Skip to main content

How To Write a (Thesis / Dissertation) Proposal


1. Know the area
a. Read, read, read, …
b. Average 10-15 papers per week
c. Current Journals: at least read/scan abstracts
d. Use reference management software! (e.g. ProCite and EndNote)
e. Use search engines (MedLine, Ergo Abstracts, Psych Info, Compendex, ACM Digital Library, etc.)
f. Go to the source literature (don’t expect textbooks and other secondary sources to be either accurate or complete)
2. Go outside your area
a. Good source of new/different ideas
b. Avoids embarrassing overlap (already done by others in another field)
3. Pay attention to methods, analyses, motivations, applications
a. We did this because …
b. This work can be applied to …
4. Tree-in; tree-out
a. Look at paper citations, and who cited particular papers (ISI Citation Index)
b. Note how others interpreted (or how cited) papers you’ve already read; they may have a different interpretation
5. Don’t get ‘paper-locked’
a. Easy to get overwhelmed and biased by what has already been done
b. Once familiar with an area, what has and hasn’t been done, start working on what you could do
6. Look at proposals and documents generated by your predecessors

At this point, generate some initial ideas. Be creative, flexible, novel. Good idea to test them, if possible.

The proposal itself:
Be professional. Dress appropriately (even if faculty don’t!).
Should you bring refreshments? It’s certainly appreciated but definitely not needed or expected.

Jumping ahead, what does a faculty member look for in a proposal?
My opinions here, so don’t blame me!
Most, though, see it as a “contract”: “If you do this work, do it well and write it up well, we won’t later claim that it’s not appropriate or sufficient”

1. It should be well-written
a. Organized, with a logical flow
b. Concise, but also complete
c. Good grammar
d. It’s usually a good idea to have a colleague read it before giving it to the advisor, especially if they have already submitted their first draft or successfully defended their proposal. Often little errors or small changes will be identified and addressed. They can also be some the best sources of information for “why” or “how”.
2. General structure is typically followed, but there is flexibility in the details
a. Introduction (Background, Motivations, Literature review)
b. Objective/Purposes/Hypothesis (need not be a separate section, but often is)
c. Methods
d. Preliminary Results
3. Introduction
a. It’s not a literature review! It should be a summary of existing evidence that motivates your specific, proposed work.
b. Start broad (e.g. injuries, need for ergonomics, etc.), become increasingly specific
c. End with a review, and broaden out to discuss potential applications (importance) of the proposed work
d. Topics to be addressed: what’s been done; what hasn’t; what is needed and why; indicate your part or contribution (scoping your domain)
e. Intro should contain some statements of objectives, purposes, and hypothesis. Placement is flexible, though, and these could be in separate sections between Intro and Methods, or even part of the Methods. Depending on the specifics, not all of these (objective, purposes, and hypotheses) will always been relevant. More important that it be clear and readable.
f. How long should it be? Long enough to satisfy the above goals. Typically 10-30 pages for an MS, longer for a PhD proposal.
g. When summarizing existing literature, it is not enough just to describe what authors X, Y, and Z did. Results should be interpreted, in the context of the overall review and study objectives.
h. In particular, discuss contrasting evidence, possible sources for discrepancies (experimental design, lack of controls, sensitivity of measures, etc.), and the importance of resolving the differences.
i. Summarize evidence, rarely individual studies.
4. Objectives/Purposes
a. Non-quantitative, but specific and clearly filling some hole/need addressed in the Introduction.
b. The Intro should have motivated and “scoped” the stated objectives and purposes.
5. Hypotheses
a. Non-quantitative, but again specific and clear.
b. There should be obvious connections to the objectives; addressing (proving) your hypotheses supports achieving your objectives
c. There must be clear (though not stated here) indications of how statistical methods would be used to evaluate the hypotheses. In the methods, your statistical tests should make reference to these hypotheses.
d. Not every statistical test should have an associated hypothesis (otherwise it would be unwieldy); instead, the hypotheses can be general (e.g. there will be an association among several variables; factors A and B will have effects on several measures of performance).
e. Don’t use words like ‘significant’, save this for the description of statistical methods.
6. Methods
a. What will be done, how, and why? In particularly “why” (why this IV, why these levels, why this measure, …)
b. With respect to how and why, there is typically more than one way to do
something, and you must explain (and sometimes justify) your choice.
c. The methods should have clear connections to the hypotheses.
d. The Methods tends to be a difficult and sometimes complicated section. In general, proceed from broad to specific, but also ensure that a context is provided before specific details are raised. For example, don’t describe specific experimental treatments before you’ve even explained the overall approach and the different independent and dependent variables.
e. For widely-used and generally accepted approaches, just summarize with reference to the literature. For other approaches, more explanation and justification needed.
f. Note that ‘repeated measures’ refers to a study design, while within- and between-subjects refers to specific independent measures (or treatments). Nested and between-subjects factors are synonymous.
g. The reader should be able to understand what you’re talking about, given what was provided before (use of a colleague again helps here).
h. Subsections are often used such as: Overview; Participants; Procedures; Instrumentation; Experimental Design; Data Reduction; Analysis (stats)
i. The specific ordering of the sections in g., should achieve the goals of d. and f.
j. Somewhere (typically in Experimental Design), there should be an explicit statement of the independent and dependent variables (or factors, or measures)
7. Limitations, expected results, contribution, future work (don’t leave the reader to guess these)

