| Module Identifier |
PGM0730 |
| Module Title |
DATA ANALYSIS AND QUANTITATIVE TECHNIQUES |
| Academic Year |
2005/2006 |
| Co-ordinator |
Professor Owain M Ap Gwilym |
| Semester |
Semester 1 |
| Other staff |
Dr Graeme A M Davies |
| Course delivery |
Lecture | |
| |
Practical | |
| Assessment |
| Assessment Type | Assessment Length/Details | Proportion |
|---|
| Semester Assessment | 3,000 word essay: discussion of the applicability of different methodological approaches to the student's research project - 80% 2,000 word critical review and/or application of a quantitative methodology covered within the module - 20% | 100% |
|
Learning outcomes
On successful completion of this module students should be able to:
-
Demonstrate competency in understanding and applying a range of research methods, to enable the collection of both quantitative and qualitative data.
-
Display knowledge of the management of research data, and the use of IT in such data management
-
Demonstrate skills in conducting research in a manner which is consistent with professional practice
-
Demonstrate an awareness of the key skills involved in analysing quantitative and qualitative data.
-
Demonstrate an awareness of a range of quantitative techniques and related software.
-
Demonstrate an appreciation of relevant applications of quantitative methodologies
Aims
This module aims to provide students with a broad knowledge of a range of methodological and analytical skills, which they can apply in a variety of research contexts. The module is aimed at students who have no previous experience with qualitative analysis, but who have previously studied basic quantitative techniques such as regression analysis. The module complements the coverage of quantitative methods offered in PGM0620 (Empirical Methods).
Brief description
The module firstly offers students a foundation in the basic principles of qualitative research methodology. It will provide students with an introduction to the major methods of qualitative data collection and analysis, explain how qualitative data are actively constructed and interpreted by the reseracher, and offer an appreciations of the practical and epistemological concerns raised by qualitative data collection. This will include a consideration of questionnaire design, interviewing techniques, survey design and qualitative data analysis. This will be complemented by coverage of econometric methodologies which can be applied in the context of PhD study in the social sciences. This will include advanced time series analysis, event study methodology and performance measurement. Practical sessions will provide insights to the application of the techniques, including the use of relevant software.
Content
Part A: Data collection and Qualitative analysis
Bridging the Quantitative-Qualitative Divide
Combining Methods
Data sources and context
Internet data collection
Sampling Theory
Survey design and intervviewing
Questionnaire design
The nature and use of qualitative data
Archival and documentary analysis
Focus groups
Participant observation
Semi structured interviewing
Using contemporary texts
Content and discourse analysis
Part B: Quantittive techniques
Event study methodology
High frequency data analysis
Efficiency frontier models
Limited dependent variable models
Performance measurement
Vector Augoregression (VAR) Analysis and the Johansen ML Procedure
Autoregressive Distributed Lag Models - Cointegration
Module Skills
Reading Lists
Books
** Recommended Text
de Vaus, David (2001) Surveys in Social Research
London, Routledge
Mason, Jennifer (2002) Qualitative Researching
London, Sage
Flick, Uwe (2002) An Introduction to Qualitative Research
London, Sage
Burns, Robert B (2000) Introduction to Research Methods
London, Sage
Bryman, Alan (2004) Social Research Methods
Oxford, Oxford University Press
Brooks, Chris (2002) Introductory Econometrics for Finance
Cambridge University Press
Ryan B, Scapens R W and Theobald M (2002) Research Method and Methodology in Accounting and Finance
2nd edition. Thomson
Notes
This module is at CQFW Level 7