Last Thursday, I gave my first PhD presentation (not counting my interview!) at my department’s internal conference. Second years had to give a compulsory presentation, I chose to talk about Likert scales, and I was very honoured to win second-prize in the people’s choice award. Below is my presentation (slides and narration), plus some general tips that I picked up during the process.
Does every department that uses quantitative data need a resident statistician?
To kick off explaining my general research area I’m going to explain my data-type of interest: Likert-type item data.
In my previous post I discussed my recent poster presentation. Here I’ll talk about some of the ideas that came out of my discussion with attendees (postgraduate psychology students). Is it easy for researchers to adopt Bayesian methods? What do statisticians need to do to facilitate this?
Before I start randomly posting mathematical content I thought I should make at least one post that covers the basics of Bayesian Inference. Luckily for me Bayesian methods are all the result of one basic theory and idea: Bayes’ Theorem.