So how do I get there? Unfortunately, this is as much an art as a science, but here are some things to consider:

1. Some General Tips:
a. Each paragraph proceeds from general to specific.
b. Some have suggested that reading the first sentence of every paragraph in the document should convey the essential meaning of the whole.
c. Vary the structure of your sentences and paragraphs.
d. Use transitions between paragraphs (either the last sentence of the proceeding one or the first sentence of the subsequent one, should tie the two together).
e. Avoid one-sentence paragraphs (generally at least 3 sentences comprise a paragraph)
f. Consider optional presentation methods (always using good HF knowledge and practice). Often the same thing can be conveyed by text, graphs, tables, diagrams, etc. Pick what is the most effective, but avoid duplication.
g. Get in the habit of writing (and reading, in a special way, as noted earlier). As a student, it helped me to write something every day, even if it was brief, and even if I didn’t later use it. It also helped (and still does) to write down my thoughts.
2. Some common mistakes to avoid:
a. Repetitive sentence structure (The… The… The… or However, … Additionally, … Therefore, …)
b. Avoid complex words and convoluted sentence constructions, where simpler ones will convey the information (like utilize vs. use; cognizant vs. aware; though personal style always has a role). Eschew obfuscation!
c. There is no advantage to be gained by making something obscure. The scientific value is not enhanced by complicated words and prose, and to someone that knows the field, you don’t sound any more knowledgeable. If you look at some of the best journals, they are typically written in a very dry, boring, direct, and terse style. It tends to be the weaker journals where creative writing flourishes!

Popular posts from this blog

US Scholarships Updates

I. Financial Aid UG: Eastern Illinois University Scholarships for New International Students UG: College of Saint Benedict and Saint John's University Scholarships UG: Fresno Pacific University President’s Scholarship UG/Grad: East Tennessee State University Academic Merit Scholarship UG/Grad: Southern Oregon University Cascade & Siskiyou International Student Scholarships UG/Grad: CollegeWeekLive $1,000 Scholarship Grad/Postgrad/Postdoc: The University of Michigan Law School Fellowships II. Campus News • Live Online: College Week Live International Day October 13th • International Students Get Job Search Tips at Seminar • University of Missouri Celebrates International Day • University of California Davis Announces Global Achievement Program I. Financial Aid EASTERN ILLINOIS UNIVERSITY SCHOLARSHIPS FOR NEW INTERNATIONAL STUDENTS Eastern Illinois University is proud to announce scholarships for new international students! Undergraduate students that have...

JCR JOURNALS - SOCIAL SCIENCE

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z I< <   >   >I SR TITLE COUNTRY 1772 KEDI JOURNAL OF EDUCATIONAL POLICY SOUTH KOREA 1773 KENNEDY INSTITUTE OF ETHICS JOURNAL UNITED STATES 1774 KINDHEIT UND ENTWICKLUNG GERMANY 1775 KINESIOLOGY CROATIA 1776 KNOWLEDGE MANAGEMENT RESEARCH & PRACTICE ENGLAND 1777 KNOWLEDGE ORGANIZATION GERMANY 1778 KOLNER ZEITSCHRIFT FUR SOZIOLOGIE UND SOZIALPSYCHOLOGIE GERMANY 1779 KOREA OBSERVER SOUTH KOREA 1780 KOREAN ECONOMIC REVIEW SOUTH KOREA 1781 KOREAN JOURNAL OF DEFENSE ANALYSIS SOUTH KOREA 1782 KRIMINOLOGISCHES JOUR...

How to write strcutured abstracts

Structured abstracts Emerald introduced structured abstracts to all journals in 2005. This development was undertaken as part of the strategy of continuous improvement in the delivery and dissemination of papers. Use of structured abstracts ensures that better information is supplied and that there is more consistency across the journals and database. Ultimately, readers and researchers searching the database are more likely to access the paper when the abstract provides useful information. In the past, author-written abstracts were very variable both in terms of content and quality. Structured abstracts ensure we no longer have this problem.  In an electronic environment, abstracts are more important that they have ever been. Sometimes this “snippet” is the only thing a reader or researcher will see and it is the one chance we have of persuading them to download the full text of the paper. Structured abstracts act like signposts, they provide: Consistency and clarity. Much ea...