Module Specifications.
Current Academic Year 2024 - 2025
All Module information is indicative, and this portal is an interim interface pending the full upgrade of Coursebuilder and subsequent integration to the new DCU Student Information System (DCU Key).
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Date posted: September 2024
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Coursework Only Two assignments as above |
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Description The purpose of this module is to present students with a palette of research methods that can be applied to a doctoral thesis in social sciences, business, and law. It will allow students to make an informed choice about the most appropriate methods for their own doctoral research. | |||||||||||||||||||||||||||||||||||||||||||
Learning Outcomes 1. Identify a wide range of research methods that can be applied to doctoral research in the social sciences, business and law 2. Appreciate the general strengths and limitations of different research methods that are applicable to doctoral research in the social sciences, business and law 3. Assess the opportunities for the application of different research methods to their own doctoral research in the social sciences, business and law 4. Apply one or more research methods to their own doctoral research in the social sciences, business and law | |||||||||||||||||||||||||||||||||||||||||||
All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml |
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Indicative Content and Learning Activities
Choosing research methodsThe module begins by emphasising that research methods should be a conscious choice, that there are many methods from which to choose, that there are strengths and weaknesses to all methods, and that the successful application of innovative research methods can add great value to a doctoral thesisreflexivity; insider research; hermeneuticsThe module presents a palette of different methods over the weeks. The emphasis moves from qualitative methods at the start, beginning with the researcher as participant, through to quantitative, big data methods at the endethnography and participant observationRanging from total immersion in a particular locality through to video recordings as observing 'at-a-distance'historical analysisarchives, memoirs, and document analysisface-to-face interviewing, including elite interviewingFrom structured, through semi-structured, to open-ended interviewsdiscourse analysisQualitative analysis of speech and text, including normative-based Critical Discourse Analysistextual analysisqualitative and quantitative content analysisstatistical analysisFrom descriptive statistics (mean, mode etc) through to multivariate regressionsurveysFrom questionnaires to large-scale surveysexperimental methodsIncluding lab experiments, survey experiments, natural experiments, and quasi-experimentsbig dataSources, analytics, prediction | |||||||||||||||||||||||||||||||||||||||||||
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Indicative Reading List
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Other Resources 31415, website, London School of Economics, 0, Writing For Research, http://blogs.lse.ac.uk/writingforresearch/, 31416, website, 0, Sage Research Methods, http://methods.sagepub.com, | |||||||||||||||||||||||||||||||||||||||||||