MH944-10 Mixed Methods Analysis and Integration
Introductory description
Module aims
This module aims to introduce students to the core principles of mixed methods analysis, commonly used analysis techniques and
the opportunities and challenges associated with analysing
qualitative, quantitative and mixed data to answer a single
research question.
Outline syllabus
This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.
Principles of mixed methods analysis, research design and analysis, data transformation (qual to quant and quant to qual), the meta-matrix, PIP method, barriers and challenges to analysis and integration, computer assisted analysis, planning a mixed methods analysis.
Learning outcomes
By the end of the module, students should be able to:
- 1. Discriminate between the two underpinning approaches to mixed methods analysis: merging and connecting.
- 2. Identify commonly used analysis techniques within these broad approaches (e.g. meta-matrices/PIP/data transformation).
- 3. Identify, and construct means of addressing, common barriers to data analysis integration (conflicting datasets, sample sizes discrepancies, loss of meaning or precision during data transformation etc.)
- 4. To justify the relationship between analysis and research design.
- 5. Formulate an analysis plan for use in their own mixed methods project.
Indicative reading list
Andrew, S. and E. Halcomb (eds). 2009. Mixed Methods Research for Nursing and the Health Sciences Oxford: Wiley Blackwell.
Creswell, J. 2009. Research Design: Qualitative, Quantitative and Mixed Methods Approaches (3rd Edition) London: Sage.
Plano Clark, V. and J. Creswell (eds). 2008. The Mixed Methods Reader London: Sage.
Teddlie, C. and A. Tashakkori. 2009. Foundations of Mixed Methods Research: Integrating Quantitative and Qualitative Approaches in the Social and Behavioural Sciences London: Sage.
Subject specific skills
Sound understanding of subject
Critically evaluate
Reflection
Transferable skills
Numeracy
Thinking and problem solving
written communication
oral communication
Teamwork
Organisation & time management
Use of tools and technology
Commercial awareness
Independence and initiative
Adaptability/Flexibility
Study time
| Type | Required |
|---|---|
| Seminars | 15 sessions of 1 hour (15%) |
| Private study | 84 hours (84%) |
| Assessment | 1 hour (1%) |
| Total | 100 hours |
Private study description
Each 10 CAT module is two days long (teaching) with 6 weeks for completion of assignment.
Costs
No further costs have been identified for this module.
You must pass all assessment components to pass the module.
Students can register for this module without taking any assessment.
Assessment group A1
| Weighting | Study time | Eligible for self-certification | |
|---|---|---|---|
Assessment component |
|||
| 2000 word assignment | 100% | 1 hour | Yes (extension) |
Reassessment component is the same |
|||
Feedback on assessment
Students will be provided with written feedback on their assignments.
Courses
This module is Optional for:
-
TIMA-L981 Postgraduate Social Science Research
- Year 1 of L98A Social Science Research (Applied Linguistics)
- Year 1 of L98H Social Science Research (Economic and Social History)
- Year 1 of L98D Social Science Research (Education)
This module is Option list A for:
-
TIMA-L981 Postgraduate Social Science Research
- Year 1 of L98A Social Science Research (Applied Linguistics)
- Year 1 of L98K Social Science Research (Interdisciplinary Methodologies)
- Year 1 of L98E Social Science Research (Management & Business Studies and Finance)
- Year 1 of L98G Social Science Research (Political Science & International Relations)
This module is Option list C for:
- Year 1 of TIMA-L981 Postgraduate Social Science Research