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First of all, you'll want to answer certain broad questions about the kind of analysis you're undertaking: is it qualitative or quantitative, or a mixed approach that uses qualitative data to provide context and background to quantitative data (or vice versa)?
Part of this, of course, entails obtaining sign-off for your design from the appropriate ethics bodies, but even then there might be aspects of your study – inviting subjects to relive episodes of grief and trauma, for instance, or broaching culturally sensitive matters within a particular target group – that some readers could consider contentious or problematic.
Make sure you address such concerns head-on, and if necessary justify your methods by emphasising the potential value of your conclusions.
The methodology section in an arts or humanities dissertation is likely to be much more closely linked to the literature review than a scientific or social sciences study; even the most innovative dissertation in the arts or humanities typically involves applying X's theories in a new context, or combining X and Y's insights to yield a new theoretical framework.
For this reason it can be tempting to gloss over the methodology section in an arts or humanities dissertation, and move more or less seamlessly from literature review into analysis.
But it's crucial that you provide a detailed justification of your chosen frameworks and how they relate to your research question here too; without this justification a critical reader may very well take issue with your entire analysis because you've failed to convince them of the appropriateness of your theoretical underpinnings to the material you're analysing.
In particular, it's vitally important that your dissertation methodology shows an appreciation of the historical and cultural contexts of the theoretical frameworks you use, especially where there's fundamental disagreement between theorists.
You will have used these observations, along with discussions with your supervisor, to plan how you're going to tackle your research question.
This could be planning how you'll gather data, or what models you'll use to process it, or what philosophical positions most inform your work.
Last November, Stanford started accepting digital dissertations for the first time, allowing students to opt out of hundreds of dollars in printing and processing costs.
The new program also enabled CC licensing, allowing students to make their work available under a license of their choosing.