Analysing Qualitative and Quantitative Data - not running 2019/20
- Module Code:
- Module Not Running 2019/20
- Year of study:
- Year 1
This course focuses on analysing data and introduces a wide range of methods applied in qualitative and quantitative research. In particular, this course discusses database management after data was collected (e.g. questionnaires, secondary data sources), which includes data structure, formatting and merging of data sets. Moreover, this course covers statistical inference, hypothesis testing, descriptive analysis and regression models. Computer laboratory sessions introduce statistical software packages such as SPSS and STATA.
Objectives and learning outcomes of the module
At the end of the course, a student should be able to…
A. Knowledge and Understanding
- Demonstrate understanding of basic econometric and statistical methods
- Demonstrate understanding of some specific applications of such methods
- Apply such understanding to a specific empirical project
- Demonstrate competence in using an econometrics software package (STATA and SPSS)
B. Subject Specific Intellectual (Cognitive) Skills
- Demonstrate quantitative skills in evaluating numerical data
C. Transferable (Key/General) Skills
- Demonstrate skills in communicating empirical findings
This module consists of a 2-hour weekly lecture over 10 weeks of term plus a revision lecture in term 3 as preparation for the final examination. Students will be supplied with a syllabus with a breakdown week by week of required and additional reading. Reading materials are usually accessed electronically from the BLE and students should come to class prepared.
This module also has a weekly 1-hour tutorial where the questions posed by the tutor relevant to the lecture are explored and discussed by the students. Students also prepare and deliver a short presentation.
Total Work load:
Students on this module will have 3 taught hours each week. Additionally, adequate personal study time should be allocated for reading and class preparation.
Method of assessment
Assessment for this module is in two elements:
- One essay of 4,000 words at 50%
- One unseen 2-hour written examination at 50%
All elements may be resubmitted.