Guide to writing empirical papers, theses, and dissertations / G. David Garson.
"Bridging the divide between books on thesis/dissertation writing and those on methodology, this unique text treats the quantitative research process - framing analytical questions, developing a comprehensive outline, providing a roadmap for the reader, and accessing indispensable computer and...
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Format: | Book |
Language: | English |
Published: |
New York :
Marcel Dekker,
[2002]
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Table of Contents:
- I. Selecting a topic
- A. Choosing a subject
- 1. Brainstorming
- 2. Framing an analytic question
- B. Forming an outline
- 3. Typical outlines
- 4. Roadmap concept
- II. Reviewing the literature
- A. Tools
- 5. Reference search resources
- 6. Bibliographic software
- B. Writing the review
- 7. Meta-analysis
- 8. Format of your literature review
- III. Developing your model
- A. Specifying your model
- 9. Thinking about models
- 10. Operationalizing variables
- B. Defining the methodology
- 11. Research designs
- 12. Selecting statistical procedures
- IV. Presenting your case
- A. Telling a story
- 13. Writing fundamentals
- 14. Fallacies, reliability, validity, significance, and association
- 15. Datagraphics
- B. Data-gathering
- 16. Research ethics
- 17. Data-gathering strategies
- 18. Data-gathering resources
- V. Coming to a conclusion
- A. Conclusion
- 19. Drawing inferences and making generalizations
- 20. Pointing ahead
- B. Dissertation process
- 21. Thesis or dissertation committee
- 22. Thesis or dissertation defense
- VI. Final topics
- A. Humanities and the natural sciences
- 23. Quantitative research writing in the humanities
- 24. Quantitative research writing in the natural sciences
- B. Funding
- 25. Dissertation grant programs
- Index.