Develop skills and knowledge in the evaluation of research evidence, in order to guide and inform professional practice and policy decisions. Learn research methods that enable you to develop skills in critical appraisal of research.
Gain an overview of the (1) current state of research in health and social care; (2) access, use and the development of information systems; (3) critical appraisal methods; (4) main research methodologies and strategies; (5) health service evaluation; (6) ethical issues in research; and (7) innovations in research and the development of new methodologies.
A comprehensive guided tour of the data management procedures in SPSS, including data entry, data management, coding of data, an introduction to SPSS syntax, as well as creating and designing graphics and tables. Suitable for those who have not used SPSS before.
Learn about the underpinning logical arguments for statistical inference and the terminology used in this hands-on course. SPSS is used throughout the day, so attendees are expected to be familiar with this statistical software as well as descriptive statistics.
This course is a logical continuation of the Introduction to Statistics 1 course. Besides continuing to cover the commonly used statistical tests, it also provides an overview of selecting the most appropriate statistical test.
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.
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.