Learn to (1) critically analyse the strengths, limitations and issues to consider with different types of epidemiological studies; (2) assess the sources of evidence routinely used as a basis for health policy and practice; (3) interpret and apply the results of basic statistical analyses, particularly inferential statistics; and (4) use appropriate tools to critically appraise the evidence used in public health.
Modular code: HL50105. Learn about the key approaches to designing qualitative, quantitative and mixed method research projects, as well as the key research methods used in practice-based research in health.
Gain an overview of what Structural Equation Modelling (SEM) is and how it relates to regression techniques and factor analysis. The software AMOS is used and you will develop skills in the use of AMOS, path diagram construction, analysis formats, output management and modelling practice. The course will then build on these concepts and skills to introduce the structural equation modelling.
Modular code: HL50082. Get an overview of evidence-based practice. Increase knowledge and develop competence in searching, accessing and using information relating to health. Learn to critically evaluate the quality of evidence sources that are used in clinical and health practice.
Gain practical tools and knowledge needed to write up qualitative research studies for publication. The focus will be on writing for publication in clinical journals, but many of the topics discussed will apply equally to writing qualitative research for any type of journal.