2024/25 Undergraduate Module Catalogue

LUBS2910 Management Research and Analysis

20 Credits Class Size: 240

Module manager: Anna Viragos
Email: A.Viragos@leeds.ac.uk

Taught: Semesters 1 & 2 (Sep to Jun) View Timetable

Year running 2024/25

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 6
Lecture 18 1.5 27
Private study hours 167
Total Contact hours 33
Total hours (100hr per 10 credits) 200

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
Assignment Semester 2 Research proposal for empirical project (2000 words) 50
Total percentage (Assessment Coursework) 100

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 website

Last updated: 4/29/2024

Errors, omissions, failed links etc should be notified to the Catalogue Team