Statistical Training Program

Mixed Methods 1 - Introducing Mixed Methods Foundations
16 May

Mixed Methods 1 - Introducing Mixed Methods Foundations

First in the series of workshops about Mixed Methods, this workshop investigates the meanings and underlying "ologies" of Mixed Methods research, which adopts both qualitative and quantitative methods.
Taming ggplot Graphics in R
16 May

Taming ggplot Graphics in R

This workshop builds on the previous one (Excellent Graphics in R), which showed how ggplot supports Tufte's principles of excellence, for visualising data. Underlying ggplot is a Grammar of Graphics, a powerful framework for drawing all kinds of graphs.
Excellent Graphics in R
28 Mar

Excellent Graphics in R

This workshop complements other resources that focus on "How do I make this graph in R?", e.g. workshops that focus on programming in R, and the fantastic online help. Rather, this workshop addresses "How can I use R to create 'excellent' graphics?"
SEM 7 - Questioning SEM
16 Mar

SEM 7 - Questioning SEM

Do you have questions about the meaning of SEM, compared to other options available? Do you wish to refine your understanding of SEM issues, so that you can better interpret & critically assess research in your field that uses SEM? Then this workshop is for you!
SEM 6 - Readings on SEM
14 Mar

SEM 6 - Readings on SEM

This workshop is structured as a reading group on SEM. This is a classic structure used in academia, with researchers (including HDRs) learning about a new topic in a group.
Because of this, there will be very little material presented by the facilitator. Instead, participants are asked to comment on their reading of a portion of at least one paper from among those listed. The facilitator may add to the discussion, which is initiated by participants.
SEM 5 - Mediation and model checking
09 Mar

SEM 5 - Mediation and model checking

This workshop follows on from "SEM for Basic Pathway Models". After running a simple pathway analysis using SEM, we provide practical advice on how to detect inadequate model performance via diagnostics, and then suggest some remedies. This includes examining the possibility of extending an SEM to include moderation.