2015/16 Taught Postgraduate Module Catalogue
LUBS5219M Quantitative Methods for International Business
10 creditsClass Size: 230
Module manager: Dr. Emma Liu
Email: E.Y.Liu@leeds.ac.uk
Taught: Semester 1 (Sep to Jan) View Timetable
Year running 2015/16
This module is not approved as an Elective
Objectives
This module examines how a wide range of quantitative statistical techniques and analytical tools can be applied to the investigation of data derived from both primary and secondary data sources and how those can be used to analyse real-world business problems. Emphasis is placed on showing how managers can effectively use such techniques to evaluate and enhance different aspects of organizational performance.This module is linked to the Professional & Research Methods for International Business module delivered through Semesters 1 and 2 and the Dissertation.
Learning outcomes
On successful completion of this module students will be able to critically evaluate:
- The statistical theory that forms the basis of the quantitative methods explored in this module
- A variety of statistical and quantitative methods and their applications
- The appropriate quantitative method to be used depending on a given scenario and problem to be solved
- Different aspects of organizational performance, and appraise how it is influenced by factors such as international expansion, geographic and product diversification, and innovation;
- A wide range of quantitative methods, their benefits and problems, and use such techniques in practice in order to solve business problems
Skills outcomes
On successful completion of this module students will be able to:
Transferable
- Perform numeracy and quantitative assessments including data analysis, interpretation and extrapolation
- Analyse real-world problems and formulate plans to solve them
- Conduct and influence the decision making process
- Utilise information technology for business applications
- Conduct regression analysis in order to evaluate the relationship between two (or more) variables
Subject Specific
- Interpret statistical output from relevant business analysis software packages
- Select, apply and interpret appropriate quantitative methods to solve business problems
- Compare and contrast research reports from a variety of disciplines ( e.g. marketing)
- Carry out a number of parametric and non-parametric tests and evaluate the strategic importance of the results
Syllabus
Indicative content:
1. Data presentation and types of variables and measures
2. Measures of location and dispersion
3. The nature, properties and use of probability distributions (normal distribution)
4. Confidence intervals
5. Hypothesis testing
6. Non-Parametric methods
7. Correlation between variables
8. Simple linear regression
9. Multivariate linear regression
10. Logistic regression using dependent variables that are qualitative
Teaching methods
| Delivery type | Number | Length hours | Student hours |
| Lecture | 1 | 1.00 | 1.00 |
| Lecture | 10 | 2.00 | 20.00 |
| Seminar | 3 | 3.00 | 9.00 |
| Private study hours | 70.00 | ||
| Total Contact hours | 30.00 | ||
| Total hours (100hr per 10 credits) | 100.00 | ||
Private study
- 40 hours: general reading (inc. revision for exams)- 20 hours: preparation for weekly exercises/problems
- 10 hours: preparation for SPSS.
Opportunities for Formative Feedback
Students' progress will be monitored weekly through in-class solving of exercises related to the content of the lecture.Students will be provided with feedback on their responses by the lecturer during the class and they will also be provided with solutions and explanations to the practical exercises in written-form (or on the VLE) after the class has finished.
Students will sit a mid-semester examination (30%) on which they will receive formative feedback in terms of the mark awarded. Students will have the opportunity to discuss their performance with module staff to identify areas of problematic understanding to enable them to prepare for the summative assessment at the conclusion of the module.
Students will be encouraged to complete non-assessed practical exercises during the module on which they will be given written formative feedback to gauge their progress prior to the summative assessment at the conclusion of the module. The marks and feedback from this in conjunction with class discussions during the module will enable student to gauge progress during the course of the module prior to the assessment at the conclusion of the module.
The summative assessment of the module takes the form of a mid-term examination (30%) and an examination taken at the conclusion of the module (70%).
Students can also obtain feedback on a one-to-one basis from the module manager and lecturers outside the class setting.
Methods of assessment
Coursework
| Assessment type | Notes | % of formal assessment |
| In-course Assessment | Examination | 30.00 |
| Total percentage (Assessment Coursework) | 30.00 | |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
Exams
| Exam type | Exam duration | % of formal assessment |
| Standard exam (closed essays, MCQs etc) | 2 hr | 70.00 |
| Total percentage (Assessment Exams) | 70.00 | |
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: 24/09/2015
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