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2019/20 Taught Postgraduate Module Catalogue

LUBS5285M Introduction to Research Design and Data Analysis

15 creditsClass Size: 50

Module manager: Barbara Summers

Taught: Semester 2 View Timetable

Year running 2019/20

Pre-requisite qualifications

All students participating in this module must already have obtained the required qualifications to enter the LUBS PhD programme.

This module is not approved as an Elective


This module seeks to provide an overview of research design and various research methods and an understanding of data analysis as required for conducting sound research.

The quantitative element of this module introduces students to quantitative research approaches and analysis techniques.

The qualitative element of this module is intended to introduce doctoral students to the opportunities and challenges of qualitative research. We will focus on three widely used qualitative methods in organizational research - case study, ethnography and interviews, and a session on the basics of analysing qualitative data.

Learning outcomes
On completion of this module students will be able to critically assess:
- the research process including alternative research strategies
- qualitative and quantitative data collection methods
- qualitative data analysis and quantitative data analysis

Skills outcomes
On completion of this module students will be able to:

- select an appropriate research design
- design data collection methods
- conduct field research
- analyse and interpret qualitative and quantitative data
- write up a basic report


Indicative content:

Quantitative element:

- Introduction to quantitative research, including surveys, experiments (including quasi experiments and natural experiments), and secondary data analysis.
- Methods of quantitative data collection.
- Basis quantitative data analysis including hypothesis testing, multivariate analysis and non-parametric statistics.

Qualitative element:

- Introduction to qualitative research
- Ethnography
- Case study
- Interview
- Basic qualitative data analysis

Teaching methods

Delivery typeNumberLength hoursStudent hours
Private study hours104.00
Total Contact hours46.00
Total hours (100hr per 10 credits)150.00

Private study

Since the module covers diverse topics, each lecture hour presumes at least 6 hours of private study in terms of reading the text and papers on the topic, reading journal articles to understand the application of the concepts, and solving problems.

Specific times are as follows:
- Pre-workshop reading and preparation: 20 hours
- Post-workshop reading: 30 hours
- Completion of assessed coursework: 54 hours.

Opportunities for Formative Feedback

Class tests and assignment. The former focuses on student's understanding of the concepts. The latter focuses on the ability to apply the concepts.

Methods of assessment

Assessment typeNotes% of formal assessment
Assignment3,000 words100.00
Total percentage (Assessment Coursework)100.00

Resit to be determined

Reading list

The reading list is available from the Library website

Last updated: 30/04/2019


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