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Innovative Strategies for Mining Dissertations: Recommendations for Research and Theory Development

This paper explores advanced methodologies for mining dissertation data to generate new research ideas and recommendations. It discusses various theories referenced in the CABS framework and proposes strategies for locating relevant theories, tests, and measures. Limitations of current research in the field are also examined. By leveraging digital archives, Google Scholar, and extensive dissertation databases such as ProQuest, this work provides a comprehensive analysis of existing resources and encourages the exploration of gray literature and scientific theses to enhance academic research.

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Innovative Strategies for Mining Dissertations: Recommendations for Research and Theory Development

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  1. Mining Dissertations for Ideas

  2. Recommendations for Further Research

  3. Theories Mentioned in CABS

  4. Looking for Theories

  5. Strategies for Locating Theories

  6. Strategies for Locating Theories

  7. Strategies for Locating Tests and Measures

  8. Limitations of Research

  9. Mining Dissertations for Ideas

  10. Using the Cited by and Reference Links

  11. Searching Digital Archives Using Google Scholar Dissertation in ScientificCommons

  12. “Gray Literature” Article in the Internet Classics Archive Article in journal published by NIH/National Athletic Trainers Association Conference paper published in the Mayo Clinic Proceedings Dissertation in ScienceCommons

  13. Dissertations Sources • ProQuest Dissertations and Theses Database(1.6 million full-text dissertations) • MARPS, Practicums, and Applied Dissertations Database (NSU – Fischler School of Education) • Google Scholar to locate open-access dissertations • Digital archives • WorldCat – manuscripts of dissertations in libraries

  14. Dissertations:Browse by Type of Material

  15. Dissertation Databases

  16. ProQuest Dissertations and Theses

  17. ProQuest Dissertations and Theses

  18. Selecting Dissertation Databases in ProQuest

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