How to write phd dissertationa literature based dissertation a possible structure is as follows:Introduction - explain the purpose of the long essay, give research question, describe the structure.: research must be conducted in a sensible and ethical manner; data must be analysed and presented in a rational manner. > department of social policy > information for current students > the dissertation. however, bear in mind that they can slow down the dissertation process. a major challenge in case study dissertations is connecting your own primary research or re-analysis with the broader theoretical themes and empirical concerns of the existing literature. while all dissertations will include a literature review, it is possible to produce a dissertation that is entirely based on a review of the literature. data may also result from non-participant observations or other measurements (e. my dissertation is to be based around the experience of 'poverty', as poverty is the experience. you will access these sources of information (be they people, existing datasets, biographical accounts, media articles or websites, official records). research methods tutors on your course will be able to advise on the availability and accessibility of such data sets. you need to explain how you obtained data, via interviews, questionnaires etc. for example, if you are using purposive sampling, can you get access to the specific individuals that are important to the phenomenon you are researching? are some advantages of doing secondary analysis, particularly if you are doing a quantitative study.
Writing a dissertation using secondary data - Essay writing. if you decide to do a primarily theoretical dissertation, it is almost certain that your dissertation will be entirely literature-based. thinking about issues of access, ask yourself: can i get the access i need to: (a) people; (b) organisations; (c) data; (d) information; and (e) facilities. government reports and autobiographies may also be used as data. may also allow you to make comparisons over time, as some datasets are products of longitudinal studies. you need to be able to justify why you have chosen to use such data. after doing your quantitative analysis, you should include a chapter or section on the qualitative data you have collected. furthermore, some dissertations run into difficulties because key contacts leave or the internal projects associated with the dissertation are cancelled, so managers lose interest. however, there are a number of common factors that will determine whether your dissertation topic will be achievable. you will find it helpful to plot your research questions on the chart on the next page and ensure that your plans for collecting data really answer the question as well as avoiding ethical problems. however the following general points should be kept in mind at all times:Your fieldwork is an important part of your dissertation. analysis is when you analyse data which was collected by another researcher. introduction will give details of the research topic you have decided to focus on, why the topic is of interest, what the gaps are in knowledge, how your dissertation 'adds value' to previous research (i. should meet with their supervisor to discuss the approach, coverage, questions to be asked, and the outline structure and research design of the dissertation.
your research question can assist with structuring of your dissertation. remember that all tables must be carefully titled and labelled and that sources of your data must be acknowledged. qualitative data is particularly useful when you wish to find out why people engage in such behaviour. that you have got so far, try to write up your research proposal as far as you can. if you are using snowball sampling, do you think that enough people will come forward in time for you sample to be large enough? these links are not hard and fast – for instance, experimental research, designed to test a particular theory through developing a hypothesis and creating an experimental design, may use quantitative or qualitative data or a combination. most social policy dissertations do not fit neatly into any one methodological category or 'paradigm', but broadly speaking they are likely to tend towards one of three broad schools of thought:All dissertations involve the use of empirical evidence (even if it is existing evidence reported in the relevant literature), but what is called empiricism is an approach to evidence that is aligned to the conventions associated with the natural sciences., ask yourself:How critical is access to certain facilities to my dissertation topic? any of these issues affect you, we would recommend that you check that you can get the access you need before deciding on your dissertation topic. you may not be fond of statistics, but the potential relevance of a quantitative approach should be considered and similarly, the idea of qualitative analysis and conducting your own research may yield valuable data. ability to complete your proposed dissertation will depend on the specific topic. think about the type of non-probability sampling technique you may need to use for your dissertation topic to see what potential challenges you may face [see the section on non-probability sampling]. even if your dissertation is more empirically focused, it could still be entirely literature-based.
if your dissertation topic is all about international business, for example, you don't want to find out that you have not access to the journal of international business studies; unless you are prepare to pay for access yourself! this is of fundamental importance as it will ensure that your dissertation has a clear focus. reasons for data collection is literature based as my research question involved sensitive subjects which would have been unsuitable for primary data collection. social policy dissertations are 'applied' rather than 'theoretical', and you may find it difficult to be explicit about your chosen methodology. you have not yet completed your dissertation proposal, and only have a dissertation topic idea, you may not yet know what research design you will use, or the appropriate sampling strategy that goes with it. here you would not be collecting your own data but instead would be analysing existing documents. you will analyse each type of data and describe this, and then write a discussion that shows how each piece of analysis contributes to the overall picture of what is going on. if you are planning to do quantitative or qualitative research for your dissertation, it might also be useful to audit other relevant my courses. the summer months many of you will be undertaking fieldwork for your dissertations. 'approach' means something more than the type of data you use – it refers to your overall orientation to research and the type of claims you will make for your study. there are many advantages of using secondary data, but there are a number of potential disadvantages that can impede your ability to carry out your research, or at the very least, reduce its quality. are a range of documents that already contain research data that you can analyse. the use of literature and case studies is considered and the merits of primary research are debated and advice is given on the use of existing research data.