COMMENTS

  1. Dissertations

    Over the last 80 years, ProQuest has built the world's most comprehensive and renowned dissertations program. ProQuest Dissertations & Theses Global (PQDT Global), continues to grow its repository of 5 million graduate works each year, thanks to the continued contribution from the world's universities, creating an ever-growing resource of emerging research to fuel innovation and new insights.

  2. Analysing and Interpreting Data in Your Dissertation: Making Sense of

    Data analysis and interpretation are critical stages in your dissertation that transform raw data into meaningful insights, directly impacting the quality and credibility of your research. This guide has provided a comprehensive overview of the steps and techniques necessary for effectively analysing and interpreting your data.

  3. 11 Tips For Writing a Dissertation Data Analysis

    And place questionnaires, copies of focus groups and interviews, and data sheets in the appendix. On the other hand, one must put the statistical analysis and sayings quoted by interviewees within the dissertation. 8. Thoroughness of Data. It is a common misconception that the data presented is self-explanatory.

  4. ProQuest Dissertations & Theses Global

    The ProQuest Dissertations & Theses Global (PQDT) ™ database is the world's most comprehensive curated collection of multi-disciplinary dissertations and theses from around the world, offering over 5 million citations and 3 million full-text works from thousands of universities. Within dissertations and theses is a wealth of scholarship, yet ...

  5. EBSCO Open Dissertations

    EBSCO Open Dissertations makes electronic theses and dissertations (ETDs) more accessible to researchers worldwide. The free portal is designed to benefit universities and their students and make ETDs more discoverable. Content Includes: 1,500,000 electronic theses and dissertations. 320 worldwide universities that have loaded their ...

  6. A Step-by-Step Guide to Dissertation Data Analysis

    Types of Data Analysis for Dissertation. The various types of data Analysis in a Dissertation are as follows; 1. Qualitative Data Analysis. Qualitative data analysis is a type of data analysis that involves analyzing data that cannot be measured numerically. This data type includes interviews, focus groups, and open-ended surveys.

  7. Dissertation Results/Findings Chapter (Quantitative)

    The results chapter (also referred to as the findings or analysis chapter) is one of the most important chapters of your dissertation or thesis because it shows the reader what you've found in terms of the quantitative data you've collected. It presents the data using a clear text narrative, supported by tables, graphs and charts.

  8. Dissertation Data Analysis: A Quick Help With 8 Steps

    The data analysis chapter is a crucial section of a research dissertation that involves the examination, interpretation, and synthesis of collected data. In this chapter, researchers employ statistical techniques, qualitative methods, or a combination of both to make sense of the data gathered during the research process.

  9. Raw Data to Excellence: Master Dissertation Analysis

    The first step in dissertation data analysis is to carefully prepare and clean the collected data. This may involve removing any irrelevant or incomplete information, addressing missing data, and ensuring data integrity. Once the data is ready, various statistical and analytical techniques can be applied to extract meaningful information.

  10. Step 7: Data analysis techniques for your dissertation

    An understanding of the data analysis that you will carry out on your data can also be an expected component of the Research Strategy chapter of your dissertation write-up (i.e., usually Chapter Three: Research Strategy). Therefore, it is a good time to think about the data analysis process if you plan to start writing up this chapter at this ...

  11. OATD

    You may also want to consult these sites to search for other theses: Google Scholar; NDLTD, the Networked Digital Library of Theses and Dissertations.NDLTD provides information and a search engine for electronic theses and dissertations (ETDs), whether they are open access or not. Proquest Theses and Dissertations (PQDT), a database of dissertations and theses, whether they were published ...

  12. Dissertation & Thesis Data Analysis Help

    Fast-track your project, today. Drop us a message or book a no-obligation consultation. If you are a human seeing this field, please leave it empty. Get 1-on-1 help analysing and interpreting your qualitative or quantitative dissertation or thesis data from the experts at Grad Coach. Book online now.

  13. How to collect data for your thesis

    Empirical data: unique research that may be quantitative, qualitative, or mixed.. Theoretical data: secondary, scholarly sources like books and journal articles that provide theoretical context for your research.. Thesis: the culminating, multi-chapter project for a bachelor's, master's, or doctoral degree.. Qualitative data: info that cannot be measured, like observations and interviews.

  14. How To Write A Dissertation Or Thesis

    Craft a convincing dissertation or thesis research proposal. Write a clear, compelling introduction chapter. Undertake a thorough review of the existing research and write up a literature review. Undertake your own research. Present and interpret your findings. Draw a conclusion and discuss the implications.

