Latest Module Specifications
Current Academic Year 2025 - 2026
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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. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 methods The 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 thesis reflexivity; insider research; hermeneutics The 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 end ethnography and participant observation Ranging from total immersion in a particular locality through to video recordings as observing 'at-a-distance' historical analysis archives, memoirs, and document analysis face-to-face interviewing, including elite interviewing From structured, through semi-structured, to open-ended interviews discourse analysis Qualitative analysis of speech and text, including normative-based Critical Discourse Analysis textual analysis qualitative and quantitative content analysis statistical analysis From descriptive statistics (mean, mode etc) through to multivariate regression surveys From questionnaires to large-scale surveys experimental methods Including lab experiments, survey experiments, natural experiments, and quasi-experiments big data Sources, analytics, prediction | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Indicative Reading List Books:
Articles: None | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Other Resources
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