18
Mar
Interviewing, to quantify expert knowledge, with uncertainty
This workshop provides a very practical approach to eliciting information from experts. We start with an exercise that then provides material for dissecting the experience, and understanding that the bulk of the work in conducting elicitation is in the preparation.
11
Mar
Formulating priors of effects, in regression and Using priors in Bayesian regression
This session introduces you to Bayesian inference, which focuses on how the data has changed estimates of model parameters (including effect sizes). This contrasts with a more traditional statistical focus on "significance" (how likely the data are when there is no effect) or on accepting/rejecting a null hypothesis (that an effect size is exactly zero).
05
Mar
SEM 3: Measurement models and Confirmatory factor analysis in SEM
A series of workshops and seminars on Structural Equation Modelling.
01
Mar
SEM 2a: The Meaning of Structural Equation Modelling (SEM)
A series of workshops and seminars on Structural Equation Modelling.
29
Feb
Bayesian for Babies
This workshop has two parts, leading you through a core idea of Bayesian statistics, relying heavily on pictures. These pictures are used to illustrate core concepts of probability -- conditional probability, priors, and posteriors.
07
Nov