BU4S12 - Quantitative Research 01 Sep 2021 - 31 Aug 2027 | Version 3
Associated Module Information
| Module Code: | BU4S12 | ||
|---|---|---|---|
| Module Title: | Quantitative Research | ||
| Faculty: | Faculty of Business and Creative Industries | ||
| Faculty Group: | Professional Development | ||
| Faculty Sub Group: | Professional Development | ||
| Module Leader: | Lauren Thomas | ||
| Module Team: | Adam Poole, Simon Thomas | ||
| First Intended Intake: | SEP 2021 | Final Year of Intake: | 2026 |
| Date Closed: | |||
| Credit Value: | 20 | Credit Level: | 7 |
| Language: | English | ||
| Percentage of Module Taught in Welsh: | 0 | ||
| Equivalent Module: | |||
| HECOS codes: | |||
| HECOS Code Weighting: | |||
Document Version Information
| Version | 3 |
|---|---|
| Valid From | 01 Sep 2021 |
| Valid To | 31 Aug 2027 |
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 | Critically explore and apply the main quantitative methods used, (such as surveys, analysis of secondary data, and experimental design). |
| LO2 | Evaluate, discuss and 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 |
|---|---|---|---|---|---|---|---|
| Asynchronous Assessment | Document analysis 1 | Conduct an analysis and interpret findings from a data set | 0 | 2000 | 50 | No | 40 |
| Asynchronous Assessment | Critique 1 | Students are to critique a quantitative journal article from their area of research | 0 | 2500 | 50 | No | 40 |
Assessment Matrix
| Assessment Type | Learning Outcomes | ||
|---|---|---|---|
| LO1 | LO2 | ||
| Document analysis 1 | ✔ | ✔ | |
| Critique 1 | ✔ | ✔ | |