2022/23 Undergraduate Module Catalogue
LUBS2910 Management Research and Analysis
20 creditsClass Size: 361
Module manager: Anna Viragos
Email: A.Viragos@leeds.ac.uk
Taught: Semesters 1 & 2 (Sep to Jun) View Timetable
Year running 2022/23
This module is not approved as a discovery module
Objectives
This module aims to equip students with a variety of practical skills in research design, methods, and analysis, both quantitative and qualitative, which are applied to evaluate and undertake research across the management field. These practical skills will be of particular use for the students' final year research dissertations. This core module on the BA Management programme will directly prepare students to undertake their own independent empirical research studies for their final year research dissertations.Learning outcomes
Upon completing this module, students will be able to:
- Recognise, describe and evaluate the different approaches to management research and the different epistemologies they represent
- Recognise, contextualise and evaluate the practical and ethical issues of conducting management research in organizations
Skills outcomes
Upon completing this module, students will be able to:
Transferable
- Design research studies, analyse data, and evaluate information
- Apply research approaches to solve problems
Subject specific
- Design, formulate, and conduct quantitative and qualitative research studies including collecting the appropriate data to test hypotheses and research questions
- Apply quantitative and qualitative research approaches to conduct management research in organizations
- Report management research in a clear and thorough manner suitable for the intended audience
Syllabus
Indicative content
Lectures:
1. Research processes and approaches
2. Literature reviews
3. Overview of quantitative research
4. Questionnaires
5. Quantitative research design
6. Correlation and regression
7. T-tests and ANOVA
8. Reporting management research
9. Qualitative research interviews
10. Specialist Qualitative methods
11. Qualitative data analysis
Tutorials:
1. Introduction for quantitative analysis with SPSS
2. Correlation and regression with SPSS
3. T-tests and ANOVA with SPSS
4. Qualitative data collection
5. Qualitative data analysis
6. Findings and discussion
Teaching methods
| Delivery type | Number | Length hours | Student hours |
| Workshop | 6 | 1.00 | 6.00 |
| Lecture | 18 | 1.50 | 27.00 |
| Private study hours | 167.00 | ||
| Total Contact hours | 33.00 | ||
| Total hours (100hr per 10 credits) | 200.00 | ||
Private study
This could include a variety of activities, such as reading, watching videos, question practice and exam preparation.Opportunities for Formative Feedback
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.Methods of assessment
Coursework
| Assessment type | Notes | % of formal assessment |
| Assignment | Semester 1 Practical report analysing data with SPSS software (2000 words). | 50.00 |
| Assignment | Semester 2 Research proposal for empirical project (2000 words) | 50.00 |
| Total percentage (Assessment Coursework) | 100.00 | |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated.
Reading list
The reading list is available from the Library websiteLast updated: 11/05/2022 09:46:38
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