OSH40290 Research Methods (OSH)

Academic Year 2021/2022

This module prepares you to develop the skills needed to plan a research project that includes collection and analysis of new data that would be suitable for inclusion in an OSH Dissertation, using public and occupational health study design and associated research methods and statistical analysis. The module is delivered through a combination of blended learning lectures and computer-based workshops addressing statistical analysis.

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Curricular information is subject to change

Learning Outcomes:

By the end of the module, students will be able to

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.

Indicative Module Content:

This module provides you with the knowledge and skills that will contribute to your ability to carry out a research project. 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 Hours: 
Student Effort Type Hours
Lectures

24

Computer Aided Lab

12

Specified Learning Activities

24

Autonomous Student Learning

100

Total

160

Approaches to Teaching and Learning:
This module includes lectures and interactive activities to consolidate your learning on research methods and statistics as well as continuous assessment assignments to test and consolidate your knowledge as you progress through the module. It also introduces you to statistical software to enable you to carry out statistical analyses. 
Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Not applicable to this module.
 
Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade
Continuous Assessment: Students will complete a number of continuous assessment assignments submitted at intervals during and at the end of the module. Throughout the Trimester n/a Standard conversion grade scale 40% No

100


Carry forward of passed components
No
 
Resit In Terminal Exam
Spring No
Please see Student Jargon Buster for more information about remediation types and timing. 
Feedback Strategy/Strategies

• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
• Self-assessment activities

How will my Feedback be Delivered?

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
Mr Martin Lawless Lecturer / Co-Lecturer
Dr Ricardo Piper Segurado Lecturer / Co-Lecturer
Dr Penpatra Sripaiboonkij Lecturer / Co-Lecturer