Significantly revised, the Third Edition of this bestseller takes the form of an informal dialogue, akin to students and teachers working together in a classroom. It shows the evolution of grounded theory method over time and the influence of constructionists and post-modern trends upon the author without losing its foundations in the grounding of data and the building theory. The Third Edition includes real data to practise with qualitative software, such as MAXQDA as well as student exercises. If you wish to find out more about working on the data presented in the book and to do the exercises using MAXQDA, please follow this link to the…mehr
Significantly revised, the Third Edition of this bestseller takes the form of an informal dialogue, akin to students and teachers working together in a classroom. It shows the evolution of grounded theory method over time and the influence of constructionists and post-modern trends upon the author without losing its foundations in the grounding of data and the building theory. The Third Edition includes real data to practise with qualitative software, such as MAXQDA as well as student exercises. If you wish to find out more about working on the data presented in the book and to do the exercises using MAXQDA, please follow this link to theHinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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
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
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"The subject of the book is timely, important, and relevant. The content is laid out in a logical and organized manner and written in a style that is easy to understand." Mahesh S. Raisinghani, Texas Woman's University
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