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Latest Module Specifications

Current Academic Year 2025 - 2026

Module Title Analytics & Research Methods in the Sociology of Disaster
Module Code MNA1115 (ITS: MT5156)
Faculty DCU Business School School DCU Business School
NFQ level 9 Credit Rating 5
Description

This module gives participants an understanding of the processes involved in undertaking research within the field of disaster studies. The focus of the module will be research as part of the emergency management specialism. The module will begin with an introduction to the methodological process and approaches used in disaster research. Each stage of the research process will be examined: research design, ethics, literature review, research methodologies and data gathering techniques, data analysis, and writeup. This module will examine sources of historical disaster data available to researchers and will include an overview of how this data is collected. Students will consider how the data can be collated, the basics of statistics, hypothesis testing, and principles of effective data visualisation. By the end of the module, students will have a thorough grasp of the principles and practicality of conducting research within the emergency management discipline.

Learning Outcomes

1. Describe the range of research methods, techniques and skills used in disaster research
2. Design an appropriate theoretical framework
3. Discuss how disaster research methods, techniques and skills can be used to address particular research questions with a practical relevance
4. Recognise and appraise ethical issues that may arise while carrying disaster fieldwork
5. Consider a variety of methodological options and identify the most suitable technique for the proposed research topic
6. Be familiar with the components of a research proposal that considers the methodological changes and challenges in disaster research
7. Be familiar with international sources of historical data and how this disaster-related data was compiled
8. Be able to undertake hypothesis testing, basics statistics, and effective data visualisation.


WorkloadFull time hours per semester
TypeHoursDescription
Lecture24Attendance & Participation
Independent Study101Directed learning - Reading, Research, Preparation of Assignments
Total Workload: 125
Section Breakdown
CRN11103Part of TermSemester 1 & 2
Coursework0%Examination Weight0%
Grade Scale40PASSPass Both ElementsY
Resit CategoryRC1Best MarkN
Module Co-ordinatorCaroline McmullanModule TeacherGavin Brown
Assessment Breakdown
TypeDescription% of totalAssessment Date
AssignmentUndertake an SLR - Group Activity30%Week 4
AssignmentStudy design - research methods; this includes considering ethics and responsibility in a research context.30%Week 9
AssignmentCreate Research questions10%Week 12
AssignmentHypothesis testing (SPSS + visualisation)30%Sem 1 End
Reassessment Requirement Type
Resit arrangements are explained by the following categories;
RC1: A resit is available for both* components of the module.
RC2: No resit is available for a 100% coursework module.
RC3: No resit is available for the coursework component where there is a coursework and summative examination element.

* ‘Both’ is used in the context of the module having a coursework/summative examination split; where the module is 100% coursework, there will also be a resit of the assessment

Pre-requisite None
Co-requisite None
Compatibles None
Incompatibles None

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

Indicative Content and Learning Activities

Introduction
Introduction to the disaster research process - problems of field studies in an emergency management context, ethics of disaster research, and social change and the practice of disaster research over the past 50 years

Designing a Research Project
Recognising opportunities, posing research questions, creating a conceptual framework and implementing methods of disaster research.

Developing a Theoretical Framework
Conducting and writing a systematic literature review; reviewing landmark studies in the field of disaster research.

Methodological Approaches in Disaster Research
Quantitative & Qualitative research methods

Data Analysis
Introduction to interpreting disaster research data & findings.

Indicative Reading List

Books:
  • Stallings, R.A.: 2003, Methods of disaster research., Xlibris Corporation,
  • M. N. K. Saunders,Adrian Thornhill,Philip Lewis: 2019, Research Methods for Business Students, 8, Pearson, 872, 9781292208787
  • Bryman, A.: 0, Social Research Methods, 5th ED, Oxford,
  • Boland, A., Cherry, G., & Dickson, R: 2017, Doing a systematic review: A student's guide, Sage,
  • Phillips, B. D.: 2014, Qualitative disaster research. Understanding Qualitative Research, Oxford,


Articles:
  • Norris, Fran H.: 2006, Disaster research methods: Past progress and future directions, Journal of Traumatic Stress: Official Publication of The International Society for Traumatic Stress Studies, 517029
  • 2006: Telephone-based research methods in disaster research., Methods for disaster mental health research., 517030, 2
  • Methodology of studying disasters: Past patterns and future possibilities: American Behavioral Scientist.,
Other Resources

  • 1: Report, World Economic Forum, 2018, Code of Ethics, Geneva,
  • 414307: 1, Report, Global Health Trials, 2011, The Draft Statement/Guidelines for Disaster Research,
  • https://globalhealthtrials.tghn.org/articles/draft-statementguidelines-disaster-research/:

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