PHVIT9300 Quantitative Methods Course description

This course is based on PHVIT9100, Health Sciences II: Philosophy of Science, Research Ethics and Research Methodology. It takes a critical perspective of quantitative methodology related to research processes where quantitative design is relevant. The course also covers how the choice of different quantitative methods affect the quality of research. The application of different designs (cross-sectional, longitudinal, clinical trial, experimental) and advanced statistical analysis (regression analysis, repeated measurement, survival analysis, power analysis) is discussed.

Admission to the PhD programme.

The course can also be offered to students who have been admitted to the "Health Science Research Programme, 60 ECTS", by prior approval from the supervisor and based on given guidelines for the research programme.

On completion of the course, the PhD candidate has achieved the following learning outcomes, defined in terms of knowledge, skills, and general competence:

Knowledge

The PhD candidate

• is at the forefront of knowledge in selected quantitative methods
• is at the forefront of knowledge of selected quantitative analyses, interpretations, and forms of documentation in the field
• can evaluate the usefulness and application of different quantitative designs in health science research processes

Skills

The PhD candidate can

• plan a health science research project with relevant quantitative designs and methods
• analyse, interpret, and disseminate the results of quantitative research
• address complex scientific issues and challenge established knowledge and practice in quantitative methodology

General competence

The PhD candidate can

• argue in favour of particular quantitative approaches based on scientific theory
• identify relevant ethical issues and conduct research based on quantitative methodology with professional integrity
• can participate in discussions on quantitative methodology

Work and teaching methods consist of lectures, seminars, self-study, and practical exercises in the use of different software programmes for statistical analysis. The outcomes of the seminars are presented and discussed in plenary sessions.

None

Individual home examination based on specific questions. To be submitted no more than two weeks after the end of the course. Answer papers must consist of up to 3500 words.

All

Grades are awarded on the basis of pass or fail.

One internal examiner