IHA Third Friday Research Methods Seminars
The Institute for Health & Ageing is pleased to present seminars on research methods for health researchers.
Friday 19 August, 2-3pm: Data Management
Friday 16 September, 2-3pm: Nuts and bolts of Factor Analysis and Principal Component Analysis: purpose, steps and applications
Friday 21 October, 2-3pm: Introduction to Directed Acyclic Graphs (DAGs)
Friday 18 November, 2-3pm: Systematic literature reviews
Friday 16 December, 2-3: An Overview of R Statistical software
Room 6.02, Level 6, 215 Spring street Melbourne or by telephone or audio-visual conference.
The seminars are designed to provide a brief overview of a range of methodological aspects of designing, managing and analysing the results of research studies. Presentations will be followed by an opportunity for questions and discussion.
August’s seminar is on Friday the 19th when Paul McElwee and Jeretine Tan of IHA will provide an introduction to the importance of data management, the techniques and its benefits, followed by information about data dictionaries and how best for an institution or organisation to maintain one. To facilitate the discussion, the HABITAT data dictionary will be used as an example.
The following seminar on September 16th is presented by IHA’s Dr Lucy Busija who will discuss Nuts and bolts of exploratory factor analysis and principal component analysis: purpose, steps, and applications.
The seminar will present a brief overview of exploratory factor analysis (EFA) and principal component analysis (PCA). Dr Busija will begin with examples of research questions that can be addressed with EFA and PCA, summarise the similarities and differences between these techniques, and highlight the settings in which one of these analytical approaches might be preferable to the other. She will then briefly outline the steps involved in the process of EFA and PCA. The seminar will conclude with examples of ‘appropriate’ and ‘inappropriate’ applications of each of these statistical techniques.
Directed Acyclic Graphs, or DAGs, have emerged as a useful epidemiological tool to graphically encode relationships between variables that can refine research questions and decide appropriate analytic plans.
Jerome and Venurs have provided an example of a DAG for you – depicting how your internet shopping habits might determine your attendance at this seminar.
On Friday the 18th of November, Dr Karen Lim and Kristen Holdsworth will present an outline of conducting (qualitative and quantitative) systematic literature reviews, including planning, database searching, screening, and synthesis. They will touch on tools to help with the process and the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) Statement.
The last seminar for the year on December 16th, will be presented by Manoj Chandrabose who will offer an Overview of R statistical software – a free software which is becoming increasingly popular among researchers for statistical data analysis and graphical visualisation. R’s large number of Contributed Packages, makes it a good alternative to commercial statistical packages such as STATA, SAS or SPSS. This seminar will introduce you to R and RStudio which is an Integrated Development Environment (IDE) of R. The seminar will also demonstrate how to perform some standard data analysis (linear and logistic regression, ANOVA etc) through Graphical User Interface (GUI) packages of R without using commands. The ways of developing your R skills for advanced data analysis will also be explained briefly.
IHA encourages interested colleagues to attend in person at the IHA offices (Room 6.02, Level 6, 215 Spring street Melbourne), or by telephone or audio-visual conference.
ACU colleagues could dial in from a campus A/V meeting room, or by using Polycom Realpresence on their computer desktop. A/V room bookings can be made via Servicedesk@acu.edu.au or by calling 07 3623 7272. The Servicedesk can also assist with Polycom installation on your PC or laptop.
The seminars start at 2pm and go for an hour. You may like to download our Research Methods flyer for more information.
Register your interest at IHA@acu.edu.au.