Postgraduate Course: Quantitative Methods for Business Scholars (CMSE11524)
Course Outline
| School | Business School |
College | College of Arts, Humanities and Social Sciences |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Available to all students |
| SCQF Credits | 20 |
ECTS Credits | 10 |
| Summary | The course offers an overview and critical understanding of common quantitative research designs, techniques and analysis used within business research. |
| Course description |
The course aims to help develop an understanding of the core quantitative techniques used in Business Research for scholarly purposes.
A particular emphasis is placed on designing quantitative research projects so that they are academically rigorous to allow 1) for successful completion of a research degree and 2) for work to be submitted for publication in leading journals. The core will introduce core concepts and techniques before familiarising students with core software for analysis and introducing further advanced software methods to be considered.
Students will be provided with the theoretical concepts, tools and methods of statistics as well as the opportunity to work through example problems.
Course Outline:
1. Quantitative research design for Business (Survey, Experiment, Data-set)
2. Distributions and hypothesis testing
3. Parametric vs. Non-parametric testing
4. Correlation and Simple Linear Regression
5. Factor and Cluster Analysis
6. Logistic regression
7. ANOVA family
8. Mediation and moderation
9. Structural equation modelling
10. Overview of advanced analysis technique (e.g. Baysian)
|
Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
|
Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
Information for Visiting Students
| Pre-requisites | None |
| High Demand Course? |
Yes |
Course Delivery Information
|
| Academic year 2022/23, Available to all students (SV1)
|
Quota: None |
| Course Start |
Semester 2 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
200
(
Lecture Hours 20,
Programme Level Learning and Teaching Hours 4,
Directed Learning and Independent Learning Hours
176 )
|
| Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
|
| Additional Information (Assessment) |
100% coursework (individual)
This course will be assessed by submission of an individual essay (~4000 words).
Students will be expected to analyse and write up results of data they have gathered or have been provided from an example set. They will need to discuss and test assumptions of the experiment(s) they will run. |
| Feedback |
Formative feedback: TBC
Summative feedback: TBC |
| No Exam Information |
Learning Outcomes
On completion of this course, the student will be able to:
- Describe and discuss the key terminology, concepts tools and techniques used in quantitative research by business scholars.
- Critically evaluate the underlying assumptions of analysis procedures.
- Understand and critically discuss the issues surrounding sampling and significance.
- Discuss critically the uses and limitations of statistical analysis.
- Solve a range of problems using the techniques covered.
|
Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | Quantitative,Business,Statistics,Surveys,Experiments |
Contacts
| Course organiser | Prof Jake Ansell
Tel: (0131 6)50 3806
Email: J.Ansell@ed.ac.uk |
Course secretary | Mr Ciaran Masson
Tel: (0131 6)50 9945
Email: Ciaran.Masson@ed.ac.uk |
|
|
University Homepage