MSc (Dent Sci) PDC Research DENT5030

  • Academic Session: 2019-20
  • School: School of Medicine Dentistry and Nursing
  • Credits: 60
  • Level: Level 5 (SCQF level 11)
  • Typically Offered: Runs Throughout Semesters 1 and 2
  • Available to Visiting Students: Yes

Short Description

To facilitate the acquistion, integration, and synthesis of research skills, promoting high quality clinical,
academic and research standards within a supportive environment.

Timetable

Normally classes in weeks 1-13 will occur one day per week and there will be time for face to face contact in the form of seminars, essay handback, and tutorials. In weeks 14-39 this contact will be half of one day per week with the remaining half day being spent in own dental practices conducting a clinical audit project.

Requirements of Entry

The Research Course can only be commenced after successfully completing the Core Curriculum Course and one of the Specialty Courses, either Paediatric Dentistry or Special Needs Dentistry.

Assessment

Assignment I: Proposal for Audit /Research project and Ethical Approval for the Project
Assignment II: Completed Audit or Research project.
Assigment III: Oral presentation (Power Point) and Poster Presentation of completed Audit or Research project.
Examination: 2 Data Handling Scenarios.

Main Assessment In: April/May

Course Aims

To facilitate the acquistion, integration, and synthesis of research skills, promoting high quality clinical,
academic and research standards within a supportive environment.

Intended Learning Outcomes of Course

The student should be able to demonstrate:
1. A critical understanding of the range of design solutions used in quantitative
research and audit
2. A critical understanding of the importance of methodological rigour in testing
hypotheses and evaluating research quality.
3. A critical understanding of the concepts of sample size, significance criterion,
population effect size, and statistical power and the relationships between these contructs.
4. A critical understanding of the principles of confidence limits around the mean,
measure of effect and size of effect.
5. A critical understanding of the principles and procedures involved in the
analysis of differences between two groups and between three or more groups/conditions.
6. A critical understanding of what is meant by analysis of variance.
7. A critical understanding of the basic principles of establishing reliability and
validity of measurement.
8. A critical understanding of the basic principles of regression analysis.
9. Competence in evaluating data for the purposes of regression analysis and correlation
analysis.
10. Communication skills, using appropriate methods, to a range of audiences with different
levels of knowledge/expertise.