Module manager: Hilary Kane
Email: H.C.M.Kane@leeds.ac.uk
Taught: Semester 2 (Jan to Jun) View Timetable
Year running 2024/25
LUBS 5395M on MSc Management, MSc Global Innovation Management, MSc Global Supply Chain Management, MSc Information Systems and Information Management
This module is not approved as an Elective
The aim of this module is to provide students with an overview of the key issues in research design and in the analysis of quantitative and qualitative data.
The module will use lectures, discussions, practical exercises and assessments to support students in developing their ability to select appropriate research designs, methods and analytical tools to test competing ideas and theories.
This module offers students the necessary grounding in research methods to undertake academic and practitioner research – a key skill for scientific-practitioners.
On completion of this module, students will be able to critically assess:
- The stages involved in designing applied research studies and the key decisions that need to be made
- Philosophical arguments, and the strengths and weaknesses relating to quantitative and qualitative methodologies
- Appropriate research designs and methods for developing and testing theory in a range of applied contexts
- Qualitative analytical techniques
- The ethical implications of differing research designs and relate these to professional codes of practice
On completion of this module, students will have developed the skills necessary to:
Subject specific:
- plan and design research studies to explore theory and assumptions
- gather data and information in practice
- analyse qualitative and quantitative data sets
Transferable:
- report research results in a clear and consistent way
- think critically and to contrast competing ideas
Topics:
1. Research Process and Research Philosophy
2. Literature Reviews
3. Case Study Research
4. Interviews: Theory and Practice
5. Ethnography and Observation
6. Analysing and Reporting Qualitative Research
7. Questionnaire Design
8. Research Design and Descriptive Statistics
9. Correlation and Simple Regression
10. T-Tests and ANOVA
Practical tutorials will be included to reinforce learning and to support application in the dissertation project and professional practice. Indicative topics covered include: qualitative analysis; statistics (using SPSS); literature searching; research proposal writing; professional ethics.
| Delivery type | Number | Length hours | Student hours |
|---|---|---|---|
| Workshop | 3 | 1 | 3 |
| Lecture | 22 | 1 | 22 |
| Seminar | 7 | 1 | 7 |
| Private study hours | 117 | ||
| Total Contact hours | 32 | ||
| Total hours (100hr per 10 credits) | 149 | ||
This could include a variety of activities, such as reading, watching videos, question practice and exam preparation.
Your teaching methods could include a variety of delivery models, such as face-to-face teaching, live webinars, discussion boards and other interactive activities. There will be opportunities for formative feedback throughout the module.
| Assessment type | Notes | % of formal assessment |
|---|---|---|
| Essay | 3000 words | 100 |
| Total percentage (Assessment Coursework) | 100 | |
The resit for this module will be 100% by 3,000 words coursework.
The reading list is available from the Library website
Last updated: 8/16/2024
Errors, omissions, failed links etc should be notified to the Catalogue Team