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Curricular information is subject to change
At the end of this module students should be able to:
- design an epidemiological study to be carried out in a clinical, public health or other scientifc setting;
- develop a research protocol to a specified framework;
- prepare a submission to a Research Ethics Committee to specified standard;
- know the major epidemiological study designs;
- choose the design most appropriate to the research question;
- be familiar with relevant sources and types of research data;
- understand sampling methods and recruitment strategies;
- understand power calculations / sample size estimation appropriate to the study design;
- design and evaluate study instruments, including questionnaires and Case Report Forms;
- oversee processes of data management, including data collection, data entry and editing;
- understand observations and variables in research data;
- know the attributes of variables that determine how data may be summarised and analysed;
- know how to create a database in SPSS, how to enter, edit and save data;
- know how to manipulate data and create new variables in SPSS and R;
- select and use appropriate statistical techniques for study data;
- carry out basic statistical analysis using SPSS or R;
- know how to represent research data in tables and figures;
- be able to present selected data in report form.
- Key elements of research protocols;
- Literature search strategies and use of Endnote;
- Ethics in clinical research; How to apply for Research Ethic Committee approval for their project;
- Epidemiological study design; Sampling methods and recruitment strategies;
- Power calculations / sample size estimation appropriate to the study design;
- Types of research data (primary/secondary; individual/aggregate) with advantages and limitations of each;
- Design of study instruments, including questionnaires, case report forms and data dictionaries;
- Collection of research data; Participant information and consenting procedures;
- Creation of a research database, data entry, editing;
- Data manipulation, and creation new variables in SPSS and R;
- Appropriate statistical techniques and statistical analysis using SPSS and R;
- Tabular and graphical representation of research results.
| Student Effort Type | Hours |
|---|---|
| Small Group | 8 |
| Computer Aided Lab | 16 |
| Specified Learning Activities | 24 |
| Autonomous Student Learning | 60 |
| Total | 108 |
Not applicable to this module.
| Description | Timing | Component Scale | % of Final Grade | ||
|---|---|---|---|---|---|
| Assignment: Computation and presentation of comparative data | Week 7 | n/a | Standard conversion grade scale 40% | Yes | 20 |
| Project: Project report based on selected questions (Assigned in Week 8 for submission by EOT) | Coursework (End of Trimester) | n/a | Standard conversion grade scale 40% | Yes | 50 |
| Assignment: Computation and presentation of descriptive data | Week 6 | n/a | Standard conversion grade scale 40% | Yes | 20 |
| Continuous Assessment: Quizzes on assigned tasks and learning outcomes | Throughout the Trimester | n/a | Standard conversion grade scale 40% | No | 10 |
| Remediation Type | Remediation Timing |
|---|---|
| In-Module Resit | Prior to relevant Programme Exam Board |
• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
Assignments: Group and Individual Feedback Course work End of Semester: Individual Feedback
| Name | Role |
|---|---|
| Ms Sandra Dunkin | Tutor |
| Parnian Jalili | Tutor |
| Mr John Loughrey | Tutor |
| Dr Catherine Phillips | Tutor |
| Mr Diarmuid Stokes | Tutor |