysis Chapter 16: Integrating Categories Part III: Finishing the Research Project Chapter 17: Writing Theses, Monographs, and Dissertations, and Giving Talks About Your Research Chapter 18: Criteria for Evaluation Chapter 19: Student Questions and Answers
Preface Chapter 1: Introduction Chapter 2: Practical Considerations Chapter 3: Prelude to Analysis Chapter 4: Strategies for Qualitative Data Analysis Chapter 5: Introduction to Context, Process and Theoretical Integration Chapter 6: Memos and Diagrams Chapter 7: Theoretical Sampling Chapter 8: Analyzing Data for Concepts Chapter 9: Elaborating the Analysis Chapter 10: Analyzing Data for Context Chapter 11: Bringing Process into the Analysis Chapter 12: Integrating Around a Concept Chapter 13: Writing Theses, Monographs, and Giving Talks Chapter 14: Criterion for Evaluation Chapter 15: Student Questions and Answers Index
Part I: Introduction to Grounded Theory of Anselm Strauss Chapter 1: Inspiration and Background Chapter 2: Theoretical Foundations Chapter 3: Practical Considerations for Getting Started Chapter 4: Prelude to Analysis Chapter 5: Strategies for Qualitative Data Analysis Chapter 6: Memos and Diagrams Chapter 7: Theoretical Sampling Chapter 8: Context Chapter 9: Process Chapter 10: Techniques for Achieving Theoretical Integration Chapter 11: The Use of Computer Programs in Qualitative Data Analysis Part II: Research Demonstration Project Chapter 12 Open Coding: Identifying Concepts Chapter 13: Developing Concepts in Terms of Their Properties and Dimensions Chapter 14: Analyzing Data for Context Chapter 15: Bringing Process Into the Analysis Chapter 16: Integrating Categories Part III: Finishing the Research Project Chapter 17: Writing Theses, Monographs, and Dissertations, and Giving Talks About Your Research Chapter 18: Criteria for Evaluation Chapter 19: Student Questions and Answers
Preface Chapter 1: Introduction Chapter 2: Practical Considerations Chapter 3: Prelude to Analysis Chapter 4: Strategies for Qualitative Data Analysis Chapter 5: Introduction to Context, Process and Theoretical Integration Chapter 6: Memos and Diagrams Chapter 7: Theoretical Sampling Chapter 8: Analyzing Data for Concepts Chapter 9: Elaborating the Analysis Chapter 10: Analyzing Data for Context Chapter 11: Bringing Process into the Analysis Chapter 12: Integrating Around a Concept Chapter 13: Writing Theses, Monographs, and Giving Talks Chapter 14: Criterion for Evaluation Chapter 15: Student Questions and Answers Index
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