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 3 association among several variables; factors A and B will have effects on several measures of performance). |