This unit will deepen your knowledge about design of observational and experimental studies in health, current issues in health research and statistical procedures for data analysis. We will discuss published studies and analyse our own data using correlation, linear regression, t-test, ANOVA, odds ratio, relative risk, etc., with understanding of fundamentals of statistical theory. You will develop the ability to draw a sound conclusion about the research question taking into account both statistical result and study design. You will learn to use Statistical Package for Social Sciences (SPSS), and how to write concise research reports. The unit will prepare you to be a critical reader of health research and to engage in further research training should you wish to do so.
1x2-hr lecture/week, 1x1-hr laboratory session/week, 1x1-hr tutorial session/fortnight
Group presentation (7%), Quizzes (18%), 1200wd report (25%) and end of semester exam (50%)
There is no single textbook. Recommended textbooks are: Field, A. (2013 or 2018). Discovering statistics using IBM SPSS statistics (4th or 5th ed.). Los Angeles: Sage. Portney, L. G., and Watkins, M. P. (2009/2019). Foundations of clinical research: Applications to practice (3rd or 4th ed.). Essex, England: Pearson Education Limited. Saks, M. and Allsop, J. (2013) Researching health: Qualitative, quantitative and mixed methods. London: Sage.
Students taking the Health major or minor from Table S who have not met the MATH or DATA pre-requisites may be granted permission to enrol on a case-by-case basis
HSBH1007 or HSBH2007Prohibitions
PSYC2012 or SCLG3603