21
Oct
Multinominal Regression
This workshop comes fifth in a series of workshops on the statistical analysis of Likert-scaled survey data. Although all of these workshops use R, we focus on interpretation of outputs, which are similar across packages. So participants can ignore the "R" code and sit next to someone else producing the outputs.
20
Oct
Assembling Mixed Methods with Surveys and Interviews
In this workshop we demonstrate how to assemble mixed methods studies involving surveys and interviews. By assembling we mean putting together different components of a mixed methods study, including how qual(itative) and quant(itative) components combine, how data collected is "mixed" across qual and quant components and how results are combined. Other workshops go into the detail of how data would be collected to inform particular qual and quant methods
18
Oct
Bayesian for Toddlers
You may have wondered: what is all the fuss, about Bayesian statistics? If so, please come to this reading of "Bayesian probability for Babies", together with my own ending, for researchers. In his book, astrophysicist Chris Ferrie tells a story about cookies, and the chance of a bite with no candy on it. In fact, this is a clever, visual metaphor for the Bayesian concepts of data, and the probability of hypotheses given the data observed.
17
Oct
Qualitative validation of surveys
This session will guide participants on how to implement qualitative research techniques in the initial phases of survey validation, before quantitative survey validation techniques are applied.
11
Oct
Bayesian Ideas in Pictures
Ever wondered what Bayesian thinking is? And how it relates to Bayesian statistical modelling? Or Bayesian networks? Or Empirical Bayes estimates? Bayes theorem lies at the heart of all of these methodologies, in different ways. This talk explains the core ideas of Bayes' theorem, simply. The approach is based on the cookie analogy used by a quantum physicist to explain (and illustrate) Bayesian ideas to toddlers (and their parents).
04
Oct