  15. Open Access Theses and Dissertations (OATD)

    OATD.org provides open access graduate theses and dissertations published around the world. Metadata (information about the theses) comes from over 1100 colleges, universities, and research institutions. OATD currently indexes 6,654,285 theses and dissertations.

  16. LibGuides: ProQuest Dissertations & Theses Global: Home

    The database offers nearly 3.2 million full texts for most of the dissertations added since 1997. By leveraging the rich citation data found in ProQuest Dissertations & Theses Global and with new citation insight tool, researchers can benefit from focused pathways of discovery to build foundational knowledge on various research topics. Over ...

  17. Global ETD Search

    Global ETD Search. Search the 6,505,792 electronic theses and dissertations contained in the NDLTD archive:

  18. What Is a Dissertation?

    A dissertation is a long-form piece of academic writing based on original research conducted by you. It is usually submitted as the final step in order to finish a PhD program. Your dissertation is probably the longest piece of writing you've ever completed. It requires solid research, writing, and analysis skills, and it can be intimidating ...

  19. Dissertation Databases

    Dissertation Databases. Dissertations and Theses Online. Contains information about doctoral dissertations and master's theses from over 1,000 North American and European universities. Includes citations ranging from the first U.S. dissertation, accepted in 1861, to ones accepted as recently as last semester.

  20. Thesis & Dissertation Database Examples

    Thesis & Dissertation Database Examples. Published on September 9, 2022 by Tegan George . Revised on July 6, 2024. During the process of writing your thesis or dissertation, it can be helpful to read those submitted by other students. Luckily, many universities have databases where you can find out who has written about your dissertation topic ...

  21. Resources to Find Dissertations: Home

    A free, online database of Ohio's undergraduate, masters and doctoral theses and dissertations from participating OhioLINK member schools. It contains the abstract for all included theses and dissertations. The full-text is also available if it was submitted. Rutgers Electronic Theses & Dissertations (RUetd)

  22. Find Dissertations and Theses

    Most Ph.D. dissertations submitted from March 2012 forward are available online in DASH. Check HOLLIS, the Library Catalog, and refine your results by using the Advanced Search and limiting Resource Type to Dissertations; Search the database ProQuest Dissertations & Theses Global Don't hesitate to Ask a Librarian for assistance.

  23. Theses and Dissertations

    With more than 2.4 million entries, ProQuest Dissertations and Theses Global is the starting point for finding citations to doctoral dissertations and master's theses. Dissertations published from 1980 forward include 350-word abstracts written by the author. Master's theses published from 1988 forward include 150-word abstracts.

  24. University-Wide Requirements for the Ph.D. Dissertation

    Dissertations must comply with the specifications set by the Library, by the author's department, and by the University. Departments, divisions, and schools may have requirements in addition to those described in this booklet. Students are responsible for informing themselves of these additional ...

  25. Dissertation vs. Thesis: Understanding Differences & Similarities

    A master's dissertation is less common but involves new research that adds to the field. Doctoral Level. For Ph.D.s, the difference between a thesis and a dissertation is bigger. A doctoral thesis vs dissertation comparison shows that a dissertation involves a lot of research, collecting data, and creating new theories.

  26. Best AI Tools for Dissertation Writing for 2024

    Data Security: Free Trial: Customer Support: Refund Policy: ChatGPT: Generating research ideas and drafting content: 4.7/5: Free, Plus: $20/month ... free AI tools for thesis writing like ChatGPT and Paperpal offer user-friendly interfaces, making them ideal even for beginners. Functionality and Features: Choosing a tool that offers features ...

  27. [2408.16040] Fairness, Accuracy, and Unreliable Data

    This thesis investigates three areas targeted at improving the reliability of machine learning; fairness in machine learning, strategic classification, and algorithmic robustness. Each of these domains has special properties or structure that can complicate learning. A theme throughout this thesis is thinking about ways in which a `plain' empirical risk minimization algorithm will be ...

  28. Deep Learning Artifact Identification and Correction Methods for

    This thesis presents two deep learning methods, ArtifactID and GDCNet, developed for artifact detection and correction and tailored for their integration into accessible MRI systems. ... This method allows dynamic correction of the functional data as a distortion map is estimated for each temporal frame. For this model, we leveraged T1-weighted ...