BU4S06 - Quantitative Research 01 Sep 2020 - 31 Aug 2021 | Version 1
Associated Module Information
| Module Code: | BU4S06 | ||
|---|---|---|---|
| Module Title: | Quantitative Research | ||
| Faculty: | Faculty of Business and Creative Industries | ||
| Faculty Group: | Leadership and Public Services | ||
| Faculty Sub Group: | Leadership and Public Services | ||
| Module Leader: | Lauren Thomas | ||
| Module Team: | Stuart Milligan | ||
| First Intended Intake: | SEP 2020 | Final Year of Intake: | 2025 |
| Date Closed: | |||
| Credit Value: | 20 | Credit Level: | 7 |
| Language: | English | ||
| Percentage of Module Taught in Welsh: | 0 | ||
| Equivalent Module: | |||
| HECOS codes: | 100078 - business and management | ||
| HECOS Code Weighting: | 100 | ||
Document Version Information
| Version | 1 |
|---|---|
| Valid From | 01 Sep 2020 |
| Valid To | 31 Aug 2021 |
Module Aims
To equip doctoral students with an understanding of the rationale for and appropriate use of quantitative methods in social research, and the skills to conduct quantitative research.
Content Summary
- Understand the relationships between qualitative and quantitative research methods.
- Appreciate the strengths and weaknesses of different quantitative methods.
- Be able to define a researchable problem and formulate research questions and hypotheses.
- Learn to read critically published quantitative research and be able to debate the appropriateness of different methods.
- Be able to carry out simple descriptive analysis
- Select an appropriate statistical test
- Interpret cross-tabulations, results from chi-square tests, and correlations
- Be able to generate basic descriptive and inferential statistics using statistical software
Professional practice skills:
- Understand ethical issues in relation to quantitative research
- Acquire computing skills
Learning and Teaching Methods
| Activity Type | Hours |
|---|---|
| Lecture | 10 |
| Practical classes and workshops | 30 |
| Independent Study | 160 |
| Total Hours Selected | 200 |
Learning Outcomes
| # | Learning Outcome |
|---|---|
| LO1 | Be able understand and apply the main quantitative methods used, (such as surveys, analysis of secondary data, and experimental design) |
| LO2 | Gain the ability to distinguish between, generate, and appropriately use descriptive and inferential statistics |
Module Requisites
N/A
Assessment Criteria
| Assessment Category | Assessment Type | Description | Duration | Word Count | Weight (%) | Best of? | Pass Mark |
|---|---|---|---|---|---|---|---|
| Written Assignment (CW) | Critique 1 | Students are to critique a quantitative journal article from their area of research | 0 | 2500 | 50 | No | 40 |
| Written Assignment (CW) | Document Analysis (CW) 1 | Conduct an analysis and interpret findings from a data set | 0 | 2000 | 50 | No | 40 |
Assessment Matrix
| Assessment Type | Learning Outcomes | ||
|---|---|---|---|
| LO1 | LO2 | ||
| Critique 1 | ✔ | ✘ | |
| Document Analysis (CW) 1 | ✘ | ✔ | |