If you are interested, for example, in doing historical research, you may need to visit archives. Government reports and autobiographies may also be used as data.
Other documents include official statistics, datasets (statistical data), and banks of interview transcripts which are all freely available to the academic community. Increasingly, documents, databases and archives are readily accessible online. Research Methods tutors on your course will be able to advise on the availability and accessibility of such data sets.
There are some advantages of doing secondary analysis, particularly if you are doing a quantitative study. You will be able to work with much larger datasets than you could have collected yourself. This has the following advantages:
There are a range of documents that already contain research data that you can analyse. You may, for example, be interested in exploring whether gender stereotypes in the media are changing. This might entail content analysis of newspapers, magazines, video or other media over different time periods. Here you would not be collecting your own data but instead would be analysing existing documents.
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Quantitative data may also result from non-participant observations or other measurements (e.g. in an experimental design). Also, sometimes data that are collected through qualitative processes (participant observation, interviews) are coded and quantified. Your research methods tutor can give you further information on these types of data, but here are some common quantitative data collection methods and their definitions:
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Secondary analysis is when you analyse data which was collected by another researcher. It allows the researcher to explore areas of interest without having to go through the process of collecting data themselves in the field. The problem with using fieldwork methods in an undergraduate dissertation, however, is that they are costly in terms of time (which is relatively scarce in your final year!) and possibly your own financial resources too. You may choose, therefore, to undertake secondary research, analysing existing data.
Instruments and Procedures:
Quantitative and Mixed Methods:
Describes and justifies type of instrument(s), gives name/source if “off the shelf”, enlightens concepts measured, calculation of values/scores, pilot test if applicable, and instrument authenticity, with reference to appendices.
Research sample and data sources:
Gives details and justifies type of sample used and the selection procedure of the participants (including population, sampling frame, and sampling procedures for quantitative or mixed methods studies).
Describes characteristics and size of sample (all) and/or data set (quantitative/mixed methods only, if applicable).
Confirms the protection of the participants’ rights with reference to the conventions of research ethics and the IRB process.
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Whilst it is possible for dissertations to be entirely literature-based, the most common form of dissertation takes the form of a case study. Here the focus of attention is on a particular community, organisation or set of documents. The attraction of this kind of dissertation is that it stems from empirical curiosity but is at the same time practical. You may be interested in a wider question but a case study enables you to focus on a specific example. 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.
If you are conducting a qualitative analysis you are likely to wish to use at least some original material. This may be collected through in-depth interviews, participant observation recordings and fieldnotes, non-participant observation, or some combination of these. Below are some data collection methods that you might want to use for your dissertation:
Yes. If you decide to do a primarily theoretical dissertation, it is almost certain that your dissertation will be entirely literature-based. This is likely to be the methodology of theoretical analysis: selection and discussion of theoretical material and descriptive material, in context, and detailed comparison of theories in terms of their applicability. You might ask how useful certain concepts or theories are for understanding particular patterns of behaviour. How useful is the concept of institutional racism? Is objectivity in the media possible? How useful is subcultural theory for understanding virtual communities? Here, the focus of attention is not so much to discover something about the social world, for example virtual communities, as to reach a judgement about the value of key concepts or theories in understanding that world. How the study is approached and how contrasting approaches are drawn upon needs to be stated very clearly.
A library-based or theoretical study is not necessarily 'easier' than an empirical study, indeed, it may well be harder. Remember that theoretical studies, like data-based studies, need to have their research design spelled out from the start.
But even if your dissertation is more empirically focused, it could still be entirely literature-based. You might choose to conduct a review of a field of work. What does the research literature in this field tell us about x? 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. If you do this, it is important to review the literature from an explicit angle and identify some themes to make the review distinctive. You might, for example, explore empirical debates in your chosen field across different countries or time periods.
Research design or tradition:
Addresses the research questions by the description of its approach with rational citing appropriate methodological literature.