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Curricular information is subject to change
By the end of the module, students will be able to
Demonstrate knowledge of quantitative research methods that underpin epidemiology that are appropriate for OSH research
Demonstrate knowledge of the process of collecting and analysing data for a research project in OSH
Be capable of using SPSS to carry out, present and interpret results for descriptive and analytical statistical tests in a manner that shows understanding of the underpinning tests used.
Prepare a preliminary draft proposal for a research project suitable for a Masters level dissertation, including a proposal for use of appropriate research methods and study design, relevant to OSH research.
This module provides you with the knowledge and skills that will contribute to your ability to carry out a research project. Quantitative research methods are introduced that can be applied in all work sectors from an OSH perspective.
The module provides you with skills on understanding data, from planning and collection through to cleansing and analysis.
United Nations Sustainable Development Goals (SDGs) https://sustainabledevelopment.un.org/sdgs
The learning outcomes for this module are consistent with achieving the objectives of SDG 3 (Good Health) and SDG 8 (Decent Work) from an occupational health and well-being perspective, and the objectives of SDG 4 (Quality Education) as this module contributes to fostering an inclusive and equitable education that promotes lifelong learning for all.
| Student Effort Type | Hours |
|---|---|
| Lectures | 24 |
| Computer Aided Lab | 12 |
| Specified Learning Activities | 24 |
| Autonomous Student Learning | 100 |
| Total | 160 |
Not applicable to this module.
| Description | Timing | Component Scale | % of Final Grade | ||
|---|---|---|---|---|---|
| Assignment: Assignment 2 - Data Analysis 1 (RS) | Week 9 | n/a | Graded | No | 30 |
| Assignment: Assignment 4 - Data Analysis 2 (RS) | Coursework (End of Trimester) | n/a | Graded | No | 30 |
| Assignment: Assignment 3 - Research Methods 2 (ML) | Week 11 | n/a | Graded | No | 30 |
| Assignment: Assignment 1 - Research Methods 1 (ML) | Week 5 | n/a | Graded | No | 10 |
| Resit In | Terminal Exam |
|---|---|
| Spring | No |
• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
• Self-assessment activities
There are four assignments in this module - two focusing on research methods (40% of module) and two focusing on data analysis (60% of module). These assignments are conducted in a sequence but it is essential that students read the instructions for the research methods assignments together and the data analysis assignments together. You will receive individual feedback on all components and overarching group feedback will be provided as appropriate.
| Name | Role |
|---|---|
| Assoc Professor Conor Buggy | Lecturer / Co-Lecturer |
| Dr Alison Connolly | Lecturer / Co-Lecturer |
| Mr Martin Lawless | Lecturer / Co-Lecturer |
| Dr Ricardo Piper Segurado | Lecturer / Co-Lecturer |
| Dr Penpatra Sripaiboonkij | Lecturer / Co-Lecturer |
| Lecture | Offering 1 | Week(s) - 1, 3, 4, 6, 7, 9, 10 | Tues 14:00 - 16:50 |
| Lecture | Offering 1 | Week(s) - 11 | Tues 14:00 - 16:50 |
| Lecture | Offering 1 | Week(s) - 13 | Tues 14:00 - 16:50 |
| Computer Aided Lab | Offering 1 | Week(s) - 2, 5, 8, 12 | Tues 14:00 - 16:50 |